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NCERT Exemplar for Class 12 Maths Chapter-3 (Book Solutions)

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NCERT Exemplar for Class 12 Maths - Matrices - Free PDF Download

Free PDF download of NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices solved by expert Maths teachers on vedantu.com as per NCERT (CBSE) Book guidelines. All Chapter 3 - Matrices Exercise questions with solutions to help you to revise the complete syllabus and score more marks in your Examinations.

The NCERT Exemplar textbooks serve a critical role in imparting comprehensive and advanced knowledge of numerous concepts in NCERT textbooks for various Classes. Students can use the NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions), which are organised by subject, to understand and solve problems from any Chapter. These programmes are designed to fulfil the needs of students at all levels. Furthermore, all answers are created by subject experts using the most up-to-date CBSE standards, ensuring that students receive excellent marks in their Exams.

Competitive Exams after 12th Science
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Access NCERT Exemplar Solutions for Class 12 Maths Chapter 3 – Matrices

Short Answer:

Sample Questions:

1. Construct a matrix $A  =  {\left[ {{a_{ij}}} \right]_{2  \times  2}}$  whose elements ${a_{ij}}$ are given by ${a_{ij}}  =  {e^{2ix}}sinjx.$

Ans: Given: Elements ${{\text{a}}_{{\text{ij}}}}{\text{  =  }}{{\text{e}}^{2{\text{ix}}}}\sin {\text{jx}}{\text{.}}$

Form the elements by substituting values of ${\text{i and j}}{\text{.}}$Then, construct a matrix.

For the values of ${\text{i and j}}{\text{.}}$

\[\begin{gathered} {\text{i  =  1, j   =  1 gives }}{{\text{a}}_{{\text{11}}}}{\text{  =  }}{{\text{e}}^{2{\text{x}}}}\sin {\text{x}} \hfill \\ {\text{i  =  1, j   =  2 gives }}{{\text{a}}_{{\text{12}}}}{\text{  =  }}{{\text{e}}^{2{\text{x}}}}\sin 2{\text{x}} \hfill \\   {\text{i  =  2, j   =  1 gives }}{{\text{a}}_{{\text{21}}}}{\text{  = }}{{\text{e}}^{{\text{4x}}}}\sin {\text{x}} \hfill \\  {\text{i  =  2, j   =  2 gives }}{{\text{a}}_{{\text{22}}}}{\text{  = }}{{\text{e}}^{{\text{4x}}}}\sin 2{\text{x}} \hfill \\ \therefore {\text{ A  =  }}\left[ {\begin{array}{*{20}{c}}  {{{\text{e}}^{2{\text{x}}}}\sin {\text{x}}}&{{{\text{e}}^{2{\text{x}}}}\sin 2{\text{x}}} \\   {{{\text{e}}^{{\text{4x}}}}\sin {\text{x}}}&{{{\text{e}}^{{\text{4x}}}}\sin 2{\text{x}}} \end{array}} \right] \hfill \\ \end{gathered} \]


2. If \[A  =   \left[ {\begin{array}{*{20}{c}}  2&3 \\   1&2 \end{array}} \right], B  =  \left[ {\begin{array}{*{20}{c}}  1&3&2 \\   4&3&1 \end{array}} \right], C  =  \left[ {\begin{array}{*{20}{c}}  1 \\   2 \end{array}} \right], D  =  \left[{\begin{array}{*{20}{c}}  4&6&8 \\   5&7&9 \end{array}} \right] then\] which of the sums \[A  +  B, B  +  C, C  +  D and B  +  D\] is defined?

Ans : Given: Matrices \[{\text{A, B and C}}{\text{.}}\]

The sum of two matrices is defined only when they have same order.

Since, matrices having same order can be added. 


Order of \[{\text{A  =   }}{\left[ {\begin{array}{*{20}{c}}  2&3 \\   1&2 \end{array}} \right]_{2{\text{ }} \times {\text{ 2}}}}{\text{ and B  =  }}{\left[ {\begin{array}{*{20}{c}}  1&3&2 \\   4&3&1 \end{array}} \right]_{2{\text{ }} \times {\text{ 3}}}},\]


Order of \[{\text{B  =  }}{\left[ {\begin{array}{*{20}{c}}  1&3&2 \\   4&3&1 \end{array}} \right]_{2{\text{ }} \times {\text{ 3}}}}{\text{ and C  =  }}{\left[ {\begin{array}{*{20}{c}}  1 \\   2 \end{array}} \right]_{2{\text{ }} \times {\text{ 1}}}},\]


Order of \[{\text{C  =  }}{\left[ {\begin{array}{*{20}{c}}  1 \\   2 \end{array}} \right]_{2{\text{ }} \times {\text{ 1}}}}{\text{and D  =  }}{\left[ {\begin{array}{*{20}{c}}  4&6&8 \\   5&7&9 \end{array}} \right]_{2{\text{ }} \times {\text{ 3}}}},\]


Order of \[{\text{B  =  }}{\left[ {\begin{array}{*{20}{c}}  1&3&2 \\   4&3&1  \end{array}} \right]_{2{\text{ }} \times {\text{ 3}}}}{\text{ and D  =  }}{\left[ {\begin{array}{*{20}{c}}  4&6&8 \\   5&7&9 \end{array}} \right]_{2{\text{ }} \times {\text{ 3}}}}.\]


Therefore, \[{\text{B  +  D with order 2 }} \times {\text{ 3}}\] is defined.


3. Show that a matrix which is both symmetric and skew symmetric is a zero matrix.

Ans : 

Given: Symmetric and Skew symmetric matrix.

For symmetric matrix \[{\text{A'  =  A}}\] and for skew symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]

Let \[{\text{A}}\] be a matrix with elements \[{{\text{a}}_{{\text{ij}}}}.\]

As, \[{\text{A}}\] is both symmetric and skew symmetric,

\[\begin{gathered} \Rightarrow {\text{ }}{{\text{a}}_{{\text{ij}}}}{\text{  = }}{{\text{a}}_{{\text{ji}}}}{\text{   (i)}} \hfill \\ \Rightarrow {\text{ }}{{\text{a}}_{{\text{ij}}}}{\text{  =  }} - {\text{ }}{{\text{a}}_{{\text{ji}}}} \hfill \\ \Rightarrow {\text{ }}{{\text{a}}_{{\text{ij}}}}{\text{  +   }}{{\text{a}}_{{\text{ji}}}}{\text{  =  0 (ii)}} \hfill \\  {\text{from (i) and (ii),}} \hfill \\  2{{\text{a}}_{{\text{ij}}}}{\text{  =  0}} \hfill \\   \therefore {\text{ }}{{\text{a}}_{{\text{ij }}}}{\text{  =  0}} \hfill \\ \end{gathered} \]

Therefore, \[{\text{A}}\] is zero matrix.


4. If \[\left[ {\begin{array}{*{20}{c}} {2x}&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1&2 \\  { -  3}&0 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  x \\   8 \end{array}} \right]  =  0,\] find the value of \[{\text{x}}{\text{.}}\]

Ans:  Given: \[\left[ {\begin{array}{*{20}{c}}  {2{\text{x}}}&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ 3}}}&0 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\text{x}} \\   8 \end{array}} \right]{\text{  =  0}}{\text{.}}\]

Use matrix multiplication. Then compare the elements with the zero matrix.

Here,

\[\begin{gathered}  \left[ {\begin{array}{*{20}{c}}  {2{\text{x}}}&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ 3}}}&0 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\text{x}} \\   8 \end{array}} \right]{\text{  =  0}} \hfill \\ \end{gathered} \]

\[\begin{gathered}    \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}} {2{\text{x } }- {\text{ 9}}}&{4{\text{x}}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}} {\text{x}} \\ 8 \end{array}} \right]{\text{  =  [0]}} \hfill \\ \end{gathered} \]

\[\begin{gathered}  \Rightarrow {\text{ [}}2{{\text{x}}^2}{\text{ }} - {\text{ 9x  +  32x]  =  [0]}} \hfill \\ \end{gathered} \]

\[\begin{gathered} \Rightarrow {\text{ }}2{{\text{x}}^2}{\text{ }} - {\text{ 23x  =  0 }} \hfill \\ \Rightarrow {\text{ x(2x  +  23)  =  0}} \hfill \\ \Rightarrow {\text{ x  = 0, x  =  }}\frac{{ - {\text{ 23}}}}{2}{\text{  }} \hfill \\ \end{gathered} \]


5. If \[A is 3  \times  3\] invertible matrix, then show that for any scalar\[k(non zero), kA\] is invertible and \[{(kA)^{ -  1}}  =  \frac{1}{k}{A^{ -  1}}.\]

Ans :Given: \[{\text{A is 3 }} \times {\text{ 3}}\] invertible matrix.


For invertible matrix, \[{\text{A}}{{\text{A}}^{ - {\text{ 1}}}}{\text{  =  I}}{\text{.}}\]

Here,

\[\begin{gathered} {\text{(kA)}}\left( {\frac{1}{{\text{k}}}{{\text{A}}^{ - {\text{ 1}}}}} \right){\text{  =  }}\left( {{\text{k}}{\text{.}}\frac{1}{{\text{k}}}} \right)({\text{A}}{{\text{A}}^{ - {\text{ 1}}}}) \hfill \\ \Rightarrow {\text{ 1}}{\text{.I  =  I}} \hfill \\  \therefore {\text{ (kA) is inverse of }}\left( {\frac{1}{{\text{k}}}{{\text{A}}^{ - {\text{ 1}}}}} \right). \hfill \\ \end{gathered} \]


Long Answer:

6. Express the matrix \[{\text{A}}\] as the sum of a symmetric and a skew symmetric matrix, where \[A  =  \left[ {\begin{array}{*{20}{c}}  2&4&{ -  6} \\   7&3&5 \\   1&{ -  2}&4 \end{array}} \right].\]

Ans : Given: Matrix \[{\text{A}}{\text{.}}\]


The matrix \[{\text{A}}\] is expressed as \[\frac{{{\text{A  +  A'}}}}{2}{\text{  +  }}\frac{{{\text{A }} - {\text{ A'}}}}{2}.\]Here \[\frac{{{\text{A  +  A'}}}}{2}{\text{ is symmetric and }}\frac{{{\text{A }} - {\text{ A'}}}}{2}\] is skew-symmetric matrix.


Here,

\[\begin{gathered}  {\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  2&4&{ - {\text{ 6}}} \\ 7&3&5 \\   1&{ - {\text{ 2}}}&4 \end{array}} \right],{\text{ then A'  =  }}\left[ {\begin{array}{*{20}{c}}  2&7&1 \\   4&3&{ - {\text{ 2}}} \\   { - {\text{ 6}}}&5&4  \end{array}} \right] \hfill \\ {\text{now, }}\frac{{{\text{A  +  A'}}}}{2}{\text{  =  }}\frac{1}{2}\left[ {\begin{array}{*{20}{c}}  4&{11}&{ - {\text{ 5}}} \\   {11}&6&3 \\   { - {\text{ 5}}}&3&8 \end{array}} \right] \hfill \\ \end{gathered} \] \[ \Rightarrow {\text{ }}\frac{{{\text{A  +  A'}}}}{2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  2&{\frac{{11}}{2}}&{\frac{{ - {\text{ 5}}}}{2}} \\   {\frac{{11}}{2}}&3&{\frac{3}{2}} \\   {\frac{{ - {\text{ 5}}}}{2}}&{\frac{3}{2}}&4 \end{array}} \right]\] \[\begin{gathered} {\text{now, }}\frac{{{\text{A }} - {\text{ A'}}}}{2}{\text{  =  }}\frac{1}{2}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ 3}}}&{ - {\text{ 7}}} \\   3&0&7 \\   7&{ - {\text{ 7 }}}&0 \end{array}} \right] \hfill \\ \Rightarrow {\text{ }}\frac{{{\text{A }} - {\text{ A'}}}}{2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&{\frac{{ - {\text{ 3}}}}{2}}&{\frac{{ - {\text{ 7}}}}{2}} \\   {\frac{3}{2}}&0&{\frac{7}{2}} \\   {\frac{7}{2}}&{\frac{{ - {\text{ 7}}}}{2}}&0 \end{array}} \right] \hfill \\  \therefore {\text{ }}\frac{{{\text{A  +  A'}}}}{2}{\text{  +  }}\frac{{{\text{A }} - {\text{ A'}}}}{2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  2&{\frac{{11}}{2}}&{\frac{{ - {\text{ 5}}}}{2}} \\   {\frac{{11}}{2}}&3&{\frac{3}{2}} \\   {\frac{{ - {\text{ 5}}}}{2}}&{\frac{3}{2}}&4  \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  0&{\frac{{ - {\text{ 3}}}}{2}}&{\frac{{ - {\text{ 7}}}}{2}} \\   {\frac{3}{2}}&0&{\frac{7}{2}} \\   {\frac{7}{2}}&{\frac{{ - {\text{ 7}}}}{2}}&0 \end{array}} \right] \hfill \\  {\text{ =  }}\left[ {\begin{array}{*{20}{c}}  2&4&{ - {\text{ 6}}} \\   7&3&5 \\   1&{ - {\text{ 2}}}&4 \end{array}} \right] \hfill \\  {\text{ =  A}}{\text{.}} \hfill \\ \end{gathered} \]


7. If \[A  =  \left[ {\begin{array}{*{20}{c}}  1&3&2 \\   2&0&{ -  1} \\   1&2&3 \end{array}} \right],\]then shoe that \[{\text{A}}\]satisfies the equation \[{A^3}  - 4{A^2}  -  3A  +  11I  =  0.\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


First, find \[{{\text{A}}^3}{\text{ and }}{{\text{A}}^2}.\] Then, substitute in the equation.


Here,

\[\begin{gathered}  {{\text{A}}^2}{\text{  =  A }} \times {\text{ A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&3&2 \\   2&0&{ - {\text{ 1}}} \\   1&2&3 \end{array}} \right]{\text{ }} \times {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&3&2 \\   2&0&{ - {\text{ 1}}} \\   1&2&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}   {1{\text{  +  6  +  2}}}&{3{\text{  +  0  +  4}}}&{2{\text{  -  3  +  6}}} \\   {2{\text{  +  0 }} - {\text{ 1}}}&{6{\text{  +  }}0{\text{ }} - {\text{ 2}}}&{4{\text{  +  0 }} - {\text{ 3}}} \\    {1{\text{  +  4  +  3}}}&{3{\text{  +  0  +  6}}}&{2{\text{ }} - {\text{ 2  +  9}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  9&7&5 \\   1&4&1 \\   8&9&9 \end{array}} \right] \hfill \\   {\text{Now, }}{{\text{A}}^3}{\text{  =  }}{{\text{A}}^2}{\text{ }} \times {\text{ A}} \hfill \\    \Rightarrow {\text{ }}{{\text{A}}^3}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  9&7&5 \\   1&4&1 \\   8&9&9 \end{array}} \right]{\text{ }} \times {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&3&2 \\   2&0&{ - {\text{ 1}}} \\   1&2&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^3}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {9{\text{  +  14  +  5}}}&{27{\text{  +  0  +  10}}}&{18{\text{ }} - {\text{ 7  +  15}}} \\   {1{\text{  +  8  +  1}}}&{3{\text{  +  0  +  2}}}&{2{\text{ }} - {\text{ 4  +  3}}} \\   {8{\text{  +  18  +  9}}}&{24{\text{  +  0  +  18}}}&{16{\text{ }} - {\text{ }}9{\text{  +  27}}} \end{array}} \right] \hfill \\  {{\text{A}}^3}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {28}&{37}&{26} \\   {10}&5&1 \\   {35}&{42}&{34} \end{array}} \right] \hfill \\ \end{gathered} \]


Substitute the values in the equation, \[{{\text{A}}^3}{\text{  -  4}}{{\text{A}}^2}{\text{  -  3A  +  11I  =  0}}{\text{.}}\]


\[\begin{gathered}  {\text{ =  }}\left[ {\begin{array}{*{20}{c}}  {28}&{37}&{26} \\   {10}&5&1 \\   {35}&{42}&{34} \end{array}} \right]{\text{ }} - {\text{ 4}}\left[ {\begin{array}{*{20}{c}}  9&7&5 \\   1&4&1 \\   8&9&9 \end{array}} \right]{\text{ }} - {\text{ 3}}\left[ {\begin{array}{*{20}{c}}  1&3&2 \\   2&0&{ - {\text{ 1}}} \\   1&2&3 \end{array}} \right]{\text{  +  11}}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&1&0 \\   0&0&0 \end{array}} \right] \hfill \\   = {\text{ }}\left[ {\begin{array}{*{20}{c}}  {28{\text{ }} - {\text{ 36 }} - {\text{ 3  +  11}}}&{37{\text{ }} - {\text{ 28 }} - {\text{ 9  +  0}}}&{26{\text{ }} - {\text{ 20 }} - {\text{ 6  +  0}}} \\   {10{\text{ }} - {\text{ 4 }} - {\text{ 6  +  0}}}&{{\text{5 }} -{\text{ 16  +  0  +  11}}}&{1{\text{ }} - {\text{ 4  +  3  +  0}}} \\  {35{\text{ }} - {\text{ 32 }} - {\text{ 3  +  0}}}&{42{\text{ }} - {\text{ 36 }} - {\text{ 6  +  0}}}&{34{\text{ }} - {\text{ 36 }} - {\text{ 9  +  11}}} \end{array}} \right] \hfill \\  {\text{ =  }}\left[ {\begin{array}{*{20}{c}}  0&0&0 \\   0&0&0 \\   0&0&0 \end{array}} \right] \hfill \\  {\text{ =  0}} \hfill \\ \end{gathered} \]


8. Let \[A  =  \left[ {\begin{array}{*{20}{c}}  2&3 \\   { -  1}&2 \end{array}} \right].\] Then show that \[{A^2}  -  4A  +  7I  =  0.\]Using this result calculate \[{A^5}\] also.

Ans : Given: Matrix \[{\text{A}}{\text{.}}\]


First, find \[{{\text{A}}^2}{\text{ and use }}{{\text{A}}^5}{\text{  =  }}{{\text{A}}^3}{{\text{A}}^2}.\]


Here,

\[\begin{gathered}  {{\text{A}}^2}{\text{  =  A }} \times {\text{ A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  2&3 \\   { - {\text{ 1}}}&2  \end{array}} \right]{\text{ }} \times {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&3 \\   { {\text{ 1}}}&2 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&{12} \\   { - {\text{ 4}}}&1 \end{array}} \right] \hfill \\  \end{gathered} \]


Substitute in the equation, \[{{\text{A}}^2}{\text{ }} - {\text{ 4A  +  7I  =  0}}{\text{.}}\]


\[\begin{gathered}   = {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&{12} \\   { - {\text{ 4}}}&1  \end{array}} \right]{\text{  -  4}}\left[ {\begin{array}{*{20}{c}}  2&3 \\   { - {\text{ 1}}}&2  \end{array}} \right]{\text{  +  7}}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&0 \end{array}} \right] \hfill \\   = {\text{ }}\left[ {\begin{array}{*{20}{c}}  {1{\text{ }} - {\text{ 8  +  7}}}&{12{\text{ }} - {\text{ 12  +  0}}} \\   { - {\text{ 4  +  4  +  0}}}&{1{\text{ }} - {\text{ 8  +  7}}} \end{array}} \right] \hfill \\   = {\text{ }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&0  \end{array}} \right] \hfill \\ \end{gathered} \]


\[\begin{gathered}   = {\text{ 0}} \hfill \\  \therefore {\text{ }}{{\text{A}}^2}{\text{ }} - {\text{ 4A  +  7I  =  0}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  4A  -  7I}} \hfill \\  {\text{Now,}} \hfill \\ \end{gathered} \]


\[\begin{gathered}  {{\text{A}}^3}{\text{  =  A}}{\text{.}}{{\text{A}}^2} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^3}{\text{  =  A}}.({\text{4A }} - {\text{ 7I}}) \hfill \\  \Rightarrow {\text{ }}{{\text{A}}^3}{\text{  =  4}}({\text{4A }} - {\text{ 7I}}){\text{ }} - {\text{ 7A}} \hfill \\ \end{gathered} \]


\[\begin{gathered}   \Rightarrow {\text{ }}{{\text{A}}^3}{\text{  =  16A  -  28I }} - {\text{ 7A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^3}{\text{  =  9A }} - {\text{ 28I}} \hfill \\  {\text{Now, }}{{\text{A}}^5}{\text{  =  }}{{\text{A}}^3}{{\text{A}}^2} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^5}{\text{  =  (9A }} - {\text{ 28I}})({\text{4A }} - {\text{ 7I}}) \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^5}{\text{  =  }}36{{\text{A}}^2}{\text{  -  63A  -  112A  +  196I}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^5}{\text{  =  }}36({\text{4A }} - {\text{ 7I}}){\text{ }} - {\text{ 175A  +  196I}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^5}{\text{  = }} - {\text{ 31A }} - {\text{ 56I}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^5}{\text{  =  }} - {\text{ 31}}\left[ {\begin{array}{*{20}{c}}  2&3 \\   { - {\text{ 1}}}&2 \end{array}} \right]{\text{ }} - {\text{ 56}}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^5}{\text{  =  }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  {62}&{93} \\   { - {\text{ 31}}}&{62} \end{array}} \right]{\text{ }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  {56}&0 \\   0&{56} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^5}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 62 }} - {\text{ 56}}}&{ - {\text{ 9}}3{\text{ }} - {\text{ 0}}} \\  {31}&{ - {\text{ 62 }} - {\text{ 56}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^5}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 118}}}&{ - {\text{ 9}}3} \\   {31}&{ - {\text{ 118}}} \end{array}} \right] \hfill \\ \end{gathered} \]


Objective Type Questions:

Choose the correct answer from the given four options in Examples \[9 to 12.\]

9. If \[A and B\] are matrices of same order, then \[(A  +  B)(A  -  B)\] is equal to

\[(A) {A^2}  -  {B^2}\]

\[(B) {A^2}  -  BA  -  AB  -  {B^2}\]

\[(C) {A^2}  -  {B^2}  +  BA  -  AB\]

\[(D) {A^2}  -  BA  +  {B^2}  +  AB\]

Ans : Given: \[{\text{A and B}}\] are matrices.

Use the matrices algebra.

Here,

\[\begin{gathered}  ({\text{A  +  B)(A }} - {\text{ B)  =  A(A }} - {\text{ B)  +  B(A }} - {\text{ B)}} \hfill \\   \Rightarrow {\text{ }}({\text{A  +  B)(A }} - {\text{ B)  =  }}{{\text{A}}^2}{\text{ }} - {\text{ AB  +  BA }} - {\text{ }}{{\text{B}}^2}. \hfill \\ \end{gathered} \]

Correct Answer: C


10. If \[A  =  \left[ {\begin{array}{*{20}{c}}  2&{ -  1}&3 \\   { -  4}&5&1 \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}  2&3 \\   4&{ -  2} \\   1&5 \end{array}} \right], then\]

(A)Only \[AB\] is defined

(B)Only \[BA\] is defined

(C)\[AB and BA\] both are defined

(D)\[AB and BA\] both are not defined

Ans: Given: Matrices \[{\text{A and B}}{\text{.}}\]


Product of two matrices is defined when column of one matrix is equal to the row of another matrix.


The order of matrix \[{\text{A is 2 }} \times {\text{ 3 and order of B is 3 }} \times {\text{ 2}}{\text{.}}\]


Therefore, both \[{\text{AB and BA}}\] is defined.

Correct Answer: C


11. The matrix \[A  =  \left[ {\begin{array}{*{20}{c}}  0&0&5 \\   0&5&0 \\   5&0&0 

\end{array}} \right]\] is a

(A)Scalar matrix

(B)Diagonal matrix

(C)Unit matrix

(D)Square matrix

Ans : Given: Matrix \[{\text{A}}{\text{.}}\]

Matrix can be square, diagonal, unit depending on the order and elements of matrix.

Since, the order of matrix \[{\text{A}}\] is \[3{\text{ }} \times {\text{ 3}}{\text{.}}\] The number of rows and columns are same.

Therefore, matrix \[{\text{A}}\] is square matrix.


Correct Answer: D


12. If \[A and B\] are symmetric matrices of the same order, then \[(AB'  -  BA')\] is a

(A)Skew symmetric matrix

(B)Null matrix

(C)Symmetric matrix

(D)None of these

Ans: Given: \[{\text{A and B}}\] are symmetric matrices.


For symmetric matrix \[{\text{A'  =  A}}\] and for skew symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


Take transpose,

\[\begin{gathered}  {\text{(AB' }} - {\text{ BA')'  =  (AB')' }} - {\text{ (BA')'}} \hfill \\  {\text{(AB' }} - {\text{ BA')'  =  (BA' }} - {\text{ AB')}} \hfill \\  {\text{(AB' }} - {\text{ BA')'  = }} - {\text{ (AB' }} - {\text{ BA')}}{\text{.}} \hfill \\ \end{gathered} \]


Correct Answer: A


Fill in the blanks in each of the Examples \[13 to 15.\]

13: If \[A and B\] are two skew symmetric matrices of same order, then \[AB\] is symmetric matrix if ______  .

Ans: Given: \[{\text{A and B}}\] are two skew symmetric matrices.


For symmetric matrix \[{\text{A'  =  A}}\] and for skew symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


Take transpose,

\[\begin{gathered}  {\text{(AB)'  =  B'A'}} \hfill \\   \Rightarrow {\text{ (AB)'  =  (}} - {\text{ B)(}} - {\text{ A)}} \hfill \\  {\text{(AB)'  =  BA}} \hfill \\  {\text{if, AB  =  BA, then}} \hfill \\   {\text{(AB)'  =  AB}}{\text{.}} \hfill \\ \end{gathered} \]


For \[{\text{AB}}{\text{  =  BA, AB}}\] is symmetric matrix.


14. If \[A and B\] are matrices of same order, then \[(3A  -  2B)'\] is equal to ____ .

Ans: Given: \[{\text{A and B}}\] are matrices.


Take transpose of \[{\text{(3A }} - {\text{ 2B)'}}{\text{.}}\]


Taking transpose,

\[{\text{(3A }} - {\text{ 2B)'  =  3A' }} - {\text{ 2B'}}{\text{.}}\]


15. Addition of matrices is defined if order of the matrices is _______.

Ans: Same.

The order of must be same for addition of two matrices.


State whether the statements in each of the Examples \[16{\text{ to 19}}\]  is true or false:


16. If two matrices \[A and B\] are of same order, then \[2A  +  B  =  B  +  2A.\]

Ans: Given: \[{\text{A and B}}\] are matrices.


Matrix addition is defined only for the matrices with same order.


Since, \[{\text{A and B}}\] are of same order. The matrix addition is defined.


Therefore, \[{\text{2A  +  B  =  B  +  2A}}\] is true.


17. Matrix subtraction is associative.

Ans : Given: Matrix.


Consider three matrices to verify the property of associativity.


Let \[{\text{A, B and C}}\] are matrices,

\[\begin{gathered}  {\text{(A }} - {\text{ B) }} - {\text{ C  =  A }} - {\text{ B }} - {\text{ C   (i)}} \hfill \\  {\text{A }} - {\text{ (B }} - {\text{ C)  =  A }} - {\text{ B  +  C   (ii)}} \hfill \\  {\text{(i) }} \ne {\text{ (ii)}} \hfill \\  \therefore {\text{ False}}{\text{.}} \hfill \\ \end{gathered} \]


18. For the non-singular matrix \[A, {(A')^{ -  1}}  =  ({A^{ -  1}})'.\]

Ans: For a non-singular matrix \[{\text{| A | }} \ne {\text{ 0}}{\text{.}}\] The identity \[{\text{A, (A'}}{{\text{)}}^{ - {\text{ 1}}}}{\text{  =  (}}{{\text{A}}^{ - {\text{ 1}}}})'\] is always true.


19.  for any three matrices of same order.

Ans: Given: \[{\text{A, B and C}}\] are matrices.


It is not given that, matrix \[{\text{A}}\] is invertible.


It is not mentioned that matrix \[{\text{A}}\] is invertible. 


\[{\text{AB  =  AC }} \Rightarrow {\text{ B  =  C}}\] is false for non-invertible matrix.

EXERCISE:

Short Answer Type :

1. If a matrix has \[28\] elements, what are the possible orders it can have? What if it has \[13\] elements?

Ans: Given: Number of elements in matrix.


The order of a matrix is represented by \[{\text{m }} \times {\text{ n}}{\text{.}}\] The number of elements of order \[{\text{m }} \times {\text{ n will be mn}}{\text{.}}\]


\[\begin{gathered}  {\text{For, mn  =  28,}} \hfill \\ \end{gathered} \]

Possible ordered pairs,

(m x n) = {(1,28), (2,14), (4,7), (7,4), (14,2), (28,1)}

for 28 elements possible orders 1 x 28,2 x 14,4 x 7,7 x 4,14 x 2,28 x 1

for 13 elements possible orders 1 x 13 and 13 x 1.


2. In the matrix \[A  =  \left[ {\begin{array}{*{20}{c}}  a&1&x \\   2&{\sqrt 3 }&{{x^2}  - y} \\   0&5&{\frac{{ -  2}}{5}} \end{array}} \right],\] write (i)The order of the matrix \[{\text{A}}{\text{.}}\]

Ans: First, find the order \[{\text{m }} \times {\text{ n}}\] and then number of elements using \[{\text{mn}}{\text{.}}\] General representation of element is \[{{\text{a}}_{{\text{ij}}}}.\]

Order of matrix \[{\text{A  =  3 }} \times {\text{ 3}}{\text{.}}\]

(ii)The number of elements.

Ans: First, find the order \[{\text{m }} \times {\text{ n}}\] and then number of elements using \[{\text{mn}}{\text{.}}\] General representation of element is \[{{\text{a}}_{{\text{ij}}}}.\]

Number of elements \[{\text{3 }} \times {\text{ 3  =  9}}{\text{.}}\]

(iii)Elements \[{a_{23}}, {a_{31}} and {a_{12}}.\]

Ans: First, find the order \[{\text{m }} \times {\text{ n}}\] and then number of elements using \[{\text{mn}}{\text{.}}\] General representation of element is \[{{\text{a}}_{{\text{ij}}}}.\] \[{{\text{a}}_{23}}{\text{  =  }}{{\text{x}}^2}{\text{ }} - {\text{ y}},{\text{ }}{{\text{a}}_{31}}{\text{  =  0 and }}{{\text{a}}_{12}} = 1.\]


3.  Construct \[{a_{2  \times  2}}\] matrix, where \[(i) {a_{ij}}  =  \frac{{{{(i  - 2j)}^2}}}{2}\]

Ans: Given: Matrix \[{{\text{a}}_{2{\text{ }} \times {\text{ 2}}}}.\]


Substitute the values of \[{\text{i and j for 2 }} \times {\text{ 2 matrix}}{\text{.}}\]

Here,

\[\begin{gathered}  {{\text{a}}_{{\text{ij}}}}{\text{  =  }}\frac{{{{({\text{i }} - {\text{ 2j)}}}^2}}}{2}, \hfill \\  {\text{for,}} \hfill \\  {{\text{a}}_{11}}{\text{  =  }}\frac{{{{(1{\text{ }} - {\text{ 2)}}}^2}}}{2}{\text{  =  }}\frac{1}{2} \hfill \\ \end{gathered} \]

\[\begin{gathered}  {{\text{a}}_{12}}{\text{  =  }}\frac{{{{(1{\text{ }} - {\text{ 2 }} \times {\text{ 2)}}}^2}}}{2}{\text{  =  }}\frac{9}{2} \hfill \\  {{\text{a}}_{21}}{\text{  =  }}\frac{{{{(2{\text{ }} - {\text{ 2 }} \times {\text{ 1)}}}^2}}}{2}{\text{  =  0}} \hfill \\  {{\text{a}}_{22}}{\text{  =  }}\frac{{{{(2{\text{ }} - {\text{ 2 }} \times {\text{ 2)}}}^2}}}{2}{\text{  =  2}} \hfill \\  \therefore {\text{ A  =  }}\left[ {\begin{array}{*{20}{c}}   {\frac{1}{2}}&{\frac{9}{2}} \\   0&2 \end{array}} \right] \hfill \\ \end{gathered} \]

\[(ii) {a_{ij}}  =  | -  2i  +  3j |\]

Ans: Given: Matrix \[{{\text{a}}_{2{\text{ }} \times {\text{ 2}}}}.\]


Substitute the values of \[{\text{i and j for 2 }} \times {\text{ 2 matrix}}{\text{.}}\]


Here,

\[\begin{gathered}  {{\text{a}}_{{\text{ij}}}}{\text{  =  |}} - {\text{ 2i  +  3j |,}} \hfill \\  {\text{for}} \hfill \\  {{\text{a}}_{11}}{\text{  =  | }} - {\text{ 2 }} \times {\text{ 1  +  3 }} \times {\text{ 1 |  =  1}} \hfill \\  {{\text{a}}_{12}}{\text{  =  | }} - {\text{ 2 }} \times {\text{ 1  +  3 }} \times {\text{ 2 |  =  4}} \hfill \\  {{\text{a}}_{21}}{\text{  =  | }} - {\text{ 2 }} \times {\text{ 2  +  3 }} \times {\text{ 1 |  =  1}} \hfill \\  {{\text{a}}_{22}}{\text{  =  | }} - {\text{ 2 }} \times {\text{ 2  +  3 }} \times {\text{ 2 |  =  2}} \hfill \\  \therefore {\text{ A  =  }}\left[ {\begin{array}{*{20}{c}}  1&4 \\   1&2 \end{array}} \right] \hfill \\ \end{gathered} \]


4. Construct a \[3  \times  2\]matrix whose elements are given by ${a_{ij}}  =  {e^{ix}}sinjx.$

Ans: Given: Elements ${{\text{a}}_{{\text{ij}}}}{\text{  =  }}{{\text{e}}^{{\text{ix}}}}\sin {\text{jx}}{\text{.}}$


Form the elements by substituting values of ${\text{i and j}}{\text{.}}$ Then, construct a matrix.


For the values of ${\text{i and j}}{\text{.}}$


\[\begin{gathered}  {\text{i  =  1, j   =  1 gives }}{{\text{a}}_{{\text{11}}}}{\text{  = }}{{\text{e}}^{\text{x}}}\sin {\text{x}} \hfill \\  {\text{i  =  1, j   =  2 gives }}{{\text{a}}_{{\text{12}}}}{\text{  =  }}{{\text{e}}^{\text{x}}}\sin 2{\text{x}} \hfill \\  {\text{i  =  2, j   =  1 gives }}{{\text{a}}_{{\text{21}}}}{\text{  =  }}{{\text{e}}^{{\text{2x}}}}\sin {\text{x}} \hfill \\ \end{gathered} \]


\[\begin{gathered} {\text{i  =  2, j   =  2 gives }}{{\text{a}}_{{\text{22}}}}{\text{  =  }}{{\text{e}}^{{\text{2x}}}}\sin 2{\text{x}} \hfill \\  {\text{i  =  3, j  =  1 gives }}{{\text{a}}_{{\text{31}}}}{\text{  =  }}{{\text{e}}^{{\text{3x}}}}\sin {\text{x}} \hfill \\  {\text{i  =  3, j  = 2 gives }}{{\text{a}}_{{\text{22}}}}{\text{  =  }}{{\text{e}}^{{\text{3x}}}}\sin 2{\text{x}} \hfill \\  \therefore {\text{ A  =  }}\left[ {\begin{array}{*{20}{c}}  {{{\text{e}}^{\text{x}}}\sin {\text{x}}}&{{{\text{e}}^{\text{x}}}\sin 2{\text{x}}} \\   {{{\text{e}}^{{\text{2x}}}}\sin {\text{x}}}&{{{\text{e}}^{{\text{2x}}}}\sin 2{\text{x}}} \\   {{{\text{e}}^{{\text{3x}}}}\sin {\text{x}}}&{{{\text{e}}^{{\text{3x}}}}\sin 2{\text{x}}}  \end{array}} \right] \hfill \\ \end{gathered} \]


5. Find the values of \[a and b, if A  =  B,\] where \[A  =  \left[ {\begin{array}{*{20}{c}}  {a  +  4}&{3b} \\   8&{ -  6} \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}   {2a  +  2}&{{b^2}  +  2} \\  8&{{b^2}  -  5b} \end{array}} \right]\]

Ans: Given: \[{\text{A  =  B}}{\text{.}}\]


If two matrices are equal, then each element of \[{\text{A}}\] is equal to corresponding element of \[{\text{B}}{\text{.}}\]


\[\begin{gathered}  {\text{Since, A  =  B,}} \hfill \\  \left[ {\begin{array}{*{20}{c}}  {{\text{a  +  4}}}&{3{\text{b}}} \\   8&{ - {\text{ 6}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {{\text{2a  +  2}}}&{{{\text{b}}^2}{\text{  +  2}}} \\ 8&{{{\text{b}}^2}{\text{ }} - {\text{ 5b}}} \end{array}} \right] \hfill \\  {{\text{a}}_{11}}{\text{  =  }}{{\text{b}}_{11}} \hfill \\   \Rightarrow {\text{ a  +  4  =  2a  + 2}} \hfill \\   \Rightarrow {\text{ a  =  2}} \hfill \\  {\text{now, }}{{\text{a}}_{12}}{\text{  =  }}{{\text{b}}_{12}} \hfill \\   \Rightarrow {\text{ 3b  =  }}{{\text{b}}^2}{\text{  +  2}} \hfill \\   \Rightarrow {\text{ }}{{\text{b}}^2}{\text{  =  3b }} - {\text{ 2     - (i)}} \hfill \\  {\text{and, }}{{\text{a}}_{22}}{\text{  =  }}{{\text{b}}_{22}} \hfill \\   \Rightarrow {\text{ }} - {\text{ 6  = }}{{\text{b}}^2}{\text{ }} - {\text{ 5b   - (ii)}} \hfill \\  {\text{from (i) and (ii), we get}} \hfill \\   - {\text{ 6  =  3b }} - {\text{ 2 }} - {\text{ 5b}} \hfill \\   \Rightarrow {\text{ b  =  2}} \hfill \\  \therefore {\text{ a  =  2 and b  =  2}}{\text{.}} \hfill \\ \end{gathered} \]


6. If possible, find the sum of matrices \[A and B,\]where\[A  =  \left[ {\begin{array}{*{20}{c}}  {\sqrt 3 }&1 \\   2&3 \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}  x&y&z \\   a&b&c \end{array}} \right].\]

Ans:Given: Matrices \[{\text{A and B}}{\text{.}}\]


Two matrices are added, if they have same order.


Since, matrices \[{\text{A and B}}\]are of different order. The order of matrices \[{\text{A and B}}\]are\[{\text{2 }} \times {\text{ 2 and 2 }} \times {\text{ 3}}\]respectively.


Therefore, the sum of matrices \[{\text{A and B}}\]is not possible.


7. If \[X  =  \left[ {\begin{array}{*{20}{c}}  3&1&{ -  1} \\   5&{ -  2}&{ -  3} \end{array}} \right] and Y  =  \left[ {\begin{array}{*{20}{c}}  2&1&{ -  1} \\   7&2&4 \end{array}} \right],\]then find\[(i) X  +  Y.\]

Ans: Given: \[{\text{X and Y}}\] are matrices.


Here,

\[\begin{gathered}  {\text{X  +  Y  =  }}\left[ {\begin{array}{*{20}{c}}  {3{\text{  + 2}}}&{1{\text{  +  1}}}&{ - {\text{ 1  -  1}}} \\   {5{\text{  +  7}}}&{ - {\text{ 2  +  2}}}&{ - {\text{ 3  +  4}}} \end{array}} \right] \hfill \\  \therefore {\text{ X  +  Y  =  }}\left[ {\begin{array}{*{20}{c}}  5&2&{ - {\text{ 2}}} \\   {12}&0&1 \end{array}} \right] \hfill \\  \end{gathered} \]


\[(ii) 2X  -  3Y.\]

Ans: Given: \[{\text{X and Y}}\] are matrices.

Here,

\[\begin{gathered}  {\text{2X }} - {\text{ 3Y  =  2}}\left[ {\begin{array}{*{20}{c}}  3&1&{ - {\text{ 1}}} \\   5&{ - {\text{ 2}}}&{ - {\text{ 3}}} \end{array}} \right]{\text{ }} - {\text{ 3}}\left[ {\begin{array}{*{20}{c}}  2&1&{ - {\text{ 1}}} \\   7&{\text{2}}&4 \end{array}} \right] \hfill \\  {\text{2X }} - {\text{ 3Y  =  }}\left[ {\begin{array}{*{20}{c}}  {6{\text{ }} - {\text{ 6}}}&{2{\text{ }} - {\text{ 3}}}&{ - {\text{ 2  +  3}}} \\   {10{\text{ }} - {\text{ 21}}}&{ - {\text{ 4 }} - {\text{ 6}}}&{ - {\text{ 6 }} - {\text{  12}}} \end{array}} \right] \hfill \\   \therefore {\text{ 2X }} - {\text{ 3Y  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ 1}}}&1 \\   { - {\text{ 11}}}&{ - {\text{ 10}}}&{ - {\text{ 18}}} \end{array}} \right] \hfill \\ \end{gathered} \]


(iii) A matrix \[{\text{Z}}\] such that \[X  +  Y  +  Z\] is a zero matrix.

Ans: Given: \[{\text{X and Y}}\] are matrices.

Here,

\[\begin{gathered} {\text{X  +  Y  =  }}\left[ {\begin{array}{*{20}{c}}  {3{\text{  + 2}}}&{1{\text{  +  1}}}&{ - {\text{ 1 }} - {\text{ 1}}} \\   {5{\text{  +  7}}}&{ - {\text{ 2  + 2}}}&{ - {\text{ 3  +  4}}} \end{array}} \right] \hfill \\  {\text{X  +  Y  =  }}\left[ {\begin{array}{*{20}{c}}  5&2&{ - {\text{ 2}}} \\   {12}&0&1 \end{array}} \right] \hfill \\  {\text{Since, X  +  Y  +  Z  =  0}} \hfill \\   \Rightarrow {\text{ Z  =  }} - {\text{(X  +  Y)}} \hfill \\  \therefore {\text{ Z  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ }}5}&{ - {\text{ }}2}&{\text{2}} \\   {{\text{ }} - {\text{ }}12}&0&{ - {\text{ }}1} \end{array}} \right] \hfill \\  \end{gathered} \]


8. Find non-zero values of \[{\text{x}}\] satisfying the matrix equation\[x\left[ {\begin{array}{*{20}{c}}  {2x}&2 \\   3&x \end{array}} \right]  +  2\left[ {\begin{array}{*{20}{c}}  8&{5x} \\   4&{4x} \end{array}} \right]  =  2\left[ {\begin{array}{*{20}{c}}  {({x^2}  +  8)}&{24} \\   {10}&{6x} \end{array}} \right].\]

Ans :Given: Matrix equation


Solve the matrix operations. Then, compare the elements of matrices.


Here,

\[\begin{gathered}  {\text{x}}\left[ {\begin{array}{*{20}{c}}  {{\text{2x}}}&2 \\   3&{\text{x}} \end{array}} \right]{\text{  +  2}}\left[ {\begin{array}{*{20}{c}}  8&{5{\text{x}}} \\   4&{{\text{4x}}} \end{array}} \right]{\text{  =  2}}\left[ {\begin{array}{*{20}{c}}  {{\text{(}}{{\text{x}}^2}{\text{  +  8)}}}&{24} \\   {10}&{{\text{6x}}} \end{array}} \right] \hfill \\   \Rightarrow \left[ {\begin{array}{*{20}{c}}  {{\text{2}}{{\text{x}}^2}}&{2{\text{x}}} \\   {3{\text{x}}}&{{{\text{x}}^2}} \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  {16}&{{\text{10x}}} \\   8&{{\text{8x}}}  \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {{\text{2}}{{\text{x}}^2}{\text{  +  16}}}&{48} \\   {20}&{{\text{12x}}} \end{array}} \right] \hfill \\   \Rightarrow \left[ {\begin{array}{*{20}{c}}  {{\text{2}}{{\text{x}}^2}{\text{  +  16}}}&{2{\text{x  +  10x}}} \\   {3{\text{x  +  8}}}&{{{\text{x}}^2}{\text{  +  8x}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {{\text{2}}{{\text{x}}^2}{\text{  + 16}}}&{48} \\   {20}&{{\text{12x}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ 2x  +  10x  =  48}} \hfill \\   \Rightarrow {\text{ x  =  }}\frac{{48}}{{12}} \hfill \\  \therefore {\text{ x  =  4}} \hfill \\ \end{gathered} \]


9. If \[A  =  \left[ {\begin{array}{*{20}{c}}  0&1 \\   1&1 \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}  0&{ -  1} \\   1&0 \end{array}} \right],\] then show that 

Ans: Given: Matrices \[{\text{A and B}}{\text{.}}\]


Substitute matrices in equation. Then use matrix algebra.


Here,

\[\begin{gathered}  {\text{A  +  B  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   2&1  \end{array}} \right]{\text{ }} \hfill \\ {\text{A }} - {\text{ B  =  }}\left[ {\begin{array}{*{20}{c}}  0&2 \\   0&1 \end{array}} \right] \hfill \\  \therefore {\text{ (A  + B}}{{\text{)}}_{2{\text{ }} \times {\text{ 2}}}}{\text{.(A }} - {\text{ B}}{{\text{)}}_{2{\text{ }} \times {\text{ 2}}}}{\text{  =   }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&5 \end{array}} \right]{\text{     }}.....{\text{(i)}} \hfill \\  {\text{Now, }}{{\text{A}}^2}{\text{  =  A}}{\text{.A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&1 \\   1&1 \end{array}} \right].\left[ {\begin{array}{*{20}{c}}  0&1 \\   0&1 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {0{\text{  +  1}}}&{0{\text{  +  1}}} \\   {0{\text{  + 1}}}&{1{\text{  +  1}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {\text{1}}&{\text{1}} \\ {\text{1}}&2 \end{array}} \right] \hfill \\  {\text{Now, }}{{\text{B}}^2}{\text{  = B}}{\text{.B}} \hfill \\   \Rightarrow {\text{ }}{{\text{B}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ 1}}} \\   {\text{1}}&0 \end{array}} \right].\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ 1}}} \\   {\text{1}}&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{B}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&0 \\   0&{ - {\text{ 1}}} \end{array}} \right] \hfill \\  \therefore {\text{ }}{{\text{A}}^2}{\text{  -  }}{{\text{B}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  2&1 \\   {\text{1}}&3 \end{array}} \right]{\text{    }}......{\text{(ii)}} \hfill \\  {\text{from equation (i) and (ii), we get}} \hfill \\  {\text{(A  +  B)(A }} - {\text{ B) }} \ne {\text{ }}{{\text{A}}^2}{\text{ }} - {\text{ }}{{\text{B}}^2} \hfill \\ \end{gathered} \]


10. Find the value of \[x, if \left[ {\begin{array}{*{20}{c}}  1&x&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1&3&2 \\  2&5&1 \\   {15}&3&2 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1 \\   2 \\   x \end{array}} \right]  =  0.\]

Ans: Given: Matrix equation.


Product of matrix is possible if number of rows of matrix is equal to number of columns of another matrix.


\[\begin{gathered}  {\left[ {\begin{array}{*{20}{c}}  1&{\text{x}}&1 \end{array}} \right]_{1{\text{ }} \times {\text{ 3}}}}{\left[ {\begin{array}{*{20}{c}}  1&3&2 \\   2&5&1 \\   {15}&3&2 \end{array}} \right]_{3{\text{ }} \times {\text{ 3}}}}{\left[ {\begin{array}{*{20}{c}}  1 \\   2 \\   {\text{x}} \end{array}} \right]_{3{\text{ }} \times {\text{ 1}}}}{\text{  =  0}}{\text{.}} \hfill \\   \Rightarrow {\text{ }}{\left[ {\begin{array}{*{20}{c}}  {1{\text{  +  2x  +  15}}}&{{\text{3  +  5x  +  3}}}&{2{\text{  +  x  +  2}}} \end{array}} \right]_{1{\text{ }} \times {\text{ 3}}}}{\left[ {\begin{array}{*{20}{c}}  1 \\   2 \\   {\text{x}} \end{array}} \right]_{3{\text{ }} \times {\text{ 1}}}}{\text{  =  0}} \hfill \\ \Rightarrow {\text{ }}{\left[ {\begin{array}{*{20}{c}}  {16{\text{  +  2x}}}&{{\text{5x  + 6}}}&{2{\text{  +  x  +  2}}} \end{array}} \right]_{1{\text{ }} \times {\text{ 3}}}}{\left[ {\begin{array}{*{20}{c}}  1 \\   2 \\   {\text{x}} \end{array}} \right]_{3{\text{ }} \times {\text{ 1}}}}{\text{  =  0}} \hfill \\   \Rightarrow {\text{ }}{\left[ {16{\text{  +  2x  + 2}}{\text{.(5x  +  6)  +  (x  +  4)}}{\text{.x}}} \right]_{1{\text{ }} \times {\text{ 1}}}}{\text{  =  0}} \hfill \\   \Rightarrow {\text{ }}{\left[ {{{\text{x}}^2}{\text{  +  16x  +  28}}} \right]_{1{\text{ }} \times {\text{ 1}}}}{\text{  =  0}} \hfill \\   \Rightarrow {\text{ }}{{\text{x}}^2}{\text{  +  16x  +  28  =  0}} \hfill \\   \Rightarrow {\text{ (x  +  2)(x  +  14)  = 0}} \hfill \\   \Rightarrow {\text{ x  =  }} - {\text{ 2, }} - {\text{ 14}} \hfill \\ \end{gathered}\]


11. Show that \[A  =  \left[ {\begin{array}{*{20}{c}} 5&3 \\   { -  1}&{ -  2} \end{array}} \right]\] satisfies the equation \[{A^2}  -  3A  -  7I  =  0\] and hence find the value of \[{A^{ -  1}}.\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


First, find \[{{\text{A}}^2}.\] Then, substitute the values in the equation. 


Here,

\[\begin{gathered}  {{\text{A}}^2}{\text{  =  A}}{\text{.A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  5&3 \\   { - {\text{ 1}}}&{ - {\text{ 2}}} \end{array}} \right].\left[ {\begin{array}{*{20}{c}}  5&3 \\   { - {\text{ 1}}}&{ - {\text{ 2}}} \end{array}} \right] \hfill \\ \end{gathered} \]


\[\begin{gathered}   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {22}&9 \\   { - {\text{ 3}}}&1 \end{array}} \right] \hfill \\   {\text{Now, }}{{\text{A}}^2}{\text{ }} - {\text{ 3A }} - {\text{ 7I,}} \hfill \\  {\text{ =  }}\left[ {\begin{array}{*{20}{c}}  {22}&9 \\   { - {\text{ 3}}}&1 \end{array}} \right]{\text{ }} - {\text{ 3}}\left[ {\begin{array}{*{20}{c}}  5&3 \\   { - {\text{ 1}}}&{ - {\text{ 2}}}  \end{array}} \right]{\text{ }} - {\text{ 7}}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1  \end{array}} \right] \hfill \\  {\text{ =  }}\left[ {\begin{array}{*{20}{c}}  {22{\text{ }} - {\text{ 15 }} - {\text{ 7}}}&{9{\text{ }} - {\text{ 9 }} - {\text{ 0}}} \\   { - {\text{ 3  +  3 }} - {\text{ 0}}}&{1{\text{  +  6 }} - {\text{ 7}}} \end{array}} \right]{\text{ }} \hfill \\  {\text{ =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&0 \end{array}} \right]{\text{ }} \hfill \\  {\text{Here, }}{{\text{A}}^2}{\text{ }} - {\text{ 3A }} - {\text{ 7I  =  0}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^{ - {\text{ 1}}}}[{{\text{A}}^2}{\text{ }} - {\text{ 3A }} - {\text{ 7I]  =  }}{{\text{A}}^{ - {\text{ 1}}}}(0) \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^{ - {\text{ 1}}}}{\text{A}}{\text{.A }} - {\text{ 3}}{{\text{A}}^{ - {\text{ 1}}}}{\text{A }} - {\text{ 7}}{{\text{A}}^{ - {\text{ 1}}}}{\text{I  =  0}} \hfill \\   \Rightarrow {\text{ IA }} - {\text{ 3I }} - {\text{ 7}}{{\text{A}}^{ - {\text{ 1}}}}{\text{  =  0}} \hfill \\   \Rightarrow {\text{ }} - {\text{ 7}}{{\text{A}}^{ - {\text{ 1}}}}{\text{  =  }} - {\text{ A  +  3I}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^{ - {\text{ 1}}}}{\text{  =  }}\frac{{ - {\text{ 1}}}}{7}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 2}}}&{ - {\text{ 3}}} \\   1&5 \end{array}} \right] \hfill \\ \end{gathered} \]


12. Find the matrix \[{\text{A}}\] satisfying the matrix equation\[\left[ {\begin{array}{*{20}{c}}  2&1 \\   3&2 \end{array}} \right]A\left[ {\begin{array}{*{20}{c}} { -  3}&2 \\   5&{ -  3} \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right].\]

Ans: Given: Matrix equation.


Product of matrix is possible if number of rows of matrix is equal to number of columns of another matrix.


\[\begin{gathered}  {\left[ {\begin{array}{*{20}{c}}  2&1 \\   3&2 \end{array}} \right]_{2{\text{ }} \times {\text{ 2}}}}{\text{A}}{\left[ {\begin{array}{*{20}{c}}  { - {\text{ 3}}}&2 \\   5&{ - {\text{ 3}}} \end{array}} \right]_{2{\text{ }} \times {\text{ 2}}}}{\text{  =  }}{\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right]_{2{\text{ }} \times {\text{ 2}}}} \hfill \\ {\text{Let, A  =  }}{\left[ {\begin{array}{*{20}{c}}  {\text{a}}&{\text{b}} \\   {\text{c}}&{\text{d}} \end{array}} \right]_{2{\text{ }} \times {\text{ 2}}}} \hfill \\  \end{gathered} \]\[\begin{gathered}   \Rightarrow {\text{ }}{\left[ {\begin{array}{*{20}{c}}   2&1 \\   3&2 \end{array}} \right]_{2{\text{ }} \times {\text{ 2}}}}{\left[ {\begin{array}{*{20}{c}}  {\text{a}}&{\text{b}} \\   {\text{c}}&{\text{d}} \end{array}} \right]_{2{\text{ }} \times {\text{ 2}}}}{\left[ {\begin{array}{*{20}{c}}  { - {\text{ 3}}}&2 \\   5&{ - {\text{ 3}}} \end{array}} \right]_{2{\text{ }} \times {\text{ 2}}}}{\text{  =  }}{\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right]_{2{\text{ }} \times {\text{ 2}}}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  {2{\text{a  +  c}}}&{2{\text{b +  d}}} \\   {3{\text{a  +  2c}}}&{3{\text{b  +  }}2{\text{d}}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  { - {\text{ 3}}}&2 \\   5&{ - {\text{ 3}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 6a }} - {\text{ 3c  +  10b  + 5d}}}&{{\text{4a  +  2c }} - {\text{ 6b }} - {\text{ 3d}}} \\   { - {\text{ 9a }} - {\text{ 6c  +  15b +  10d}}}&{6{\text{a  +  4c }} - {\text{ 9b }} - {\text{ 6d}}} \end{array}} \right]{\text{  = }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }} - {\text{ 6a }} - {\text{ 3c  +  10b  +  5d  =  1    }}......{\text{(i)}} \hfill \\   \Rightarrow {\text{ 4a  +  2c }} - {\text{ 6b }} - {\text{ 3d  =  0    }}.......{\text{(ii)}} \hfill \\   \Rightarrow {\text{ }} - {\text{ 9a }} - {\text{ 6c  +  15b  +  10d  =  0    }}.......{\text{(iii)}} \hfill \\   \Rightarrow {\text{ 6a  +  4c }} - {\text{ 9b }} - {\text{ 6d  =  1    }}......{\text{(iv)}} \hfill \\  {\text{add equation (i) and (iv),}} \hfill \\  {\text{c  +  b }} - {\text{ d  =  2}} \hfill \\   \Rightarrow {\text{ d  =  c  +  b }} - {\text{ 2        }}......{\text{(v)}} \hfill \\  {\text{add (ii) and (iii), we get}} \hfill \\   - {\text{ 5a }} - {\text{ 4c  +  9b  +  7d  =  0}} \hfill \\  {\text{add (vi) and (iv),}} \hfill \\   \Rightarrow {\text{ d  =  1 }} - {\text{ a}} \hfill \\  {\text{from equation (v) and (vii), we get}} \hfill \\   \Rightarrow {\text{ a  =  3 }} - {\text{ b }} - {\text{ c     }}.....{\text{(viii)}} \hfill \\  {\text{use a and d in equation (iii), we get}} \hfill \\   - {\text{ 9(3 }} - {\text{ b }} - {\text{ c) }} - {\text{ 6c  +  15b  +  10(}} - {\text{ 2  +  b  +  c)  =  0}} \hfill \\   \Rightarrow {\text{ }} - {\text{ 27  +  9b  +  9c }} - {\text{ 6c  +  15b }} - {\text{ 20  + 10b  +  10c  =  0}} \hfill \\   \Rightarrow {\text{ 34b  +  13c  =  47           }}.....{\text{(ix)}} \hfill \\  {\text{use a and d in eq(ii), we get  }} \hfill \\  {\text{4(3 }} - {\text{ b }} - {\text{ c)  +  2c }} - {\text{ 6b }} - {\text{ 3(b  +  c }} - {\text{ 2)  =  0}} \hfill \\   \Rightarrow {\text{ 12 }} - {\text{ 4b }} - {\text{ 4c  +  2c }} - {\text{ 6b }} - {\text{ 3b }} - {\text{ 3c  +  6  =  0}} \hfill \\   \Rightarrow {\text{ }} - {\text{ 13b }} - {\text{ 5c  =  }} - {\text{ 18      }}......{\text{(x)}} \hfill \\  {\text{solving equation (ix) and (x), we get}} \hfill \\  {\text{ b  =  1 and c  =  1}} \hfill \\  {\text{and a  =  3 }} - {\text{ 1 }} - {\text{ 1  =  1, d  =  1 }} - {\text{ 1  =  0}} \hfill \\  \therefore {\text{ A  =  }}\left[ {\begin{array}{*{20}{c}}  1&1 \\   1&0 \end{array}} \right] \hfill \\ \end{gathered} \]


13. Find \[A, if \left[ {\begin{array}{*{20}{c}}  4 \\   1 \\   3 \end{array}} \right]A  = \left[ {\begin{array}{*{20}{c}}  { -  4}&8&4 \\   { -  1}&2&1 \\   { -  3}&6&3 \end{array}} \right].\]

Ans : Given: Matrix equation.


First, find the order of matrix using matrix multiplication.


\[\begin{gathered}  {\text{Let A  =  }}{\left[ {\begin{array}{*{20}{c}}  {\text{x}}&{\text{y}}&{\text{z}} \end{array}} \right]_{1{\text{ }} \times {\text{ 3}}}} \hfill \\  {\left[ {\begin{array}{*{20}{c}}  4 \\   1 \\   3 \end{array}} \right]_{3{\text{ }} \times {\text{1}}}}{\left[ {\begin{array}{*{20}{c}}  {\text{x}}&{\text{y}}&{\text{z}} \end{array}} \right]_{1{\text{ }} \times {\text{ 3}}}}{\text{  =  }}{\left[ {\begin{array}{*{20}{c}}  { - {\text{ 4}}}&8&4 \\   { - {\text{ 1}}}&2&1 \\   { - {\text{ 3}}}&6&3 \end{array}} \right]_{3{\text{ }} \times {\text{ 3}}}} \hfill \\\Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}{{\text{4x}}}&{4{\text{y}}}&{4{\text{z}}} \\ {\text{x}}&{\text{y}}&{\text{z}} \\   {{\text{3x}}}&{3{\text{y}}}&{3z} \end{array}}m \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 4}}}&8&4 \\   { - {\text{ 1}}}&2&1 \\   { - {\text{ 3}}}&6&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ 4x  =  }} - {\text{ 4, x  =  }} - {\text{ 1}} \hfill \\   \Rightarrow {\text{ 4y  =  8, y  =  2}} \hfill \\   \Rightarrow {\text{ 4z  =  4, z  =  1}} \hfill \\  \therefore {\text{ A  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&2&1 \end{array}} \right] \hfill \\ \end{gathered} \]


14. If \[A  =  \left[ {\begin{array}{*{20}{c}}  3&{ -  4} \\   1&1 \\   2&0 \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}  2&1&2 \\   1&2&4 \end{array}} \right],\] then verify 

Ans: Given: Matrices \[{\text{A and B}}{\text{.}}\]


Substitute the matrix \[{\text{A and B}}\] in the equation. Use matrix multiplication.


Here,

\[\begin{gathered}  {\text{BA  =  }}{\left[ {\begin{array}{*{20}{c}}  2&1&2 \\   1&2&4  \end{array}} \right]_{2{\text{ }} \times {\text{ 3}}}}{\left[ {\begin{array}{*{20}{c}}  3&{ - {\text{ 4}}} \\   1&1 \\   2&0 \end{array}} \right]_{3{\text{ }} \times {\text{ 2}}}} \hfill \\  {\text{BA  =  }}\left[ {\begin{array}{*{20}{c}}  {11}&{ - {\text{ 7}}} \\   {13}&{ - {\text{ 2}}}  \end{array}} \right] \hfill \\  {\text{now, (BA)}}{\text{.(BA)  =  }}\left[ {\begin{array}{*{20}{c}}  {11}&{ - {\text{ 7}}} \\   {13}&{ - {\text{ 2}}}  \end{array}} \right].\left[ {\begin{array}{*{20}{c}}  {11}&{ - {\text{ 7}}} \\   {13}&{ - {\text{ 2}}}  \end{array}} \right] \hfill \\   \Rightarrow {\text{ (BA}}{{\text{)}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {30}&{ - {\text{ 63}}} \\   {117}&{ - {\text{ 87}}} \end{array}} \right] \hfill \\ \end{gathered} \]As, \[{{\text{B}}^2}\] is not possible.


Therefore, \[{{\text{(BA)}}^2}{\text{ }} \ne {\text{ }}{{\text{B}}^2}{{\text{A}}^2}.\]


16. Show by an example that for 

Ans : Given: \[{\text{A }} \ne {\text{ 0, B }} \ne {\text{ 0}}{\text{.}}\]


Consider matrix \[{\text{A and B}}\] such that \[{\text{A }} \ne {\text{ 0, B }} \ne {\text{ 0}}{\text{.}}\]


Let us consider that,


\[\begin{gathered}  {\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ 4}}} \\   0&2 \end{array}} \right]{\text{ }} \ne {\text{ }}0{\text{ and B  =  }}\left[ {\begin{array}{*{20}{c}}  3&5 \\   0&0 \end{array}} \right]{\text{ }} \ne {\text{ }}0 \hfill \\  \therefore {\text{ AB  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&0 \end{array}} \right]{\text{  =  0}}{\text{.}} \hfill \\ \end{gathered} \]


17. Given, \[A  =  \left[ {\begin{array}{*{20}{c}}  2&4&0 \\   3&9&6 \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}  1&4 \\   2&8 \\   1&3 \end{array}} \right]. Is (AB)'  =  B'A' ?\]

Ans: Given: Matrix \[{\text{A and B}}{\text{.}}\]


Substitute the matrix \[{\text{A and B}}\] in the equation. Use matrix multiplication.


\[\begin{gathered}  {\text{AB  =  }}\left[ {\begin{array}{*{20}{c}}  2&4&0 \\   3&9&6 \end{array}} \right].\left[ {\begin{array}{*{20}{c}}  1&4 \\   2&8 \\   1&3 \end{array}} \right] \hfill \\  {\text{AB  =  }}\left[ {\begin{array}{*{20}{c}}  {10}&{40} \\   {27}&{102}  \end{array}} \right] \hfill \\  ({\text{AB)'  =  }}\left[ {\begin{array}{*{20}{c}}  {10}&{27} \\   {40}&{102} \end{array}} \right]{\text{     }}.....{\text{(i)}} \hfill \\  {\text{now, B'  =  }}\left[ {\begin{array}{*{20}{c}}  1&2&1 \\   4&8&3 \end{array}} \right]{\text{ and A'  =  }}\left[ {\begin{array}{*{20}{c}}  2&3 \\   4&9 \\   0&6 \end{array}} \right] \hfill \\  {\text{B'A'  =  }}\left[ {\begin{array}{*{20}{c}}  {10}&{27} \\   {40}&{102} \end{array}} \right]{\text{   }}.....{\text{(ii)}} \hfill \\  {\text{from equation (i) and (ii), we get}} \hfill \\  \therefore {\text{ (AB)'  =  B'A'}} \hfill \\ \end{gathered} \]


18. Solve for \[x and y, x\left[ {\begin{array}{*{20}{c}}  2 \\   1 \end{array}} \right]  + y\left[ {\begin{array}{*{20}{c}}  3 \\   5 \end{array}} \right]  +  \left[ {\begin{array}{*{20}{c}}  { -  8} \\   { -  11} \end{array}} \right]  =  0.\]

Ans: Given: Matrix equation.


Use matrix algebra to find \[{\text{x and y}}{\text{.}}\]


\[\begin{gathered}  {\text{Here,}} \hfill \\  {\text{x}}\left[ {\begin{array}{*{20}{c}}  2 \\   1 \end{array}} \right]{\text{  +  y}}\left[ {\begin{array}{*{20}{c}}  3 \\   5 \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 8}}} \\   { - {\text{ 11}}} \end{array}} \right]{\text{  =  0}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  {2{\text{x}}} \\   {\text{x}} \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  {3{\text{y}}} \\   {5{\text{y}}} \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 8}}} \\   { - {\text{ 11}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0 \\   0 \end{array}} \right] \hfill \\ \end{gathered} \]\[ \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  {2{\text{x  +  3y }} - {\text{ 8}}} \\ {{\text{x  +  5y }} - {\text{ 11}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0 \\   0 \end{array}} \right]\]\[\begin{gathered}   \Rightarrow {\text{ 2x  +  3y  =  8  }}.....{\text{(i)}} \hfill \\   \Rightarrow {\text{ x  +  5y  =  11  }}.....{\text{(ii)}} \hfill \\  {\text{from equation (i) and (ii), we get}} \hfill \\  {\text{x  =  1 and y  =  2}}{\text{.}} \hfill \\ \end{gathered} \]


19. If \[X and Y are 2  \times  2\] matrices, then solve the following matrix equations for \[X and Y,\]\[2X  +  3Y  =  \left[ {\begin{array}{*{20}{c}}  2&3 \\   4&0 \end{array}} \right], 3X  +  2Y  =  \left[ {\begin{array}{*{20}{c}}  { -  2}&2 \\   1&{ -  5} \end{array}} \right].\]

Ans: Given: \[{\text{X and Y are 2 }} \times {\text{ 2}}\] matrices.


Solve the equation using matrix algebra.


Here, 


\[\begin{gathered}  {\text{2X  +  3Y  =  }}\left[ {\begin{array}{*{20}{c}}  2&3 \\   4&0  \end{array}} \right]{\text{      }}.....{\text{(i)  }} \hfill \\  {\text{3X  +  2Y  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ }}2}&2 \\   1&{ - {\text{ 5}}} \end{array}} \right]{\text{  }}.....{\text{(ii)}} \hfill \\  {\text{Subtract equation (i) from (ii), we get}} \hfill \\  {\text{(3X  +  2Y) }} - {\text{ (2X  +  3Y)  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 2 }} - {\text{ 2}}}&{2{\text{ }} - {\text{ 3}}} \\   {1{\text{ }} - {\text{ 4}}}&{ - {\text{ 5 }} - {\text{ 0}}} \end{array}} \right] \hfill \\ \end{gathered} \]\[\begin{gathered}  {\text{X }} - {\text{ Y  = }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 4}}}&{ - {\text{ 1}}} \\   { - {\text{ 3}}}&{ - {\text{ 5}}} \end{array}} \right]{\text{       }}.....{\text{(iii)}} \hfill \\  {\text{now add (i) and (ii),}} \hfill \\  {\text{ 5X  +  5Y  =  }}\left[ {\begin{array}{*{20}{c}}  0&5 \\   5&{ - {\text{ 5}}} \end{array}} \right] \hfill \\ \end{gathered} \]\[ \Rightarrow {\text{ X  +  Y  =  }}\left[ {\begin{array}{*{20}{c}}  0&1 \\   1&{ - {\text{ 1}}}  \end{array}} \right]{\text{  }}.....{\text{(iv)}}\]\[{\text{now add (iii) and (iv),}}\]\[\begin{gathered}  {\text{(X }} - {\text{ Y)  +  (X  +  Y)  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 4}}}&0 \\   2&{ - {\text{ 6}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ X  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 2}}}&0 \\   { - {\text{ 1}}}&{ - {\text{ 3}}} \end{array}} \right] \hfill \\ {\text{substituting in equation (iv), we get}} \hfill \\  \left[ {\begin{array}{*{20}{c}}  { - {\text{ 2}}}&0 \\   { - {\text{ 1}}}&{ - {\text{ 3}}} \end{array}} \right]{\text{  +  Y  =  }}\left[ {\begin{array}{*{20}{c}}  0&1 \\   {\text{1}}&{ - {\text{ 1}}} \end{array}} \right] \hfill \\  \Rightarrow {\text{ Y  =  }}\left[ {\begin{array}{*{20}{c}}  {\text{2}}&1 \\   2&2 \end{array}} \right] \hfill \\  \therefore {\text{ X  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 2}}}&0 \\   { - {\text{ 1}}}&{ - {\text{ 3}}} \end{array}} \right]{\text{ and Y  =  }}\left[ {\begin{array}{*{20}{c}}  {\text{2}}&1 \\   2&2 \end{array}} \right]. \hfill \\ \end{gathered} \]


20. If \[A  =  \left[ {\begin{array}{*{20}{c}} 3&5 \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}  7&3 \end{array}} \right],\] then find a non-zero matrix \[C\] such that \[AC  =  BC.\]

Ans: Given: \[{\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  3&5 \end{array}} \right]{\text{ and B  =  }}\left[ {\begin{array}{*{20}{c}}  7&3 \end{array}} \right].\]


Consider a matrix with defined order. Then, substitute in the given condition.


Here, 


\[{\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  3&5 \end{array}} \right]{\text{ and B  =  }}\left[ {\begin{array}{*{20}{c}}  7&3 \end{array}} \right].\]


Let, 


\[\begin{gathered}  {\text{C  =  }}{\left[ {\begin{array}{*{20}{c}}  {\text{x}} \\   {\text{y}}  \end{array}} \right]_{2{\text{ }} \times {\text{ 1}}}} \hfill \\  {\text{AC  =  }}\left[ {\begin{array}{*{20}{c}}  3&5 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\text{x}} \\   {\text{y}} \end{array}} \right] \hfill \\  \therefore {\text{ AC  =  }}\left[ {3{\text{x  +  5y}}} \right]{\text{ }} \hfill \\ \end{gathered} \]\[{\text{now, BC  =  }}\left[ {\begin{array}{*{20}{c}}  7&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\text{x}} \\   {\text{y}} \end{array}} \right]\]\[\begin{gathered}  \therefore {\text{ BC  =  }}\left[ {{\text{7x  +  3y}}} \right] \hfill \\  {\text{Since, AC  =  BC,}} \hfill \\   \Rightarrow {\text{ }}\left[ {3{\text{x  +  5y}}} \right]{\text{  =  }}\left[ {{\text{7x  +  3y}}} \right] \hfill \\   \Rightarrow {\text{ 3x  +  5y  =  7x  +  3y}} \hfill \\   \Rightarrow {\text{ x  = }}\frac{1}{2}{\text{y}} \hfill \\   \Rightarrow {\text{ y  =  2x}} \hfill \\  \therefore {\text{ C  = }}\left[ {\begin{array}{*{20}{c}}  {\text{x}} \\   {2{\text{x}}} \end{array}} \right] \hfill \\ \end{gathered} \]


Considering the order \[{\text{2 }} \times {\text{ 1, 2 }} \times {\text{ 2, 2 }} \times {\text{ 3,}}....{\text{ of C}}\]. 


We get,\[\begin{gathered}  {\text{C  =  }}\left[ {\begin{array}{*{20}{c}}  {\text{x}} \\  {2{\text{x}}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\text{x}}&{\text{x}} \\   {2{\text{x}}}&{2{\text{x}}} \end{array}} \right].. \hfill \\  {\text{In general,}} \hfill \\  {\text{C  =  }}\left[ {\begin{array}{*{20}{c}}  {\text{k}} \\   {2{\text{k}}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\text{k}}&{\text{k}} \\   {2{\text{k}}}&{2{\text{k}}} \end{array}} \right].. \hfill \\  {\text{where, k is any real number}}{\text{.}} \hfill \\ \end{gathered} \]


21. Give an example of matrices \[A, B and C,\] such that \[AB  =  AC, where A\] is non-zero matrix 

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Consider matrices \[{\text{A, B and C,}}\] such that \[{\text{AB  =  AC and B }} \ne {\text{ C}}{\text{.}}\]


Let us consider the matrices, \[{\text{A, B and C}}{\text{.}}\]


\[\begin{gathered} {\text{A = }}\left[ {\begin{array}{*{20}{c}} 1&0 \\ 0&0 \end{array}} \right],{\text{ B = }}\left[ {\begin{array}{*{20}{c}} 2&3 \\ 4&0 \end{array}} \right]{\text{ and C = }}\left[ {\begin{array}{*{20}{c}} 2&3 \\ 4&3 \end{array}} \right] \hfill \\ \Rightarrow {\text{ AB}}{\text{ = }}\left[ {\begin{array}{*{20}{c}} 1&0 \\ 0&0 \end{array}} \right]\left[ {\begin{array}{*{20}{c}} 2&3 \\ 4&0 \end{array}} \right] \hfill \\ \end{gathered} \]


\[\begin{gathered}   \Rightarrow {\text{ AB}}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  2&3 \\   0&0 \end{array}} \right] \hfill \\  {\text{now, }} \hfill \\  {\text{AC  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&0 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&3 \\   4&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ AC =  }}\left[ {\begin{array}{*{20}{c}}  2&3 \\   0&0 \end{array}} \right] \hfill \\  \therefore {\text{ AB  =  AC}}{\text{.}} \hfill \\ \end{gathered} \]


22. If \[A  =  \left[ {\begin{array}{*{20}{c}}  1&2 \\   { -  2}&1 \end{array}} \right], B  = \left[ {\begin{array}{*{20}{c}}  2&3 \\   3&{ -  4} \end{array}} \right] and C  =  \left[ {\begin{array}{*{20}{c}}  1&0 \\   { -  1}&0 \end{array}} \right]\], verify \[(i) (AB)C  =  A(BC).\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Consider left and right hand side of equation. Then, substitute the matrices and verify.

Here,

\[\begin{gathered}  {\text{AB  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ 2}}}&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&3 \\   3&{ - {\text{ 4}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ AB  =  }}\left[ {\begin{array}{*{20}{c}}  8&{ - {\text{5}}} \\   { - {\text{ 1}}}&{ - {\text{ 10}}} \end{array}} \right] \hfill \\  ({\text{AB)C  =  }}\left[ {\begin{array}{*{20}{c}}  8&{ - {\text{ 5}}} \\   { - {\text{ 1}}}&{ - {\text{ 10}}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1&0 \\   { - {\text{ 1}}}&{\text{0}} \end{array}} \right] \hfill \\ \end{gathered} \]


\[\begin{gathered}  \therefore {\text{ (AB)C  =  }}\left[ {\begin{array}{*{20}{c}}  {13}&0 \\   9&{\text{0}} \end{array}} \right]{\text{       }}.....{\text{(i)}} \hfill \\  {\text{Now,}} \hfill \\  ({\text{BC)  =  }}\left[ {\begin{array}{*{20}{c}}  2&3 \\   3&{ - {\text{ 4}}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1&0 \\   { - {\text{ 1}}}&{\text{0}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ BC  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&0 \\   7&0 \end{array}} \right] \hfill \\  {\text{A(BC)  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ 2}}}&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&0 \\   7&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ A(BC)  =  }}\left[ {\begin{array}{*{20}{c}}  {13}&0 \\   9&{\text{0}} \end{array}} \right] \hfill \\  \end{gathered} \]


\[(ii) A(B  +  C)  =  AB  +  AC.\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Consider left and right hand side of equation. Then, substitute the matrices and verify.

Here,

\[\begin{gathered}  {\text{(B  +  C)  =  }}\left[ {\begin{array}{*{20}{c}}  2&3 \\   3&{ - {\text{ 4}}} \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   { - {\text{ 1}}}&{\text{0}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ (B  +  C)  =  }}\left[ {\begin{array}{*{20}{c}}  3&3 \\   2&{ - {\text{ 4}}} \end{array}} \right] \hfill \\  {\text{A}}{\text{.(B  +  C)  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ }}2}&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  3&3 \\   2&{ - {\text{ 4}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ A}}{\text{.(B  +  C)  =  }}\left[ {\begin{array}{*{20}{c}}  7&{ - {\text{ 5}}} \\   { - {\text{ 4}}}&{ - {\text{ }}10} \end{array}} \right] \hfill \\  {\text{now,}} \hfill \\ \end{gathered} \]\[\begin{gathered}  {\text{AB  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ }}2}&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&3 \\   3&{ - {\text{ 4}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ AB  =  }}\left[ {\begin{array}{*{20}{c}}  8&{ - {\text{ 5}}} \\   { - {\text{ 1}}}&{ - {\text{ 10}}} \end{array}} \right] \hfill \\ \end{gathered} \]\[\begin{gathered}  {\text{AC  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ }}2}&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1&0 \\   { - {\text{ 1}}}&{\text{0}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ AC  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&0 \\   { - {\text{ 3}}}&{\text{0}} \end{array}} \right] \hfill \\ \end{gathered} \]


\[\begin{gathered}  {\text{AB  +  AC  =  }}\left[ {\begin{array}{*{20}{c}}  8&{ - {\text{ 5}}} \\   { - {\text{ 1}}}&{ - {\text{ 10}}} \end{array}} \right]{\text{  +  }}\left[{\begin{array}{*{20}{c}}  { - {\text{ 1}}}&0 \\   { - {\text{ 3}}}&{\text{0}} \end{array}} \right] \hfill \\  \therefore {\text{ AB  +  AC  =  }}\left[ {\begin{array}{*{20}{c}}  7&{ - {\text{ 5}}} \\   { - {\text{ 4}}}&{ - {\text{ 10}}} \end{array}} \right]{\text{     }}.....{\text{(ii)}} \hfill \\  {\text{from (i) and (ii),}} \hfill \\  {\text{A}}{\text{.(B  +  C)  =  AB  +  AC}} \hfill \\ \end{gathered} \]


23. If \[P  =  \left[ {\begin{array}{*{20}{c}}  x&0&0 \\   0&y&0 \\   0&0&z \end{array}} \right] and Q  =  \left[ {\begin{array}{*{20}{c}}  a&0&0 \\   0&b&0 \\   0&0&c  \end{array}} \right],\] then prove that \[PQ  =  \left[ {\begin{array}{*{20}{c}}  {xa}&0&0 \\   0&{yb}&0 \\   0&0&{zc} \end{array}} \right]  =  QP.\]

Ans: Given: Matrices \[{\text{P and Q}}{\text{.}}\]


Use matrix multiplication. Then, compare \[{\text{P and Q}}{\text{.}}\]


\[\begin{gathered}  {\text{PQ  =  }}\left[ {\begin{array}{*{20}{c}}  {\text{x}}&0&0 \\   0&{\text{y}}&0 \\   0&0&{\text{z}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\text{a}}&0&0 \\   0&{\text{b}}&0 \\   0&0&{\text{c}} \end{array}} \right] \hfill \\ \Rightarrow {\text{ PQ  =  }}\left[ {\begin{array}{*{20}{c}}  {{\text{xa}}}&0&0 \\ 0&{{\text{yb}}}&0 \\   0&0&{{\text{zc}}} \end{array}} \right]{\text{    }}.....{\text{(i)}} \hfill \\  {\text{QP  =  }}\left[ {\begin{array}{*{20}{c}}  {\text{a}}&0&0 \\   0&{\text{b}}&0 \\ 0&0&{\text{c}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\text{x}}&0&0 \\ 0&{\text{y}}&0 \\   0&0&{\text{z}} \end{array}} \right] \hfill \\ \end{gathered} \]\[ \Rightarrow {\text{ QP  =  }}\left[ {\begin{array}{*{20}{c}}  {{\text{xa}}}&0&0 \\ 0&{{\text{yb}}}&0 \\  0&0&{{\text{zc}}} \end{array}} \right]{\text{       }}.....{\text{(ii)}}\] \[\begin{gathered}  {\text{from equation (i) and (ii),}} \hfill \\  {\text{PQ}}{\text{  =  QP}}{\text{.}} \hfill \\ \end{gathered} \]



24. If \[\left[ {\begin{array}{*{20}{c}}  2&1&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  { -  1}&0&{ -  1} \\   { - \;1}&1&0 \\   0&1&1  \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1 \\   0 \\   { -  1}  \end{array}} \right]  =  A,\] then find value of \[A.\]

Ans: Given: Matrix equation.


Solve the matrix equation using matrix multiplication.


\[\begin{gathered}  \left[ {\begin{array}{*{20}{c}}  2&1&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&0&{ - {\text{ 1}}} \\   { - \;{\text{1}}}&1&0 \\   0&1&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1 \\   0 \\   { - {\text{ 1}}}  \end{array}} \right]{\text{  =  A}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 3}}}&4&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1 \\   0 \\   { - {\text{ 1}}} \end{array}} \right]{\text{  =  A}} \hfill \\   \Rightarrow {\text{ A  =  [}} - {\text{ 4]}} \hfill \\ \end{gathered} \]


25. If \[A  =  \left[ {\begin{array}{*{20}{c}}  2&1 \end{array}} \right], B  =  \left[ {\begin{array}{*{20}{c}}  5&3&4 \\   8&7&6 \end{array}} \right] and C  =  \left[ {\begin{array}{*{20}{c}}  { -  1}&2&1 \\   1&0&2 \end{array}} \right],\] then verify that \[A(B  +  C)  =  (AB  +  AC).\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Substitute the matrices in left and right hand side of matrix equation. Then, compare.


\[{\text{B  +  C  =  }}\left[ {\begin{array}{*{20}{c}}  5&3&4 \\   8&7&6 \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&2&1 \\   1&0&2 \end{array}} \right]\]\[\begin{gathered}  \therefore {\text{ B  +  C  =  }}\left[ {\begin{array}{*{20}{c}}  4&5&5 \\   9&7&8 \end{array}} \right] \hfill \\  {\text{A(B  +  C)  =  }}\left[ {\begin{array}{*{20}{c}}  2&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}   4&5&5 \\   9&7&8 \end{array}} \right]{\text{        }}.....{\text{(i)}} \hfill \\   \therefore {\text{ A(B  +  C)  =  }}\left[ {\begin{array}{*{20}{c}}  {17}&{17}&{18} \end{array}} \right] \hfill \\  {\text{now,}} \hfill \\  {\text{AB  =  }}\left[ {\begin{array}{*{20}{c}}  2&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  5&3&4 \\   8&7&6 \end{array}} \right] \hfill \\   \Rightarrow {\text{ AB  =  }}\left[ {\begin{array}{*{20}{c}}  {18}&{13}&{14}  \end{array}} \right]{\text{ }} \hfill \\  {\text{AC}}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  2&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&2&1 \\   1&0&2  \end{array}} \right] \hfill \\   \Rightarrow {\text{ AC  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&4&4 \end{array}} \right] \hfill \\  {\text{AB  +  AC  =   }}\left[ {\begin{array}{*{20}{c}}  {17}&{17}&{18} \end{array}} \right]{\text{       }}.....{\text{(ii)}} \hfill \\  {\text{from equation (i) and (ii), we get}} \hfill \\  \therefore {\text{ A(B  +  C)  =  AB  +  AC}} \hfill \\ \end{gathered} \]


26.If \[A  =  \left[ {\begin{array}{*{20}{c}}  1&0&{ -  1} \\   2&1&3 \\   0&1&1  \end{array}} \right],\] then verify that \[{A^2}  +  A  =  (A  +  I), where I is 3  \times  3\] unit matrix.

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


First, find \[{{\text{A}}^2}.\] Then, substitute the values in the matrix equation.


\[\begin{gathered}  {{\text{A}}^2}{\text{  =  A}}{\text{.A }} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&{ - {\text{ 1}}} \\   2&1&3 \\   0&1&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1&0&{ - {\text{ 1}}} \\   2&1&3 \\   0&1&1 \end{array}} \right] \hfill \\ \end{gathered} \]


\[\begin{gathered}   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 1}}}&{ - {\text{ 2}}} \\   4&4&4 \\   2&2&4  \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  +  A  =  }}\left[ {\begin{array}{*{20}{c}}  2&{ - {\text{ 1}}}&{ - {\text{ 3}}} \\   6&5&7 \\   2&3&5 \end{array}} \right]{\text{       }}......{\text{(i)}} \hfill \\  {\text{now,}} \hfill \\  {\text{A(A  +  I)  =   }}\left[ {\begin{array}{*{20}{c}}  1&0&{ - {\text{ 1}}} \\   2&1&3 \\   0&1&1 \end{array}} \right]\left( {\left[ {\begin{array}{*{20}{c}}  1&0&{ - {\text{ 1}}} \\   2&1&3 \\  0&1&1 \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&1&0\\   0&0&1 \end{array}} \right]} \right) \hfill \\   \Rightarrow {\text{ A(A  +  I)  =  }}\left[ {\begin{array}{*{20}{c}}  2&{ - {\text{ 1}}}&{ - {\text{ 3}}} \\   6&5&7 \\   2&3&5 \end{array}} \right]{\text{        }}......{\text{(ii)}} \hfill \\  {\text{from equation (i) and (ii), we get}} \hfill \\  {{\text{A}}^2}{\text{  +  A  =  A(A  +  I)}} \hfill \\ \end{gathered} \]


27.If \[A  =  \left[ {\begin{array}{*{20}{c}}  0&{ -  1}&2 \\   4&3&{ -  4} \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}  4&0 \\   1&3 \\   2&6 \end{array}} \right],\] then verify that 

\[(i) (A')'  =  A\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


Substitute the matrix in the given equations.


Here,

\[\begin{gathered}  {\text{A'  =  }}\left[ {\begin{array}{*{20}{c}}  0&4 \\   { - {\text{ 1}}}&3 \\   2&{ - {\text{ 4}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ (A')'  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ 1}}}&2 \\   4&3&{ - {\text{ 4}}} \end{array}} \right] \hfill \\  \therefore {\text{ (A')'  =  A}} \hfill \\ \end{gathered} \]


\[(ii) (AB)'  =  B'A'\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


Substitute the matrix in the given equations.


Here,

\[\begin{gathered}  {\text{AB  =  }}\left[ {\begin{array}{*{20}{c}}  3&9 \\   {11}&{ - {\text{ 15}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ (AB)'  =  }}\left[ {\begin{array}{*{20}{c}}  3&{11} \\   9&{ - {\text{ 15}}} \end{array}} \right] \hfill \\  {\text{B'A'  =  }}\left[ {\begin{array}{*{20}{c}}  4&1&2 \\   0&3&6  \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&4 \\   { - {\text{ 1}}}&3 \\   2&{ - {\text{ 4}}}  \end{array}} \right] \hfill \\   \Rightarrow {\text{ B'A'  =  }}\left[ {\begin{array}{*{20}{c}}   3&{11} \\   9&{ - {\text{ 15}}} \end{array}} \right] \hfill \\  \therefore {\text{ B'A'  =  (AB)'}} \hfill \\ \end{gathered} \]


\[(iii) (kA)'  =  (kA').\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


Substitute the matrix in the given equations.


Here,

\[\begin{gathered}  ({\text{kA)  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ k}}}&{2{\text{k}}} \\   {4{\text{k}}}&{3{\text{k}}}&{ - {\text{ 4k}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ (kA)'  =  }}\left[ {\begin{array}{*{20}{c}}  0&{4{\text{k}}} \\   { - {\text{ k}}}&{3{\text{k}}} \\   {2{\text{k}}}&{ - {\text{ 4k}}} \end{array}} \right] \hfill \\  {\text{kA'  =  }}\left[ {\begin{array}{*{20}{c}}  0&{4{\text{k}}} \\   { - {\text{ k}}}&{3{\text{k}}} \\   {2{\text{k}}}&{ - {\text{ 4k}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ kA'  =  (kA)'}} \hfill \\ \end{gathered} \]


28.If \[A  =  \left[ {\begin{array}{*{20}{c}}  1&2 \\   4&1 \\   5&6 \end{array}} \right] and B =  \left[ {\begin{array}{*{20}{c}}  1&2 \\   6&4 \\   7&3 \end{array}} \right],\] then verify that 

\[(i) (2A  +  B)'  =  2A'  +  B'\]

Ans: Given: Matrices \[{\text{A and B}}{\text{.}}\]


Substitute the matrices \[{\text{A and B}}{\text{.}}\] Then, use matrix algebra.


Here,

\[\begin{gathered}  (2{\text{A  +  B)  =  }}\left[ {\begin{array}{*{20}{c}}  2&4 \\   8&2 \\   {10}&{12} \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   6&4 \\   7&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ 2A  +  B  =  }}\left[ {\begin{array}{*{20}{c}}  3&6 \\   {14}&6 \\   {17}&{15} \end{array}} \right] \hfill \\   \Rightarrow {\text{ (2A  +  B)'  =  }}\left[ {\begin{array}{*{20}{c}}  3&{14}&{17} \\   6&6&{15} \end{array}} \right] \hfill \\  {\text{now,}} \hfill \\  2{\text{A'  +  B'  =  2}}\left[ {\begin{array}{*{20}{c}}  1&4&5 \\   2&1&6 \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  1&6&7 \\   2&4&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}2{\text{A'  +  B'  =  }}\left[ {\begin{array}{*{20}{c}}  3&{14}&{17} \\   6&6&{15}  \end{array}} \right] \hfill \\  \therefore {\text{ }}2{\text{A'  +  B}}'{\text{  =  (2A  +  B)'}} \hfill \\ \end{gathered} \]


\[(ii) (A  -  B)'  =  A'  -  B'.\]

Ans: Given: Matrices \[{\text{A and B}}{\text{.}}\]


Substitute the matrices \[{\text{A and B}}{\text{.}}\] Then, use matrix algebra.


Here,

\[\begin{gathered}  {\text{A }} - {\text{ B  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   4&1 \\   5&6 \end{array}} \right]{\text{ }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   6&4 \\   7&3 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   { - {\text{ 2}}}&{ - {\text{ 3}}} \\   { - {\text{ 2}}}&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ (A }} - {\text{ B)'  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ 2}}}&{ - {\text{ 2}}} \\   0&{ - {\text{ 3}}}&3 \end{array}} \right] \hfill \\  {\text{now,}} \hfill \\  {\text{A' }} - {\text{ B'  =  }}\left[ {\begin{array}{*{20}{c}}  1&4&5 \\   2&1&6  \end{array}} \right]{\text{ }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&6&7 \\   2&4&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ A' }} - {\text{ B'  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ 2}}}&{ - {\text{ 2}}} \\   0&{ - {\text{ 3}}}&3 \end{array}} \right] \hfill \\  \therefore {\text{ A' }} - {\text{ B'  =  (A }} - {\text{ B)'}} \hfill \\ \end{gathered} \]


29.Show that \[A'A and AA'\] are both symmetric matrices for any matrix \[A.\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


For symmetric matrix \[{\text{A'  =  A}}\] and for skew symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


Let


\[\begin{gathered}  {\text{X  =  A'A}} \hfill \\   \Rightarrow {\text{ X'  =  (A'A)'}} \hfill \\   \Rightarrow {\text{ X'  =  A'(A')'}} \hfill \\   \Rightarrow {\text{ X'  =  A'A }} \hfill \\   \Rightarrow {\text{ X'  =  X}} \hfill \\  \therefore {\text{ A'A is a symmetric matrix}} \hfill \\  {\text{Y  =  AA'}} \hfill \\   \Rightarrow {\text{ Y'  =  (AA')'}} \hfill \\   \Rightarrow {\text{ Y'  =  (A')'A'}} \hfill \\   \Rightarrow {\text{ Y'  =  AA'}} \hfill \\   \Rightarrow {\text{ Y'  =  Y}} \hfill \\  \therefore {\text{ AA' is symmetric matrix}}{\text{.}} \hfill \\ \end{gathered} \]


30.Let \[A and B\] be square matrices of order \[3  \times  3. Is {(AB)^2}  =  {A^2}{B^2} ?\] Give reasons.

Ans: Given: \[{\text{A and B}}\] are square matrices.


Use the matrix multiplication. Then find the condition for which \[{{\text{(AB)}}^2}{\text{  =  }}{{\text{A}}^2}{{\text{B}}^2}.\]


Here, \[{\text{A and B}}\] are square matrices.


\[\begin{gathered}  {{\text{(AB)}}^2}{\text{  =  AB}}{\text{.AB}} \hfill \\   \Rightarrow {\text{ (AB}}{{\text{)}}^2}{\text{  =  AABB}} \hfill \\   \Rightarrow {\text{ (AB}}{{\text{)}}^2}{\text{  =  }}{{\text{A}}^2}{{\text{B}}^2} \hfill \\  \therefore {\text{ (AB}}{{\text{)}}^2}{\text{  =  }}{{\text{A}}^2}{{\text{B}}^2}{\text{ is true, when AB  =  BA}}{\text{.}} \hfill \\   \hfill \\ \end{gathered} \]


31. Show that, if \[{\text{A and B}}\] are square matrices such that \[AB  =  BA,\] then \[{(A  +  B)^2}  =  {A^2}  +  2AB  +  {B^2} .\]

Ans. Given: \[{\text{A and B and AB}}{\text{  =  BA}}{\text{.}}\]


Use \[{{\text{(A  +  B)}}^2}{\text{  =  (A  +  B)}}{\text{.(A  +  B)}}\]. Then , use matrix algebra.


\[\begin{gathered}  {\text{Here,}} \hfill \\  {\text{AB  =  BA}} \hfill \\{{\text{(A  +  B)}}^2}{\text{  =  (A  +  B)(A  +  B)}} \hfill \\   \Rightarrow {\text{ (A  +  B}}{{\text{)}}^2}{\text{  =  }}{{\text{A}}^2}{\text{  +  AB  +  BA  +  }}{{\text{B}}^2} \hfill \\   \Rightarrow {\text{ (A  +  B}}{{\text{)}}^2}{\text{  =  }}{{\text{A}}^2}{\text{  +  AB  +  AB  +  }}{{\text{B}}^2} \hfill \\  \therefore {\text{ (A  +  B}}{{\text{)}}^2}{\text{  =  }}{{\text{A}}^2}{\text{  +  2AB  +  }}{{\text{B}}^2} \hfill \\ \end{gathered} \]


32. If \[A  =  \left[ {\begin{array}{*{20}{c}}  1&2 \\   { -  1}&3 \end{array}} \right], B  =  \left[ {\begin{array}{*{20}{c}}  4&0 \\   1&5 \end{array}} \right], C  =  \left[ {\begin{array}{*{20}{c}}  2&0 \\   1&{ -  2} \end{array}} \right], a  =  4 and b  =   -  2,\] then show that

\[(i) A  +  (B  +  C)  =  (A  +  B)  +  C\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Substitute the matrices \[{\text{A, B and C}}\]in the matrix equation.


Here,

\[\begin{gathered}  {\text{A  +  (B  +  C)  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{1}}}&3 \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{1}}}&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ A  +  (B  +  C)  =  }}\left[ {\begin{array}{*{20}{c}}  7&2 \\   1&6 \end{array}} \right] \hfill \\  {\text{(A  +  B)  +  C  =  }}\left[ {\begin{array}{*{20}{c}}  5&2 \\   0&8 \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  2&0 \\   1&{ - {\text{ 2}}}  \end{array}} \right] \hfill \\   \Rightarrow {\text{ (A  +  B)  +  C  =  }}\left[ {\begin{array}{*{20}{c}}  7&2 \\   1&6 \end{array}} \right] \hfill \\  \therefore {\text{ A  +  (B  +  C)  =  (A  +  B)  +  C}} \hfill \\ \end{gathered} \]


\[(ii) A(BC)  =  (AB)C\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]\


Substitute the matrices \[{\text{A, B and C}}\]in the matrix equation.


Here,

\[\begin{gathered}  {\text{BC  =  }}\left[ {\begin{array}{*{20}{c}}  4&0 \\   1&5 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&0 \\   1&{ - \,{\text{2}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ BC  =  }}\left[ {\begin{array}{*{20}{c}}  8&0 \\   7&{ - {\text{ 10}}} \end{array}} \right] \hfill \\  {\text{A(BC)  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   {{\text{ -  1}}}&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  8&0 \\   7&{ - {\text{ 10}}} \end{array}} \right] \hfill \\ \end{gathered} \]\[\begin{gathered}   \Rightarrow \;{\text{A(BC)  =  }}\left[ {\begin{array}{*{20}{c}}  {22}&{ - \;{\text{20}}} \\   {13}&{ - \;{\text{30}}} \end{array}} \right] \hfill \\  {\text{now,}} \hfill \\  {\text{(AB)  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{1}}}&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  4&0 \\   1&5 \end{array}} \right] \hfill \\   \Rightarrow {\text{ (AB)  =  }}\left[ {\begin{array}{*{20}{c}}  6&{10} \\   { - {\text{1}}}&{15} \end{array}} \right] \hfill \\  ({\text{AB)C  =  }}\left[ {\begin{array}{*{20}{c}}  6&{10} \\   { - {\text{1}}}&{15} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&0 \\   1&{ - \,{\text{2}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ (AB)C  =  }}\left[ {\begin{array}{*{20}{c}}  {22}&{ - \;{\text{20}}} \\   {13}&{ - \;{\text{30}}} \end{array}} \right] \hfill \\ \end{gathered} \]\[(iii) (a  +  b)B  =  aB  +  bB\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Substitute the matrices \[{\text{A, B and C}}\]in the matrix equation.


Here,

\[\begin{gathered}  {\text{(a  +  b)B  =  (4 }} - {\text{ 2)}}\left[ {\begin{array}{*{20}{c}}4&0 \\   1&5 \end{array}} \right] \hfill \\   \Rightarrow {\text{ (a  +  b)B  =  }}\left[ {\begin{array}{*{20}{c}}  8&0 \\   2&{10} \end{array}} \right] \hfill \\  {\text{aB  +  bB  =  4B }} - {\text{ 2B}} \hfill \\   \Rightarrow {\text{ aB  +  bB  =  }}\left[ {\begin{array}{*{20}{c}}  {16}&0 \\   4&{20} \end{array}} \right]{\text{ }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  8&0 \\   2&{10} \end{array}} \right] \hfill \\   \Rightarrow {\text{ aB  +  bB  =  }}\left[ {\begin{array}{*{20}{c}}  8&0 \\   2&{10} \end{array}} \right] \hfill \\   \Rightarrow {\text{ aB  +  bB  = }}\;({\text{a  +  b)B}} \hfill \\ \end{gathered} \]


\[(iv) a(C  -  A)  =  aC  -  aA\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Substitute the matrices \[{\text{A, B and C}}\]in the matrix equation.


Here,

\[\begin{gathered}  {\text{(C }} - {\text{ A)  =  }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 2}}} \\   2&{ - {\text{ 5}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ a(C }} - {\text{ A) =  }}\left[ {\begin{array}{*{20}{c}}  4&{ - {\text{ 8}}} \\   8&{ - {\text{ 20}}} \end{array}} \right] \hfill \\  {\text{aC }} - {\text{ aA  =  }}\left[ {\begin{array}{*{20}{c}}  8&0 \\   4&{ - {\text{ 8}}} \end{array}} \right]{\text{ }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  4&8 \\   { - {\text{ 4}}}&{12} \end{array}} \right] \hfill \\   \Rightarrow {\text{ aC }} - {\text{ aA  =  }}\left[ {\begin{array}{*{20}{c}}  4&{ - {\text{ 8}}} \\   8&{ - {\text{ 20}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ aC }} - {\text{ aA  =  a(C }} - {\text{ A)}} \hfill \\ \end{gathered} \]


\[(v){({A^T})^T}  =  A\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Substitute the matrices \[{\text{A, B and C}}\]in the matrix equation.


Here,

\[\begin{gathered}  {{\text{A}}^{\text{T}}}{\text{  =  }}{\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ 1}}}&3 \end{array}} \right]^{\text{T}}}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 1}}} \\   2&3  \end{array}} \right] \hfill \\ {{\text{(}}{{\text{A}}^{\text{T}}})^{\text{T}}}{\text{  =  }}{\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ 1}}}&3 \end{array}} \right]^{\text{T}}}{\text{  =  A}} \hfill \\ \end{gathered} \]


\[(vi) {(bA)^T}  =  b{A^T}\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Substitute the matrices \[{\text{A, B and C}}\]in the matrix equation.


Here,

\[\begin{gathered}  {{\text{(bA)}}^{\text{T}}}{\text{  =  }}{\left[ {\begin{array}{*{20}{c}}  { - {\text{ 2}}}&{ - {\text{ 4}}} \\   2&{ - {\text{ 6}}} \end{array}} \right]^{\text{T}}}{\text{  = }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 2}}}&2 \\   { - {\text{ 4}}}&{ - {\text{ 6}}} \end{array}} \right] \hfill \\  {{\text{A}}^{\text{T}}}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 1}}} \\   2&3 \end{array}} \right] \hfill \\ \Rightarrow {\text{ b}}{{\text{A}}^{\text{T}}}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 2}}}&2 \\   { - \;{\text{4}}}&{ - {\text{ 6}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ b}}{{\text{A}}^{\text{T}}}{\text{  =  (bA}}{{\text{)}}^{\text{T}}} \hfill \\ \end{gathered} \]


\[(vii){(AB)^T}  =  {B^T}{A^T}\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Substitute the matrices \[{\text{A, B and C}}\]in the matrix equation.


Here,

\[\begin{gathered}  {\text{AB  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ 1}}}&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  4&0 \\   {\text{1}}&5  \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  6&{10} \\   { - {\text{ 1}}}&{15} \end{array}} \right] \hfill \\   \Rightarrow {\text{ (AB}}{{\text{)}}^{\text{T}}}{\text{  = }}\left[ {\begin{array}{*{20}{c}}  6&{ - \;{\text{1}}} \\   {10}&{15} \end{array}} \right]{\text{ }} \hfill \\  {{\text{B}}^{\text{T}}}{{\text{A}}^{\text{T}}}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  4&1 \\   0&5 \end{array}} \right]\left[ {\begin{array}{*{20}{c}} 1&{ - {\text{ 1}}} \\   2&3 \end{array}} \right]{\text{ }} = {\text{ }}\left[ {\begin{array}{*{20}{c}}  6&{ - \;{\text{1}}} \\   {10}&{15} \end{array}} \right] \hfill \\ \Rightarrow {\text{ }}{{\text{B}}^{\text{T}}}{{\text{A}}^{\text{T}}}{\text{  = (AB}}{{\text{)}}^{\text{T}}} \hfill \\ \end{gathered} \]



\[(viii)(A  -  B)C  =  AC  -  BC\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Substitute the matrices \[{\text{A, B and C}}\]in the matrix equation.


Here,

\[\begin{gathered}  {\text{(A }} - {\text{ B)  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 3}}}&2 \\   { - {\text{ 2}}}&{ - {\text{ 2}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ (A }} - {\text{ B)C  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 4}}}&{ - {\text{ 4}}} \\   { - {\text{ 6}}}&4 \end{array}} \right] \hfill \\  {\text{AC  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   { - {\text{ 1}}}&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&0 \\   1&{ - {\text{ 2}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  4&{ - {\text{ 4}}} \\   1&{ - {\text{ 6}}} \end{array}} \right] \hfill \\  {\text{BC  =  }}\left[ {\begin{array}{*{20}{c}}  4&0 \\   1&5 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&0 \\   1&{ - {\text{ 2}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  8&0 \\   7&{ - {\text{ 10}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ AC }} - {\text{ BC  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 4}}}&{ - {\text{ 4}}} \\   { - {\text{ 6}}}&4 \end{array}} \right] \hfill \\   \Rightarrow {\text{ AC }} - {\text{ BC  =  (A }} - {\text{ B)C}} \hfill \\ \end{gathered} \]


\[(ix){(A  -  B)^T}  =  {A^T}  -  {B^T}\]

Ans: Given: Matrices \[{\text{A, B and C}}{\text{.}}\]


Substitute the matrices \[{\text{A, B and C}}\]in the matrix equation.


Here,

\[\begin{gathered}  {{\text{(A }} - {\text{ B)}}^{\text{T}}}{\text{  =  }}{\left[ {\begin{array}{*{20}{c}}  { - {\text{ 3}}}&2 \\   { - {\text{ 2}}}&{ - {\text{ 2}}}  \end{array}{\text{ }}} \right]^{\text{T}}}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 3}}}&{ - {\text{ }}2} \\   {\text{2}}&{ - {\text{ 2}}} \end{array}{\text{ }}} \right] \hfill \\  {{\text{A}}^{\text{T}}}{\text{ }} - {\text{ }}{{\text{B}}^{\text{T}}}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 1}}} \\   2&3 \end{array}{\text{ }}} \right]{\text{ }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  4&1 \\   0&5 \end{array}} \right] \hfill \\ \Rightarrow {\text{ }}{{\text{A}}^{\text{T}}}{\text{ }} - {\text{}}{{\text{B}}^{\text{T}}}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 3}}}&{ - {\text{ 2}}} \\   2&{ - {\text{ 2}}} \end{array}{\text{ }}} \right] \hfill \\ \Rightarrow {\text{ }}{{\text{A}}^{\text{T}}}{\text{ }} - {\text{ }}{{\text{B}}^{\text{T}}}{\text{  =  (A }} - {\text{ B}}{{\text{)}}^{\text{T}}} \hfill \\ \end{gathered} \]


33.If \[A  =  \left[ {\begin{array}{*{20}{c}}  {cosq}&{sinq} \\   { -  sinq}&{cosq} \end{array}} \right],\] then show that \[{A^2}  =  \left[ {\begin{array}{*{20}{c}} {cos2q}&{sin2q} \\   { -  sin2q}&{cos2q} \end{array}} \right].\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


Use \[{{\text{A}}^2}{\text{  =  A}}{\text{.A}}{\text{.}}\] Then, substitute matrix \[{\text{A}}{\text{.}}\]


\[\begin{gathered}  {{\text{A}}^2}{\text{  =  A}}{\text{.A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos {\text{2q}}}&{\sin 2{\text{q}}} \\   { - {\text{ sin2q}}}&{\cos 2{\text{q}}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\cos {\text{2q}}}&{\sin 2{\text{q}}} \\   { - {\text{ sin2q}}}&{\cos 2{\text{q}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {{{\cos }^2}{\text{q }} - {\text{ si}}{{\text{n}}^2}{\text{q}}}&{\cos {\text{q}}\sin {\text{q  +  sinqcosq}}} \\   { - {\text{ }}\cos {\text{q}}\sin {\text{q }} - {\text{ sinqcosq}}}&{ - {\text{ si}}{{\text{n}}^2}{\text{q  + co}}{{\text{s}}^2}{\text{q}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos {\text{2q}}}&{2\sin {\text{qcosq}}} \\   { - {\text{ 2sinqcosq}}}&{\cos 2{\text{q}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos  {\text{2q}}}&{\sin 2{\text{q}}} \\   { - {\text{ sin2q}}}&{\cos 2{\text{q}}} \end{array}} \right]. \hfill \\ \end{gathered} \]


34.If \[A  =  \left[ {\begin{array}{*{20}{c}}  0&{ -  x} \\   x&0 \end{array}} \right], B  =  \left[ {\begin{array}{*{20}{c}}  0&1 \\   1&0 \end{array}} \right] and {x^2}  =   -  1,\] then show that \[{(A  +  B)^2}  =  {A^2}  +  {B^2}.\]

Ans: Given: Matrices \[{\text{A, B and }}{{\text{x}}^2}{\text{  =  }} - {\text{ 1}}{\text{.}}\]


Substitute the matrices in equation. Use matrix algebra.


\[\begin{gathered}  {\text{(A  +  B)  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ x  + 1}}} \\   {{\text{x  +  1}}}&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ (A  + B}}{{\text{)}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ x  +  1}}} \\  {{\text{x  +  1}}}&0 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ x  +  1}}} \\   {{\text{x  +  1}}}&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ (A  +  B}}{{\text{)}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {1{\text{ }} - {\text{ }}{{\text{x}}^2}}&0 \\   0&{1{\text{ }} - {\text{ }}{{\text{x}}^2}} \end{array}} \right] \hfill \\  \end{gathered} \]\[\begin{gathered}  {\text{now,}} \hfill \\  {{\text{A}}^2}{\text{  = A}}{\text{.A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ x}}} \\   {\text{x}}&0 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ x}}} \\   {\text{x}}&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ }}{{\text{x}}^2}}&0 \\   0&{{{\text{x}}^2}} \end{array}} \right] \hfill \\  {{\text{B}}^2}{\text{  =  B}}{\text{.B}} \hfill \\   \Rightarrow {\text{ }}{{\text{B}}^2}{\text{  =  }}\left[  {\begin{array}{*{20}{c}}  0&1 \\   1&0 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&1 \\   1&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{B}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  +  }}{{\text{B}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {1{\text{ }} - {\text{ }}{{\text{x}}^2}}&0 \\   0&{{\text{1 }} - {\text{ }}{{\text{x}}^2}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ (A  +  B}}{{\text{)}}^2}{\text{  = }}{{\text{A}}^2}{\text{  +  }}{{\text{B}}^2} \hfill \\ \end{gathered} \]


35. Verify \[{A^2}  =  I, where A  =  \left[ {\begin{array}{*{20}{c}}  0&1&{ - 1} \\   4&{ -  3}&4 \\   3&{ -  3}&4 \end{array}} \right].\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


First, find \[{{\text{A}}^2}{\text{ using }}{{\text{A}}^2}{\text{  =  A}}{\text{.A}}{\text{.}}\] 


Then, compare it with identity matrix.


\[\begin{gathered}  {{\text{A}}^2}{\text{  =  A}}{\text{.A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&1&{ - \,{\text{1}}} \\   4&{ - {\text{ 3}}}&4 \\   3&{ - {\text{ 3}}}&4 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&1&{ - \,{\text{1}}} \\   4&{ - {\text{ 3}}}&4 \\   3&{ - {\text{ 3}}}&4 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}} 1&0&0 \\   0&1&0 \\   0&0&1 \end{array}} \right] \hfill \\  \therefore {\text{ }}{{\text{A}}^2}{\text{  =  I}}{\text{.}} \hfill \\ \end{gathered} \]


36. Prove by mathematical induction that \[{(A')^n}  =  ({A^n})' where, n \hat{I}\] N for any square matrix \[A.\]

Ans: Given: Square matrix \[{\text{A}}{\text{.}}\]


Consider \[{\text{P(1) and P(k)}}\] be true. Then, prove that \[{\text{P(k  +  1)}}\] be true.

Let,

\[\begin{gathered} {\text{P(n) : (A'}}{{\text{)}}^{\text{n}}}{\text{  = (}}{{\text{A}}^{\text{n}}})'{\text{ be true}}{\text{.}} \hfill \\  {\text{P(1) : A'  =  A}} \hfill \\ \Rightarrow {\text{ P(1) be true}}{\text{.}} \hfill \\  {\text{now, P(k) be true,}} \hfill {\text{P(k) : (A'}}{{\text{)}}^{\text{k}}} {\text{  =  (}}{{\text{A}}^{\text{k}}})' {\text{now, P(k  +  1)}} \hfill \\  {\text{P(k  +  1) : (A'}}{{\text{)}}^{{\text{k  +  1}}}}{\text{  = (}}{{\text{A}}^{{\text{k  +  1}}}})'  {\text{  = (}}{{\text{A}}^{{\text{k  +  1}}}})' \\  {\text{P(k  +  1) : (A'}}{{\text{)}}^{\text{k}}}.{({\text{A')}}^1}{\text{  =  [}}{{\text{A}}^{{\text{k  +  1}}}}]'    \\ {\text{P(k  +  1) : (}}{{\text{A}}^{\text{k}}}{\text{)'  =  (A)'  =  [}}{{\text{A}}^{{\text{k  + 1}}}}]'\\ {\text{P(k  +  1) : (A}}{\text{.}}{{\text{A}}^{\text{k}}}{\text{)'  = }}{{\text{A}}^{{\text{k  +  1}}}}]' \\ {\text{P(k  +  1) : [}}{{\text{A}}^{{\text{k  + 1}}}}]'{\text{  =  [}}{{\text{A}}^{{\text{k  +  1}}}}]'\\ \therefore {\text{ P(k  +  1) is true}}{\text{.}} \end{gathered} \]


37. Find inverse, by elementary row operations (if possible), of the following matrices.

\[(i)\left[ {\begin{array}{*{20}{c}}  1&3 \\   { - \;5}&7 \end{array}} \right]\]

Ans: Given: Matrices.


For elementary row operations use \[{\text{A  =  IA}}{\text{.}}\]


Here, 

\[{\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  1&3 \\   { - \;{\text{5}}}&7 \end{array}} \right]\]


For elementary row operation, 


\[\begin{gathered}  {\text{A  =  IA}}{\text{.}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&3 \\   { - \;{\text{5}}}&7 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right]{\text{A}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&3 \\   0&{22} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   5&1 \end{array}} \right]{\text{A       [operation: }}{{\text{R}}_2} \to {\text{ }}{{\text{R}}_2}{\text{  +  5}}{{\text{R}}_1}] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&3 \\   0&1 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   {\frac{5}{{22}}}&{\frac{1}{{22}}} \end{array}} \right]{\text{A    }}\left[ {{\text{operation: }}{{\text{R}}_2} \to {\text{ }}\frac{1}{{22}}{{\text{R}}_2}} \right] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {\frac{7}{{22}}}&{\frac{{ - {\text{ 3}}}}{{22}}} \\   {\frac{5}{{22}}}&{\frac{1}{{22}}} \end{array}} \right]{\text{A    }}\left[ {{\text{operation: }}{{\text{R}}_1} \to {\text{ }}{{\text{R}}_1}{\text{ }} - {\text{ 3}}{{\text{R}}_2}} \right]{\text{ }} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right]{\text{  =  }}\frac{1}{{22}}\left[ {\begin{array}{*{20}{c}}  7&{ - {\text{ 3}}} \\   5&1 \end{array}} \right]{\text{A}} \hfill \\   \Rightarrow {\text{ I  =  }}{{\text{A}}^{ - {\text{ 1}}}}{\text{A}} \hfill \\  \therefore {\text{ }}{{\text{A}}^{ - {\text{ 1}}}}{\text{  =  }}\frac{1}{{22}}\left[ {\begin{array}{*{20}{c}}  7&{ - {\text{ 3}}} \\   5&1 \end{array}} \right] \hfill \\ \end{gathered} \]


\[(ii)\left[ {\begin{array}{*{20}{c}}  1&{ -  3} \\   { - \;2}&6 \end{array}} \right]\]

Ans: Given: Matrices.


For elementary row operations use \[{\text{A  =  IA}}{\text{.}}\]


Here,

\[{\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 3}}} \\   { - \;2}&6 \end{array}} \right]\]


For elementary row operation, 

\[\begin{gathered}  {\text{A  =  IA}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 3}}} \\   { - \;2}&6 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right]{\text{A}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 3}}} \\   0&0 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   2&1 \end{array}} \right]{\text{A       [operation: }}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{  +  2}}{{\text{R}}_1}]\hfill \\ \end{gathered} \]


All zeros in a row represent that \[{{\text{A}}^{ - {\text{ 1}}}}\] does not exist.


38. If \[\left[ {\begin{array}{*{20}{c}}  {xy}&4 \\   {z  +  6}&{x  +  y} \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  8&w \\   0&6 \end{array}} \right],\] then find the values of \[x, y, z and w.\]

Ans: Given: Matrix equation.


If two matrix are equal, then \[{{\text{a}}_{{\text{ij}}}}{\text{  =  }}{{\text{b}}_{{\text{ij}}}}.\]


Here,

\[\begin{gathered}  \left[ {\begin{array}{*{20}{c}}  {{\text{xy}}}&4 \\   {{\text{z  +  6}}}&{{\text{x  +  y}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  8&{\text{w}} \\   0&6 \end{array}} \right] \hfill \\   \Rightarrow {\text{ x  +  y  =  6 and xy  =  8}} \hfill \\   \Rightarrow {\text{ (6 }} - {\text{ y)y   =  8}} \hfill \\   \Rightarrow {\text{ }}{{\text{y}}^2}{\text{ }} - {\text{ 6y  +  8  =  0}} \hfill \\   \Rightarrow {\text{ }}{{\text{y}}^2}{\text{ }} - {\text{ 4y }} - {\text{ 2y  +  8  =  0}} \hfill \\   \Rightarrow {\text{ (y }} - {\text{ 2)(y }} - {\text{ 4)  =  0}} \hfill \\  \Rightarrow {\text{ y  =  2 or y  =  4}} \hfill \\  \Rightarrow {\text{ x  =  6 }} - {\text{ 2  =  4}} \hfill \\   \Rightarrow {\text{ x  =  6 }} - {\text{ 4  =  2}} \hfill \\  {\text{now, z  +  6  =  0 and w  =  4}} \hfill \\  \therefore {\text{ x  =  2, y  = 4 or x  =  4, y  =  2, z  =  }} - {\text{ 6 and w  =  4}}{\text{.}} \hfill \\ \end{gathered} \]


39. If \[A  =  \left[ {\begin{array}{*{20}{c}}  1&5 \\   7&{12} \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}  9&1 \\   7&8 \end{array}} \right],\] then find a matrix \[C\] such that \[3A  +  5B  +  2C\] is a null matrix.

Ans: Given: Matrices \[{\text{A and B}}{\text{.}}\]


Substitute the matrices \[{\text{A and B}}{\text{.}}\] Then, use matrix algebra.


Here,

\[\begin{gathered}  {\text{Let, }} \hfill \\  {\text{C  =  }}\left[ {\begin{array}{*{20}{c}} {\text{a}}&{\text{b}} \\   {\text{c}}&{\text{d}} \end{array}} \right] \hfill \\  {\text{3A  +  5B  +  2C  =  0}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  3&{15} \\   {21}&{36} \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  {45}&5 \\  {35}&{40} \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}} {2{\text{a}}}&{2{\text{b}}} \\   {2{\text{c}}}&{2{\text{d}}} \end{array}} \right]{\text{  =  0}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  {48{\text{  +  2a}}}&{20{\text{  +  2b}}} \\   {56{\text{  +  2c}}}&{76{\text{  +  2d}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&0 \end{array}} \right] \hfill \\  \Rightarrow {\text{ 2a  +  48  =  0 or a  =  }} - {\text{ 24}} \hfill \\   \Rightarrow {\text{ 20  +  2b  =  0 or b  =  }} - {\text{ 10}} \hfill \\   \Rightarrow {\text{ 56  +  2c  =  0 or c  =  }} - {\text{ 28}} \hfill \\   \Rightarrow {\text{ 76  +  2d  =  0 or d  =  }} - {\text{ 38}} \hfill \\ \therefore {\text{ C  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 24}}}&{ - {\text{ 10}}} \\  { - {\text{ 28}}}&{ - {\text{ 38}}} \end{array}} \right] \hfill \\ \end{gathered} \]


40. If \[A  =  \left[ {\begin{array}{*{20}{c}}  3&{ -  5} \\   { -  4}&2 \end{array}} \right], then {A^2}  -  5A  -  14I.\] Hence, obtain \[{A^3}.\]

Ans: Given: Matrix  \[{\text{A}}{\text{.}}\]


First, calculate \[{{\text{A}}^2}\;{\text{using }}{{\text{A}}^2}{\text{  =  A}}{\text{.A and then }}{{\text{A}}^3}.\]


\[\begin{gathered}  {{\text{A}}^2}{\text{  =  A}}{\text{.A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  3&{ - {\text{ 5}}} \\   { - {\text{ 4}}}&2 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  3&{ - {\text{ 5}}} \\   { - {\text{ 4}}}&2 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {29}&{ - {\text{ 25}}} \\   { - {\text{ 20}}}&{24} \end{array}} \right] \hfill \\  \therefore {\text{ }}{{\text{A}}^2}{\text{ }} - {\text{ 5A }} - {\text{ 14I  =  }}\left[ {\begin{array}{*{20}{c}}  {29}&{ - {\text{ 25}}} \\   { - {\text{ 20}}}&{24}  \end{array}} \right]{\text{ }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  {15}&{ - {\text{ 25}}} \\   { - {\text{ 20}}}&{10} \end{array}} \right]{\text{ }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  {14}&0 \\   {\text{0}}&{14} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{ }} - {\text{ 5A }} - {\text{ 14I  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   {\text{0}}&0  \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{ }} - {\text{ 5A }} - {\text{ 14I  =  0}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^3}{\text{ }} - {\text{ 5}}{{\text{A}}^2}{\text{ }} - {\text{ 14A  =  0}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^3}{\text{  =  5}}{{\text{A}}^2}{\text{  +  14A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^3}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {145}&{ - {\text{ 125}}} \\   { - {\text{ 100}}}&{120} \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  {42}&{ - {\text{ 7}}0} \\   { - {\text{ 56}}}&{28} \end{array}} \right] \hfill \\  \therefore {\text{ }}{{\text{A}}^3}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {187}&{ - {\text{ 195}}} \\   { - {\text{ 156}}}&{148} \end{array}} \right] \hfill \\ \end{gathered} \]


41. Find the values of \[a, b, c and d, if\]\[3\left[ {\begin{array}{*{20}{c}}  a&b \\   c&d \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  a&6 \\   { -  1}&{2d} \end{array}} \right]  +  \left[ {\begin{array}{*{20}{c}}  4&{a  +  b} \\   {c  +  d}&3 \end{array}} \right]\]

Ans: Given: Matrix equations.


Solve the equation using matrix algebra.


\[\begin{gathered}  {\text{3}}\left[ {\begin{array}{*{20}{c}}  {\text{a}}&{\text{b}} \\   {\text{c}}&{\text{d}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {\text{a}}&6 \\   { - {\text{ 1}}}&{{\text{2d}}} \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  4&{{\text{a  +  b}}} \\   {{\text{c  +  d}}}&3 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  {{\text{3a}}}&{{\text{3b}}} \\   {{\text{3c}}}&{{\text{3d}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {{\text{a  +  4}}}&{{\text{6  +  a  +  b}}} \\   {{\text{c  +  d }} - {\text{ 1}}}&{{\text{2d  +  3}}} \end{array}} \right] \hfill \\ \end{gathered} \]


\[\begin{gathered}   \Rightarrow {\text{ 3a  =  a  +  4 or a  =  2}} \hfill \\   \Rightarrow {\text{ 3b  =  6  +  a  +  b or b  =  4}} \hfill \\ \end{gathered} \]\[\begin{gathered}   \Rightarrow {\text{ 2c  =  c  +  d }} - {\text{ 1 or c  =  1}} \hfill \\  \therefore {\text{ a  =  2, b  =  4, c  =  1 and d  =  3}} \hfill \\ \end{gathered} \]


42. Find the matrix \[{\text{A}}\] such that \[\left[ {\begin{array}{*{20}{c}}  2&{ - \;1} \\   1&0 \\   { -  3}&4 \end{array}} \right]A  =  \left[ {\begin{array}{*{20}{c}}  { - 1}&{ - 8}&{ -  10} \\   1&{ -  2}&{ -  5} \\   9&{22}&{15} \end{array}} \right].\]

Ans: Given: Matrix equation.


Consider the matrix with defined order. Then, use matrix multiplication.


Here,

\[{\left[ {\begin{array}{*{20}{c}}  2&{ - \;{\text{1}}} \\   1&0 \\   { - {\text{ 3}}}&4 \end{array}} \right]_{3{\text{ }} \times {\text{ 2}}}}{\text{A  =  }}{\left[ {\begin{array}{*{20}{c}}  { - {\text{1}}}&{ - {\text{ 8}}}&{ - {\text{ 10}}} \\   1&{ - {\text{ 2}}}&{ - {\text{ 5}}} \\   9&{22}&{15} \end{array}} \right]_{3{\text{ }} \times }}_{{\text{ 3}}}\]


Therefore, the possible order of \[{\text{A is 2 }} \times {\text{ 3}}{\text{.}}\]


\[\begin{gathered}  {\text{So, A  =  }}\left[ {\begin{array}{*{20}{c}} {\text{a}}&{\text{b}}&{\text{c}} \\   {\text{d}}&{\text{e}}&{\text{f}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&{ - {\text{ 1}}} \\   1&0 \\   { - {\text{ 3}}}&4 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\text{a}}&{\text{b}}&{\text{c}} \\   {\text{d}}&{\text{e}}&{\text{f}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{1}}}&{ - {\text{ 8}}}&{ - {\text{ 10}}} \\   1&{ - {\text{ 2}}}&{ - {\text{ 5}}} \\   9&{22}&{15} \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  {2{\text{a }} - {\text{ d}}}&{2{\text{b }} - {\text{ e}}}&{2{\text{c }} - {\text{ f}}} \\   {{\text{a  +  0}}{\text{.d}}}&{{\text{b  + 0}}{\text{.e}}}&{{\text{c  +  0}}{\text{.f}}} \\   { - {\text{ 3a  +  4d}}}&{ - {\text{ 3b  +  4e}}}&{ - {\text{ 3c  +  4f}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ }}{\text{1}}}&{ - {\text{ 8}}}&{ - {\text{ 10}}} \\   1&{ - {\text{ 2}}}&{ - {\text{ 5}}} \\  9&{22}&{15} \end{array}} \right] \hfill \\ \end{gathered} \]\[\begin{gathered}  \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  {2{\text{a }} - {\text{ d}}}&{2{\text{b }} - {\text{ e}}}&{2{\text{c }} - {\text{ f}}} \\   {{\text{a }}}&{\text{b}}&{\text{c}} \\   { - {\text{ 3a  +  4d}}}&{ - {\text{ 3b  +  4e}}}&{ - {\text{ 3c  +  4f}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ }}{\text{1}}}&{ - {\text{ 8}}}&{ - {\text{ 10}}} \\   1&{ - {\text{ 2}}}&{ - {\text{ 5}}} \\   9&{22}&{15} \end{array}} \right] \hfill \\   \Rightarrow {\text{ a  =  1, b  =  }} - {\text{ 2, c  =  }} - {\text{ 5}} \hfill \\  {\text{and, 2a }} - {\text{ d  =  }} - {\text{ 1 or d  =  3}} \hfill \\ \end{gathered} \]\[\begin{gathered}   \Rightarrow {\text{ }}2{\text{b }} - {\text{ e  =  }} - {\text{ 8 or e  =  4}} \hfill \\   \Rightarrow {\text{ 2c }} - {\text{ f  =  }} - {\text{  10 or f   =  0}} \hfill \\ \end{gathered} \]


\[\therefore {\text{ A  =  }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 2}}}&{ - {\text{ 5}}} \\   3&4&0 \end{array}} \right]\]


43. If \[A  =  \left[ {\begin{array}{*{20}{c}}  1&2 \\   4&1 \end{array}} \right],\] then find \[{A^2}  +  2A  +  7I.\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


First, find \[{{\text{A}}^2}{\text{ using }}{{\text{A}}^2}{\text{  =  A}}{\text{.A}}{\text{.}}\] 


Then, substitute in the equation \[{{\text{A}}^2}{\text{  +  2A  +  7I}}{\text{.}}\]


\[\begin{gathered}  {{\text{A}}^2}{\text{  =  A}}{\text{.A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&2 \\   4&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  1&2 \\   4&1 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  9&4 \\   8&9 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  +  2A  +  7I  =  }}\left[ {\begin{array}{*{20}{c}}  9&4 \\   8&9 \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  2&4 \\   8&2 \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  7&0 \\   0&7 \end{array}} \right] \hfill \\  \therefore {\text{ }}{{\text{A}}^2}{\text{  +  2A  +  7I  =  }}\left[ {\begin{array}{*{20}{c}}  {18}&8 \\   {16}&{18} \end{array}} \right] \hfill \\ \end{gathered} \]


44. If \[A  =  \left[ {\begin{array}{*{20}{c}}  {cos\alpha }&{sin\alpha } \\   { - \;sin\alpha }&{cos\alpha } \end{array}} \right] and {A^{ -  1}}  =  A',\] then find the value of \[{\text{\alpha }}{\text{.}}\]

Ans:Given: Matrix \[{\text{A and }}{{\text{A}}^{ - {\text{ }}1}}{\text{  =  A'}}{\text{.}}\]


Use basic identity \[{\text{A}}{{\text{A}}^{ - {\text{ 1}}}}{\text{  =  AA'}}{\text{.}}\] \[\begin{gathered}  {{\text{A}}^{ - \;{\text{1}}}}{\text{  =  A'}} \hfill \\   \Rightarrow \;\;{\text{A}}{{\text{A}}^{ - {\text{ 1}}}}{\text{  =  AA'}} \hfill \\ \end{gathered} \]


\[\begin{gathered}   \Rightarrow \;\;{\text{I  =  }}\left[ {\begin{array}{*{20}{c}}  {{\text{cos\alpha }}}&{{\text{sin\alpha }}} \\   { - \;{\text{sin\alpha }}}&{{\text{cos\alpha }}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {{\text{cos\alpha }}}&{ - \;{\text{sin\alpha }}} \\   {{\text{sin\alpha }}}&{{\text{cos\alpha }}} \end{array}} \right] \hfill \\   \Rightarrow \;\;\left[ {\begin{array}{*{20}{c}}  {\text{1}}&{\text{0}} \\ {\text{0}}&{\text{1}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {{\text{co}}{{\text{s}}^{\text{2}}}{\text{\alpha   +  si}}{{\text{n}}^{\text{2}}}{\text{\alpha }}}&{{\text{sin\alpha }}} \\ { - \;{\text{sin\alpha }}}&{{\text{si}}{{\text{n}}^{\text{2}}}{\text{\alpha + co}}{{\text{s}}^{\text{2}}}{\text{\alpha }}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ co}}{{\text{s}}^{\text{2}}}{\text{\alpha   +  si}}{{\text{n}}^{\text{2}}}{\text{\alpha }}{\text{ =  1}} \hfill \\ \end{gathered} \]


This is true for all real values of \[{\text{\alpha }}{\text{.}}\]


45. If matrix \[\left[ {\begin{array}{*{20}{c}}  0&a&3 \\   2&b&{ -  1} \\   c&1&0 \end{array}} \right]\] is a skew-symmetric matrix, then find the value of \[a, b and c.\]

Ans: Given: Skew symmetric matrix.


For skew symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


\[\begin{gathered}  {\text{A'  =  }} - {\text{ A}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  0&2&{\text{c}} \\   {\text{a}}&{\text{b}}&{\text{1}} \\   3&{ - \;{\text{1}}}&0 \end{array}} \right]{\text{  =  }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  0&{\text{a}}&3 \\   2&{\text{b}}&{ - {\text{ 1}}} \\   {\text{c}}&1&0  \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  0&2&{\text{c}} \\   {\text{a}}&{\text{b}}&{\text{1}} \\   3&{ - \;{\text{1}}}&0 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ a}}}&{ - {\text{ }}3} \\   { - {\text{ }}2}&{ - {\text{ b}}}&{{\text{ 1}}} \\   { - {\text{ c}}}&{ - {\text{ }}1}&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ a  =  }} - {\text{ 2, b  =  0 and c  =  }} - {\text{ 3}}{\text{.}} \hfill \\  \end{gathered} \]


46. If \[P(x)  =  \left[ {\begin{array}{*{20}{c}}  {cosx}&{sinx} \\   { -  sinx}&{cosx} \end{array}} \right],\] then show that \[P(x).P(y)  =  P(x  +  y)  =  P(y).P(x).\]

Ans: Given: Matrix \[{\text{P(x)}}{\text{.}}\]


Replace \[{\text{x with y and (x  +  y)}}\] in matrix. Then, use matrix multiplication.


\[\begin{gathered}  {\text{P(x)  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos {\text{x}}}&{\sin {\text{x}}} \\   { - {\text{ sinx}}}&{\cos {\text{x}}} \end{array}} \right],{\text{ P(y)  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos {\text{y}}}&{\sin {\text{y}}} \\   { - {\text{ siny}}}&{\cos {\text{y}}} \end{array}} \right] \hfill \\   \Rightarrow \;{\text{P(x)}}{\text{.P(y)  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos {\text{x}}}&{\sin {\text{x}}} \\   { - {\text{ sinx}}}&{\cos {\text{x}}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\cos {\text{y}}}&{\sin {\text{y}}} \\   { - {\text{ siny}}}&{\cos {\text{y}}} \end{array}} \right] \hfill \\   \Rightarrow \;{\text{P(x)}}{\text{.P(y)  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos {\text{x}}{\text{.cosy  -  sinx}}{\text{.siny}}}&{\cos {\text{x}}\sin {\text{y  +  sinx}}{\text{.cosy}}} \\   { - {\text{ sinxcosy  -  cosx}}{\text{.siny}}}&{ - {\text{ sinx}}{\text{.siny  +  }}\cos {\text{x}}{\text{.cosy}}} \end{array}} \right] \hfill \\   \Rightarrow \;{\text{P(x)}}{\text{.P(y) =  }}\left[ {\begin{array}{*{20}{c}}  {\cos ({\text{x  +  y)}}}&{\sin ({\text{x  +  y)}}} \\   { - {\text{ sin(x   +  y)}}}&{\cos ({\text{x  +  y)}}} \end{array}} \right] \hfill \\  {\text{now,}} \hfill \\  {\text{P(y)}}{\text{.P(x)  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos {\text{y}}}&{\sin {\text{y}}} \\   { - {\text{ siny}}}&{\cos {\text{y}}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  {\cos {\text{x}}}&{\sin {\text{x}}} \\   { - {\text{ sinx}}}&{\cos {\text{x}}} \end{array}} \right] \hfill \\   \Rightarrow \;{\text{P(y)}}{\text{.P(x)  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos {\text{y}}{\text{.cosx  -  siny}}{\text{.sinx}}}&{\cos {\text{y}}\sin {\text{x  +  siny}}{\text{.cosx}}} \\   { - {\text{ sinycosx  -  cosy}}{\text{.sinx}}}&{ - {\text{ siny}}{\text{.sinx  +  }}\cos {\text{y}}{\text{.cosx}}}  \end{array}} \right] \hfill \\   \Rightarrow \;{\text{P(x)}}{\text{.P(y)  =  }}\left[ {\begin{array}{*{20}{c}}  {\cos ({\text{x  +  y)}}}&{\sin ({\text{x  +  y)}}} \\   { - {\text{ sin(x   +  y)}}}&{\cos ({\text{x  +  y)}}} \end{array}} \right] \hfill \\  \therefore {\text{ P(x)}}{\text{.P(y)  =  P(x  +  y)  =  P(y)}}{\text{.P(x)}} \hfill \\ \end{gathered} \]


47. If \[{\text{A}}\] is square matrix such that \[{A^2}  =  A,\] then show that \[{(I  +  A)^3}  =  7A  +  I.\]

Ans: Given: Matrix \[{\text{A and }}{{\text{A}}^2}{\text{  =  A}}{\text{.}}\]


Use \[{{\text{(I  +  A)}}^2}{\text{  =  (I  +  A)(I  +  A)}}{\text{.}}\] Then, use matrix algebra.


\[\begin{gathered}  {\text{Here, }}{{\text{A}}^2}{\text{  =  A}} \hfill \\  {\text{(I  +  A)(I  +  A)  =  }}{{\text{I}}^2}{\text{  +  IA  +  AI  +  }}{{\text{A}}^2} \hfill \\   \Rightarrow {\text{ (I  +  A)(I  +  A)  =  }}{{\text{I}}^2}{\text{  +  2AI  +  }}{{\text{A}}^2} \hfill \\  {\text{(I  +  A)(I  +  A)  =  }}{{\text{I}}^2}{\text{  +  2AI  +  A}} \hfill \\ \end{gathered} \]


\[\begin{gathered}  {\text{(I  +  A)(I  +  A)  =  I  +  3A}} \hfill \\  {\text{Now,}} \hfill \\ \end{gathered} \]


\[\begin{gathered}  {\text{(I  +  A)(I  +  A)(I  +  A)  =  (I  +  A)(I  +  3A)}} \hfill \\   \Rightarrow {\text{ (I  +  A)(I  +  A)(I  +  A)  =  }}{{\text{I}}^2}{\text{  +  3AI  +  AI  +  3}}{{\text{A}}^2} \hfill \\   \Rightarrow {\text{ (I  +  A)(I  +  A)(I  +  A)  = }}{{\text{I}}^2}{\text{  +  4AI  +  3A}} \hfill \\   \Rightarrow {\text{ (I  +  A)(I  +  A)(I  +  A)  =  I  +  7A}} \hfill \\   \Rightarrow {\text{ (I  +  A}}{{\text{)}}^3}{\text{  =  7A  +  I}} \hfill \\ \end{gathered} \]


48. If \[A, B\] are square matrices of same order and \[{\text{B}}\] is a skew symmetric matrix, then show that \[A'BA\] is skew-symmetric.

Ans: Given: Matrices \[{\text{A, B and B'  =  }} - {\text{ B}}{\text{.}}\]


Use transpose identities of matrix.


\[\begin{gathered}  {\text{(A'BA)'   =  A'B'A}} \hfill \\   \Rightarrow {\text{ (A'BA)'  =  A'(}} - {\text{ B)A }} \hfill \\   \Rightarrow {\text{ (A'BA)'  =  }} - {\text{ A'BA}} \hfill \\  \therefore {\text{ A'BA is skew - symmetric}}{\text{.}} \hfill \\ \end{gathered} \]

Long Answer Type Questions.

49. If \[AB  =  BA\]for any two square matrices, then prove by mathematical induction that \[{(AB)^n}  =  {A^n}{B^n}.\]

Ans: Given: \[{\text{AB  =  BA}}{\text{.}}\]


Consider \[{\text{P(n) and P(k)}}\]be true. Then, prove \[{\text{P(k  +  1)}}\] is true.


\[\begin{gathered} {\text{P(n) : (AB}}{{\text{)}}^{\text{n}}}{\text{  =  }}{{\text{A}}^{\text{n}}}{{\text{B}}^{\text{n}}} \hfill \\  {\text{P(1) : (AB}}{{\text{)}}^1}{\text{  =  }}{{\text{A}}^1}{{\text{B}}^1} \hfill \\ \end{gathered} \]


\[\begin{gathered}   \Rightarrow {\text{ P(1) : AB  =  AB}} \hfill \\  \therefore {\text{  P(1) is true}}{\text{.}} \hfill \\  {\text{Now,}} \hfill \\  {\text{P(k) : (AB}}{{\text{)}}^{\text{k}}}{\text{  =  }}{{\text{A}}^{\text{k}}}{{\text{B}}^{\text{k}}} \hfill \\  \therefore {\text{ P(k) is true}}{\text{.}} \hfill \\  {\text{also,}} \hfill \\  {\text{P(k  +  1) : (AB}}{{\text{)}}^{{\text{k  +  1}}}}{\text{  =  }}{{\text{A}}^{{\text{k  +  1}}}}{{\text{B}}^{{\text{k  +  1}}}} \hfill \\  {\text{P(k  +  1) : (AB}}{{\text{)}}^{\text{k}}}{\text{(AB)  =  }}{{\text{A}}^{{\text{k  +  1}}}}{{\text{B}}^{{\text{k  +  1}}}} \hfill \\  {\text{P(k  +  1) : }}{{\text{A}}^{\text{k}}}{{\text{B}}^{\text{k}}}{\text{(BA)  =  }}{{\text{A}}^{{\text{k  +  1}}}}{{\text{B}}^{{\text{k  +  1}}}} \hfill \\  {\text{P(k  +  1) : }}{{\text{A}}^{{\text{k  +  1}}}}{\text{.}}{{\text{B}}^{{\text{k  +  1}}}}{\text{  =  }}{{\text{A}}^{{\text{k  +  1}}}}{{\text{B}}^{{\text{k  +  1}}}} \hfill \\  {\text{P(k  +  1) : (AB}}{{\text{)}}^{{\text{k  +  1}}}}{\text{  =  }}{{\text{A}}^{{\text{k  + 1}}}}{{\text{B}}^{{\text{k  +  1}}}} \hfill \\ \therefore {\text{ P(k  +  1) is true for all n }} \in {\text{ N, where P(k) is true}}{\text{.}} \hfill \\{\text{By mathematical induction (AB)  =  }}{{\text{A}}^{\text{n}}}{{\text{B}}^{\text{n}}}{\text{ is true for all n }} \in {\text{ N}}{\text{.}} \hfill \\ \end{gathered} \]


50. Find \[x, y  and z, if A  =  \left[ {\begin{array}{*{20}{c}}  0&{2y}&z \\   x&y&{ -  z} \\   x&{ -  y}&z \end{array}} \right] satisfies A'  =  {A^{ -  1}}.\]

Ans: Given: Matrix \[{\text{A and A'  =  }}{{\text{A}}^{ - {\text{ 1}}}}.\]


First, find transpose matrix. Then, use \[{\text{AA'  =  I}}{\text{.}}\]


\[\begin{gathered}  {\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  0&{2{\text{y}}}&{\text{z}} \\   {\text{x}}&{\text{y}}&{ - {\text{ z}}} \\   {\text{x}}&{ - {\text{ y}}}&{\text{z}}  \end{array}} \right]{\text{ and A'  =  }}\left[ {\begin{array}{*{20}{c}} 0&{\text{x}}&{\text{x}} \\   {2{\text{y}}}&{\text{y}}&{ - {\text{ y}}} \\   {\text{z}}&{ - {\text{ z}}}&{\text{z}} \end{array}} \right] \hfill \\  {\text{A'  =  }}{{\text{A}}^{ - {\text{ 1}}}} \hfill \\   \Rightarrow {\text{ AA'  =  A}}{{\text{A}}^{ - {\text{ 1}}}} \hfill \\   \Rightarrow {\text{ AA'  =  I}} \hfill \\ \end{gathered} \] \[ \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  0&{2{\text{y}}}&{\text{z}} \\   {\text{x}}&{\text{y}}&{ - {\text{ z}}} \\   {\text{x}}&{ - {\text{ y}}}&{\text{z}} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&{\text{x}}&{\text{x}} \\   {2{\text{y}}}&{\text{y}}&{ - {\text{ y}}} \\   {\text{z}}&{ - {\text{ z}}}&{\text{z}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&1&0 \\   0&0&1 \end{array}} \right]\]\[\begin{gathered}   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  {4{{\text{y}}^2}{\text{  + }}{{\text{z}}^2}}&{{\text{2}}{{\text{y}}^2}{\text{ }} - {\text{ }}{{\text{z}}^2}}&{ - {\text{2}}{{\text{y}}^2}{\text{  +  }}{{\text{z}}^2}} \\   {{\text{2}}{{\text{y}}^2}{\text{ }} - {\text{ }}{{\text{z}}^2}}&{{{\text{x}}^2}{\text{  +  }}{{\text{y}}^2}{\text{  +  }}{{\text{z}}^2}}&{{{\text{x}}^2}{\text{ }} - {\text{ }}{{\text{y}}^2}{\text{ }} - {\text{ }}{{\text{z}}^2}} \\   { - {\text{ 2}}{{\text{y}}^2}{\text{  +  }}{{\text{z}}^2}}&{{{\text{x}}^2}{\text{ }} - {\text{ }}{{\text{y}}^2}{\text{ }} - {\text{ }}{{\text{z}}^2}}&{{{\text{x}}^2}{\text{  +  }}{{\text{y}}^2}{\text{  +  }}{{\text{z}}^2}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&1&0 \\   0&0&1 \end{array}} \right] \hfill \\   \Rightarrow {\text{ 2}}{{\text{y}}^2}{\text{ }} - {\text{ }}{{\text{z}}^2}{\text{  =  0 or 2}}{{\text{y}}^2}{\text{  =  }}{{\text{z}}^2} \hfill \\   \Rightarrow {\text{ }}4{{\text{y}}^2}{\text{  +  }}{{\text{z}}^2}{\text{  =  1}} \hfill \\   \Rightarrow {\text{ 2}}{{\text{z}}^2}{\text{  +  }}{{\text{z}}^2}{\text{  =  1}} \hfill \\   \Rightarrow {\text{ z  =  }} \pm {\text{ }}\frac{1}{{\sqrt 3 }} \hfill \\  \therefore {\text{ }}{{\text{y}}^2}{\text{  =  }}\frac{{{{\text{z}}^2}}}{2} \hfill \\   \Rightarrow {\text{ y  =  }} \pm {\text{ }}\frac{{\text{1}}}{{\sqrt 6 }} \hfill \\  {\text{now,}} \hfill \\  {\text{ }}{{\text{x}}^2}{\text{  +  }}{{\text{y}}^2}{\text{  +  }}{{\text{z}}^2}{\text{  =  1}} \hfill \\   \Rightarrow {\text{ }}{{\text{x}}^2}{\text{  =  1 }} - {\text{ }}{{\text{y}}^2}{\text{ }} - {\text{ }}{{\text{z}}^2} \hfill \\   \Rightarrow {\text{ }}{{\text{x}}^2}{\text{  =  1 }} - {\text{ }}\frac{1}{6}{\text{ }} - {\text{ }}\frac{1}{3} \hfill \\   \Rightarrow {\text{ x  =  }} \pm {\text{ }}\frac{1}{{\sqrt 2 }}{\text{ }} \hfill \\  \therefore {\text{ x  =  }} \pm {\text{ }}\frac{1}{{\sqrt 2 }}{\text{ }},{\text{ y  =  }} \pm {\text{ }}\frac{{\text{1}}}{{\sqrt 6 }}{\text{ and z  =  }} \pm {\text{ }}\frac{1}{{\sqrt 3 }}. \hfill \\ \end{gathered} \]


51. If possible, using elementary row transformations, find the inverse of the following matrices.

\[(i)\left[ {\begin{array}{*{20}{c}}  2&{ -  1}&3 \\   { -  5}&3&1 \\   { -  3}&2&3 \end{array}} \right]\]

Ans: Given: Matrices.


For inverse of matrices use \[{\text{A  =  IA}}{\text{.}}\]


Here,

\[\begin{gathered}  {\text{A  =  IA}} \hfill \\   \Rightarrow \;\left[ {\begin{array}{*{20}{c}}  2&{ - {\text{ 1}}}&3 \\   { - {\text{ 5}}}&3&1 \\   { - {\text{ }}3}&2&3 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&1&0 \\   0&0&1 \end{array}} \right]{\text{A}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&{ - {\text{ 1}}}&3 \\   { - {\text{ 3}}}&2&4 \\   { - {\text{ }}3}&2&3 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   1&1&0 \\   0&0&1 \end{array}} \right]{\text{A        [}}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{  +  }}{{\text{R}}_1}{\text{]}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&{ - {\text{ 1}}}&3 \\   { - {\text{ 3}}}&2&4 \\   0&0&{ - {\text{ 1}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   1&1&0 \\   { - {\text{ 1}}}&{ - {\text{ 1}}}&1 \end{array}} \right]{\text{A        [}}{{\text{R}}_3}{\text{ }} \to {\text{ }}{{\text{R}}_3}{\text{ }} - {\text{ }}{{\text{R}}_2}{\text{]}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&{\text{1}}&7 \\   { - {\text{ 3}}}&2&4 \\   0&0&{ - {\text{ 1}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  2&1&0 \\   1&1&0 \\   { - {\text{ 1}}}&{ - {\text{ 1}}}&1 \end{array}} \right]{\text{A        [}}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{  +  }}{{\text{R}}_1}{\text{]}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&{\text{1}}&7 \\   0&{ - {\text{ 1}}}&{ - {\text{ 17}}} \\   0&0&{ - {\text{ 1}}} \end{array}} \right]{\text{  = }}\left[ {\begin{array}{*{20}{c}}  2&1&0 \\   { - {\text{ 5}}}&{ - {\text{ 2}}}&0 \\   { - {\text{ 1}}}&{ - {\text{ 1}}}&1 \end{array}} \right]{\text{A        [}}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{  -  3}}{{\text{R}}_1}{\text{]}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&0&{ - {\text{ 10}}} \\   0&{ - {\text{ 1}}}&{ - {\text{ 17}}} \\   0&0&1 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 3}}}&{ - {\text{ }}1}&0 \\   { - {\text{ 5}}}&{ - {\text{ 2}}}&0 \\   {\text{1}}&{\text{1}}&{ - {\text{ }}1} \end{array}} \right]{\text{A        [}}{{\text{R}}_1}{\text{ }} \to {\text{ }}{{\text{R}}_1}{\text{  +  }}{{\text{R}}_2}{\text{ and }}{{\text{R}}_3}{\text{ }} \to {\text{ }} - {\text{ 1}}{\text{.}}{{\text{R}}_3}{\text{]}} \hfill \\ \end{gathered} \]\[\begin{gathered}   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ 1}}}&0&{\text{0}} \\   0&{ - {\text{ 1}}}&0 \\   0&0&1 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  7&9&{ - {\text{ 10}}} \\   {12}&{15}&{ - {\text{ 17}}} \\   {\text{1}}&{\text{1}}&{ - {\text{ }}1} \end{array}} \right]{\text{A        [}}{{\text{R}}_1}{\text{ }} \to {\text{ }}{{\text{R}}_1}{\text{  +  10}}{{\text{R}}_3}{\text{ and }}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{  +  17}}{{\text{R}}_3}{\text{]}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  {\text{1}}&0&{\text{0}} \\   0&{\text{1}}&0 \\   0&0&1 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ }}7}&{ - {\text{ }}9}&{{\text{10}}} \\   { - {\text{ }}12}&{ - {\text{ }}15}&{{\text{17}}} \\   {\text{1}}&{\text{1}}&{ - {\text{ }}1} \end{array}} \right]{\text{A        [}}{{\text{R}}_1}{\text{ }} \to {\text{ }} - {\text{ 1}}{\text{.}}{{\text{R}}_1}{\text{ and }}{{\text{R}}_2}{\text{ }} \to {\text{ }} - {\text{ 1}}{\text{.}}{{\text{R}}_2}{\text{]}} \hfill \\ \end{gathered} \]

\[\therefore {\text{ Inverse of A  =  }}\left[ {\begin{array}{*{20}{c}}  { - {\text{ }}7}&{ - {\text{ }}9}&{{\text{10}}} \\   { - {\text{ }}12}&{ - {\text{ }}15}&{{\text{17}}} \\   {\text{1}}&{\text{1}}&{ - {\text{ }}1} \end{array}} \right].\]


\[(ii)\left[ {\begin{array}{*{20}{c}}  2&3&{ -  3} \\   { -  1}&{ -  2}&2 \\   1&1&{ -  1} \end{array}} \right]\]

Ans: Given: Matrices.


For inverse of matrices use \[{\text{A  =  IA}}{\text{.}}\]


Here,

\[\begin{gathered}  {\text{A  =  IA}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&3&{ - {\text{ }}3} \\   { - {\text{ 1}}}&{ - {\text{ 2}}}&2 \\   1&1&{ - {\text{ 1}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&1&0 \\   0&0&1 \end{array}} \right]{\text{A}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  0&1&{ - {\text{ 1}}} \\   0&{ - {\text{ 1}}}&1 \\   1&1&{ - {\text{ 1}}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&{ - {\text{ 2}}} \\    0&1&1 \\   0&0&1 \end{array}} \right]{\text{A     [}}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{  +  }}{{\text{R}}_3}{\text{ and }}{{\text{R}}_1}{\text{ }} \to {\text{ }}{{\text{R}}_1}{\text{ }} - {\text{ 2}}{{\text{R}}_3}] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  0&1&{ - {\text{ 1}}} \\   0&0&0 \\   1&1&{\text{1}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&{ - {\text{ 2}}} \\   2&1&{ - \;{\text{2}}} \\   0&0&1 \end{array}} \right]{\text{A        [}}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{  +  }}{{\text{R}}_1}] \hfill \\ \end{gathered} \]


\[(iii)\left[ {\begin{array}{*{20}{c}}  2&0&{ -  1} \\   5&1&0 \\   0&0&3 \end{array}} \right]\]

Ans: Given: Matrices.


For inverse of matrices use \[{\text{A  =  IA}}{\text{.}}\]


Here,

\[\begin{gathered}  {\text{A  =  IA}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&0&{ - {\text{ 1}}} \\   {\text{5}}&1&0 \\   0&0&3 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&1&0 \\   0&0&1 \end{array}} \right]{\text{A}} \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&0&{ - {\text{ 1}}} \\   3&1&1 \\   0&1&3 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   { - \;{\text{1}}}&1&0 \\   0&0&1 \end{array}} \right]{\text{A         [}}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{ }} - {\text{ }}{{\text{R}}_1}] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&0&{ - {\text{ 1}}} \\   1&1&2 \\   2&1&2 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   { - \;2}&1&0 \\   1&0&1 \end{array}} \right]{\text{A         [}}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{ }} - {\text{ }}{{\text{R}}_1}{\text{ and }}{{\text{R}}_3}{\text{ }} \to {\text{ }}{{\text{R}}_3}{\text{  +  }}{{\text{R}}_1}] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&0&{ - {\text{ 1}}} \\   0&1&{\frac{5}{2}} \\   4&1&3 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   { - \;\frac{5}{2}}&1&0 \\   1&0&1 \end{array}} \right]{\text{A         [}}{{\text{R}}_3}{\text{ }} \to {\text{ }}{{\text{R}}_3}{\text{  +  }}{{\text{R}}_1}{\text{ and }}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{ }} - {\text{ }}\frac{1}{2}{{\text{R}}_1}] \hfill \\ \end{gathered} \]


\[\begin{gathered}   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&0&{ - {\text{ 1}}} \\   0&1&{\frac{5}{2}} \\   0&0&3 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   { - \;\frac{5}{2}}&1&0 \\   0&0&1 \end{array}} \right]{\text{A         [}}{{\text{R}}_3}{\text{ }} \to {\text{ }}{{\text{R}}_3}{\text{ }} - {\text{ 2}}{{\text{R}}_1}] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  2&0&{ - {\text{ 1}}} \\   0&1&{\frac{5}{2}} \\   0&0&{\frac{1}{2}} \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   { - \;\frac{5}{2}}&1&0 \\   {\frac{5}{2}}&{ - {\text{ 1}}}&1 \end{array}} \right]{\text{A[}}{{\text{R}}_3}{\text{ }} \to {\text{ }}{{\text{R}}_3}{\text{ }} - {\text{ }}{{\text{R}}_2}] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&0&{\frac{{ - {\text{ 1}}}}{2}} \\   0&1&{\frac{5}{2}} \\   0&0&1  \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  {\frac{1}{2}}&0&0 \\   { - \;\frac{5}{2}}&1&0 \\   5&{ - {\text{ 2}}}&2 \end{array}} \right]{\text{A[}}{{\text{R}}_1}{\text{ }} \to {\text{ }}\frac{1}{2}{{\text{R}}_1}{\text{  and }}{{\text{R}}_3}{\text{ }} \to {\text{ 2}}{{\text{R}}_3}] \hfill \\   \Rightarrow {\text{ }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&1&0 \\   0&0&1 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  3&{ - {\text{ 1}}}&1 \\   { - \;15}&6&5 \\   5&{ - {\text{ 2}}}&{ - {\text{ }}2} \end{array}} \right]{\text{A         [}}{{\text{R}}_1}{\text{ }} \to {\text{ }}{{\text{R}}_1}{\text{  +  }}\frac{1}{2}{{\text{R}}_3}{\text{  and }}{{\text{R}}_2}{\text{ }} \to {\text{ }}{{\text{R}}_2}{\text{ }} - {\text{  }}\frac{5}{2}{{\text{R}}_3}] \hfill \\  \therefore {\text{ Inverse of A is }}\left[ {\begin{array}{*{20}{c}}  3&{ - {\text{ 1}}}&1 \\   { - \;15}&6&{ - \,5} \\   5&{ - {\text{ 2}}}&{ - {\text{ }}2} \end{array}} \right]. \hfill \\ \end{gathered} \]


52. Express the matrix \[\left[ {\begin{array}{*{20}{c}}  2&3&1 \\   1&{ -  1}&5 \\   4&1&{ -  2} \end{array}} \right]\] as the sum of symmetric and skew-symmetric matrix.

Ans : Given: Matrix \[{\text{A}}{\text{.}}\]


Sum of symmetric and skew-symmetric matrix is given by \[{\text{A  =  }}\frac{{{\text{A  +  A'}}}}{2}{\text{  +  }}\frac{{{\text{A }} - {\text{ A'}}}}{2}.\]Where \[\frac{{{\text{A  +  A'}}}}{2}\]is symmetric and \[\frac{{{\text{A }} - {\text{ A'}}}}{2}\]is skew-symmetric matrix.


\[\begin{gathered} {\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  2&3&1 \\   1&{ - {\text{ 1}}}&5 \\   4&1&{ - {\text{ }}2} \end{array}} \right]{\text{ and A'  =  }}\left[ {\begin{array}{*{20}{c}}  2&1&4 \\   3&{ - {\text{ 1}}}&1 \\   1&2&2 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}\frac{{{\text{A  +  A'}}}}{2}{\text{  =  }}\frac{1}{2}\left[ {\begin{array}{*{20}{c}}  4&4&5 \\   4&{ - {\text{ 2}}}&3 \\   5&3&4 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}\frac{{{\text{A  +  A'}}}}{2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  2&2&{\frac{5}{2}} \\   2&{ - {\text{ 1}}}&{\frac{3}{2}} \\   {\frac{5}{2}}&{\frac{3}{2}}&2 \end{array}} \right] \hfill \\  {\text{also,}} \hfill \\  \frac{{{\text{A }} - {\text{ A'}}}}{2}{\text{  =  }}\frac{1}{2}\left[ {\begin{array}{*{20}{c}}  0&2&{ - {\text{ 3}}} \\   { - {\text{ 2}}}&0&1 \\   3&{ - {\text{ 1}}}&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}\frac{{{\text{A }} - {\text{ A'}}}}{2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&1&{\frac{{ - {\text{ 3}}}}{2}} \\   { - {\text{ 1}}}&0&{\frac{1}{2}} \\   {\frac{3}{2}}&{\frac{{ - {\text{ 1}}}}{2}}&0 \end{array}} \right] \hfill \\  \therefore {\text{ }}\frac{{{\text{A  +  A'}}}}{2}{\text{  +  }}\frac{{{\text{A }} - {\text{ A'}}}}{2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  2&2&{\frac{5}{2}} \\   2&{ - {\text{ 1}}}&{\frac{3}{2}} \\   {\frac{5}{2}}&{\frac{3}{2}}&2 \end{array}} \right]{\text{  +  }}\left[ {\begin{array}{*{20}{c}}  0&1&{\frac{{ - {\text{ 3}}}}{2}} \\   { - {\text{ 1}}}&0&{\frac{1}{2}} \\   {\frac{3}{2}}&{\frac{{ - {\text{ 1}}}}{2}}&0 \end{array}} \right]. \hfill \\ \end{gathered} \]

Objective Type Questions.

53. The matrix \[P  =  \left[ {\begin{array}{*{20}{c}}  0&0&4 \\   0&4&0 \\   4&0&0 \end{array}} \right]\] is a

(A)Square matrix

(B)Diagonal matrix

(C)Unit matrix

(D)None of these

Ans: Given: Matrix \[{\text{P}}{\text{.}}\]

Matrix can be square, diagonal, unit depending on the order and elements of matrix.


Since, the order of matrix \[{\text{P}}\] is \[3{\text{ }} \times {\text{ 3}}{\text{.}}\] The number of rows and columns are same.


Therefore, matrix \[{\text{P}}\] is square matrix.


Correct Answer. A


54. Total number of possible matrices of order \[3  \times  3\] with each entry \[2 or 0 is,\]

(A)\[9\]

(B)\[27\]

(C)\[81\]

(D)\[512\]

Ans: Given: Order of matrix.


Total number of elements in matrices is \[{\text{n}}{\text{.}}\]Then, total number of matrices with any two entries will be \[{{\text{2}}^{\text{n}}}.\]


Therefore, total number of possible matrices of order \[3{\text{ }} \times {\text{ 3}}\] with each entry \[2{\text{ or 0 is }}{{\text{2}}^9}{\text{ or 512}}{\text{.}}\]


Correct Answer: D


55. \[\left[ {\begin{array}{*{20}{c}}  {2x  +  y}&{4x} \\   {5x  -  7}&{4x} \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  7&{7y  -  13} \\   y&{x  +  6}  \end{array}} \right],\]then the value of \[x  +  y\] is

(A)\[x  =  3, y  =  1\]

(B)\[x  =  2, y  =  3\]

(C)\[x  =  2, y  =  4\]

(D)\[x  =  3, y  =  3\]

Ans:Given: Matrix equation.


Use equality of two matrices. Then, compare the elements.


\[\begin{gathered}  {\text{Here,}} \hfill \\  {\text{4x  =  x  +  6 or x  =  2}} \hfill \\  {\text{also,}} \hfill \\  {\text{4x  =  7y }} - {\text{ 13}} \hfill \\   \Rightarrow {\text{ y  =  3}} \hfill \\  \therefore {\text{ x  +  y   =  2  +  3}} \hfill \\  {\text{x  +  y  =  5}} \hfill \\ \end{gathered} \]


56. If \[A  =  \frac{1}{\pi }\left[ {\begin{array}{*{20}{c}}  {si{n^{ -  1}}(x\pi )}&{ta{n^{ -  1}}\left( {\frac{x}{\pi }} \right)} \\   {si{n^{ -  1}}\left( {\frac{x}{\pi }} \right)}&{co{t^{ - \,1}}\left( {\pi x} \right)} \end{array}} \right] and B  =  \frac{1}{\pi }\left[ {\begin{array}{*{20}{c}}  { -  co{s^{ -  1}}(x\pi )}&{ta{n^{ -  1}}\left( {\frac{x}{\pi }} \right)} \\   {si{n^{ -  1}}\left( {\frac{x}{\pi }} \right)}&{ -  ta{n^{ - \,1}}\left( {\pi x} \right)}  \end{array}} \right], then A  -  B\]is equal to 

(A)\[{\text{I}}\]

(B)\[{\text{0}}\]

(C)\[2I\]

(D)\[\frac{1}{2}I\]

Ans: Use matrix algebra to fins difference of two matrices.


\[\begin{gathered}  {\text{A }} - {\text{ B  =  }}\left[ {\begin{array}{*{20}{c}}  {\frac{{\text{1}}}{{\text{\pi }}}{\text{[si}}{{\text{n}}^{{\text{ -  1}}}}{\text{(x\pi )  +  co}}{{\text{s}}^{{\text{ - }}\,{\text{1}}}}{\text{(x\pi )]}}}&{\frac{{\text{1}}}{{\text{\pi }}}\left[ {{\text{ta}}{{\text{n}}^{{\text{ -  1}}}}\left( {\frac{{\text{x}}}{{\text{\pi }}}} \right){\text{ }} - {\text{ ta}}{{\text{n}}^{{\text{ -  1}}}}\left( {\frac{{\text{x}}}{{\text{\pi }}}} \right)} \right]} \\   {\frac{{\text{1}}}{{\text{\pi }}}\left[ {{\text{si}}{{\text{n}}^{{\text{ -  1}}}}\left( {\frac{{\text{x}}}{{\text{\pi }}}} \right){\text{ }} - {\text{ si}}{{\text{n}}^{{\text{ -  1}}}}\left( {\frac{{\text{x}}}{{\text{\pi }}}} \right)} \right]}&{\frac{{\text{1}}}{{\text{\pi }}}{\text{[co}}{{\text{t}}^{{\text{ - }}\,{\text{1}}}}\left( {{\text{\pi x}}} \right){\text{  +  ta}}{{\text{n}}^{{\text{ -  1}}}}{\text{(\pi x)]}}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ A }} - {\text{ B  =  }}\left[ {\begin{array}{*{20}{c}}  {\frac{1}{2}}&0 \\   0&{\frac{1}{2}} \end{array}} \right] \hfill \\   \Rightarrow {\text{ A }} - {\text{ B  =  }}\frac{1}{2}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right] \hfill \\  \therefore {\text{ A }} - {\text{ B  =  }}\frac{1}{2}{\text{I}} \hfill \\ \end{gathered} \]


Correct Answer. D


57.If \[A and B\] are two matrices of the order\[3  \times  m and 3  \times  n, respectively and m  =  n,\] then order of matrix \[(5A  -  2B) is\]

(A)\[m  \times  3\]

(B)\[3  \times  3\]

(C)\[m  \times  n\]

(D)\[3  \times  n\]

Ans: Given: Order of matrices \[{\text{A and B}}{\text{.}}\]


Matrix of same order can be added or subtracted.


For, \[{\text{m  =  n}}{\text{.}}\] The order of matrix \[{\text{A and B}}\] can be \[3{\text{}} \times {\text{ m or 3 }} \times {\text{ n}}{\text{.}}\]


Therefore, the order of matrix \[(5{\text{A }} - {\text{ 2B) is 3 }} \times {\text{n}}{\text{.}}\]


Correct Answer. D


58. If \[A  =  \left[ {\begin{array}{*{20}{c}}  0&1 \\   1&0 \end{array}} \right], then {A^2}\] is equal to

\[(A)\left[ {\begin{array}{*{20}{c}}  0&1 \\   1&0 \end{array}} \right]\]

\[(B)\left[ {\begin{array}{*{20}{c}}  1&0 \\   1&0 \end{array}} \right]\]

\[(C)\left[ {\begin{array}{*{20}{c}}  0&1 \\   0&1 \end{array}} \right]\]

\[(D)\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right]\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]

Use matrix multiplication \[{{\text{A}}^2}{\text{  =  A}}{\text{.A}}{\text{.}}\]


\[\begin{gathered}  {{\text{A}}^2}{\text{  =  A}}{\text{.A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&1 \\   1&0  \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&1 \\   1&0  \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\    0&1 \end{array}} \right] \hfill \\ \end{gathered} \]


Correct Answer: D


59. If matrix  is equal to

(A)\[{\text{I}}\]

(B)\[A\]

(C)\[0\]

(D)None of these

Ans: Given: Matrix \[{\text{A  =  }}{\left[ {{{\text{a}}_{{\text{ij}}}}} \right]_{2{\text{ }} \times {\text{ 2}}}}.\]


Consider a matrix \[{\text{A}}\] according to given conditions. Then, use \[{{\text{A}}^2}{\text{  =  A}}{\text{.A}}{\text{.}}\]


\[\begin{gathered}  {\text{Let,}} \hfill \\  {\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  0&1 \\   1&0 \end{array}} \right] \hfill \\  {{\text{A}}^2}{\text{  =  A}}{\text{.A}} \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&1 \\   1&0  \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&1 \\   1&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&1 \end{array}} \right] \hfill \\   \Rightarrow {\text{ }}{{\text{A}}^2}{\text{  =  I}} \hfill \\ \end{gathered} \]


Correct Answer: A


60. The matrix \[\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&2&0 \\   0&0&4 \end{array}} \right]\] is  a

(A)Identity matrix

(B)Symmetric matrix

(C)Skew-symmetric matrix

(D)None of these

Ans: Given: Matrix.


Take transpose of matrix. For symmetric matrix \[{\text{A'  =  A}}{\text{.}}\]


\[{\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&2&0 \\   0&0&4 \end{array}} \right]\]


\[\begin{gathered}  {\text{A'  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&0 \\   0&2&0 \\   0&0&4 \end{array}} \right] \hfill \\   \Rightarrow {\text{ A'  =  A}}{\text{.}} \hfill \\ \end{gathered} \]


Correct Answer: B


61. The matrix \[\left[ {\begin{array}{*{20}{c}}  0&{ -  5}&8 \\   5&0&{12} \\   { -  8}&{ -  12}&0 \end{array}} \right]\] is a

(A)Diagonal matrix

(B)Symmetric matrix

(C)Skew-symmetric matrix

(D)Scalar matrix

Ans: Given: Matrix.


Take transpose of matrix. For skew-symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


\[\begin{gathered}  {\text{B  =  }}\left[ {\begin{array}{*{20}{c}}  0&{ - {\text{ 5}}}&8 \\   5&0&{12} \\   { - {\text{ 8}}}&{ - {\text{ 12}}}&0 \end{array}} \right] \hfill \\  {\text{B'  =  }}\left[ {\begin{array}{*{20}{c}}  0&{\text{5}}&{ - {\text{ }}8} \\   { - {\text{ }}5}&0&{ - {\text{ }}12} \\   {\text{8}}&{{\text{12}}}&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ B'  =  }} - {\text{ B}}{\text{.}} \hfill \\ \end{gathered} \]


Correct Answer: C


62. If \[{\text{A}}\] is matrix of order \[m  \times  n and B\] is a matrix such that \[AB' and B'A\] are both defined, then order of matrix \[{\text{B}}\] is

(A)\[m  \times  m\]

(B)\[n  \times  n\]

(C)\[n  \times  m\]

(D)\[m  \times  n\]

Ans: Given: Matrix \[{\text{A and B}}{\text{.}}\]


Consider matrix \[{\text{B}}\] with order \[{\text{p }} \times {\text{ q}}{\text{.}}\] Then, check where \[{\text{AB' and B'A}}\] are defined.


\[\begin{gathered}  {\text{A  =  [}}{{\text{a}}_{{\text{ij}}}}{]_{{\text{m }} \times {\text{n}}}}{\text{ and B  =  [}}{{\text{b}}_{{\text{ij}}}}{]_{{\text{p }} \times {\text{ q}}}} \hfill \\  \therefore {\text{ B'  =  [}}{{\text{b}}_{{\text{ij}}}}{]_{{\text{q }} \times {\text{ p}}}} \hfill \\  {\text{for n  =  q, AB' is defined}}{\text{.}} \hfill \\  {\text{for p  =  m, B'A is defined}}{\text{.}} \hfill \\  \therefore {\text{ Order of matrix B is m }} \times {\text{ n}}{\text{.}} \hfill \\ \end{gathered} \]


Correct Answer: D


63. If \[A and B\] are matrices of same order, then \[(AB'  -  BA')\] is a

(A)Skew-symmetric matrix

(B)Null matrix

(C)Symmetric matrix

(D)Unit matrix

Ans: Given: Matrices \[{\text{A and B}}\] of same order.


Take transpose of the matrix \[({\text{AB' }} - {\text{ BA')}}{\text{.}}\]


\[\begin{gathered}  {\text{X  =  }}({\text{AB' }} - {\text{ BA')}} \hfill \\ \therefore {\text{X' =  }}({\text{AB' }} - {\text{ BA')}} \hfill \\   \Rightarrow {\text{ X'  =  (AB')' }} - {\text{ (BA')'}} \hfill \\  \Rightarrow {\text{ X'  =  (B')'A' }} - {\text{ (A')'B'}} \hfill \\   \Rightarrow {\text{ X' =  BA' }} - {\text{ AB'}} \hfill \\   \Rightarrow {\text{ X'  =  }} - {\text{ (AB' }} - {\text{ BA')}} \hfill \\   \Rightarrow {\text{ X'  =  }} - {\text{ X}} \hfill \\  \therefore {\text{ (AB' }} - {\text{ BA') is skew - symmetric matrix}}{\text{.}} \hfill \\ \end{gathered} \]


Correct Answer: A


64. If \[{\text{A}}\] is a square matrix such that \[{A^2}  =  I, then {(A  -  I)^3}  +  {(A  +  I)^3}  -  7A\] is equal to

(A)\[A\]

(B)\[I  -  A\]

(C)\[I  +  A\]

(D)\[3A\]

Ans: Given: Matrix \[{\text{A and }}{{\text{A}}^2}{\text{  =  I}}{\text{.}}\]


Use \[{{\text{a}}^3}{\text{  +  }}{{\text{b}}^3}{\text{  =  (a  +  b)(}}{{\text{a}}^2}{\text{  +  }}{{\text{b}}^2}{\text{ }} - {\text{ ab)}}{\text{.}}\]


\[\begin{gathered}  {{\text{(A }} - {\text{ I)}}^3}{\text{  +  (A  +  I}}{{\text{)}}^3}{\text{ }} - {\text{ 7A  =  [(A }} - {\text{ I)  +  (A  +  I)\{ (A }} - {\text{ I}}{{\text{)}}^2}{\text{  +  (A  + I}}{{\text{)}}^2}{\text{ }} - {\text{ (A }} - {\text{ I)(A  +  I)\} ] }} - {\text{ 7A}} \hfill \\   \Rightarrow {\text{ (A }} - {\text{ I}}{{\text{)}}^3}{\text{  +  (A  +  I}}{{\text{)}}^3}{\text{ }} - {\text{ 7A  =  [(2A)\{ }}{{\text{A}}^2}{\text{  +  }}{{\text{I}}^2}{\text{ }} - {\text{ 2AI  + }}{{\text{A}}^2}{\text{  +  }}{{\text{I}}^2}{\text{  +  AI }} - {\text{ (}}{{\text{A}}^2}{\text{ }} - {\text{ }}{{\text{I}}^2}{\text{)\} ] }} - {\text{ 7A}} \hfill \\   \Rightarrow {\text{ (A }} - {\text{ I}}{{\text{)}}^3}{\text{  +  (A  +  I}}{{\text{)}}^3}{\text{ }} - {\text{ 7A  =  2A[I  +  }}{{\text{I}}^2}{\text{  +  I  +  }}{{\text{I}}^2}{\text{ }} - {\text{ }}{{\text{A}}^2}{\text{  +  }}{{\text{I}}^2}{\text{] }} - {\text{ 7A}} \hfill \\   \Rightarrow {\text{ (A }} - {\text{ I}}{{\text{)}}^3}{\text{  +  (A  +  I}}{{\text{)}}^3}{\text{ }} - {\text{ 7A }} = {\text{ 2A[5I }} - {\text{ I] }} - {\text{ 7A}} \hfill \\   \Rightarrow {\text{ (A }} - {\text{ I}}{{\text{)}}^3}{\text{  +  (A  +  I}}{{\text{)}}^3}{\text{ }} - {\text{ 7A }} = {\text{ 8AI }} - {\text{ 7AI}} \hfill \\   \Rightarrow {\text{ (A }} - {\text{ I}}{{\text{)}}^3}{\text{  +  (A  +  I}}{{\text{)}}^3}{\text{ }} - {\text{ 7A }} = {\text{ AI}} \hfill \\  \therefore {\text{ (A }} - {\text{ I}}{{\text{)}}^3}{\text{  +  (A  +  I}}{{\text{)}}^3}{\text{ }} - {\text{ 7A }} = {\text{ A}} \hfill \\ \end{gathered} \]


Correct Answer: A


65. For any two matrices \[A and B,\] we have

(A)\[AB  =  BA\]

(B)

(C)\[AB  =  O\]

(D)None of these

Ans:Given: Matrices \[{\text{A and B}}{\text{.}}\]


First, find which conditions holds always true for matrices \[{\text{A and B}}{\text{.}}\]


The conditions \[{\text{AB  =  BA, AB }} \ne {\text{ BA, AB  =  O}}\] are not always true for two matrices \[{\text{A and B}}{\text{.}}\]


Correct Answer: D


66. On using elementary column operation  in the following matrix equation \[\left[ {\begin{array}{*{20}{c}}  1&{ -  3} \\   2&4 \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&{ -  1} \\   0&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  3&1 \\   2&4 \end{array}} \right],\] we have

\[(A)\left[ {\begin{array}{*{20}{c}}  1&{ -  5} \\   0&4 \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&{ -  1} \\   { -  2}&2 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  3&1 \\   2&4 \end{array}} \right]\]

\[(B)\left[ {\begin{array}{*{20}{c}}  1&{ -  5} \\   0&4 \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&{ -  1} \\   0&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  3&{ -  5} \\   0&2 \end{array}} \right]\]

\[(C)\left[ {\begin{array}{*{20}{c}}  1&{ -  5} \\   2&0 \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&{ -  3} \\   0&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  3&1 \\   { -  2}&4 \end{array}} \right]\]

\[(D)\left[ {\begin{array}{*{20}{c}}  1&{ -  5} \\   2&0 \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&{ -  1} \\ 0&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  3&{ -  5} \\   2&0 \end{array}} \right]\]

Ans: Given: Matrix equation.


Use the elementary column operation \[{{\text{C}}_2}{\text{ }} \to {\text{ }}{{\text{C}}_2}{\text{ }} - {\text{ 2}}{{\text{C}}_1}\] in matrix equation.


Applying \[{{\text{C}}_2}{\text{ }} \to {\text{ }}{{\text{C}}_2}{\text{ }} - {\text{ 2}}{{\text{C}}_1}\] on first product matrix of equation, we get


\[\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 5}}} \\   2&0 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 1}}} \\   0&1 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  3&{ - {\text{ 5}}} \\   2&0 \end{array}} \right]\]


Correct Answer: D


67. On using elementary row operation  in the following matrix equation \[\left[ {\begin{array}{*{20}{c}}  4&2 \\   3&3 \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&2 \\   0&3 \end{array}} \right]\left[{\begin{array}{*{20}{c}}  2&0 \\   1&1 \end{array}} \right],\] we have

\[(A)\left[ {\begin{array}{*{20}{c}}  { -  5}&{ -  7} \\   3&3 \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&{ -  7} \\   0&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&0 \\   1&1 \end{array}} \right]\]

\[(B)\left[ {\begin{array}{*{20}{c}}  { -  5}&{ -  7} \\   3&3 \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&2 \\   0&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  { -  1}&{ -  3} \\   1&1 \end{array}} \right]\]

\[(C)\left[ {\begin{array}{*{20}{c}}  { -  5}&{ -  7} \\   3&3 \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&2 \\   1&{ -  7} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&0 \\   1&1 \end{array}} \right]\]

\[(D)\left[ {\begin{array}{*{20}{c}}  4&2 \\   { -  5}&{ -  7} \end{array}} \right]  =  \left[ {\begin{array}{*{20}{c}}  1&2 \\   { -  3}&{ -  3} \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&0 \\   1&1 \end{array}} \right]\]

Ans: Given: Matrix equation.


Use the elementary row operation \[{{\text{R}}_1}{\text{ }} \to {\text{ }}{{\text{R}}_1}{\text{ }} - {\text{ 3}}{{\text{R}}_2}\] in matrix equation.


Applying \[{{\text{R}}_1}{\text{ }} \to {\text{ }}{{\text{R}}_1}{\text{ }} - {\text{ 3}}{{\text{R}}_2}\] on first product matrix of equation, we get


\[\left[ {\begin{array}{*{20}{c}}  { - {\text{ 5}}}&{ - {\text{ 7}}} \\   3&3 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  1&{ - {\text{ 7}}} \\   0&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  2&0 \\   1&1 \end{array}} \right]\]

Fill in the blanks:

68. _____ matrix is both symmetric and skew-symmetric matrix.

Ans: Given: Matrix is both symmetric and skew-symmetric matrix.


For symmetric matrix \[{\text{A'  =  A}}\]and for skew-symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


Consider a null matrix,

\[\begin{gathered}  {\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&0 \end{array}} \right] \hfill \\   \Rightarrow {\text{ A'  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&0 \end{array}} \right]{\text{ or }} - {\text{ }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&0 \end{array}} \right] \hfill \\  \therefore {\text{ A'  =  A and A'  =  }} - {\text{ A}}{\text{.}} \hfill \\ \end{gathered} \]


Therefore, null matrix is both symmetric and skew-symmetric matrix.


69. Sum of two skew-symmetric matrices is always ………. Matrix.

Ans: Sum of two skew-symmetric matrices is always skew-symmetric matrix. Consider two matrices\[{\text{A and B}}{\text{.}}\] Then,

\[\begin{gathered}  {\text{A'  =  }} - {\text{ A and B'  =  }} - {\text{ B}} \hfill \\   \Rightarrow {\text{ }} - {\text{ A }} - {\text{ B  =  }} - {\text{ (A  +  B)}}{\text{.}} \hfill \\ \end{gathered} \]


70. The negative of matrix is obtained by multiplying it by ……. .

Ans: Consider a matrix \[{\text{A}}{\text{.}}\] The negative of matrix is obtained by multiplying it by \[ - {\text{ 1}}{\text{.}}\]


\[\therefore {\text{ }} - {\text{ A  =  }} - {\text{ 1[A]}}{\text{.}}\]


71. The product of any matrix by the scalar …… is the null matrix.

Ans: Consider a matrix, \[{\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   2&4 \end{array}} \right].\]\[ \Rightarrow {\text{ 0}}{\text{.A  =  0}}\left[  {\begin{array}{*{20}{c}}  1&0 \\   2&4 \end{array}} \right]{\text{  =  0}}{\text{.}}\]


The product of any matrix by the scalar \[0\] is the null matrix.


72. A matrix which is not a square matrix is called a ……. Matrix.

Ans: Consider a matrix, \[{\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  1&0&2 \end{array}} \right].\]


The matrix which is not square is considered as rectangular matrix.


73. Matrix multiplication is ……. over addition

Ans: Consider three matrices \[{\text{A, B and C}}{\text{.}}\]


\[\begin{gathered}  1.{\text{ A(B  +  C)  =  AB  +  AC}} \hfill \\  {\text{2}}{\text{. (A  +  B)C  =  AC  +  BC}} \hfill \\ \end{gathered} \]


Therefore, matrix multiplication is distributive over addition.


74.If \[A\] is symmetric matrix, then \[{A^3}\] is a ……… matrix.

Ans:Given: Symmetric matrix \[{\text{A}}{\text{.}}\]


For symmetric matrix \[{\text{A'  =  A}}\] and for skew-symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


Here,

\[\begin{gathered}  {\text{A'  =  A}} \hfill \\  {\text{now, }}{{\text{A}}^3} \hfill \\  {\text{(}}{{\text{A}}^3})'{\text{  =  (A'}}{{\text{)}}^3} \hfill \\   \Rightarrow {\text{ (}}{{\text{A}}^3})'{\text{  =  }}{{\text{A}}^3} \hfill \\ \end{gathered} \]


Therefore, \[{{\text{A}}^3}\] is a symmetric matrix.


75. If \[A\] is a skew-symmetric matrix, then \[{A^2}\] is a ……… .

Ans: Given: \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


For symmetric matrix \[{\text{A'  =  A}}\] and for skew-symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


Here,

\[\begin{gathered}  {\text{A'  =  }} - {\text{ A}} \hfill \\  {\text{now, }}{{\text{A}}^2} \hfill \\  {\text{(}}{{\text{A}}^2})'{\text{  =  (A'}}{{\text{)}}^2} \hfill \\   \Rightarrow {\text{ (}}{{\text{A}}^2})'{\text{  =  (}} - {\text{ A}}{{\text{)}}^2} \hfill \\   \Rightarrow {\text{ (}}{{\text{A}}^2})'{\text{  =  }}{{\text{A}}^2} \hfill \\ \end{gathered} \]


Therefore, \[{{\text{A}}^2}\] is a symmetric matrix.


76. If \[A and B\] are square matrices of same order, then

\[(i) (AB)'  =  ..........\]

Ans: Given: Matrices \[{\text{A and B}}{\text{.}}\]


Transpose the matrices. Then, use matrix  identities.


Here,

\[{\text{(AB)'  =  B'A'}}\]


\[(ii) (kA)'  =  .......(k is any scalar)\]

Ans: Given: Matrices \[{\text{A and B}}{\text{.}}\]


Transpose the matrices. Then, use matrix  identities.


Here,

\[{\text{(kA)'  =  kA'}}\]


\[(iii)[k(A  -  B)]'  =  ........\]

Ans: Given: Matrices \[{\text{A and B}}{\text{.}}\]


Transpose the matrices. Then, use matrix  identities.


Here,

\[{\text{(AB)'  =  B'A'}}\]

Here,

\[\begin{gathered}  {[\text{k(A }} - {\text{ B)]'  =  k(A }} - {\text{ B)'}} \hfill \\    \Rightarrow {\text{ }}[{\text{k(A }} - {\text{ B)]'  =  k(A' }} - {\text{ B')}} \hfill \\ \end{gathered} \]


77. If \[A\] is a skew-symmetric matrix, then \[kA\] is a …….. (where, \[{\text{k}}\] is any scalar).

Ans: Given: \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


For skew-symmetric matrix \[{\text{A'  =  }} - {\text{ A}}\] and for symmetric matrix \[{\text{A'  =  A}}{\text{.}}\]


Here,

\[\begin{gathered}  {\text{A'  =  }} - {\text{ A}} \hfill \\  {\text{also, kA}} \hfill \\  {\text{(kA)'  =  kA'}} \hfill \\   \Rightarrow {\text{ (kA)'  =  kA'}} \hfill \\   \Rightarrow {\text{ (kA)'  =  k(}} - {\text{ A)}} \hfill \\   \Rightarrow {\text{ (kA)'  =  }} - {\text{ (kA)}} \hfill \\ \end{gathered} \]


Therefore, \[{\text{kA}}\] is skew-symmetric matrix.


78. If \[A and B\] are symmetric matrices, then

(i)\[AB  -  BA is a .......\]

Ans: Given: Matrices \[{\text{A and B, A'  =  A and B'  =  B}}{\text{.}}\]


For skew-symmetric matrix \[{\text{A'  =  }} - {\text{ A}}\] and for symmetric matrix \[{\text{A'  =  A}}{\text{.}}\]


Here,

\[\begin{gathered}  {\text{(AB }} - {\text{ BA)'  =  (AB)' }} - {\text{ (BA)'}} \hfill \\   \Rightarrow {\text{ (AB }} - {\text{ BA)'  =  B'A' }} - {\text{ A'B'}} \hfill \\   \Rightarrow {\text{ (AB }} - {\text{ BA)'  =  BA }} - {\text{ AB}} \hfill \\   \Rightarrow {\text{ (AB }} - {\text{ BA)'  =  }} - {\text{ (AB }} - {\text{ BA)}} \hfill \\ \end{gathered} \]


Therefore, \[{\text{AB }} - {\text{ BA}}\] is a skew-symmetric matrix.


(ii)\[BA  -  2AB is a ......\]


Ans: Given: Matrices \[{\text{A and B, A'  =  A and B'  =  B}}{\text{.}}\]


For skew-symmetric matrix \[{\text{A'  =  }} - {\text{ A}}\] and for symmetric matrix \[{\text{A'  =  A}}{\text{.}}\]


Here,

\[\begin{gathered}  {\text{(BA }} - {\text{ 2AB)'  =  (BA)' }} - {\text{ 2(AB)'}} \hfill \\   \Rightarrow {\text{ (BA }} - {\text{ 2AB)'  =  A'B' }} - {\text{ 2B'A'}} \hfill \\   \Rightarrow {\text{ (BA }} - {\text{ 2AB)'  =  AB }} - {\text{ 2BA}} \hfill \\   \Rightarrow {\text{ (BA }} - {\text{ 2AB)'  =  }} - {\text{ (2BA }} - {\text{ AB)}} \hfill \\ \end{gathered} \]


Therefore, \[{\text{BA }} - {\text{ 2AB}}\] is neither skew-symmetric nor symmetric matrix.


79.If \[A\] is symmetric matrix, then \[B'AB\] is ……

Ans: Given: \[{\text{A'  =  A}}{\text{.}}\]


For skew-symmetric matrix \[{\text{A'  =  A}}\] and for skew symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


Here,

\[\begin{gathered}  {\text{(B'AB)'  =  [B'(AB)]'}} \hfill \\   \Rightarrow {\text{ (B'AB)'  =  (AB)'(B')'}} \hfill \\   \Rightarrow {\text{ (B'AB)'  =  (B'A')B}} \hfill \\   \Rightarrow {\text{ (B'AB)'  =  B'AB}} \hfill \\ \end{gathered} \]


Therefore, \[{\text{B'AB}}\] is a symmetric matrix.


80. If \[A and B\] are symmetric matrices of same order, then \[AB\] is symmetric if and only if …….

Ans: Given: \[{\text{A and B}}\] are two skew symmetric matrices.


For symmetric matrix \[{\text{A'  =  A}}\] and for skew symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


Take transpose,

\[\begin{gathered}  {\text{(AB)'  =  B'A'}} \hfill \\   \Rightarrow {\text{ (AB)'  =  (}} - {\text{ B)(}} - {\text{ A)}} \hfill \\  {\text{(AB)'  =  BA}} \hfill \\  {\text{if, AB  =  BA, then}} \hfill \\  {\text{(AB)'  =  AB}}{\text{.}} \hfill \\ \end{gathered} \]


For \[{\text{AB}}{\text{  =  BA, AB}}\] is symmetric matrix.


81. In applying one or more row operations while finding \[{A^{ -  1}}\]by elementary row operations, we obtain all zeroes in one or more, then \[{A^{ -  1}}\]………..

Ans:While solving the inverse of matrix, if we obtain all zeroes in one or more row. Then, inverse of the matrix does not exist.


Therefore, \[{{\text{A}}^{ - {\text{ 1}}}}\] does not exist.

True/false:

82. A matrix denotes a number.

Ans: False.


A matrix is defined as the ordered rectangular array which contains numbers or functions.


83. Matrices of any order can be added.

Ans: False.


According to matrix algebra, two  matrices can be added only when they have same order.


 84. Two matrices are equal, if they have same number of rows and same number of columns.

Ans: False.


The two matrices are said to be equal only when they have same elements and same order. Matrices with same number of rows and same number of columns are square matrices.


85. Matrices of different order cannot be subtracted.

Ans:True.


According to matrix algebra, two matrices of same order can be added or subtracted. Therefore, matrices of different order cannot be subtracted.


86. Matrix addition is associative as well as commutative.

Ans: True.


According to properties of matrices, Matrix addition is both associative and commutative.


\[{\text{(A  +  B)  +  C  =  A  +  (B  +  C) and A  +  B  =  B  +  A}}{\text{.}}\]


87. Matrix multiplication is commutative.

Ans: False.


According to matrix multiplication, if \[{\text{AB and BA}}\]are both defined then, \[{\text{AB }} \ne {\text{ BA}}{\text{.}}\] Therefore, matrix multiplication is not commutative.


88. A square matrix where every element is unity is called an identity matrix.

Ans: False.


A matrix is said to be an identity matrix if and only if every diagonal element of matrix is unity. Therefore, square matrix where every element is unity is not an identity matrix.


89. If \[{\text{A and B}}\]are two square matrices of the same order, then \[{\text{A  +  B  =  B  +  A}}{\text{.}}\]

Ans: According to properties of matrices, matrix addition of two matrices with same order is commutative.


\[\begin{gathered}  {\text{A  +  B  =  B  +  A,}} \hfill \\  {\text{where A and B are square matrices}}{\text{.}} \hfill \\ \end{gathered} \]


90. If \[A and B\]are two matrices of same order, then \[A  -  B  =  B  -  A.\]

Ans: False.


According to properties of matrices, addition of two matrices is commutative.


\[\begin{gathered}  \therefore {\text{ A  +  (}} - {\text{ B)  =  A }} - {\text{ B}} \hfill \\   \Rightarrow {\text{ A }} - {\text{ B  =  }} - {\text{ (B }} - {\text{ A)}} \hfill \\   \Rightarrow {\text{ }} - {\text{ (B }} - {\text{ A) }} \ne {\text{ B }} - {\text{ A}} \hfill \\ \end{gathered} \]


91. If matrix \[AB  =  0, then A  =  0 or B  =  0 or both A and B\] are null matrices.

Ans: False.


For two non-zero matrices \[{\text{A and B}}\] of same order. It is possible that \[{\text{A}}{\text{.B  =  0}}{\text{.}}\]Therefore, \[{\text{A}}{\text{.B  =  0}}\]does not implies that \[{\text{A  =   or B  =  0}}{\text{.}}\]


92. Transpose of column matrix is a column matrix.

Ans: False.


Consider a column matrix \[{\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  1 \\   2 \\   3 \end{array}} \right]{\text{ and A'  =  }}\left[ {\begin{array}{*{20}{c}}  1&2&3 \end{array}} \right].\]


Therefore, transpose of column matrix is a row matrix.


93. If \[A and B\] are two square matrices of the same order, then \[AB  =  BA.\]

Ans: False.


Since, matrix multiplication does not follow commutative law. It is not always true that \[{\text{AB  =  BA}}{\text{.}}\]


94. If each of the three matrices of the same order are symmetric, then their sum is a symmetric matrix.

Ans:True.


Consider three matrices \[{\text{A, B and C}}\] of same order.


\[\begin{gathered}  \therefore {\text{ A'  =  A, B'  =  B and C'  =  C}}{\text{.}} \hfill \\  {\text{(A  +  B  +  C)'   =  A'  +  B'  +  C'}} \hfill \\   \Rightarrow {\text{ (A  +  B  +  C)'   =  A  +  B  +  C}} \hfill \\ \end{gathered} \]


Therefore, \[{\text{(A  +  B  +  C)}}\] is symmetric matrix.


95. If \[{\text{A and B}}\] are any two matrices of the same order, then \[{\text{(AB)'  =  A'B'}}{\text{.}}\]

Ans:False.


According to transpose properties of matrices, the transpose of matrix \[{\text{AB is (AB)'  =  B'A'}}{\text{.}}\]


96. If \[(AB)'  =  B'A', where A and B\] are not square matrices, then number of rows in \[{\text{A}}\] is equal to number of columns in B and number of columns in \[A\] is equal to number of columns in \[B.\]

Ans: Given: \[{\text{(AB)'  =  B'A'}}{\text{.}}\]


For multiplication of non-square matrices the product must be defined as per the order of matrix.


True.


Let, matrices \[{\text{A and B with order m }} \times {\text{ n and p }} \times {\text{ q}}\] respectively.


\[\begin{gathered}  {\text{As, (AB)'  =  B'A'}} \hfill \\  \therefore {\text{ }}{{\text{A}}_{{\text{m }} \times {\text{ n  }}}}{{\text{B}}_{{\text{p }} \times {\text{ q}}}}{\text{ is defined for n  =  p}}{\text{.}} \hfill \\  {\text{order of (AB) is m }} \times {\text{ q}}{\text{.}} \hfill \\ \end{gathered} \]\[\begin{gathered}   \Rightarrow {\text{ (AB)' is of order q }} \times {\text{ m}}{\text{.}} \hfill \\   \Rightarrow {\text{ B'A}}'{\text{ is of order of q }} \times {\text{ m}}{\text{.}} \hfill \\  \therefore {\text{ (AB)'  =  B'A' is true}}{\text{.}} \hfill \\ \end{gathered} \]


97. If \[A, B and C\] are square matrices of same order, then \[AB  =  AC\] always implies that\[B  =  C.\]

Ans: Given: \[{\text{A, B and C}}\] are square matrices.


Consider three matrices such that \[{\text{AB  =  AC}}{\text{.}}\] Then, check for equality for \[{\text{B and C}}{\text{.}}\]


False.


\[\begin{gathered}  {\text{A  =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&0 \end{array}} \right],{\text{ B  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   1&3 \end{array}} \right]{\text{ and C  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   3&1 \end{array}} \right] \hfill \\  {\text{AB   =  }}\left[ {\begin{array}{*{20}{c}}  1&0 \\   0&0 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&0 \\   1&3 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&0 \end{array}} \right] \hfill \\  {\text{AC  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   1&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}}  0&0 \\   3&1 \end{array}} \right]{\text{  =  }}\left[ {\begin{array}{*{20}{c}}  0&0 \\   0&0 \end{array}} \right] \hfill \\ \therefore {\text{ AB}}{\text{  =  AC but B }} \ne {\text{ C}}{\text{.}} \hfill \\ \end{gathered} \]


98.\[AA'\] is always a symmetric matrix for any matrix \[A.\]

Ans: Given: Matrix \[{\text{A}}{\text{.}}\]


For skew-symmetric matrix \[{\text{A'  =  }} - {\text{ A}}\] and for symmetric matrix \[{\text{A'  =  A}}{\text{.}}\]


True.


\[\begin{gathered}  {\text{For AA',}} \hfill \\  {\text{(AA')'  =  (A')'A'}} \hfill \\   \Rightarrow {\text{ (AA')'  =  (AA')}} \hfill \\ \end{gathered} \]


Therefore, \[{\text{AA'}}\] is always symmetric matrix.


99. If \[A  =  \left[ {\begin{array}{*{20}{c}}  2&3&{ -  1} \\   1&4&2 \end{array}} \right] and B  =  \left[ {\begin{array}{*{20}{c}}  2&3 \\   4&5 \\   2&1 \end{array}} \right], then AB and BA\] are defined and equal.

Ans: Given: Matrices \[{\text{A  and B}}{\text{.}}\]


Use matrix multiplication \[{\text{A}}{\text{.B and B}}{\text{.A}}\]. Then, check equality of \[{\text{AB and BA}}{\text{.}}\].


False.


\[\begin{gathered}  {\text{AB  =  }}{\left[ {\begin{array}{*{20}{c}}  2&3&{ - {\text{ 1}}} \\   1&4&2 \end{array}} \right]_{2{\text{ }} \times {\text{ 3}}}}{\left[ {\begin{array}{*{20}{c}}  2&3 \\   4&5 \\   2&1 \end{array}} \right]_{3{\text{ }} \times {\text{ 2}}}} \hfill \\  {\text{AB is defined,}} \hfill \\   \Rightarrow {\text{ AB  =  }}\left[ {\begin{array}{*{20}{c}}  {14}&{20} \\   {22}&{25} \end{array}} \right] \hfill \\  {\text{BA  =  }}{\left[ {\begin{array}{*{20}{c}}  2&3 \\   4&5 \\   2&1 \end{array}} \right]_{3{\text{ }} \times {\text{ 2}}}}{\left[ {\begin{array}{*{20}{c}}  2&3&{ - {\text{ 1}}} \\   1&4&2 \end{array}} \right]_{2{\text{ }} \times {\text{ 3}}}} \hfill \\  {\text{BA is defined,}} \hfill \\   \Rightarrow {\text{ BA  =  }}\left[ {\begin{array}{*{20}{c}}  7&{18}&4 \\   {13}&{32}&6 \\   5&{10}&0 \end{array}} \right] \hfill \\  \therefore {\text{ AB }} \ne {\text{ BA}}{\text{.}} \hfill \\ \end{gathered} \]


100.If \[A\] is skew symmetric matrix, then \[{A^2}\] is a symmetric matrix.

Ans: Given: \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


For symmetric matrix \[{\text{A'  =  A}}\] and for skew-symmetric matrix \[{\text{A'  =  }} - {\text{ A}}{\text{.}}\]


True.


Here,

\[\begin{gathered}  {\text{A'  =  }} - {\text{ A}} \hfill \\  {\text{now, }}{{\text{A}}^2} \hfill \\  {\text{(}}{{\text{A}}^2})'{\text{  =  (A'}}{{\text{)}}^2} \hfill \\   \Rightarrow {\text{ (}}{{\text{A}}^2})'{\text{  =  (}} - {\text{ A}}{{\text{)}}^2} \hfill \\   \Rightarrow {\text{ (}}{{\text{A}}^2})'{\text{  =  }}{{\text{A}}^2} \hfill \\ \end{gathered} \]


Therefore, \[{{\text{A}}^2}\] is a symmetric matrix.


101.\[{(AB)^{ -  1}}  =  {A^{ -  1}}{B^{ -  1}}, where A and B\] are invertible matrices satisfying commutative property with respect to multiplication.

Ans: Given: \[{{\text{(AB)}}^{ - {\text{ 1}}}}{\text{  =  }}{{\text{A}}^{ - {\text{ 1}}}}{{\text{B}}^{ - {\text{ 1}}}}.\]


Use commutative property \[{\text{AB  =  BA}}\] of matrix multiplication.\


True.


\[\begin{gathered}  {\text{A}}{\text{ and B are invertible matrices,}} \hfill \\  {{\text{(AB)}}^{ - {\text{ 1}}}}{\text{ }} = {\text{ (BA}}{{\text{)}}^{ - {\text{ 1}}}} \hfill \\  {{\text{(AB)}}^{ - {\text{ 1}}}}{\text{  =  (AB}}{{\text{)}}^{ - {\text{ 1}}}}{\text{     \{ using, AB =  BA\} }} \hfill \\   \Rightarrow {\text{ }}{{\text{B}}^{ - {\text{ 1}}}}{{\text{A}}^{ - {\text{ 1}}}}{\text{  =  }}{{\text{A}}^{ - \,{\text{1}}}}{{\text{B}}^{ - \,{\text{1}}}} \hfill \\ \end{gathered} \]


Matrices are the third Chapter of the NCERT Exemplar Solutions for Class 12 Mathematics. The introduction to the Matrix  and its order, its kinds, properties, operations are done on Matrices, multiplication of two Matrices, Symmetric and Skew-Symmetric Matrices, transpose of the Matrix , invertible Matrix , and other topics are addressed in this Chapter. Learners use theNCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions) PDF from the Vedantu site to solve all their doubts instantly and get the right answers.

 

The National Council for Educational Research and Training (Ncert) publishes the Ncert Exemplar. These books are designed for students in grades 6 through 12. NCERT Exemplar Books are ideal study materials for students in Classes 8 through 12.  These questions are written in such a way that students can emphasize establishing a solid foundation as well as expanding their knowledge, allowing them to gain a greater understanding of the concepts.

 

Chapter 3 of the NCERT Exemplar Class 12 Maths solutions One of the most fascinating Chapters to study is Matrices. Matrices are a type of Mathematical tool that aids in the solution of linear equations. Matrices are faster and more efficient than the traditional direct technique of solving problems. Matrices are utilized in a variety of fields other than Mathematics, such as economics, genetics, and so on. The NCERT Exemplar Class 12 Maths Chapter 3 answers cover a wide range of Matrix -related subjects, including types, operations, and invertible Matrices.


FAQs on NCERT Exemplar for Class 12 Maths Chapter-3 (Book Solutions)

1. What are the various applications of studying the Chapter 3 Matrices?

For some pupils, the Matrix  is a fascinating and challenging subject. It is a high-scoring Chapter in the NCERT Class 12 Maths solutions that a student can use to improve their Exam scores. However, the goal should not be solely to increase one's score. Students should instead concentrate on comprehending the topic and its applications. NCERT Exemplar Solutions Chapter 3 in Class 12 Maths is employed not only in linear equations but also has a wide range of applications in higher education. It is employed in genetics, current psychology, economics, and other fields, so pupils in Class 12th benefit from starting from the beginning.

2. What are the various sub topics covered in the NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions)?

The various sub topics discussed in the NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions) are:

  • 3.1 The Beginning

  • Matrix  3.2

  • 3.2.1 Matrix  order

  • 3.3 Different types of Matrices

  • 3.4 Multiplication and division of Matrices

  • 3.4.1 Matrices are added

  • 3.4.2 Scalar multiplication of a Matrix 

  • 3.4.3 Matrix  addition properties

  • 3.4.4 Matrix  scalar multiplication properties

  • 3.4.5 Matrices multiplication

  • 3.4.6 Properties of Matrix  Multiplication

  • 3.5 Matrix  transposition

  • 3.5.1 Properties of Matrices in transposition

  • Symmetric and skew-symmetric Matrices (section 3.6)

  • 3.7 Matrix  operations at a basic level

  • Invertible Matrices (3.8)

  • 3.8.1 Matrix  inversion using elementary operations

3. What can you learn in NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions)?

Students will study many types of Matrices, their properties, and how operations are applied to them in NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions).

The properties of a Matrix's transpose are studied in depth. The definition, characteristics, and theorems of symmetric and skew-symmetric Matrices are also included. Students will also learn about Matrix  transformations and obtain a clear knowledge of how Matrices are inverted with elementary operations in NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions).

Students will have a thorough understanding of Matrices' characteristics and kinds. They will learn about Matrices' operations and basic operations.

Higher-level questions can be answered with considerably more confidence and comfort. The solutions to NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions) are compiled by the top faculties and subject experts of Vedantu.

4. What are the advantages of using NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions)?

NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions) will aid students in grasping the fundamentals. It will aid in the student's understanding of Matrices and their fundamentals. The order of a Matrix  is discussed in NCERT sample Class 12 Maths solutions Chapter 3, as well as how to design and solve a Matrix  for high-order issue solving. The use of Matrices is also covered in the beginning.

The order of a Matrix  is discussed in NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions), as well as how to design and solve a Matrix  for high-order question handling.

5. How can I get the most out of the NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions)?

The finest sources to practise questions and strengthen your concepts are NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions).

After you've read the Chapter thoroughly and have understood all the concepts related to it, and have a firm grasp on the topic, you can utilise the NCERT Exemplar for Class 12 Maths Chapter 3 - Matrices (Book Solutions)  to practise additional questions that have been expertly crafted for you by top subject experts. Answering all of these questions will not only help you gain a comprehensive understanding of the Chapter's principles but will also improve your overall confidence and grasp of the Chapter. You will now be able to perform significantly better on your primary Exam and pass with flying colours.

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