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 or Dot product
- Vector Product or Cross product
Table of Content
- Scalar Product/Dot Product of Vectors
- Projection of one vector on other Vector
- Properties of Scalar Product
- Inequalities Based on Dot Product
- Cross Product/Vector Product of Vectors
- Properties of Cross Product
- Cross product in Determinant Form
- Dot and Cross Product
- FAQs on Dot and Cross Products on Vectors
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, and
- α = angle between the vectors.
Projection of one vector on other Vector
Vector a can be projected on the line l as shown below:
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
- Scalar product of two vectors is always a real number (scalar).
- Scalar product is commutative i.e. a.b =b.a= |a||b| cos α
- If α is 90° then Scalar product is zero as cos(90) = 0. So, the scalar product of unit vectors in x, y directions is 0.
- If α is 0° then the scalar product is the product of magnitudes of a and b |a||b|.
- Scalar product of a unit vector with itself is 1.
- Scalar product of a vector a with itself is |a|2
- If α is 1800, the scalar product for vectors a and b is -|a||b|
- Scalar product is distributive over addition
a.(b + c) = a.b + a.c
- For any scalar k and m then,
la.(m b) = km a.b
- If the component form of the vectors is given as:
a = a1x + a2y + a3z
b = b1x + b2y + b3z
then the scalar product is given as
a.b = a1b1 + a2b2 + a3b3
- The scalar product is zero in the following cases:
- The magnitude of vector a is zero
- The magnitude of vector b is zero
- Vectors a and b are perpendicular to each other
Inequalities Based on Dot Product
There are various inequalities based on the dot product of vectors, such as:
- Cauchy – Schwartz inequality
- Triangle Inequality
Let’s discuss these in detail as follows:
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|
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.
The vector product or cross 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.
Also, if given two vectors, [Tex]\mathbf{a} = (a_1, a_2, a_3)[/Tex] and [Tex]\mathbf{b} = (b_1, b_2, b_3)[/Tex], their cross product, denoted by a × b, is calculated as:
[Tex]\mathbf{a} \times \mathbf{b} = (a_2b_3 – a_3b_2, a_3b_1 – a_1b_3, a_1b_2 – a_2b_1)[/Tex]
In case a and b are parallel vectors, the resultant shall be zero as sin(0) = 0
Properties of Cross Product
- Cross Product generates a vector quantity. The resultant is always perpendicular to both a and b.
- Cross Product of parallel vectors/collinear vectors is zero as sin(0) = 0.
i × i = j × j = k × k = 0
- Cross product of two mutually perpendicular vectors with unit magnitude each is unity. (Since sin(0)=1)
- Cross product is not commutative.
a × b is not equal to b × a
- Cross product is distributive over addition
a × (b + c) = a × b+ a × c
- If k is a scalar then,
k(a × b) = k(a) × b = a × k(b)
- On moving in a clockwise direction and taking the cross product of any two pair of the unit vectors we get the third one and in an anticlockwise direction, we get the negative resultant.
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
[Tex]\begin{array}{ccc} x & y & z \\ a 1 & a 2 & a 3 \\ b 1 & b 2 & b 3 \end{array} [/Tex]
Then, 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
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 [Tex]\sqrt{(5^2 +10^2)} [/Tex]
= [Tex]\sqrt{(25+100)} [/Tex]
= [Tex]\sqrt{(125)} =5\sqrt{5} [/Tex]
Dot and Cross Product
Some of the common differences between dot and cross product of vectors are:
Property | Dot Product | Cross Product |
---|---|---|
Definition | a⋅b = |a| |b| cos θ, where θ is the angle between the vectors. | a×b = |a| |b| sin θ n̂, where θ is the angle between the vectors, and n̂ is a unit vector perpendicular to the plane containing a and b. |
Result | Scalar | Vector |
Commutativity | Holds [a⋅b = b⋅a] | Doesn’t hold [a×b = −(b×a)] |
Direction | Scalar value, no direction | Perpendicular to the plane containing a and b |
Orthogonality | Two vectors are orthogonal if their dot product is zero. | The cross product of two non-zero vectors is orthogonal to both of them. |
Applications | Finding the angle between vectors, projection of one vector onto another | Finding torque in physics, determining normal vectors to surfaces |
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FAQs on Dot and Cross Products on Vectors
What does the dot product represent geometrically?
The dot product of two vectors represents the projection of one vector onto the other, scaled by their magnitudes and the cosine of the angle between them.
How is the dot product used in geometry?
It’s used to find angles between vectors, determine orthogonal vectors, calculate projections, and measure similarity between vectors.
What happens if the dot product of two vectors is zero?
If the dot product is zero, it means the vectors are orthogonal (perpendicular) to each other.
What does the cross product represent geometrically?
The cross product of two vectors represents a vector perpendicular to the plane containing the original vectors. Its magnitude equals the area of the parallelogram formed by the vectors.
How do you find the direction of the cross product?
Use the right-hand rule: Point your right thumb in the direction of the first vector, your index finger in the direction of the second vector, and your middle finger will point in the direction of the cross product.
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