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Dot and Cross Products on Vectors

A quantity that is characterized not only by magnitude but also by its direction, is called a vector. Velocity, force, acceleration, momentum, etc. are vectors.  

Vectors can be multiplied in two ways:



Scalar Product/Dot Product of Vectors

The resultant scalar product/dot product of two vectors is always a scalar quantity. Consider two vectors a and b. The scalar product is calculated as the product of magnitudes of a, b, and cosine of the angle between these vectors.

Scalar product = |a||b| cos α



Here, |a| = magnitude of vector a |b| = magnitude of vector b α = angle between the vectors

Vectors a and b with angle α between them

Projection of one vector on other Vector

Vector a can be projected on the line l as shown below:

CD = projection of vector a on vector b

It is clear from the above figure that we can project one vector over another vector. AC is the magnitude of vector A. In the above figure, AD is drawn perpendicular to line l. CD represents the projection of vector a on vector b.

Triangle ACD is thus a right-angled triangle, and we can apply trigonometric formulae. 

If α is the measure of angle ACD, then

cos α = CD/AC

Or, CD = AC cos α

From the figure, it is clear that CD is the projection of vector a on vector b

So, we can conclude that one vector can be projected over the other vector by the cosine of the angle between them.

Properties of Scalar Product

                a.(b + c) = a.b + a.c

               la.(m b) = km a.b

                a = a1x + a2y + a3z

                b = b1x + b2y + b3z

           then the scalar product is given as  

                a.b = a1b1 + a2b2 + a3b3

Inequalities Based on Dot Product

Cauchy – Schwartz inequality

According to this principle, for any two vectors a and b, the magnitude of the dot product is always less than or equal to the product of magnitudes of vector a and vector b

|a.b| |a| |b|

Proof:

Since, a.b = |a| |b| cos α

We know that 0 < cos α < 1

So, we conclude that |a.b| ≤ |a| |b| 

Triangle Inequality

For any two vectors a and b, we always have  

|a+ b| ≤ |a| + | b|

Triangle inequality

Proof:

|a+b|2=|a+b||a+b|

          = a.a + a.b +b.a+ b.b

          = |a|2+ 2a.b+|b|2 (dot product is commutative)

          ≤ |a|2 + 2|a||b| + |b|2

          ≤ (|a| + |b|)2

This proves that |a + b| ≤ |a| + |b|

Examples of Dot Product of Vectors

Example 1. Consider two vectors such that |a|=6 and |b|=3 and α = 60°. Find their dot product.  

Solution: 

a.b = |a| |b| cos α

So, a.b = 6.3.cos(60°)

            =18(1/2)

a.b = 9

Example 2. Prove that the vectors a = 3i+j-4k and vector b = 8i-8j+4k are perpendicular.

Solution

We know that the vectors are perpendicular if their dot product is zero

a.b = (3i+j-4k)(  8i-8j+4k) 

    = (3)(8) +(1)(-8)+(-4)(4)

      =24-8-16 =0

Since the scalar product is zero, we can conclude that the vectors are perpendicular to each other.

Cross Product/Vector Product of Vectors

Readers are already familiar with a three-dimensional right-handed rectangular coordinate system. In this system, a counterclockwise rotation of the x-axis into the positive y-axis indicates that a right-handed (standard) screw would advance in the direction of the positive z-axis as shown in the figure.

3D Rectangular coordinate system

The vector product of two vectors a and b with an angle α between them is mathematically calculated as

a × b = |a| |b| sin α  

It is to be noted that the cross product is a vector with a specified direction. The resultant is always perpendicular to both a and b. 

In case a and b are parallel vectors, the resultant shall be zero as sin(0) = 0

Properties of Cross Product

                 i × i = j × j = k × k = 0

                 a × b is not equal to b × a

                 a × (b + c) = a × b+ a × c

                 k(a × b) = k(a) × b = a × k(b)

 Cross product in clockwise and anticlockwise direction

           The following results can be established:

           i × j = k     j × k = i       k × i = j  

           j × i = -k   i × k= -j       k × j = -i

Cross product in Determinant Form

If the vector a is represented as a = a1x + a2y + a3z and vector b is represented as b = b1x + b2y + b3z

Then the cross product a × b can be computed using determinant form

a × b = x(a2b3 – b2a3) + y(a3b1 – a1b3) + z(a1b2 – a2b1)

If a and b are the adjacent sides of the parallelogram OXYZ and α is the angle between the vectors a and b.

Then the area of the parallelogram is given by |a × b| = |a| |b|sin.α

Vectors a and b as adjacent sides of a parallelogram

Examples of Cross product of Vectors

Example 1. Find the cross product of two vectors a and b if their magnitudes are 5 and 10 respectively. Given that angle between then is 30°.

Solution:

a × b = a.b.sin (30) = (5) (10) (1/2) = 25 perpendicular to a and b

Example 2. Find the area of a parallelogram whose adjacent sides are  

a = 4i+2j -3k

b= 2 i +j-4k

Solution

The area is calculated by finding the cross product of adjacent sides

a × b = x(a2b3 – b2a3) + y(a3b1 – a1b3) + z(a1b2 – a2b1)

= i(-8+3) + j(-6+16) + k(4-4)

= -5i +10j

Therefore, the magnitude of area is 

Application: Dot products and cross products are extensively useful for engineering applications.


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