Thursday, July 16, 2026

26.11 - Miscellaneous Examples

In the previous section, we completed a discussion on vector algebra. We saw many solved examples also. In this section, we will see some miscellaneous examples.

Solved example 26.64
Write down a unit vector in XY-plane, making an angle of 30o with the positive direction of x-axis
Solution:
1. Fig.26.36 below shows a unit vector $\mathbf\small{\vec{AB}}$ making an angle of 30o with the positive direction of x-axis.

Fig.26.36

2. It is clear that, projection of $\mathbf\small{AB}$ on the x-axis is $\mathbf\small{\left|\vec{AB} \right| \cos 30~=~(1)\left(\frac{\sqrt{3}}{2} \right)~=~\frac{\sqrt{3}}{2}}$
• So the x-component of $\mathbf\small{\vec{AB}}$ is $\mathbf\small{\left(\frac{\sqrt{3}}{2} \right)\hat{i}}$   

3. Also, it is clear that, projection of $\mathbf\small{AB}$ on the y-axis is $\mathbf\small{\left|\vec{AB} \right| \cos 60~=~(1)\left(\frac{1}{2} \right)~=~\frac{1}{2}}$
• So the y-component of $\mathbf\small{\vec{AB}}$ is $\mathbf\small{\left(\frac{1}{2} \right)\hat{j}}$

4. So the required vector is:
$\mathbf\small{\left(\frac{\sqrt{3}}{2} \right)\hat{i}~+~\left(\frac{1}{2} \right)\hat{j}}$

Solved example 26.65
A girl walks 4 km towards west, then she walks 3 km in a direction 30o east of north and stops. Determine the girl's displacement from her initial point of departure.
Solution:
1. Fig.26.37 below shows the rough sketch

Fig.26.37

   ♦ $\mathbf\small{\vec{AB}}$ indicates the initial travel
   ♦ $\mathbf\small{\vec{BC}}$ indicates the final travel
• So $\mathbf\small{\vec{AC}}$ indicates the displacement vector. We are asked to find this vector.

2. Based on the fig., we can write:
• Projection of $\small{\vec{AB}}$ on the x-axis is 4 km.
• This vector does not have any projection on the y-axis.
• So we can write: $\small{\vec{AB} = -4\hat{i}}$
• The −ve sign is required because, this vector is pointing towards the −ve side of the x-axis

3. Also, based on the fig., we can write:
• Projection of $\small{\vec{BC}}$ on the x-axis
= DC = $\small{\left|\vec{BC} \right| \sin 30 = 3 \sin 30 = \frac{3}{2}}$
• Projection of $\small{\vec{BC}}$ on the y-axis
= BD = $\small{\left|\vec{BC} \right| \cos 30 = 3 \cos 30 = \frac{3 \sqrt{3}}{2}}$
So we can write: $\small{\vec{BC} = \frac{3}{2} \hat{i} + \frac{3 \sqrt{3}}{2} \hat{j}}$

4. By triangle law of vector addition, we get:

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{AC}}    & {~=~}    &{\vec{AB}+\vec{BC}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{-4\hat{i} ~+~\frac{3}{2}\hat{i} + \frac{3 \sqrt{3}}{2} \hat{j} }
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{-\frac{5}{2}\hat{i} + \frac{3 \sqrt{3}}{2} \hat{j} }
\\ \end{array}}$

Solved example 26.66
Write all the unit vectors in the XY-plane.
Solution:
1. Fig.26.38 below shows a random vector $\mathbf\small{\vec{AB}}$ making an angle of $\small{\theta}$ with the positive direction of x-axis.

Fig.26.38

2. It is clear that, projection of $\mathbf\small{AB}$ on the x-axis is $\mathbf\small{\left|\vec{AB} \right| \cos \theta~=~(1)\left(\cos \theta \right)~=~\cos \theta}$
• So the x-component of $\mathbf\small{\vec{AB}}$ is $\mathbf\small{\left(\cos \theta \right)\hat{i}}$   

3. Also, it is clear that, projection of $\mathbf\small{AB}$ on the y-axis is $\mathbf\small{\left|\vec{AB} \right| \sin \theta~=~(1)\left(\sin \theta \right)~=~\sin \theta}$
• So the y-component of $\mathbf\small{\vec{AB}}$ is $\mathbf\small{\left(\sin \theta \right)\hat{j}}$

4. So we can write:
$\mathbf\small{\vec{AB} = \left(\cos \theta \right)\hat{i} + \left(\sin \theta \right)\hat{j}}$

5. The above result is the general form. For any particular unit vector, all we need to do is to input the value of $\small{\theta}$ of that particular unit vector.
• We know that, $\small{\theta}$ can vary from zero to $\small{2 \pi}$.

6. So we can write:
• All unit vectors in the XY plane, are represented by the vector:
$\mathbf\small{\left(\cos \theta \right)\hat{i} + \left(\sin \theta \right)\hat{j}}$, where $\small{\theta}$ falls in the interval $\small{\left[0, 2 \pi \right]}$

Solved example 26.67
If $\small{\hat{i}+\hat{j}+\hat{k},~2\hat{i}+2\hat{j},~3\hat{i}+5\hat{j}-3\hat{k}}$ and $\small{\hat{i}-6\hat{j}-\hat{k}}$ are the position vectors of points A, B, C and D respectively, then find the angle between $\small{\vec{AB}~\text{and}~\vec{CD}}$. Deduce that $\small{\vec{AB}~\text{and}~\vec{CD}}$ are collinear.
Solution:
1.Based on the given position vectors, we get:
$\small{\vec{AB} = \hat{i}+4\hat{j}-\hat{k}}$
$\small{\vec{CD} = -2\hat{i}-8\hat{j}+2\hat{k}}$
2. Let $\small{\theta}$ be the angle between $\small{\vec{AB}~\text{and}~\vec{CD}}$.
We have: $\small{\theta=\cos^{-1}\left(\frac{\vec{AB}.\vec{CD}}{\left|\vec{AB}\right|\,\left|\vec{CD}\right|} \right)}$
3. So first we need to find $\small{\vec{AB}.\vec{CD}}$
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{AB}.\vec{CD}}    & {~=~}    &{a_1 b_1 + a_2 b_2 + a_3 b_3}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{(1)(-2)+(4)(-8)+(-1)(2)}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{-2-32-2}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{-36}
\\ \end{array}}$
4. Next we need to find the magnitudes:
$\small{\left|\vec{AB}\right|=\sqrt{1^2 + 4^2 + (-1)^2}=\sqrt{18}}$
$\small{\left|\vec{CD}\right|=\sqrt{(-2)^2 + (-8)^2 + 2^2}=\sqrt{72}}$
5. Substituting the above values in (1), we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\theta}    & {~=~}    &{\cos^{-1}\left(\frac{\vec{AB}.\vec{CD}}{\left|\vec{AB}\right|\,\left|\vec{CD}\right|} \right)}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\cos^{-1}\left(\frac{-36}{(\sqrt{18})(\sqrt{72})} \right) = \cos^{-1}\left(\frac{-36}{(\sqrt{18})(\sqrt{(2)(36)})} \right)}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\cos^{-1}\left(\frac{(-1)\sqrt{(36)(36)}}{(\sqrt{18})(\sqrt{(2)(36)})} \right) = \cos^{-1}\left(\frac{(-1)\sqrt{(36)}}{(\sqrt{18})(\sqrt{(2)})} \right)}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{\cos^{-1}\left(-1 \right)~=~\pi}
\\ \end{array}}$
6. The angle between $\small{\vec{AB}~\text{and}~\vec{CD}}$ is $\small{\pi}$. So the two vectors are collinear.

Alternate method to prove collinearity:

1. Take the ratios of the scalar components of $\small{\vec{AB}~\text{and}~\vec{CD}}$:
$\small{\frac{1}{-2},~\frac{4}{-8},~\text{and}~\frac{1}{-2}}$

2. We see that, all ratios are the same, which is $\small{-\frac{1}{2}}$
• So we can write: $\small{\vec{AB}=-\frac{1}{2} \vec{CD}}$
Which implies that, the two vectors are collinear.

Solved example 26.68
Let $\small{\vec{a},~\vec{b}~\text{and}~\vec{c}}$ be three vectors such that $\small{\left|\vec{a} \right|=3,~\left|\vec{b} \right|=4,~\left|\vec{c} \right|=5}$ and each one of them being perpendicular to the sum of the other two, find  $\small{\left|\vec{a}+\vec{b}+\vec{c} \right|}$.
Solution:
1.Given that:
Each vector is perpendicular to the sum of the other two.
• So we can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}.\left(\vec{b}+\vec{c} \right)}    & {~=~}    &{0}
\\ {~\color{magenta}    2    }    &{{}}    &{\vec{b}.\left(\vec{a}+\vec{c} \right)}    & {~=~}    &{0}
\\ {~\color{magenta}    3    }    &{{}}    &{\vec{c}.\left(\vec{a}+\vec{b} \right)}    & {~=~}    &{0}
\\ \end{array}}$
2. So we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\left[\left|\vec{a}+\vec{b}+\vec{c} \right| \right]^2}    & {~=~}    &{\left(\vec{a}+\vec{b}+\vec{c} \right).\left(\vec{a}+\vec{b}+\vec{c} \right)}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{~~~~~~~\vec{a}.\vec{a}+\vec{a}.\left(\vec{b}+\vec{c} \right)}
\\ {    }    &{}    &{}    & {}    &{~+~\vec{b}.\vec{b}+\vec{b}.\left(\vec{a}+\vec{c} \right)}
\\ {    }    &{}    &{}    & {}    &{~+~\vec{c}.\vec{c}+\vec{c}.\left(\vec{a}+\vec{b} \right)}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{~~~~~~~\vec{a}.\vec{a}+0}
\\ {    }    &{}    &{}    & {}    &{~+~\vec{b}.\vec{b}+0}
\\ {    }    &{}    &{}    & {}    &{~+~\vec{c}.\vec{c}+0}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{\left|\vec{a} \right|^2+~\left|\vec{b} \right|^2~+~\left|\vec{c} \right|^2}
\\ {~\color{magenta}    5    }    &{}    &{}    & {~=~}    &{9 + 16 + 25 = 50}
\\ {~\color{magenta}    6    }    &{\Rightarrow}    &{\left|\vec{a}+\vec{b}+\vec{c} \right|}    & {~=~}    &{\sqrt{50}~=~5\sqrt{2}}
\\ \end{array}}$

Solved example 26.69
Three vectors $\small{\vec{a},~\vec{b},~\vec{c}}$ satisfy the condition $\small{\vec{a}+\vec{b}+\vec{c}=\vec{0}}$. Evaluate the quantity $\small{\mu=\vec{a}.\vec{b}+\vec{b}.\vec{c}+\vec{c}.\vec{a}}$, if $\small{\left|\vec{a} \right|=1,~\left|\vec{b} \right|=4,~\left|\vec{c} \right|=2}$
Solution:
1. Given that:

$\small{\vec{a}+\vec{b}+\vec{c}=\vec{0}}$
Multiplying both sides by $\small{\vec{a}}$, we get:

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}.\left[\vec{a}+\vec{b}+\vec{c} \right]}    & {~=~}    &{\vec{a}.\vec{0}}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\vec{a}.\vec{a}+\vec{a}.\vec{b}+\vec{a}.\vec{c}}    & {~=~}    &{0}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{1+\vec{a}.\vec{b}+\vec{a}.\vec{c}}    & {~=~}    &{0}
\\ \end{array}}$

2. Multiplying both sides by $\small{\vec{b}}$, we get:

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{b}.\left[\vec{a}+\vec{b}+\vec{c} \right]}    & {~=~}    &{\vec{b}.\vec{0}}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\vec{b}.\vec{a}+\vec{b}.\vec{b}+\vec{b}.\vec{c}}    & {~=~}    &{0}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{\vec{b}.\vec{a}+16+\vec{b}.\vec{c}}    & {~=~}    &{0}
\\ \end{array}}$

3. Multiplying both sides by $\small{\vec{c}}$, we get:

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{c}.\left[\vec{a}+\vec{b}+\vec{c} \right]}    & {~=~}    &{\vec{c}.\vec{0}}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\vec{c}.\vec{a}+\vec{c}.\vec{b}+\vec{c}.\vec{c}}    & {~=~}    &{0}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{\vec{c}.\vec{a}+\vec{c}.\vec{b}+4}    & {~=~}    &{0}
\\ \end{array}}$

4. We have three results:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{1+\vec{a}.\vec{b}+\vec{a}.\vec{c}}    & {~=~}    &{0}
\\ {~\color{magenta}    2    }    &{}    &{\vec{b}.\vec{a}+16+\vec{b}.\vec{c}}    & {~=~}    &{0}
\\ {~\color{magenta}    3    }    &{}    &{\vec{c}.\vec{a}+\vec{c}.\vec{b}+4}    & {~=~}    &{0}
\\ \end{array}}$

5. Adding the L.H.S together, we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{21 + 2\vec{a}.\vec{b} + 2\vec{b}.\vec{c} + 2\vec{c}.\vec{a}}    & {~=~}    &{0}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{21 + 2\left(\vec{a}.\vec{b} + \vec{b}.\vec{c} + \vec{c}.\vec{a} \right)}    & {~=~}    &{0}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{ 2\left(\vec{a}.\vec{b} + \vec{b}.\vec{c} + \vec{c}.\vec{a} \right)}    & {~=~}    &{-21}
\\ {~\color{magenta}    4    }    &{\Rightarrow}    &{ \vec{a}.\vec{b} + \vec{b}.\vec{c} + \vec{c}.\vec{a} }    & {~=~}    &{\frac{-21}{2}}
\\ {~\color{magenta}    5    }    &{\Rightarrow}    &{\mu}    & {~=~}    &{\frac{-21}{2}}
\\ \end{array}}$

Solved example 26.70
Let $\small{\vec{a}=\hat{i}+4\hat{j}+2\hat{k},~\vec{b}=3\hat{i}-2\hat{j}+7\hat{k}~\text{and}~\vec{c}=2\hat{i}-\hat{j}+4\hat{k}}$. Find a vector $\small{\vec{d}}$, which is perpendicular to both $\small{\vec{a}~\text{and}~\vec{b},~\text{and}~\vec{c}.\vec{d}=15}$
Solution:
1. We want a vector perpendicular to both $\small{\vec{a}~\text{and}~\vec{b}}$
• We know that $\small{\vec{a}\times\vec{b}}$ is a vector which is perpendicular to both $\small{\vec{a}~\text{and}~\vec{b}}$
• So first, we will find this cross product.

2. The cross product is:
$\small{\vec{a}\times\vec{b}=32\hat{i}-\hat{j}-14\hat{k}}$
• The reader may write all the steps related to this cross product

3. So $\small{32\hat{i}-\hat{j}-14\hat{k}}$ is perpendicular to both $\small{\vec{a}~\text{and}~\vec{b}}$
• Then $\small{\lambda \left(32\hat{i}-\hat{j}-14\hat{k} \right)}$ is also perpendicular to both $\small{\vec{a}~\text{and}~\vec{b}}$, where $\small{\lambda}$ is a scalar.
• That means, $\small{32 \lambda \hat{i}-\lambda \hat{j}-14 \lambda \hat{k}}$ is perpendicular to both $\small{\vec{a}~\text{and}~\vec{b}}$

4. We will assume that, the vector written above is the required vector $\small{\vec{d}}$.
• That is., we assume:
$\small{\vec{d} = 32 \lambda \hat{i}-\lambda \hat{j}-14 \lambda \hat{k}}$

5. But $\small{\vec{d}}$ must satisfy the condition:
$\small{\vec{c}.\vec{d}=15}$
• So we can write:
$\small{\left(2\hat{i}-\hat{j}+4\hat{k} \right).\left(32 \lambda \hat{i}-\lambda \hat{j}-14 \lambda \hat{k} \right)=15}$
• Therefore we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{(2)(32 \lambda)+(-1)(-1)(\lambda)+(4)(-1)(14 \lambda)}    & {~=~}    &{15}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{64\lambda + \lambda - 56\lambda}    & {~=~}    &{15}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{9 \lambda}    & {~=~}    &{15}
\\ {~\color{magenta}    4    }    &{\Rightarrow}    &{ \lambda}    & {~=~}    &{\frac{15}{9}}
\\ {~\color{magenta}    5    }    &{\Rightarrow}    &{ \lambda}    & {~=~}    &{\frac{5}{3}}
\\ \end{array}}$

6. So based on step (4), we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{d}}    & {~=~}    &{32 \lambda \hat{i}-\lambda \hat{j}-14 \lambda \hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{32 \left(\frac{5}{3} \right) \hat{i}-\left(\frac{5}{3} \right) \hat{j}-14 \left(\frac{5}{3} \right) \hat{k}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\frac{1}{3}\left( 160  \hat{i}- 5\hat{j}-70  \hat{k} \right)}
\\ \end{array}}$

Solved example 26.71
If with reference to the right handed system of mutually perpendicular unit vectors $\small{\hat{i},~\hat{j}~\text{and}~\hat{k},~\vec{\alpha}=3\hat{i}-\hat{j},~\vec{\beta}=2\hat{i}+\hat{j}-3\hat{k}}$, then express $\small{\vec{\beta}}$ in the form $\small{\vec{\beta}=\vec{\beta_1}+\vec{\beta_2}}$, where $\small{\vec{\beta_1}}$ is parallel to $\small{\vec{\alpha}}$ and $\small{\vec{\beta_2}}$ is perpendicular to $\small{\vec{\alpha}}$
Solution:
1. We want $\small{\vec{\beta_1}}$ to be parallel to $\small{\vec{\alpha}}$.
• So we can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{\beta_1}}    & {~=~}    &{\lambda\,\vec{\alpha}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left(3\lambda \right)\hat{i}-\left(\lambda \right)\hat{j}}
\\ \end{array}}$

2. Given that: $\small{\vec{\beta}=\vec{\beta_1}+\vec{\beta_2}}$
• So we can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{\beta}}    & {~=~}    &{\vec{\beta_1}+\vec{\beta_2}}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\vec{\beta_2}}    & {~=~}    &{\vec{\beta}~-~\vec{\beta_1}}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{\vec{\beta_2}}    & {~=~}    &{2\hat{i}+\hat{j}-3\hat{k}~-~\left[\left(3\lambda \right)\hat{i}-\left(\lambda \right)\hat{j} \right]}
\\ {~\color{magenta}    4    }    &{\Rightarrow}    &{\vec{\beta_2}}    & {~=~}    &{\left(2 - 3\lambda \right)\hat{i}+\left(1+\lambda \right)\hat{j}-3\hat{k}}
\\ \end{array}}$

3. $\small{\vec{\beta_2}}$ should be perpendicular to $\small{\vec{\alpha}}$. So their dot product will be zero.
• We can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{\alpha}.\vec{\beta_2}}    & {~=~}    &{0}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\left[\left(2 - 3\lambda \right)\hat{i}+\left(1+\lambda \right)\hat{j}-3\hat{k} \right].\left[3\hat{i}-\hat{j} \right]}    & {~=~}    &{0}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{\left(2 - 3\lambda \right)(3)~+~\left(1+\lambda \right)(-1)}    & {~=~}    &{0}
\\ {~\color{magenta}    4    }    &{\Rightarrow}    &{6 - 9\lambda - 1 - \lambda}    & {~=~}    &{0}
\\ {~\color{magenta}    5    }    &{\Rightarrow}    &{5 - 10\lambda}    & {~=~}    &{0}
\\ {~\color{magenta}    6    }    &{\Rightarrow}    &{\lambda}    & {~=~}    &{\frac{1}{2}}
\\ \end{array}}$

4. So from step (1), we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{\beta_1}}    & {~=~}    &{\left(3\lambda \right)\hat{i}-\left(\lambda \right)\hat{j}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left(\frac{3}{2} \right)\hat{i}-\left(\frac{1}{2} \right)\hat{j}}
\\ \end{array}}$

5. Also, from step (2), we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{\beta_2}}    & {~=~}    &{\left(2 - 3\lambda \right)\hat{i}+\left(1+\lambda \right)\hat{j}-3\hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left(2 - 3\left(\frac{1}{2} \right) \right)\hat{i}+\left(1+\left(\frac{1}{2} \right) \right)\hat{j}-3\hat{k}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\left(\frac{1}{2}  \right)\hat{i}+\left(\frac{3}{2}  \right)\hat{j}-3\hat{k}}
\\ \end{array}}$


The link below gives a few more miscellaneous examples:

Miscellaneous Exercise


In the next chapter, we will see Three dimensional geometry.

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Sunday, July 5, 2026

26.10 - Cross Product of Two Vectors

In the previous section, we completed a discussion on dot product of two vectors. We saw projection of a vector also. In this section, we will see cross product of two vectors.

Vector (or cross) product of two vectors

We have already seen the basic details about vector product in chapter 7 of our physics classes. Let us recall:
1. We have seen right handed screws and left handed screws in section 7.10.
2. We have seen the direction of the cross product in section 7.11.
3. We have seen the magnitude of the cross product in section 7.12.
4. So we can write:
$\mathbf\small{\vec{a}\times \vec{b}~=~\left|\vec{a} \right|\left|\vec{b} \right|\sin\theta \,\hat{n}}$


Let us write the important properties of cross product:
1. $\mathbf\small{\vec{a}\times\vec{b}}$ is a vector

2. If $\mathbf\small{\vec{a}~\text{and}~\vec{b}}$ are two nonzero vectors, then $\mathbf\small{\vec{a}\times\vec{b}~=~\vec{0}}$ if and only if $\mathbf\small{\vec{a}~\text{and}~\vec{b}}$ are parallel (or collinear) to each other. We can write:
$\mathbf\small{\vec{a}\times\vec{b}~=~\vec{0}~\Leftrightarrow~\vec{a}{\parallel} \vec{b}}$
Let us see two specific cases:
Case 1:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times \vec{a}}    & {~=~}    &{\left|\vec{a} \right|\left|\vec{a} \right|\sin(0) \,\hat{n}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left|\vec{a} \right|\left|\vec{a} \right|(0) \,\hat{n}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\vec{0}}
\\ \end{array}}$

Case 2:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times \left(-\vec{a} \right)}    & {~=~}    &{\left|\vec{a} \right|\left|-\vec{a} \right|\sin(\pi) \,\hat{n}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left|\vec{a} \right|\left|-\vec{a} \right|(0) \,\hat{n}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\vec{0}}
\\ \end{array}}$

3. Let $\mathbf\small{\vec{a}~\text{and}~\vec{b}}$ be two nonzero vectors. Let the angle $\mathbf\small{\theta}$ between them be $\mathbf\small{\frac{\pi}{2}}$. Then we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times \vec{b}}    & {~=~}    &{\left|\vec{a} \right|\left|\vec{b} \right|\sin(\frac{\pi}{2}) \,\hat{n}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left|\vec{a} \right|\left|\vec{b} \right|(1) \,\hat{n}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\left|\vec{a} \right|\left|\vec{b} \right| \,\hat{n}}
\\ \end{array}}$

4. Based on (2) and (3), we get some interesting results:
• Based on (2), we get:
$\mathbf\small{\hat{i}\times\hat{i}~=~\hat{j}\times\hat{j}~=~\hat{k}\times\hat{k}~=~\vec{0}}$
• Based on (3), we get:
    ♦ $\mathbf\small{\hat{i}\times\hat{j}~=~\hat{k}}$
    ♦ $\mathbf\small{\hat{j}\times\hat{k}~=~\hat{i}}$
    ♦ $\mathbf\small{\hat{k}\times\hat{i}~=~\hat{j}}$
Also see fig.7.63 and fig.7.64(a) of section 7.12 of physics notes

5. Let $\mathbf\small{\vec{a}~\text{and}~\vec{b}}$ be two nonzero vectors. Let the angle $\mathbf\small{\theta}$ between them be $\mathbf\small{\theta}$. Then we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\left|\vec{a}\times \vec{b} \right|}    & {~=~}    &{\left|\vec{a} \right|\left|\vec{b} \right|\sin\theta}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\sin \theta}    & {~=~}    &{\frac{\left|\vec{a}\times \vec{b} \right|}{\left|\vec{a} \right|\left|\vec{b} \right|}}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{ \theta}    & {~=~}    &{\sin^{-1}\left(\frac{\left|\vec{a}\times \vec{b} \right|}{\left|\vec{a} \right|\left|\vec{b} \right|} \right)}
\\ \end{array}}$

6. It is always true that, vector product is not commutative. This is because, $\mathbf\small{\vec{a}\times \vec{b}~=~-\left(\vec{b}\times \vec{a} \right)}$
• Assume that, both $\mathbf\small{\vec{a}~\text{and}~\vec{b}}$ lie on the plane of the paper.
• Also assume that, $\mathbf\small{\vec{a}\times\vec{b}}$ is directed towards the upper side of the plane of the paper.
• Then $\mathbf\small{\vec{b}\times\vec{a}}$ will be directed towards the bottom side of the plane of the paper.
• This is because:
    ♦ For $\mathbf\small{\vec{a}\times\vec{b}}$, we rotate the right handed screw from $\mathbf\small{\vec{a}~\text{to}~\vec{b}}$
    ♦ For $\mathbf\small{\vec{b}\times\vec{a}}$, we rotate the right handed screw from $\mathbf\small{\vec{b}~\text{to}~\vec{a}}$

7. Based on (4) and (6), we can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\hat{i}\times \hat{j} }    & {~=~}    &{\hat{k}}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\hat{j}\times \hat{i}}    & {~=~}    &{-\left(\hat{i}\times \hat{j} \right)}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{\hat{j}\times \hat{i}}    & {~=~}    &{-\hat{k}}
\\ \end{array}}$

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\hat{j}\times \hat{k} }    & {~=~}    &{\hat{i}}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\hat{k}\times \hat{j}}    & {~=~}    &{-\left(\hat{j}\times \hat{k} \right)}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{\hat{k}\times \hat{j}}    & {~=~}    &{-\hat{i}}
\\ \end{array}}$

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\hat{k}\times \hat{i} }    & {~=~}    &{\hat{j}}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\hat{i}\times \hat{k}}    & {~=~}    &{-\left(\hat{k}\times \hat{i} \right)}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{\hat{i}\times \hat{k}}    & {~=~}    &{-\hat{j}}
\\ \end{array}}$

8. The fig.26.30 below, shows triangle ABC.

Fig.26.30

• $\mathbf\small{\vec{AC}= \vec{a}~\text{and}~\vec{AB}=\vec{b}}$
• So $\mathbf\small{\vec{a}~\text{and}~\vec{b}}$ represent the adjacent sides of the triangle ABC
• We know that, area of the triangle ABC = $\mathbf\small{\frac{1}{2}\left(\left|\vec{AB} \right| \right)\left(CD \right)}$
• But $\mathbf\small{CD = \left|\vec{AC} \right|\sin\theta=\left|\vec{a} \right|\sin\theta}$
• So area of the triangle ABC
=  $\mathbf\small{\frac{1}{2}\left(\left|\vec{AB} \right| \right)\left(\left|\vec{a} \right|\sin\theta \right)}$
=  $\mathbf\small{\frac{1}{2}\left(\left|\vec{b} \right| \right)\left(\left|\vec{a} \right|\sin\theta \right)}$
=  $\mathbf\small{\frac{1}{2}\left(\left|\vec{a}\times\vec{b} \right| \right)}$
• We can write:
Area of the triangle is equal to half of the magnitude of the cross product

9. The fig.26.31 below, shows parallelogram ABCD.

Fig.26.31

• $\mathbf\small{\vec{AD}= \vec{a}~\text{and}~\vec{AB}=\vec{b}}$
• So $\mathbf\small{\vec{a}~\text{and}~\vec{b}}$ represent the adjacent sides of the parallelogram ABCD.
• We know that, area of the parallelogram ABCD = $\mathbf\small{\left(\left|\vec{AB} \right| \right)\left(DE \right)}$
• But $\mathbf\small{DE = \left|\vec{AD} \right|\sin\theta=\left|\vec{a} \right|\sin\theta}$
• So area of the parallelogram ABCD
=  $\mathbf\small{\left(\left|\vec{AB} \right| \right)\left( \left|\vec{a} \right| \sin\theta \right)}$
=  $\mathbf\small{\frac{1}{2}\left(\left|\vec{b} \right| \right)\left( \left|\vec{a} \right|\sin\theta \right)}$
=  $\mathbf\small{\left(\left|\vec{a}\times\vec{b} \right| \right)}$
• We can write:
Area of the parallelogram is equal to the magnitude of the cross product

10. Vector product of two vectors is also known as cross product of two vectors.


Two important properties of cross product

Property I: Distributivity of cross product over addition
This can be explained as below:
Let $\small{\vec{a},~\vec{b},~\vec{c}}$ be any three vectors. Then we can write:
$\small{\vec{a}\times\left(\vec{b}+\vec{c} \right)~=~\vec{a}\times\vec{b}+\vec{a}\times\vec{c}}$

Property II: Distributivity of cross product over multiplication
This can be explained as below:
Let $\small{\vec{a}~\text{and}~\vec{b}}$ be any two vectors and $\small{\lambda}$ be any scalar. Then we can write:
$\small{\lambda \left(\vec{a}\times\vec{b} \right) ~=~\left(\lambda \vec{a}\right)\times\vec{b} ~=~\vec{a}\times\left(\lambda\vec{b} \right)}$


Cross product when vectors are given in component form

• Let the two vectors be:
$\small{\vec{a}=a_1\hat{i}+a_2\hat{j}+a_3\hat{k}}$
$\small{\vec{b}=b_1\hat{i}+b_2\hat{j}+b_3\hat{k}}$
• Then we can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times\vec{b}}    & {~=~}    &{\left(a_1\hat{i}+a_2\hat{j}+a_3\hat{k} \right)\times\left(b_1\hat{i}+b_2\hat{j}+b_3\hat{k} \right)}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{a_1\hat{i}\times\left(b_1\hat{i}+b_2\hat{j}+b_3\hat{k} \right)}
\\ {~\color{magenta}    {}   }    &{}    &{}    & {}    &{+~a_2\hat{j}\times\left(b_1\hat{i}+b_2\hat{j}+b_3\hat{k} \right)}
\\ {~\color{magenta}    {}   }    &{}    &{}    & {}    &{+~a_3\hat{k}\times\left(b_1\hat{i}+b_2\hat{j}+b_3\hat{k} \right)}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{a_1 b_1\left(\hat{i}\times\hat{i}\right)+a_1 b_2\left(\hat{i}\times\hat{j}\right)+a_1 b_3\left(\hat{i}\times\hat{k}\right)}
\\ {~\color{magenta}    {}   }    &{}    &{}    & {}    &{+~a_2 b_1\left(\hat{j}\times\hat{i}\right)+a_2 b_2\left(\hat{j}\times\hat{j}\right)+a_2 b_3\left(\hat{j}\times\hat{k}\right)}
\\ {~\color{magenta}    {}   }    &{}    &{}    & {}    &{+~a_3 b_1\left(\hat{k}\times\hat{i}\right)+a_3 b_2\left(\hat{k}\times\hat{j}\right)+a_3 b_3\left(\hat{k}\times\hat{k}\right)}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{a_1 b_1\left(\vec{0}\right)+a_1 b_2\left(\hat{k}\right)+a_1 b_3\left(-\hat{j}\right)}
\\ {~\color{magenta}    {}   }    &{}    &{}    & {}    &{+~a_2 b_1\left(-\hat{k}\right)+a_2 b_2\left(\vec{0}\right)+a_2 b_3\left(\hat{i}\right)}
\\ {~\color{magenta}    {}   }    &{}    &{}    & {}    &{+~a_3 b_1\left(\hat{j}\right)+a_3 b_2\left(-\hat{i}\right)+a_3 b_3\left(\vec{0}\right)}
\\ {~\color{magenta}    5   }    &{}    &{}    & {~=~}    &{\left(a_2 b_3 - a_3 b_2 \right)\hat{i} + \left(a_3 b_1 - a_1 b_3 \right)\hat{j} + \left(a_1 b_2 - a_2 b_1 \right)\hat{k}}
\\ {~\color{magenta}    6   }    &{}    &{}    & {~=~}    &{\left(a_2 b_3 - a_3 b_2 \right)\hat{i} - \left(a_1 b_3 - a_3 b_1 \right)\hat{j} + \left(a_1 b_2 - a_2 b_1 \right)\hat{k}}
\\ \end{array}}$

• The above result is equivalent to the determinant as shown below:

$\vec{a}\times\vec{b}~=~\left|\begin{array}{r}                             \hat{i}     &{    \hat{j}     }    &{    \hat{k}      }    \\ a_{1}      &{    a_{2}     }    &{   a_{3}      }    
\\ b_{1}      &{    b_{2}     }    &{ b_{3}        }    
\\ \end{array}\right|$


Now we will see some solved examples.

Solved example 26.55
Find $\mathbf\small{\left|\vec{a}\times\vec{b} \right|}$, if $\mathbf\small{\vec{a}=2\hat{i}+\hat{j}+\hat{k}~\text{and}~\vec{b}=3\hat{i}+5\hat{j}-2\hat{k}}$
Solution:
1. We have:
$\vec{a}\times\vec{b}~=~\left|\begin{array}{r}                             \hat{i}     &{    \hat{j}     }    &{    \hat{k}      }    \\ 2      &{    1     }    &{   3      }    
\\ 3      &{    5     }    &{ -2        }    
\\ \end{array}\right|$

2. So we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times\vec{b}}    & {~=~}    &{\left(-2 - 15 \right)\hat{i} - \left(-4 - 9 \right)\hat{j} + \left(10 - 3 \right)\hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{-17\hat{i}+13\hat{j}+7\hat{k}}
\\ \end{array}}$

3. Therefore,
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\left|\vec{a}\times\vec{b} \right|}    & {~=~}    &{\sqrt{(-17)^2 + (13)^2 + (7)^2}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\sqrt{507}}
\\ \end{array}}$

Solved example 26.56
Find $\mathbf\small{\left|\vec{a}\times\vec{b} \right|}$, if $\mathbf\small{\vec{a}=\hat{i}-7\hat{j}+7\hat{k}~\text{and}~\vec{b}=3\hat{i}-2\hat{j}+2\hat{k}}$
Solution:
1. We have:
$\vec{a}\times\vec{b}~=~\left|\begin{array}{r}                             \hat{i}     &{    \hat{j}     }    &{    \hat{k}      }    \\ 1      &{    -7     }    &{   7      }    
\\ 3      &{    -2     }    &{ 2        }    
\\ \end{array}\right|$

2. So we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times\vec{b}}    & {~=~}    &{\left(-2 - 15 \right)\hat{i} - \left(-4 - 9 \right)\hat{j} + \left(10 - 3 \right)\hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{-17\hat{i}+13\hat{j}+7\hat{k}}
\\ \end{array}}$

3. Therefore,
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\left|\vec{a}\times\vec{b} \right|}    & {~=~}    &{\sqrt{(19)^2 + (19)^2}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{19\sqrt{2}}
\\ \end{array}}$

Solved example 26.57
Find a unit vector perpendicular to each of the vectors $\mathbf\small{\left(\vec{a}+\vec{b} \right)~\text{and}~\left(\vec{a}-\vec{b} \right)}$, where $\mathbf\small{\vec{a}=\hat{i}+\hat{j}+\hat{k}~\text{and}~\vec{b}=\hat{i}+2\hat{j}+3\hat{k}}$
Solution:
1. We have:
• $\mathbf\small{\vec{c}=\left(\vec{a}+\vec{b} \right)=2\hat{i}+3\hat{j}+4\hat{k}}$
• $\mathbf\small{\vec{d}=\left(\vec{a}-\vec{b} \right)=-\hat{j}-2\hat{k}}$

2. We are asked to find a unit vector perpendicular to both $\mathbf\small{\vec{c}~\text{and}~\vec{d}}$
• We know that:
$\mathbf\small{\vec{c}\times\vec{d}}$ will be perpendicular to both $\mathbf\small{\vec{c}~\text{and}~\vec{d}}$
• So we will first write this cross product. We have:
$\vec{c}\times\vec{d}~=~\left|\begin{array}{r}                             \hat{i}     &{    \hat{j}     }    &{    \hat{k}      }    \\ 2      &{    3     }    &{   4      }    
\\ 0      &{    -1     }    &{ -2        }    
\\ \end{array}\right|$

• So we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{c}\times\vec{d}}    & {~=~}    &{\left(-6 + 4 \right)\hat{i} - \left(-4 - 0 \right)\hat{j} + \left(-2 - 0 \right)\hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{-2\hat{i}+4\hat{j}-2\hat{k}}
\\ \end{array}}$

3. Let $\mathbf\small{\vec{f}~=~\vec{c}\times\vec{d}}$
• Then $\mathbf\small{\hat{f}}$ is a required vector.
We have: $\mathbf\small{\hat{f}=\frac{\vec{f}}{\left|\vec{f} \right|}}$
= $\mathbf\small{\frac{-2\hat{i}+4\hat{j}-2\hat{k}}{\sqrt{(-2)^2 + (4)^2+(-2)^2}}~=~\frac{-2\hat{i}+4\hat{j}-2\hat{k}}{\sqrt{24}}}$
= $\mathbf\small{\frac{-2\hat{i}+4\hat{j}-2\hat{k}}{2\sqrt{6}}~=~\frac{-\hat{i}+2\hat{j}-\hat{k}}{\sqrt{6}}}$

4. Note:
We have a plane in which $\mathbf\small{\vec{c}~\text{and}~\vec{d}}$ lie. The unit vector $\mathbf\small{\hat{f}}$ is perpendicular to that plane. Consequently, $\mathbf\small{-\hat{f}}$ will also be perpendicular to that plane. We would have obtained $\mathbf\small{-\hat{f}}$, if we had started with $\mathbf\small{\vec{d}\times\vec{c}}$ instead of $\mathbf\small{\vec{c}\times\vec{d}}$ in step (2)

Solved example 26.58
Find a unit vector perpendicular to each of the vectors $\mathbf\small{\left(\vec{a}+\vec{b} \right)~\text{and}~\left(\vec{a}-\vec{b} \right)}$, where $\mathbf\small{\vec{a}=3\hat{i}+2\hat{j}+2\hat{k}~\text{and}~\vec{b}=\hat{i}+2\hat{j}-2\hat{k}}$
Solution:
1. We have:
• $\mathbf\small{\vec{c}=\left(\vec{a}+\vec{b} \right)=4\hat{i}+4\hat{j}}$
• $\mathbf\small{\vec{d}=\left(\vec{a}-\vec{b} \right)=-2\hat{i}+4\hat{k}}$

2. We are asked to find a unit vector perpendicular to both $\mathbf\small{\vec{c}~\text{and}~\vec{d}}$
• We know that:
$\mathbf\small{\vec{c}\times\vec{d}}$ will be perpendicular to both $\mathbf\small{\vec{c}~\text{and}~\vec{d}}$
• So we will first write this cross product. We have:
$\vec{c}\times\vec{d}~=~\left|\begin{array}{r}                             \hat{i}     &{    \hat{j}     }    &{    \hat{k}      }    \\ 4      &{    4     }    &{   0      }    
\\ -2      &{    0     }    &{ 4        }    
\\ \end{array}\right|$
• So we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{c}\times\vec{d}}    & {~=~}    &{\left(16 - 0 \right)\hat{i} - \left(16 - 0 \right)\hat{j} + \left(0+8 \right)\hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{16\hat{i}-16\hat{j}+8\hat{k}}
\\ \end{array}}$

3. Let $\mathbf\small{\vec{f}~=~\vec{c}\times\vec{d}}$
• Then $\mathbf\small{\hat{f}}$ is a required unit vector.
We have: $\mathbf\small{\hat{f}=\frac{\vec{f}}{\left|\vec{f} \right|}}$
= $\mathbf\small{\frac{16\hat{i}-16\hat{j}+8\hat{k}}{\sqrt{(16)^2 + (-16)^2+(8)^2}}~=~\frac{16\hat{i}-16\hat{j}+8\hat{k}}{24}}$
= $\mathbf\small{\frac{2\hat{i}-2\hat{j}+\hat{k}}{3}}$

4. Note:
We have a plane in which $\mathbf\small{\vec{c}~\text{and}~\vec{d}}$ lie. The unit vector $\mathbf\small{\hat{f}}$ is perpendicular to that plane. Consequently, $\mathbf\small{-\hat{f}}$ will also be perpendicular to that plane. We would have obtained $\mathbf\small{-\hat{f}}$, if we had started with $\mathbf\small{\vec{d}\times\vec{c}}$ instead of $\mathbf\small{\vec{c}\times\vec{d}}$ in step (2)

Solved example 26.59
Find the area of a triangle having the points A(1,1,1), B(1,2,3) and C(2,3,1) as it's vertices
Solution:
1. Fig.26.32 below shows the rough sketch:


Fig.26.32

2. Based on the rough sketch, we can write:
$\mathbf\small{\vec{a}= \vec{AB}=\hat{j}+2\hat{k}}$
$\mathbf\small{\vec{b}= \vec{AC}=\hat{i}+2\hat{j}}$

3. We have:
$\vec{a}\times\vec{b}~=~\left|\begin{array}{r}                             \hat{i}     &{    \hat{j}     }    &{    \hat{k}      }    \\ 0      &{    1     }    &{   2      }    
\\ 1      &{    2     }    &{ 0        }    
\\ \end{array}\right|$

4. So we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times\vec{b}}    & {~=~}    &{\left(0 - 4 \right)\hat{i} - \left(0 - 2 \right)\hat{j} + \left(0 - 1 \right)\hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{-4\hat{i}+2\hat{j}-\hat{k}}
\\ \end{array}}$

5. Then,
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\left|\vec{a}\times\vec{b} \right|}    & {~=~}    &{\sqrt{(-4)^2 + (2)^2 + (-1)^2}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\sqrt{21}}
\\ \end{array}}$

6. Therefore,
Area of triangle ABC
= $\mathbf\small{\frac{1}{2}\left(\left|\vec{a}\times\vec{b} \right| \right)~=~\frac{\sqrt{21}}{2}}$

Solved example 26.60
Find the area of a triangle with vertices A(1,1,2), B(2,3,5) and C(1,5,5).
Solution:
1. Fig.26.33 below shows the rough sketch:

Fig.26.33

2. Based on the rough sketch, we can write:
$\mathbf\small{\vec{a}= \vec{AB}=\hat{i}+2\hat{j}+3\hat{k}}$
$\mathbf\small{\vec{b}= \vec{AC}=4\hat{j}+3\hat{k}}$

3. We have:
$\vec{a}\times\vec{b}~=~\left|\begin{array}{r}                             \hat{i}     &{    \hat{j}     }    &{    \hat{k}      }    \\ 1      &{    2     }    &{   3      }    
\\ 0      &{    4     }    &{ 3        }    
\\ \end{array}\right|$

4. So we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times\vec{b}}    & {~=~}    &{\left(6 - 12 \right)\hat{i} - \left(3 - 0 \right)\hat{j} + \left(4 - 0 \right)\hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{-6\hat{i}-3\hat{j}+4\hat{k}}
\\ \end{array}}$

5. Then,
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\left|\vec{a}\times\vec{b} \right|}    & {~=~}    &{\sqrt{(-6)^2 + (-3)^2 + (4)^2}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\sqrt{61}}
\\ \end{array}}$

6. Therefore,
Area of triangle ABC
= $\mathbf\small{\frac{1}{2}\left(\left|\vec{a}\times\vec{b} \right| \right)~=~\frac{\sqrt{61}}{2}}$

Solved example 26.61
Find the area of the parallelogram whose adjacent sides are given by the vectors $\small{\vec{a}=3\hat{i}+\hat{j}+4\hat{k}~\text{and}~\vec{b}=\hat{i}-\hat{j}+\hat{k}}$.
Solution:
1. Fig.26.34 below shows the rough sketch:

Fig.26.34

2. We have:
$\vec{a}\times\vec{b}~=~\left|\begin{array}{r}                             \hat{i}     &{    \hat{j}     }    &{    \hat{k}      }    \\ 3      &{    1     }    &{   4      }    
\\ 1      &{    -1     }    &{ 1        }    
\\ \end{array}\right|$

3. So we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times\vec{b}}    & {~=~}    &{\left(1 + 4 \right)\hat{i} - \left(3 - 4 \right)\hat{j} + \left(-3 - 1 \right)\hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{5\hat{i}+\hat{j}-4\hat{k}}
\\ \end{array}}$

4. Then,
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\left|\vec{a}\times\vec{b} \right|}    & {~=~}    &{\sqrt{(5)^2 + (1)^2 + (-4)^2}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\sqrt{42}}
\\ \end{array}}$

5. Therefore,
Area of parallelogram ABCD
= $\mathbf\small{\left|\vec{a}\times\vec{b} \right| ~=~\sqrt{42}}$

Solved example 26.62
Find the area of the parallelogram whose adjacent sides are determined by the vectors $\small{\vec{a}=\hat{i}-\hat{j}+3\hat{k}~\text{and}~\vec{b}=2\hat{i}-7\hat{j}+\hat{k}}$.
Solution:
1. Fig.26.35 below shows the rough sketch:

Fig.26.35

2. We have:
$\vec{a}\times\vec{b}~=~\left|\begin{array}{r}                             \hat{i}     &{    \hat{j}     }    &{    \hat{k}      }    \\ 1      &{    -1     }    &{   3      }    
\\ 2      &{    -7     }    &{ 1        }    
\\ \end{array}\right|$

3. So we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}\times\vec{b}}    & {~=~}    &{\left(-1 + 21 \right)\hat{i} - \left(1 - 6 \right)\hat{j} + \left(-7 + 2 \right)\hat{k}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{20\hat{i}+5\hat{j}-5\hat{k}}
\\ \end{array}}$

4. Then,
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\left|\vec{a}\times\vec{b} \right|}    & {~=~}    &{\sqrt{(20)^2 + (5)^2 + (-5)^2}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\sqrt{450}}
\\ \end{array}}$

5. Therefore,
Area of parallelogram ABCD
= $\mathbf\small{\left|\vec{a}\times\vec{b} \right| ~=~\sqrt{450}~=~15\sqrt{2}}$

Solved example 26.63
If a unit vector $\small{\vec{a}}$ makes angles $\small{\frac{\pi}{3}~\text{with}~\hat{i},~~\frac{\pi}{4}~\text{with}~\hat{j}}$ and an acute angle $\small{\theta}$ with $\small{\hat{k}}$, then find $\small{\theta}$ and hence, the components of $\small{\vec{a}}$.
Solution:
1. $\small{\vec{a}}$ makes an angle $\small{\frac{\pi}{3}~\text{with}~\hat{i}}$.
• $\small{\hat{i}}$ lies along the x-axis. That means, $\small{\vec{a}}$ makes an angle $\small{\frac{\pi}{3}}$ with the x-axis.
• So the x-component of $\small{\vec{a}}$
= $\small{\left|\vec{a} \right|\,\cos\left(\frac{\pi}{3} \right)\hat{i}}$ 
= $\small{(1)\left(\frac{1}{2} \right)\hat{i}}$ 
= $\small{\left(\frac{1}{2} \right)\hat{i}}$  

2. $\small{\vec{a}}$ makes an angle $\small{\frac{\pi}{4}~\text{with}~\hat{j}}$.
• $\small{\hat{j}}$ lies along the y-axis. That means, $\small{\vec{a}}$ makes an angle $\small{\frac{\pi}{4}}$ with the y-axis.
• So the y-component of $\small{\vec{a}}$
= $\small{\left|\vec{a} \right|\,\cos\left(\frac{\pi}{4} \right)\hat{j}}$ 
= $\small{(1)\left(\frac{1}{\sqrt{2}} \right)\hat{j}}$ 
= $\small{\left(\frac{1}{\sqrt{2}} \right)\hat{j}}$  

3. $\small{\vec{a}}$ makes an acute angle $\small{\theta~\text{with}~\hat{k}}$.
• $\small{\hat{k}}$ lies along the z-axis. That means, $\small{\vec{a}}$ makes an acute angle $\small{\theta}$ with the z-axis.
• So the z-component of $\small{\vec{a}}$
= $\small{\left|\vec{a} \right|\,\cos\left(\theta \right)\hat{k}}$ 
= $\small{(1)\cos\left(\theta \right)\hat{k}}$ 
= $\small{\cos\left(\theta \right)\hat{k}}$

4. We wrote the three components. So we can write:
$\small{\vec{a}=\left(\frac{1}{2} \right)\hat{i}+\left(\frac{1}{\sqrt{2}} \right)\hat{j}+\cos\left(\theta \right)\hat{k}}$

5. Given that, $\small{\vec{a}}$ is a unit vector. So we can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\left|\vec{a} \right|}    & {~=~}    &{1}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\sqrt{\left(\frac{1}{2} \right)^2+\left(\frac{1}{\sqrt{2}} \right)^2+\left[\cos\left(\theta \right) \right]^2}}    & {~=~}    &{1}
\\ {~\color{magenta}    3    }    &{\Rightarrow}    &{\left(\frac{1}{2} \right)^2+\left(\frac{1}{\sqrt{2}} \right)^2+\left[\cos\left(\theta \right) \right]^2}    & {~=~}    &{1}
\\ {~\color{magenta}    4    }    &{\Rightarrow}    &{\cos^2\left(\theta \right)}    & {~=~}    &{1-\frac{1}{4}-\frac{1}{2}~=~\frac{1}{4}}
\\ {~\color{magenta}    5    }    &{\Rightarrow}    &{\cos\left(\theta \right)}    & {~=~}    &{\pm\frac{1}{2}}
\\ \end{array}}$

6. So we have two equations:
(i) $\small{\cos \theta~=~\frac{1}{2}}$ 
(ii) $\small{\cos \theta~=~-\frac{1}{2}}$

• Solving the first equation, we get: $\small{\theta~=~\frac{\pi}{3}}$ 
• Solving the second equation, we get: $\small{\theta~=~\frac{2\pi}{3}}$  

• Given that, $\small{\theta}$ is an acute angle. So we can write:
$\small{\theta~=~\frac{\pi}{3}}$

7. So based on step (4), we can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{a}}    & {~=~}    &{\left(\frac{1}{2} \right)\hat{i}+\left(\frac{1}{\sqrt{2}} \right)\hat{j}+\cos\left(\frac{\pi}{3} \right)\hat{k}}
\\ {~\color{magenta}    2    }    &{\Rightarrow}    &{\vec{a}}    & {~=~}    &{\left(\frac{1}{2} \right)\hat{i}+\left(\frac{1}{\sqrt{2}} \right)\hat{j}+\left(\frac{1}{2} \right)\hat{k}}
\\ \end{array}}$

8. Therefore, the components of $\small{\vec{a}}$ are:
$\small{\frac{1}{2},~\frac{1}{\sqrt{2}}~\text{and}~\frac{1}{2}}$


The link below gives a few more solved examples:

Exercise 10.4


In the next section, we will see some miscellaneous examples.

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Tuesday, June 9, 2026

26.9 - Projection of a Vector

In the previous section, we completed a discussion on dot product of two vectors. In this section, we will see projection of a vector.

Projection of a vector on a line

This can be explained in steps:
1. In fig.26.29(i) below, $\small{\vec{AB}}$ makes an angle $\small{\theta}$ with a directed line l. The angle $\small{\theta}$ is measured in the anticlockwise direction.

Fig.26.29

2. Drop a perpendicular (green dashed line) from B on to l. Let C be the foot of the perpendicular. Then length AC will be equal to $\small{\left|\vec{AB} \right|\cos\theta}$.
3. We can think of a vector $\small{\vec{AC}}$.
   ♦ Initial point of this vector is A
   ♦ Terminal point of this vector is C.
• Magnitude of this vector will be $\small{\left|\vec{AB} \right|\cos\theta}$.
◼ $\small{\vec{AC}}$ is called:
Projection vector of $\small{\vec{AB}}$ on the directed line l.
   ♦ It is denoted as $\small{\vec{p}}$
   ♦ It is a vector
◼ $\small{\left|\vec{p} \right|}$ is called:
Projection of $\small{\vec{AB}}$ on the directed line l.
   ♦ It is a distance
   ♦ It is not a vector

◼ So we can write:
   ♦ $\small{\vec{p}}$ is the Projection vector of $\small{\vec{AB}}$ on the directed line l.
   ♦ $\small{\left|\vec{p} \right|}$ is the Projection of $\small{\vec{AB}}$ on the directed line l.

4. Since $\small{\vec{p}}$ is aligned with l, the direction of $\small{\vec{p}}$ has only two possibilities:
   ♦ same as the direction of l
   ♦ opposite to the direction of l

5. In fig.26.29(i) above, $\small{0 < \theta <\frac{\pi}{2}}$. In such a situation, $\small{\vec{p}}$ will have the same direction as l

This can be proved as shown below:
• Let $\small{\hat{p}}$ be the unit vector which has the same direction as l. Multiplying this unit vector by $\small{\left|\vec{p}\right|}$ will give $\small{\vec{p}}$.
• So we can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{p} }    & {~=~}    &{\left[\left|\vec{p} \right| \right]\hat{p}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|\cos \theta \right]\hat{p}}
\\ \end{array}}$
   ♦ In the interval $\small{\left(0,\frac{\pi}{2} \right) }$, $\small{\cos \theta}$ is +ve. So $\small{\left[\left|\vec{AB} \right|\cos \theta \right]}$ is +ve.
   ♦ $\small{\hat{p}}$ has the same direction as l
• Therefore, $\small{\vec{p}}$ has the same direction as l

6. In fig.26.29(ii) above, $\small{\frac{\pi}{2} < \theta < \pi}$. In such a situation, $\small{\vec{p}}$ will have the opposite direction of l.

This can be proved as shown below:
• As before, we have:
$\small{\vec{p}~=~\left[\left|\vec{AB} \right|\cos \theta \right]\hat{p}}$
   ♦ In the interval $\small{\left(\frac{\pi}{2},\pi \right) }$, $\small{\cos \theta}$ is -`ve. So $\small{\left[\left|\vec{AB} \right|\cos \theta \right]}$ is -`ve.
   ♦ $\small{\hat{p}}$ has the same direction as l
• Therefore, $\small{\vec{p}}$ has the opposite direction of  l
• Recall that, we saw the trigonometric ratios of obtuse angles in section 3.5   

7. In fig.26.29(iii) below, $\small{\pi < \theta < \frac{3\pi}{2}}$. In such a situation, $\small{\vec{p}}$ will have the opposite direction of l

Fig.26.29


This can be proved as shown below:
• As before, we have:
$\small{\vec{p}~=~\left[\left|\vec{AB} \right|\cos \theta \right]\hat{p}}$
   ♦ In the interval $\small{\left(\pi,\frac{3\pi}{2}\right) }$, $\small{\cos \theta}$ is -`ve. So $\small{\left[\left|\vec{AB} \right|\cos \theta \right]}$ is -`ve.
   ♦ $\small{\hat{p}}$ has the same direction as l
• Therefore, $\small{\vec{p}}$ has the opposite direction of  l

8. In fig.26.29(iv) above, $\small{\frac{3\pi}{2} < \theta < 2 \pi}$. In such a situation, $\small{\vec{p}}$ will have the same direction as l

This can be proved as shown below:
• As before, we have:
$\small{\vec{p}~=~\left[\left|\vec{AB} \right|\cos \theta \right]\hat{p}}$
   ♦ In the interval $\small{\left(\frac{3\pi}{2},2\pi \right) }$, $\small{\cos \theta}$ is +ve. So $\small{\left[\left|\vec{AB} \right|\cos \theta \right]}$ is +ve.
   ♦ $\small{\hat{p}}$ has the same direction as l
• Therefore, $\small{\vec{p}}$ has the same direction as l

9. Consider the scalar product $\small{\vec{AB}.\hat{p}}$, where $\small{\hat{p}}$ is the unit vector which has the same direction as l'.
We can write:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{AB}.\hat{p}}    & {~=~}    &{\left|\vec{AB} \right|\,\left|\hat{p} \right|\cos \theta}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left|\vec{AB} \right|(1)\cos \theta}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\left|\vec{AB} \right|\cos \theta}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{\text{Projection of}~\vec{AB}~\text{on}~l}
\\ \end{array}}$
• Thus we get a second method to find the projection.
   ♦ First method is to find $\small{\left|\vec{AB} \right|\cos\theta}$
   ♦ Second method is to find the dot product $\small{\vec{AB}.\hat{p}}$
• Remember that, $\small{\vec{AB}.\hat{p}}$ is the dot product of two vectors. So it is a real number. It is the "projection". Not the "projection vector".

10. Suppose that, we want the projection of a vector $\small{\vec{a}~\text{on another vector}~\vec{b}}$. We can make use of the result in (9) above. The steps are as follows:
(i) Assume a directed line l in the same direction as $\small{\vec{b}}$
(ii) Next, we want a unit vector in the same direction as l. Such a unit vector is readily available. It is $\small{\hat{b}}$
(iii) So based on (9), the required projection is: $\small{\vec{a}.\hat{b}}$
(iv) But $\small{\hat{b}~=~\frac{\vec{b}}{\left|\vec{b} \right|}}$
(v) So the required projection = $\small{\vec{a}.\left(\frac{\vec{b}}{\left|\vec{b} \right|} \right)~=~\frac{1}{\left|\vec{b} \right|}\left(\vec{a}.\vec{b} \right)}$
• Remember that, $\small{\frac{1}{\left|\vec{b} \right|}\left(\vec{a}.\vec{b} \right)}$ is the scalar product of two vectors. So it is a real number. It is the "projection". Not the "projection vector".

11. In fig.26.29 above, we considered $\small{\theta}$ to be in the intervals:
$\small{\left(0,\frac{\pi}{2} \right), \left(\frac{\pi}{2},\pi \right), \left(\pi,\frac{3\pi}{2} \right), \left(\frac{3\pi}{2},2\pi \right)}$
We did not consider the cases when $\small{\theta}$ is equal to $\small{0,\frac{\pi}{2},\pi,\frac{3\pi}{2},2\pi}$. We will see those cases now.
(i) $\small{\theta=0}$
Consider fig.26.29(i). We want $\small{\vec{p}~\text{and}~\left|\vec{p} \right|}$ when $\small{\theta=0}$
Based on (5), we have:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{p} }    & {~=~}    &{\left[\left|\vec{AB} \right|\cos \theta \right]\hat{p}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|\cos (0) \right]\hat{p}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|(1) \right]\hat{p}}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{\left(\left|\vec{AB} \right| \right)\hat{p}}
\\ \end{array}}$
• $\small{\hat{p}}$ is a unit vector. It gives us the direction only. In our present case, it has the same direction as l. So we can write:
When $\small{\theta=0}$, the projection vector has the same magnitude as $\small{\vec{AB}}$. And it has the same direction as l.

(ii) $\small{\theta=\frac{\pi}{2}}$
Consider fig.26.29(i or ii). We want $\small{\vec{p}~\text{and}~\left|\vec{p} \right|}$ when $\small{\theta=\frac{\pi}{2}}$
Based on (5), we have:

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{p} }    & {~=~}    &{\left[\left|\vec{AB} \right|\cos \theta \right]\hat{p}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|\cos \left(\frac{\pi}{2}\right) \right]\hat{p}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|(0) \right]\hat{p}}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{\left(0 \right)\hat{p}}
\\ \end{array}}$

• $\small{\hat{p}}$ is a unit vector. It gives us the direction only. In our present case, it has the same direction as l. So we can write:
When $\small{\theta=\frac{\pi}{2}}$, the projection vector is a zero vector.   
(iii) $\small{\theta=\pi}$
Consider fig.26.29(ii or iii ). We want $\small{\vec{p}~\text{and}~\left|\vec{p} \right|}$ when $\small{\theta=\pi}$
Based on (5), we have:

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{p} }    & {~=~}    &{\left[\left|\vec{AB} \right|\cos \theta \right]\hat{p}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|\cos (\pi) \right]\hat{p}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|(-1) \right]\hat{p}}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{(-1)\left(\left|\vec{AB} \right| \right)\hat{p}}
\\ \end{array}}$

• $\small{\hat{p}}$ is a unit vector. It gives us the direction only. In our present case, it has the same direction as l. So we can write:
When $\small{\theta=\pi}$, the projection vector has the same magnitude as $\small{\vec{AB}}$. And it has the opposite direction of l.
(iv) $\small{\theta=\frac{3\pi}{2}}$
Consider fig.26.29(iii or iv). We want $\small{\vec{p}~\text{and}~\left|\vec{p} \right|}$ when $\small{\theta=\frac{3\pi}{2}}$
Based on (5), we have:

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{p} }    & {~=~}    &{\left[\left|\vec{AB} \right|\cos \theta \right]\hat{p}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|\cos \left(\frac{3\pi}{2}\right) \right]\hat{p}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|(0) \right]\hat{p}}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{\left(0 \right)\hat{p}}
\\ \end{array}}$

• $\small{\hat{p}}$ is a unit vector. It gives us the direction only. In our present case, it has the same direction as l. So we can write:
When $\small{\theta=\frac{3\pi}{2}}$, the projection vector is a zero vector.  
(v) $\small{\theta=2\pi}$
Consider fig.26.29(i). We want $\small{\vec{p}~\text{and}~\left|\vec{p} \right|}$ when $\small{\theta=2\pi}$
Based on (5), we have:

$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\vec{p} }    & {~=~}    &{\left[\left|\vec{AB} \right|\cos \theta \right]\hat{p}}
\\ {~\color{magenta}    2    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|\cos (2\pi) \right]\hat{p}}
\\ {~\color{magenta}    3    }    &{}    &{}    & {~=~}    &{\left[\left|\vec{AB} \right|(1) \right]\hat{p}}
\\ {~\color{magenta}    4    }    &{}    &{}    & {~=~}    &{\left(\left|\vec{AB} \right| \right)\hat{p}}
\\ \end{array}}$

• $\small{\hat{p}}$ is a unit vector. It gives us the direction only. In our present case, it has the same direction as l. So we can write:
When $\small{\theta=2\pi}$, the projection vector has the same magnitude as $\small{\vec{AB}}$. And it has the same direction as l.


Now we will see the projection when a vector is given in component form. It can be written in 4 steps:
1. Consider a vector $\small{\vec{a}~=~a_1\hat{i}+a_2\hat{j}+a_3\hat{k}}$.
We know that, this vector has three components:
   ♦ $\small{a_1\hat{i}}$, which lies along the x-axis
   ♦ $\small{a_2\hat{j}}$, which lies along the y-axis
   ♦ $\small{a_3\hat{k}}$, which lies along the z-axis
2. Consider the component $\small{a_1\hat{i}}$, which lies along the x-axis.
We know that, magnitude of this vector is $\small{a_1}$.
Since this vector lies on the x-axis, we can write:
   ♦ Projection vector of $\small{\vec{a}}$ on the x-axis is $\small{a_1\hat{i}}$
   ♦ Projection of $\small{\vec{a}}$ on the x-axis is $\small{a_1}$
3. Similarly, we can write:
   ♦ Projection vector of $\small{\vec{a}}$ on the y-axis is $\small{a_2\hat{j}}$
   ♦ Projection of $\small{\vec{a}}$ on the y-axis is $\small{a_2}$
4. Similarly, we can write:
   ♦ Projection vector of $\small{\vec{a}}$ on the z-axis is $\small{a_3\hat{k}}$
   ♦ Projection of $\small{\vec{a}}$ on the z-axis is $\small{a_3}$


Now we will see the relation between projection and direction cosines. It can be written in 7 steps:
1. Consider a vector $\small{\vec{a}~=~a_1\hat{i}+a_2\hat{j}+a_3\hat{k}}$. We know the direction cosines:
   ♦ $\small{l~=~\frac{a_1}{\left|\vec{a} \right|}}$
   ♦ $\small{m~=~\frac{a_2}{\left|\vec{a} \right|}}$
   ♦ $\small{n~=~\frac{a_3}{\left|\vec{a} \right|}}$
See solved example 26.19 in section 26.5
2. Consider the first direction cosine: $\small{l~=~\frac{a_1}{\left|\vec{a} \right|}}$
• Here $\small{a_1}$ is the projection of $\small{\vec{a}}$ on the x-axis.
3. We have seen a second method to find projection. See step (9) above.
• By that method, the "projection of $\small{\vec{a}}$ on the x-axis" is:
$\small{\vec{a}.\hat{i}}$
4. So the result in (2) becomes: $\small{l~=~\frac{\vec{a}.\hat{i}}{\left|\vec{a} \right|}}$
5. Similarly we can obtain the other two direction cosines also. Let us write all the three together:
• $\small{l~=~\frac{a_1}{\left|\vec{a} \right|}~=~\frac{\vec{a}.\hat{i}}{\left|\vec{a} \right|}}$
• $\small{m~=~\frac{a_2}{\left|\vec{a} \right|}~=~\frac{\vec{a}.\hat{j}}{\left|\vec{a} \right|}}$
• $\small{r~=~\frac{a_3}{\left|\vec{a} \right|}~=~\frac{\vec{a}.\hat{k}}{\left|\vec{a} \right|}}$
6. Suppose that, $\small{\vec{a}}$ is a unit vector.
• Then $\small{\left|\vec{a}\right|=1}$
• In such a situation, step (1) above becomes:
   ♦ $\small{l~=~\frac{a_1}{\left|\vec{a} \right|}~=~\frac{a_1}{1}~=~a_1}$
   ♦ $\small{m~=~\frac{a_2}{\left|\vec{a} \right|}~=~\frac{a_1}{1}~=~a_2}$
   ♦ $\small{n~=~\frac{a_3}{\left|\vec{a} \right|}~=~\frac{a_1}{1}~=~a_3}$
7. So if $\small{\vec{a}}$ is a unit vector, then it's component form can be written as:
$\small{\vec{a}~=~a_1\hat{i}+a_2\hat{j}+a_3\hat{k}~=~l\hat{i}+m\hat{j}+n\hat{k}}$


Now we will see some solved examples

Solved example 26.51
Show that each of the given three vectors is a unit vector:
$\small{\frac{1}{7}\left(2\hat{i}+3\hat{j}+6\hat{k} \right)}$
$\small{\frac{1}{7}\left(3\hat{i}-6\hat{j}+2\hat{k} \right)}$
$\small{\frac{1}{7}\left(6\hat{i}-3\hat{k} \right)}$
Also show that they are mutually perpendicular to each other.
Solution:
Part (i): Showing that the vectors are unit vectors
• We have seen that:
For a unit vector, the scalar components are same as the direction cosines.
1. Let $\small{\vec{a}=\frac{1}{7}\left(2\hat{i}+3\hat{j}+6\hat{k} \right)}$
• The scalar components are:
   ♦ $\small{a_1 = \frac{2}{7}}$
   ♦ $\small{a_2 = \frac{3}{7}}$
   ♦ $\small{a_3 = \frac{6}{7}}$
• $\small{\left|\vec{a}\right|=\sqrt{\frac{2^2 + 3^2 + 6^2}{7^2}}=\sqrt{\frac{49}{49}}=1}$
• Therefore, the direction cosines are:
   ♦ $\small{l = \frac{a_1}{\left|\vec{a}\right|}=\frac{2/7}{1}=\frac{2}{7}}$
   ♦ $\small{m = \frac{a_2}{\left|\vec{a}\right|}=\frac{3/7}{1}=\frac{3}{7}}$
   ♦ $\small{n = \frac{a_3}{\left|\vec{a}\right|}=\frac{6/7}{1}=\frac{6}{7}}$
• The scalar components are same as the direction cosines. So $\small{\vec{a}}$ is a unit vector.

• The above elaborate steps are written to show the relation between "direction cosines" and "scalar components of a unit vector". In actual practice, to show that $\small{\vec{a}}$ is a unit vector, all we need to do is to show that $\small{\left|\vec{a}\right|=1}$  

2. Let $\small{\vec{b}=\frac{1}{7}\left(3\hat{i}-6\hat{j}+2\hat{k} \right)}$
• The scalar components are:
   ♦ $\small{b_1 = \frac{3}{7}}$
   ♦ $\small{b_2 = \frac{-6}{7}}$
   ♦ $\small{b_3 = \frac{2}{7}}$
• $\small{\left|\vec{b}\right|=\sqrt{\frac{3^2 + (-6)^2 + 2^2}{7^2}}=\sqrt{\frac{49}{49}}=1}$
• Therefore, the direction cosines are:
   ♦ $\small{l = \frac{b_1}{\left|\vec{b}\right|}=\frac{3/7}{1}=\frac{3}{7}}$
   ♦ $\small{m = \frac{b_2}{\left|\vec{b}\right|}=\frac{-6/7}{1}=\frac{-6}{7}}$
   ♦ $\small{n = \frac{b_3}{\left|\vec{b}\right|}=\frac{2/7}{1}=\frac{2}{7}}$
• The scalar components are same as the direction cosines. So $\small{\vec{b}}$ is a unit vector.

3. Let $\small{\vec{c}=\frac{1}{7}\left(6\hat{i}+2\hat{j}-3\hat{k} \right)}$
• The scalar components are:
   ♦ $\small{c_1 = \frac{6}{7}}$
   ♦ $\small{c_2 = \frac{2}{7}}$
   ♦ $\small{c_3 = \frac{-3}{7}}$
• $\small{\left|\vec{c}\right|=\sqrt{\frac{6^2 + 2^2 + (-3)^2}{7^2}}=\sqrt{\frac{49}{49}}=1}$
• Therefore, the direction cosines are:
   ♦ $\small{l = \frac{c_1}{\left|\vec{c}\right|}=\frac{6/7}{1}=\frac{6}{7}}$
   ♦ $\small{m = \frac{c_2}{\left|\vec{c}\right|}=\frac{2/7}{1}=\frac{2}{7}}$
   ♦ $\small{n = \frac{c_3}{\left|\vec{c}\right|}=\frac{-3/7}{1}=\frac{-3}{7}}$
• The scalar components are same as the direction cosines. So $\small{\vec{c}}$ is a unit vector.

Part (ii): Showing that the given three vectors are mutually perpendicular to each other
• We have seen that:
If two vectors are mutually perpendicular to each other, their dot product will be zero.
• For three vectors, three combinations are possible. So we have to calculate three dot products.

1. First we calculate $\small{\vec{a}.\vec{b}}$
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}&{\vec{a}.\vec{b}}    & {=}    &{\left(\frac{2}{7} \right)\left(\frac{3}{7} \right)+\left(\frac{3}{7} \right)\left(\frac{-6}{7} \right)+\left(\frac{6}{7} \right)\left(\frac{2}{7} \right)}
\\ {~\color{magenta}    2    }    &{}&{}    & {=}    &{\frac{6-18+12}{49}=\frac{0}{49}}
\\ {~\color{magenta}    3    }    &{}&{}    & {=}    &{0}
\\ \end{array}}$
• We see that: $\small{\vec{a}.\vec{b}=0}$
So $\small{\vec{a}~\text{and}~\vec{b}}$ are mutually perpendicular to each other.

2. Next we calculate $\small{\vec{b}.\vec{c}}$
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}&{\vec{b}.\vec{c}}    & {=}    &{\left(\frac{3}{7} \right)\left(\frac{6}{7} \right)+\left(\frac{-6}{7} \right)\left(\frac{2}{7} \right)+\left(\frac{2}{7} \right)\left(\frac{-3}{7} \right)}
\\ {~\color{magenta}    2    }    &{}&{}    & {=}    &{\frac{18-12-6}{49}=\frac{0}{49}}
\\ {~\color{magenta}    3    }    &{}&{}    & {=}    &{0}
\\ \end{array}}$
• We see that: $\small{\vec{b}.\vec{c}=0}$
So $\small{\vec{b}~\text{and}~\vec{c}}$ are mutually perpendicular to each other.

3. Finally we calculate $\small{\vec{c}.\vec{a}}$
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}&{\vec{c}.\vec{a}}    & {=}    &{\left(\frac{6}{7} \right)\left(\frac{2}{7} \right)+\left(\frac{2}{7} \right)\left(\frac{3}{7} \right)+\left(\frac{-3}{7} \right)\left(\frac{6}{7} \right)}
\\ {~\color{magenta}    2    }    &{}&{}    & {=}    &{\frac{12+6-18}{49}=\frac{0}{49}}
\\ {~\color{magenta}    3    }    &{}&{}    & {=}    &{0}
\\ \end{array}}$
• We see that: $\small{\vec{c}.\vec{a}=0}$
So $\small{\vec{c}~\text{and}~\vec{a}}$ are mutually perpendicular to each other.

Solved example 26.52
Find the projection of the vector $\small{\vec{a}=2\hat{i}+3\hat{j}+2\hat{k}}$ on the vector $\small{\vec{b}=\hat{i}+2\hat{j}+\hat{k}}$
Solution:
1. We have:
Projection of $\small{\vec{a}~\text{on}~\vec{b}=\frac{1}{\left|\vec{b} \right|}\left(\vec{a}.\vec{b} \right)}$
2. Substituting the values, we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}&{\frac{1}{\left|\vec{b} \right|}\left(\vec{a}.\vec{b} \right)}    & {=}    &{\left(\frac{1}{\sqrt{1^2 + 2^2+1^2}} \right)\left[\left(2 \right)\left(1 \right)+\left(3 \right)\left(2 \right)+\left(2 \right)\left(1 \right) \right]}
\\ {~\color{magenta}    2    }    &{}&{}    & {=}    &{\frac{2+6+2}{\sqrt{6}}=\frac{10}{\sqrt{6}}}
\\ {~\color{magenta}    3    }    &{}&{}    & {=}    &{\frac{5\sqrt{6}}{3}}
\\ \end{array}}$

Solved example 26.53
Find the projection of the vector $\small{\vec{a}=\hat{i}-\hat{j}}$ on the vector $\small{\vec{b}=\hat{i}+\hat{j}}$
Solution:
1. We have:
Projection of $\small{\vec{a}~\text{on}~\vec{b}=\frac{1}{\left|\vec{b} \right|}\left(\vec{a}.\vec{b} \right)}$
2. Substituting the values, we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}&{\frac{1}{\left|\vec{b} \right|}\left(\vec{a}.\vec{b} \right)}    & {=}    &{\left(\frac{1}{\sqrt{1^2 +1^2}} \right)\left[\left(1 \right)\left(1 \right)+\left(-1 \right)\left(1 \right) \right]}
\\ {~\color{magenta}    2    }    &{}&{}    & {=}    &{\frac{0}{\sqrt{2}}}
\\ {~\color{magenta}    3    }    &{}&{}    & {=}    &{0}
\\ \end{array}}$

Solved example 26.54
Find the projection of the vector $\small{\vec{a}=\hat{i}+3\hat{j}+7\hat{k}}$ on the vector $\small{\vec{b}=7\hat{i}-\hat{j}+8\hat{k}}$
Solution:
1. We have:
Projection of $\small{\vec{a}~\text{on}~\vec{b}=\frac{1}{\left|\vec{b} \right|}\left(\vec{a}.\vec{b} \right)}$
2. Substituting the values, we get:
$\small{\begin{array}{ll} {~\color{magenta}    1    }    &{{}}&{\frac{1}{\left|\vec{b} \right|}\left(\vec{a}.\vec{b} \right)}    & {=}    &{\left(\frac{1}{\sqrt{7^2 + (-1)^2+8^2}} \right)\left[\left(1 \right)\left(7 \right)+\left(3 \right)\left(-1 \right)+\left(7 \right)\left(8 \right) \right]}
\\ {~\color{magenta}    2    }    &{}&{}    & {=}    &{\frac{7-3+56}{\sqrt{114}}}
\\ {~\color{magenta}    3    }    &{}&{}    & {=}    &{\frac{60}{\sqrt{114}}}
\\ \end{array}}$


The link below gives a few more solved examples:

Exercise 10.3


In the next section, we will see cross product.

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