Summary of Class 12 Maths Vector Algebra

 Summary of Class 12 Maths Vector Algebra

 

Vector 

A quantity that has magnitude as well as direction is called a vector. It is denoted as  or simply as . A is called the initial point and B is called the terminal point of vector   .    

 
Magnitude of a Vector

The distance between initial and terminal points of a vector   or  is called the magnitude of   or  and it is denoted by |  | or || or a.
Note: Since, the distance is never negative, the notation |
| < 0 has no meaning.


Position Vector 

Let O(0, 0, 0) be the origin and P be a point in space having coordinates (x, y, z) with respect to the origin O. Then, the vector 𝑂𝑃 or  is called the position vector of the point P with respect to O. Its magnitude is given by
Vector Algebra Class 12 Notes Maths Chapter 10

Direction Cosines

Let α, β and γ be the angles made by the vector   or  with the positive directions of the coordinate axes OX, OY and OZ, respectively. Then cos α, cos β and cos γ are known as the direction cosines of  or  and are generally denoted by the letters l, m and n, respectively.
Vector Algebra Class 12 Notes Maths Chapter 10

That is, l = cos α, m = cos β, n = cos γ

If l, m and n be the direction cosines of , then l2 + m2 + n2 = 1.


Direction Ratios

From the above figure, we can write that cos α = x/r, cos β = y/r and cos γ = z/r.

Thus, the coordinates of the point P may also be expressed as (lr, mr, nr). The numbers lr, mr and nr, proportional to the direction cosines are called as direction ratios of vector  , and denoted as a, b and c, respectively.

 

Types of Vectors

Zero Vector: A vector whose initial and terminal points coincide, is called a zero vector (or null vector).

Unit Vector: A vector of unit length is called unit vector. The unit vector in the direction of  is 𝑎̂ =

Coinitial Vectors: Two or more vectors having the same initial point are called coinitial vectors.

Collinear Vectors: Two or more vectors are said to be collinear, if they are parallel to the same line, irrespective of their magnitudes and directions, e.g.  and  are collinear, when = ±𝜆 or || = 𝜆||. If two vectors are parallel or collinear, one can be expressed as a scalar multiple of the other.

Equal Vectors: Two vectors are said to be equal, if they have the same magnitude and the same direction. If  = , then | I = ||.

Negative Vector: A vector having the same magnitude but opposite in direction of the given vector, is called as its negative vector. For example, vector  is the negative of the vector  and written as   = – .

 

Addition of Vectors

Triangle Law of Vector Addition: If two vectors are represented along two sides of a triangle taken in order, then their resultant is represented by the third side taken in opposite direction. In ∆ABC, by triangle law of vector addition, we have  +  = .
A blue triangle with black text

AI-generated content may be incorrect.

Note: The vector sum of three sides of a triangle taken in order is .

Parallelogram Law of Vector Addition: If two vectors are represented along the two adjacent sides of a parallelogram, then their resultant is represented by the diagonal of the parallelogram through their initial point.

A triangle with arrows and letters

AI-generated content may be incorrect.

If OA and OB are the sides of the parallelogram, then OA + OB = OC.


Properties of Vector Addition

Property 1: For any two vectors  and ,  +  =  +     (Commutative property)

Property 2: For any three vectors ,  and , ( + ) +  =  + ( + ) (Associative property)  

Property 3: for any vector , we have  +  =  +  =  

Here, the zero vector  is called the additive identity for the vector addition.

 

 

Multiplication of a Vector by a Scalar

Let  be a given vector and λ be a scalar. Then, the product of the vector  by the scalar λ, denoted as λ, is called the multiplication of vector  by the scalar λ.

 

Components of a Vector

Let the position vector of P with reference to O be  . Let =  = 𝑥𝑖̂ + 𝑦𝑗̂ + 𝑧𝑘̂. Here, x, y and z are called the scalar components of and 𝑥𝑖̂, 𝑦𝑗̂ and 𝑧𝑘̂ are called the vector components of  along the respective axes.

 


Vector Joining of Two Points

If P1(x1, y1, z1) and P2(x2, y2, z2) are any two points, then the vector joining P1 and P2 is the vector .
Vector Algebra Class 12 Notes Maths Chapter 10


Section Formula

The position vector  of point R, which divides the line segment joining the points A and B with position vectors  and , respectively, internally in the ratio m : n is given by
Vector Algebra Class 12 Notes Maths Chapter 10

If P divides AB externally in the ratio m : n, then
Vector Algebra Class 12 Notes Maths Chapter 10

Note: If R is the midpoint of AB, then OR = ( + ) / 2

 


Scalar (or Dot) Product of Two Vectors

If θ is the angle between two vectors  and , then the scalar or dot product of  and , denoted by . , is given by  = ∣∣∣∣ 𝑐𝑜𝑠 𝜃, where 0 ≤ θ ≤ π.
Note:
(i) 
 is a real number.
(ii) If either 
 =  or  = , then θ is not defined.


Properties of dot product of two vectors  and  are as follows:

Vector Algebra Class 12 Notes Maths Chapter 10

Vector Algebra Class 12 Notes Maths Chapter 10

Vector (or Cross) Product of Two Vectors

If θ is the angle between two non-zero vectors  and , then the vector or cross product of the vectors, denoted by  × , is given by
Vector Algebra Class 12 Notes Maths Chapter 10  

where, 𝑛̂ is a unit vector perpendicular to both  and .


Note:
 ×  is a vector quantity, whose magnitude is  × = || 𝑠𝑖𝑛 𝜃


Properties of cross product of two vectors 𝑎⃗ and 𝑏⃗ are as follows:

Vector Algebra Class 12 Notes Maths Chapter 10
Vector Algebra Class 12 Notes Maths Chapter 10


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