Maths Vector Algebra Chapter - Maths JEE Main

In mathematics, vectors occupy a unique position, bridging the gap between numbers and geometry. They extend the concept of numbers by incorporating not just magnitude but also direction, transforming them into entities that can capture the essence of motion, force, and displacement.

Vectors class 11, is a fundamental chapter in the JEE Main syllabus, that introduces students to this fascinating world of vector algebra. It unveils the intricacies of vector operations, enabling them to manipulate and analyze vectors with precision and elegance.

Throughout this chapter, students will delve into the concepts of vector addition, subtraction, multiplication, and division, gaining mastery over the tools required to navigate the vector landscape. They will discover the elegance of dot and cross products, unlocking the power to determine angles between vectors and calculate their areas and volumes.

Vectors in Maths of class 11 is not merely a collection of formulas and theorems; it is an invitation to explore a realm where mathematical rigor intertwines with geometric intuition. It is a gateway to understanding the physical world around us, where vectors play a pivotal role in describing phenomena ranging from the motion of celestial bodies to the intricacies of electrical fields.

JEE Main Maths Chapters 2024

Important Topics of Maths Vector Algebra Chapter

• Vectors and scalars

• Types of Vectors

• Vector in Two Dimensions and Three-Dimensional Space.

• Scalar Products 

• Vector Products

• Vector Triple Product.

Vectors and Scalars

Before we dive into the intricacies of vector algebra, it's essential to understand the basic distinction between vectors and scalars.

Scalars: Scalars are quantities that have only magnitude, such as mass, time, and temperature. Scalars are represented by single numerical values without any direction.

Vectors: Vectors, on the other hand, have both magnitude and direction. Examples of vectors include displacement, velocity, and force. Vectors are represented by arrows or bold letters, such as A or V, and their magnitude is denoted by |A|.

Maths Vector Algebra Important Concept for JEE Main

What is Vector Algebra?

Many algebraic operations involving vectors are performed using vector algebra. The word vector comes from the Latin word vector, which means "carrier." Vectors transport information from point A to point B. The magnitude of the vector is the length of the line between two points A and B, and the direction of the vector AB is the direction of displacement of point A to point B. Euclidean vectors and spatial vectors are other names for vectors. Vectors are used in arithmetic, physics, engineering, and a variety of other professions.

Vector Components

In mathematics, a vector is a geometric entity with both magnitude and direction. Vectors have a starting point at which they begin and a terminal point that indicates the point's final position. In vector algebra, several algebraic operations such as addition, subtraction, and multiplication can be done. Many physical quantities, such as velocity, displacement, acceleration, and force, are vector values, meaning they have both a magnitude and a direction.

Representation of Vectors

Vectors are usually represented in bold lowercase such as a or using an arrow over the letter as $\vec{a}$. Vectors can also be denoted by their initial and terminal points with an arrow above them, for example, vector AB can be denoted as $\vec{AB}$. The standard form of representation of a vectors is $\vec{A}=a\hat{i}+b\hat{j}+c\hat{k}$. Here, a,b,c are real numbers and $\hat{i}, \hat{j}, \hat{k}$ are the unit vectors along the x-axis, y-axis, and z-axis respectively.

Vector representation

The tail of a vector is also known as the beginning, whereas the head is known as the end. The movement of an object from one location to another is described by vectors. Vectors are represented as ordered pairs in the cartesian coordinate system. An 'n-tuple' can also be used to represent vectors in 'n' dimensions. Vectors are also identified with a tuple of components which are the scalar coefficients for a set of basis vectors and the basis vectors are denoted as $e_1 = (1,0,0), e_2 = (0,1,0), e_3 = (0,0,1)$.

Magnitude of Vectors

The square root of the sum of the squares of a vector's components can be used to calculate its magnitude. The magnitude of a vector is a scalar value.

Components of a Vector in Two Dimensions

In two-dimensional space, a vector can be represented as an ordered pair (x, y), where 'x' and 'y' are the components of the vector. The magnitude of the vector is given by the Pythagorean theorem: $|A| = \sqrt{x^2 + y^2}$, and the direction can be described by the angle θ formed with respect to the positive x-axis.

Components of a Vector in Three-Dimensional Space

Extending vector algebra to three dimensions, a vector can be represented as (x, y, z), where 'x,' 'y,' and 'z' are the components. The magnitude of the vector is calculated as $|A| = \sqrt{x^2 + y^2 + z^2}$. The direction can be described using spherical coordinates (ρ, θ, φ), where ρ is the magnitude, θ is the angle in the xy-plane, and φ is the angle with the positive z-axis.

Types of Vectors - Vector Algebra

Different types of vectors are utilised in vector algebra for various algebraic operations. Based on their magnitude, direction, and relationships with other vectors, vectors are classified into different types. Let's look at a few different types of vectors and their properties accordingly:

Zero Vectors

Vectors that have 0 magnitudes are called zero vectors and is denoted by $\vec{0}=(0,0,0)$. The zero vector has zero magnitudes and has no direction, It is also called the additive identity of vectors.

Unit Vectors

Vector having a magnitude equal to 1 are called the unit vectors, denoted by $\hat{a}$. It is also called the multiplicative identity of vectors and the magnitude of a unit vector is 1. It is usually used to denote the direction of a vector.

Position Vectors

In three-dimensional space, position vectors are used to determine the position and direction of movement of vectors. Position vectors' magnitude and direction can be modified in relation to other bodies, and it is also known as the position vector. 

Equal Vectors

If the corresponding components of two or more vectors are identical, they are said to be equal. The magnitude and direction of equal vectors are the same. Although the initial and terminal points may differ, the magnitude and direction must be equal.

Negative Vector

A vector is said to be the negative of any other vector if they have the same magnitudes but are opposite in direction. Consider if vectors A and B have equal magnitude but opposite directions, then vector A is said to be the negative of vector B or vice-versa.

Parallel Vectors

If two or more vectors have the same direction but not necessarily the same magnitude, they are said to be parallel vectors. The angles of parallel vectors' directions differ by zero degrees. Antiparallel vectors are those whose direction angles differ by 180 degrees, i.e., antiparallel vectors have opposite directions.

Orthogonal Vectors

If the angle between two or more vectors in space is 90 degrees, they are said to be orthogonal. In other words, the dot product of orthogonal vectors is always 0. 

$a\cdot b=|a|\cdot |b| \cos 90^circ = 0$

Co-initial Vectors

Co-initial vectors are two vectors that have the same initial point.

Operations in Vector Algebra

Some basic vector algebra operations can be done geometrically without the use of a coordinate system. Addition, subtraction, and multiplication by a scalar are some of the operations that can be performed on vectors. The dot product and the cross product of vectors are also two other ways of multiplying vectors. The following are the various operations in vector algebra. 

• Addition of Vectors

• Subtraction of Vectors

• Scalar Multiplication

• Scalar Triple Product of Vectors

• Multiplication of Vectors

Let us understand each of these operations in vector algebra in the below paragraphs.

Addition of Vectors

Let us consider there are two vectors P and Q, then the sum of these two vectors can be performed when the tail of vector Q meets with the head of vector A. And during this addition, the magnitude and direction of the vectors should not change. The vector addition follows two important laws, which are;

Commutative Law: P + Q = Q + P

Associative Law: P + (Q + R) = (P + Q) + R

Combining algebraic vectors mirrors the addition of scalars, adhering to both commutative and associative rules. To achieve the final outcome, individual components of respective vectors are added. This is mathematically represented as:

c + d = $(k_1 i + l_1j + m_1 k) + (k_2i + l_2j + m_2 k)$

$= (k_1, l_1, m_1) + (k_2, l_2, m_2)$

$= (k_1 + l_2, m_1 + k_2, l_1 + m_2)$

$= (k_1 + k_2) i + (l_1 + l_2)j + (m_1 + m_2) k$

Subtraction of Vectors

Here, the direction of other vectors is reversed and then the addition operation is performed on both the vectors given. If P and Q are the vectors for which the subtraction method must be used, we must invert the direction of another vector, such as Q, to make it -Q. The vectors P and -Q must now be added. The vectors' directions are thus opposite, but their magnitude remains the same.

P – Q = P + (-Q)

Multiplication of Vectors

The scalar multiplication is represented by kA when k is a scalar quantity multiplied by a vector A. If k is positive, the direction of vector kA is the same as the direction of vector A; however, if k is negative, the direction of vector kA is the opposite of the direction of vector A and the magnitude of the vector kA is given by |kA|.

Scalar Products (Dot Product)

A scalar product is often referred to as a dot product. Between two vectors, a dot(.) is used to symbolise it. Two equal-length coordinate vectors are multiplied to get a single integer. In other words, when two vectors are scalar products, the outcome is either a number or a scalar quantity. If P and Q are two vectors, then the dot product of both vectors is as follows:

$P \cdot Q = |P| |Q| \cos \theta$

If P and Q are both in the same direction, i.e. θ = 0°, then;

$P \cdot Q = |P| |Q|$

If P and Q are both orthogonal, i.e. θ = 90°, then;

$P \cdot Q = 0$ [since cos 90° = 0]

In vector algebra, if two vectors are given as;

$P = [P_1,P_2,P_3,P_4,….,P_n]$ and $Q = [Q_1,Q_2,Q_3,Q_4,….,Q_n]$

Then their dot product is given by;

$P \cdot Q = P_1Q_1+P_2Q_2+P_3Q_3+……….P_nQ_n$

Vector Products (Cross Product)

The multiplication sign(x) between two vectors denotes a cross product. It's a three-dimensional system with a binary vector operation. If P and Q are two independent vectors, the outcome of their cross product (P x Q) is perpendicular to both vectors and normal to the plane in which they are both located. It is represented by;

$P \times Q = |P| |Q| \sin \theta \hat{n}$

Vector Triple Product

The vector triple product is a vector operation that takes three vectors as input and produces a single vector as output. It is defined as the cross product of one vector with the cross product of the other two vectors.

The vector triple product of three vectors a, b, and c is denoted by $a \times (b \times c)$ or $[abc]$. It is calculated as follows:

$a \times (b \times c) = b(a \cdot c) - c(a \cdot b)$

Properties of vector triple product:

• It is anti-commutative, meaning that $a \times (b \times c) = - (b \times (a \times c))$.

• It is distributive over vector addition, meaning that $a \times (b + c) = a \times b + a \times c$.

• It is associated with the scalar triple product, meaning that $a \cdot (b \times c) = (a \times b) \cdot c$.

Applications of Vector Algebra

In the fields of physics and mathematics, vector algebra has several applications. Quantities with both direction and magnitude are dealt with in vector algebra. Many quantities, such as velocity, acceleration, and force, must be represented as mathematical expressions and can be represented as vectors. The following are some examples of vector algebra applications.

• Vectors are one of the most significant factors in the study of partial differential equations and differential geometry.

• Vectors are particularly valuable in the study of many domains in physics and engineering, such as electromagnetic fields, gravitational fields, and fluid flow.

• Vector algebra is handy when finding the component of a force in a certain direction.

• Vector algebra is used in physics to determine the interaction between two or more quantities.

• The dot of one vector is the cross product of the other two vectors in the scalar triple product of vectors. In a scalar triple product, if any two vectors are equal, the scalar triple product is zero. The three vectors a, b, and c are said to be coplanar if the scalar triple product is equal to zero.

Also, a·(b × c) = b·(c × a) = c·(a × b)

List of Important formulas for Maths Vector Algebra Chapter

JEE Main Maths Vector Algebra Solved Examples  

Example 1: Find the magnitude of the vector $\vec{a}$ = 5i - 3j + k, using the formula from vector algebra.

Solution:

The given vector is $\vec{a}$ = 5i - 3j + k.

The magnitude of the vector is $|a| = \sqrt{5^2+(−3)^2+1^2} = 25+9+1 = 35$

Therefore, the magnitude of the vector is 35.

Example 2: Using vector algebra concepts, find the dot product between the two vectors 2i + 3j + k, and 5i -2j + 3k.

Solution:

The two given vectors are:

$\vec{a}$ = 2i + 3i + k, and $\vec{a}$ = 5i -2j + 3k

Using the dot product we have $\vec{a} \cdot \vec{b} = 2.(5) + 3.(-2) + 1.(3) = 10 - 6 + 3 = 7$

Therefore, the dot product of the two vectors is 7.

Previous Year Questions from JEE Main Paper

Question 1: Let $\vec{b}$ = 4i + 3j and c be two vectors perpendicular to each other in the xy-plane. All vectors in the same plane having projections 1 and 2 along b and c respectively are given by _________.

Solution:

Let $r = \lambda b + \mu c$ and $c = \pm (x\hat{i} + y\hat{j})$.

Since c and b are perpendicular, we have 4x + 3y = 0

$\Rightarrow c = \pm x (\hat{i} − 43\hat{j})$, {Because, y = [−4 / 3]x}

Now, projection of r on $b = \dfrac{r \cdot b}{|b|} = 1$

$\Rightarrow \dfrac{(\lambda b + \mu c) \cdot b}{|b|}$

$\Rightarrow \dfrac{\lambda b \cdot B}{|b|} = 1$

$\Rightarrow \lambda = \dfrac{1}{5}$

Again, projection of r on $c = \dfrac{r \cdot c}{|c|} = 2$

This gives $\mu x = \dfrac{6}{5}$

$\Rightarrow r = \dfrac{1}{5} (4\hat{i} + 3\hat{j}) + \dfrac{6}{5} \left(i - \dfrac{4}{3}\hat{j}\right)$

$r = 2\hat{i} - \hat{j}$ or

$r = \dfrac{1}{5} (4\hat{i} + 3\hat{j}) − dfrac{6}{5} \left(i - \dfrac{4}{3}\hat{j}\right)$

$r = -\dfrac{2}{5} \hat{i} + \dfrac{11}{5} \hat{j}$

Question 2: If a, b and c are unit vectors, then $|a - b|^2 + |b - c|^2 + |c - a|^2$ does not exceed

A) 4

B) 9

C) 8

D) 6

Solution:

$|a − b|^2 + |b − c|^2 + |c − a|^2 = 2 (a^2 + b^2 + c^2) − 2 (a \times b + b \times c + c \times a)$

$= 2 \times 3 − 2 (a \times b + b \times c + c \times a)$

$= 6 − {(a + b + c)^2 − a^2− b^2 − c^2}$

$= 9 − |a + b + c|^2 ≤ 9$

Question 3: Let a, b and c be vectors with magnitudes 3, 4 and 5 respectively and a + b + c = 0, then the values of $a \cdot b + b \cdot c + c \cdot a$ is ________.

Solution:

Since a + b + c = 0

On squaring both sides, we get

$|a|^2 + |b|^2 + |c|^2 + 2 (a \cdot b + b \cdot c + c \cdot a) = 0$

$\Rightarrow 2 (a \cdot b + b \cdot c + c \cdot a) = - (9 + 16 + 25)$

$\Rightarrow a \cdot b + b \cdot c + c \cdot a = -25$

Practise Questions 

Q1. Let $\vec{a} = \hat{j} - \hat{k}$ and $\vec{c} = \hat{i} - \hat{j} - \hat{k}$. Then the vector $\vec{b}$ satisfying $\vec{a} \times  \vec{b} + \vec{c} = \vec{0}$ and $\vec{a} \cdot \vec{b} = 3$ is :

A. $\hat{−i} + \hat{j} − 2\hat{k}$

B. $2\hat{i} − \hat{j} + 2\hat{k}$

C. $\hat{i} − \hat{j} − 2\hat{k}$

D. $\hat{i} + \hat{j} − 2\hat{k}$

Q2. If $\vec{a} = 110(3\hat{i} + \hat{k})$ and $\vec{b} = 17(2\hat{i} + 3\hat{j} − 6\hat{k})$, then the value of $(2\vec{a} − \vec{b}) \cdot [(\vec{a} \times \vec{b}) \times (\vec{a} + 2\vec{b})]$ is 1:

A.  5                    

B.  3                   

C.  – 5                   

D.  – 3

Answer: 1-A, 2-C 

Conclusion

The chapter on "Vector Algebra" serves as a pivotal building block for JEE Main aspirants. It not only equips students with a profound understanding of vectors and their applications but also cultivates problem-solving skills critical for success in the examination. Vectors play a fundamental role in various scientific and engineering disciplines, and this chapter prepares students to tackle complex problems with confidence. Beyond JEE Main, the knowledge gained here serves as a solid foundation for higher education and real-world applications. Overall, mastering Vector Algebra is not just a key to acing the exam but also a gateway to comprehending the dynamic world of mathematics and science.

JEE Main Maths - Vector Algebra Study Materials

Here, you'll find a comprehensive collection of study resources for Vector Algebra designed to help you excel in your JEE Main preparation. These materials cover various topics, providing you with a range of valuable content to support your studies. Simply click on the links below to access the study materials of Vector Algebra and enhance your preparation for this challenging exam.

JEE Main Maths Study and Practice Materials

Explore an array of resources in the JEE Main Maths Study and Practice Materials section. Our practice materials offer a wide variety of questions, comprehensive solutions, and a realistic test experience to elevate your preparation for the JEE Main exam. These tools are indispensable for self-assessment, boosting confidence, and refining problem-solving abilities, guaranteeing your readiness for the test. Explore the links below to enrich your Maths preparation.