Showing posts with label vector. Show all posts
Showing posts with label vector. Show all posts

Friday, January 11, 2019

Chapter 6.2 - Solved examples on Scalar product

In the previous section, we saw the properties of scalar product of vectors. In this section, we will continue that discussion and see some properties related to unit vectors. After that we will see some solved examples also.

1. What is $\mathbf\small{\hat{i}.\hat{i}}$?
Answer:
• This is a dot product of two vectors $\mathbf\small{\hat{i}\;\; \text{and}\;\;\hat{i}}$ 
• To calculate the dot product, we want three items:
(i) The magnitude of the first vector
• In this case, it is 1
(ii) The magnitude of the second vector
• In this case, it is 1
(iii) Cosine of the angle θ between the two vectors
• In this case, both the vectors lie along the x axis. That means they are parallel
• The angle θ between them will be 0
• So cos θ = cos 0 = 1
■ Thus we get: $\mathbf\small{\hat{i}.\hat{i}=1 \times 1 \times \cos 0 =1 \times 1 \times 1 = 1}$
2. What is $\mathbf\small{\hat{j}.\hat{j}}$?
Answer:
• This is a dot product of two vectors $\mathbf\small{\hat{j}\;\; \text{and}\;\;\hat{j}}$ 
• To calculate the dot product, we want three items:
(i) The magnitude of the first vector
• In this case, it is 1
(ii) The magnitude of the second vector
• In this case, it is 1
(iii) Cosine of the angle θ between the two vectors
• In this case, both the vectors lie along the y axis. That means they are parallel
• The angle θ between them will be 0
• So cos θ = cos 0 = 1
■ Thus we get: $\mathbf\small{\hat{j}.\hat{j}=1 \times 1 \times \cos 0 =1 \times 1 \times 1 = 1}$
3. Using the same procedure, we will get: $\mathbf\small{\hat{k}.\hat{k}=1}$
■ We will write them as a result for easy reference
Eq.6.13:
$\mathbf\small{\hat{i}.\hat{i}=\hat{j}.\hat{j}=\hat{k}.\hat{k}=1}$
4. What is $\mathbf\small{\hat{i}.\hat{j}}$?
Answer:
• This is a dot product of two vectors $\mathbf\small{\hat{i}\;\; \text{and}\;\;\hat{j}}$ 
• To calculate the dot product, we want three items:
(i) The magnitude of the first vector
• In this case, it is 1
(ii) The magnitude of the second vector
• In this case, it is 1
(iii) Cosine of the angle θ between the two vectors
• In this case, the first vector lies along the x axis and the second vector lies along the y axis. That means they are perpendicular
• The angle θ between them will be 90o
• So cos θ = cos 90 = 0
(This is obvious because, we cannot project a vector onto another perpendicular vector)
■ Thus we get: $\mathbf\small{\hat{i}.\hat{i}=1 \times 1 \times \cos 90 =1 \times 1 \times 0 = 0}$
5. What is $\mathbf\small{\hat{i}.\hat{k}}$?
Answer:
• This is a dot product of two vectors $\mathbf\small{\hat{i}\;\; \text{and}\;\;\hat{k}}$ 
• To calculate the dot product, we want three items:
(i) The magnitude of the first vector
• In this case, it is 1
(ii) The magnitude of the second vector
• In this case, it is 1
(iii) Cosine of the angle θ between the two vectors
• In this case, the first vector lies along the x axis and the second vector lies along the z axis. That means they are perpendicular
• The angle θ between them will be 90o
• So cos θ = cos 90 = 0
(This is obvious because, we cannot project a vector onto another perpendicular vector)
■ Thus we get: $\mathbf\small{\hat{i}.\hat{k}=1 \times 1 \times \cos 90 =1 \times 1 \times 0 = 0}$
3. Using the same procedure, we will get: $\mathbf\small{\hat{j}.\hat{k}=0}$
■ We will write them as a result for easy reference
Eq.6.14:
$\mathbf\small{\hat{i}.\hat{j}=\hat{i}.\hat{k}=\hat{j}.\hat{k}=0}$

Let us write all the 14 results together:

Eq.6.1: $\mathbf\small{\vec{A}.\vec{B}=|\vec{A}||\vec{B}|\cos \theta}$
• Where θ is the angle between $\mathbf\small{\vec{A}}$ and $\mathbf\small{\vec{B}}$
Eq.6.2: $\mathbf\small{\vec{A}.\vec{A}=|\vec{A}|^2}$
Eq.6.3: $\mathbf\small{\vec{A}.\vec{B}=\vec{B}.\vec{A}}$
Eq.6.4: $\mathbf\small{(\vec{A}+\vec{B}).\vec{C}=(\vec{A}.\vec{C}+\vec{B}.\vec{C})}$
Eq.6.5:
$\mathbf\small{\text{If}\;\;\vec{A}=A_x\,\hat{i}+A_y\,\hat{j}}$
$\mathbf\small{\text{And}\;\;\vec{B}=B_x\,\hat{i}+B_y\,\hat{j}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{B}=A_xB_x+A_yB_y}$
Eq.6.6:
$\mathbf\small{\text{If}\;\;\vec{A}\;\;\text{and}\;\;\vec{B}\;\;\text{are parallel}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{B}=|\vec{A}|\times |\vec{B}|}$
Eq.6.7:
$\mathbf\small{\text{If}\;\;\vec{A}\;\;\text{and}\;\;\vec{B}\;\;\text{are perpendicular}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{B}=0}$
Eq.6.8:
$\mathbf\small{\text{If}\;\;\vec{A}=A_x\,\hat{i}+A_y\,\hat{j}+A_z\,\hat{k}}$
$\mathbf\small{\text{And}\;\;\vec{B}=B_x\,\hat{i}+B_y\,\hat{j}+B_z\,\hat{k}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{B}=A_xB_x+A_yB_y+A_zB_z}$
Eq.6.9:
$\mathbf\small{\text{If}\;\;\vec{A}=A_x\,\hat{i}+A_y\,\hat{j}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{A}=A_x^2+A_y^2}$
Eq.6.10:
$\mathbf\small{\text{If}\;\;\vec{A}=A_x\,\hat{i}+A_y\,\hat{j}+A_z\,\hat{k}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{A}=A_x^2+A_y^2+A_z^2}$
Eq.6.11:
$\mathbf\small{\text{If}\;\;\vec{B}=B_x\,\hat{i}+B_y\,\hat{j}}$
$\mathbf\small{\text{Then}\;\;\lambda\vec{B}=(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}}$
Eq.6.12:
$\mathbf\small{\vec{A}.(\lambda \vec{B})=\lambda(\vec{A}.\vec{B})}$
Eq.6.13:
$\mathbf\small{\hat{i}.\hat{i}=\hat{j}.\hat{j}=\hat{k}.\hat{k}=1}$
Eq.6.14:
$\mathbf\small{\hat{i}.\hat{j}=\hat{i}.\hat{k}=\hat{j}.\hat{k}=0}$


Now we will see some solved examples

Solved example 6.1
Find the angle between force $\mathbf\small{\vec{F}=3\hat{i}+4\hat{j}-5\hat{k}}$ unit and displacement $\mathbf\small{\vec{d}=5\hat{i}+4\hat{j}+3\hat{k}}$ unit. Also find the projection of $\mathbf\small{\vec{F}}$ on $\mathbf\small{\vec{d}}$.
Solution:
Part (a):
1. Using Eq.6.8, we get: 
$\mathbf\small{\vec{F}.\vec{d}=F_xd_x+F_yd_y+F_zd_z}$ = 3×5 + 4×4 + -5×3 = 16
2. Using Eq.4.2, we have: $\mathbf\small{|\vec{F}|=\sqrt{F_x^2+F_y^2+F_z^2}=\sqrt{3^2+4^2+(-5)^2}=\sqrt{50}}$ 
3. We have: $\mathbf\small{|\vec{d}|=\sqrt{d_x^2+d_y^2+d_z^2}=\sqrt{5^2+4^2+3^2}=\sqrt{50}}$ 
4. Using Eq.6.1, we get: $\mathbf\small{\vec{F}.\vec{d}=|\vec{F}| |\vec{d}| \cos \theta}$
$\mathbf\small{\sqrt{50} \times \sqrt{50} \times\cos \theta=50 \cos \theta}$
5. Equating (1) and (4), we get: 16 = 50 cos θ
Thus we get: $\mathbf\small{\theta=\cos^{-1}\frac{16}{50}=\cos^{-1}0.32}$
Part (b):
1. Projection of $\mathbf\small{\vec{F}}$ on $\mathbf\small{\vec{d}}$ is $\mathbf\small{|\vec{F}|\cos \theta}$  
2. In (2) above, we calculated $\mathbf\small{|\vec{F}|}$
In (5) above, we calculated $\mathbf\small{\cos \theta}$
3. So $\mathbf\small{|\vec{F}|\cos \theta=\sqrt{50} \times \frac{16}{50}=\frac{16}{\sqrt{50}}}$ 


Note:
• We know that if $\mathbf\small{\vec{A}=A_x\hat{i}+A_y\hat{j}+A_z\hat{k}}$, then $\mathbf\small{|\vec{A}|=A_x^2+A_y^2+A_z^2}$
• Now, after learning dot product, we get a new method to find $\mathbf\small{|\vec{A}|}$
• We will write the steps:
1. Using Eq.6.10 we have: $\mathbf\small{\vec{A}.\vec{A}=A_x^2+A_y^2+A_z^2}$
2. Using Eq.6.2 we have: $\mathbf\small{\vec{A}.\vec{A}=|\vec{A}|^2}$
3. Equating (1) and (20, we get: $\mathbf\small{|\vec{A}|^2=A_x^2+A_y^2+A_z^2}$
Thus we get: $\mathbf\small{|\vec{A}|=\sqrt{A_x^2+A_y^2+A_z^2}=\frac{\vec{A}.\vec{A}}{|\vec{A}|}}$

Solved example 6.2
Prove that the vectors $\mathbf\small{\vec{A}=2\hat{i}-3\hat{j}+\hat{k}}$ and $\mathbf\small{\vec{B}=\hat{i}+\hat{j}+\hat{k}}$ are mutually perpendicular
Solution:
1. Using Eq.6.8, we get: $\mathbf\small{\vec{A}.\vec{B}=A_xB_x+A_yB_y+A_zB_z}$ = 2×1 - 3×1 + 1×1 = 0
2. We have $\mathbf\small{|\vec{A}|=\sqrt{A_x^2+A_y^2+A_z^2}=\sqrt{2^2+(-3)^2+1^2}=\sqrt{14}}$
3. We have $\mathbf\small{|\vec{B}|=\sqrt{B_x^2+B_y^2+B_z^2}=\sqrt{1^2+1^2+1^2}=\sqrt{3}}$
4. Using Eq.6.3 we get: $\mathbf\small{\vec{A}.\vec{B}=|\vec{A}||\vec{B}|\cos \theta=\sqrt{14} \times \sqrt{3} \times \cos \theta=\sqrt{42}\,\cos \theta}$
5. Equating (1) and (4) we get: $\mathbf\small{0=\sqrt{42}\,\cos \theta}$
$\mathbf\small{\Rightarrow \cos \theta=0\;\;\Rightarrow \theta = 90^o}$

Solved example 6.3
Find the component of ($\mathbf\small{\vec{A}+\vec{B}}$) along (i) x axis (ii) $\mathbf\small{\vec{C}}$
Given that: $\mathbf\small{\vec{A}=\hat{i}-2\hat{j},\;\;\vec{B}=2\hat{i}+3\hat{k},\;\;\vec{C}=\hat{i}+\hat{j}}$
Solution:
Part (a):
1. Let $\mathbf\small{\vec{R}=\vec{A}+\vec{B}}$
Then we get: $\mathbf\small{\vec{R}=(\hat{i}-2\hat{j})+(2\hat{i}+3\hat{k})=3\hat{i}-2\hat{j}+3\hat{k}}$
2. Component of $\mathbf\small{\vec{R}}$ along the x axis is $\mathbf\small{|\vec{R}|\cos \theta}$
• Where θ is the angle between $\mathbf\small{\vec{R}}$ and x axis
• So our next aim is to find θ.
3. The vector representation of x axis is $\mathbf\small{\hat{i}}$
• So dot product of $\mathbf\small{\vec{R}}$ and x axis is: $\mathbf\small{\vec{R}.\hat{i}}$
$\mathbf\small{\vec{R}.\hat{i}=(3\hat{i}-2\hat{j}+3\hat{k}).(\hat{i})=3}$
4. Also we have: $\mathbf\small{\vec{R}.\hat{i}=|\vec{R}||\hat{i}|\cos \theta}$
• $\mathbf\small{|\vec{R}|=\sqrt{3^2+(-2)^2+3^2}=\sqrt{22}}$
• $\mathbf\small{|\hat{i}|=1}$
• Thus we get: $\mathbf\small{\vec{R}.\hat{i}=|\vec{R}||\hat{i}|\cos \theta=\sqrt{22}\cos \theta}$
5. Equating (3) and (4) we get: $\mathbf\small{3=\sqrt{22}\cos \theta}$
• Thus we get: $\mathbf\small{\cos \theta=\frac{3}{\sqrt{22}}}$  
6. From (2), we get:
The required component = $\mathbf\small{\sqrt{22} \times \frac{3}{\sqrt{22}}=3}$
Part (b):
1. We have to find the component of $\mathbf\small{\vec{R}}$ along $\mathbf\small{\vec{C}}$
• The required component is $\mathbf\small{|\vec{R}|\cos \theta_1}$
• Where θ1 is the angle between $\mathbf\small{\vec{R}}$ and $\mathbf\small{\vec{C}}$
• So our next aim is to find θ1
2. We have: $\mathbf\small{\vec{R}.\vec{C}=3 \times 1 - 2 \times 1 = 1}$
3. Also we have: $\mathbf\small{\vec{R}.\vec{C}=|\vec{R}||\vec{C}|\cos \theta_1=\sqrt{22}\times \sqrt{2}\times \cos \theta_1}$
4. Equating (8) and (9) we get: $\mathbf\small{1=\sqrt{22}\times \sqrt{2}\times \cos \theta_1}$
$\mathbf\small{\Rightarrow \cos \theta_1=\frac{1}{\sqrt{22}\times \sqrt{2}}}$
5. Thus the required component = $\mathbf\small{|\vec{R}|\cos \theta_1=\sqrt{22}\times\frac{1}{\sqrt{22}\times \sqrt{2}}=\frac{1}{\sqrt{2}}}$

In the next section, we will see work done by a force

PREVIOUS           CONTENTS          NEXT

Copyright©2019 Higher Secondary Physics. blogspot.in - All Rights Reserved

Wednesday, January 9, 2019

Chapter 6.1 - Properties of Scalar product

In the previous section, we saw that scalar product of vectors obeys distributive law. In this section, we will see a practical application of the distributive law. We will also see a few more properties of the scalar product.

We will write the steps:
1. Consider the scalar product $\mathbf\small{\vec{A}.\vec{B}}$
2. Let the rectangular components of  $\mathbf\small{\vec{B}}$ be $\mathbf\small{B_x\,\hat{i}\;\; \text{and}\;\;B_y\,\hat{j}}$
3. Then we can write: $\mathbf\small{\vec{A}.\vec{B}=\vec{A}.[B_x\,\hat{i}+B_y\,\hat{j}]}$
• Applying distributive law, we get: $\mathbf\small{\vec{A}.\vec{B}=\vec{A}.(B_x\,\hat{i})+\vec{A}.(B_y\,\hat{j})}$
4. Now, let the rectangular components of  $\mathbf\small{\vec{A}}$ be $\mathbf\small{A_x\,\hat{i}\;\; \text{and}\;\;A_y\,\hat{j}}$
• Then the result in (3) becomes: $\mathbf\small{\vec{A}.\vec{B}=[A_x\,\hat{i}+A_y\,\hat{j}].(B_x\,\hat{i})+[A_x\,\hat{i}+A_y\,\hat{j}].(B_y\,\hat{j})}$
5. Applying distributive law, we get:
$\mathbf\small{\vec{A}.\vec{B}=(A_x\,\hat{i}.B_x\,\hat{i})+(A_y\,\hat{j}.B_x\,\hat{i})+(A_x\,\hat{i}.B_y\,\hat{j})+(A_y\,\hat{j}.B_y\,\hat{j})}$
6. There are 4 terms on the right side. We will analyse each of them separately.
First term is $\mathbf\small{(A_x\,\hat{i}.B_x\,\hat{i})}$  
• This is a dot product of two vectors $\mathbf\small{A_x\,\hat{i}\;\; \text{and}\;\;B_x\,\hat{i}}$ 
• To calculate the dot product, we want three items:
(i) The magnitude of the first vector
• In this case, it is $\mathbf\small{A_x}$
(ii) The magnitude of the second vector
• In this case, it is $\mathbf\small{B_x}$
(iii) Cosine of the angle θ between the two vectors
• In this case, both the vectors lie along the x axis. That means they are parallel
• The angle θ between them will be 0
• So cos θ = cos 0 = 1
■ Thus we get: $\mathbf\small{(A_x\,\hat{i}.B_x\,\hat{i})=A_x \times B_x \times \cos 0 =A_x \times B_x \times 1 = A_x \times B_x }$

Second term is $\mathbf\small{(A_y\,\hat{j}.B_x\,\hat{i})}$  
• This is a dot product of two vectors $\mathbf\small{A_y\,\hat{j}\;\; \text{and}\;\;B_x\,\hat{i}}$ 
• To calculate the dot product, we want three items:
(i) The magnitude of the first vector
• In this case, it is $\mathbf\small{A_y}$
(ii) The magnitude of the second vector
• In this case, it is $\mathbf\small{B_x}$
(iii) Cosine of the angle θ between the two vectors
• In this case, the first vector lies along the y axis and the second vector lies along the x axis. That means they are perpendicular
• The angle θ between them will be 90o
• So cos θ = cos 90 = 0
(This is obvious because, we cannot project a vector onto another perpendicular vector)
■ Thus we get: $\mathbf\small{(A_y\,\hat{j}.B_x\,\hat{i})=A_y \times B_x \times \cos 90 =A_y \times B_x \times 0 = 0}$

Third term is $\mathbf\small{(A_x\,\hat{i}.B_y\,\hat{j})}$  
• This is a dot product of two vectors $\mathbf\small{A_x\,\hat{i}\;\; \text{and}\;\;B_y\,\hat{j}}$ 
• To calculate the dot product, we want three items:
(i) The magnitude of the first vector
• In this case, it is $\mathbf\small{A_x}$
(ii) The magnitude of the second vector
• In this case, it is $\mathbf\small{B_y}$
(iii) Cosine of the angle θ between the two vectors
• In this case, the first vector lies along the x axis and the second vector lies along the y axis. That means they are perpendicular
• The angle θ between them will be 90o
• So cos θ = cos 90 = 0
(This is obvious because, we cannot project a vector onto another perpendicular vector)
■ Thus we get: $\mathbf\small{(A_x\,\hat{i}.B_y\,\hat{j})=A_x \times B_y \times \cos 90 =A_x \times B_y \times 0 = 0}$

Fourth term is $\mathbf\small{(A_y\,\hat{j}.B_y\,\hat{j})}$  
• This is a dot product of two vectors $\mathbf\small{A_y\,\hat{j}\;\; \text{and}\;\;B_y\,\hat{j}}$ 
• To calculate the dot product, we want three items:
(i) The magnitude of the first vector
• In this case, it is $\mathbf\small{A_y}$
(ii) The magnitude of the second vector
• In this case, it is $\mathbf\small{B_y}$
(iii) Cosine of the angle θ between the two vectors
• In this case, both the vectors lie along the y axis. That means they are parallel
• The angle θ between them will be 0
• So cos θ = cos 0 = 1
■ Thus we get: $\mathbf\small{(A_y\,\hat{j}.B_y\,\hat{j})=A_y \times B_y \times \cos 0 =A_y \times B_y \times 1 = A_y \times B_y }$
7. Out of the four terms, the second and third terms become zero. So the final result is:
$\mathbf\small{\vec{A}.\vec{B}=(A_x\,\hat{i}.B_x\,\hat{i})+(A_y\,\hat{j}.B_y\,\hat{j})}$
That is: $\mathbf\small{\vec{A}.\vec{B}=A_xB_x+A_yB_y}$
■ We will write it as a result for easy reference
Eq.6.5:
$\mathbf\small{\text{If}\;\;\vec{A}=A_x\,\hat{i}+A_y\,\hat{j}}$
$\mathbf\small{\text{And}\;\;\vec{B}=B_x\,\hat{i}+B_y\,\hat{j}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{B}=A_xB_x+A_yB_y}$
8. From the above steps, we get two important results:
(i) The scalar product of two parallel vectors is simply the product of their magnitudes
• This is clear from the analysis of first and fourth terms
(ii) The scalar product of two perpendicular vectors is zero
• This is clear from the analysis of second and third terms
■ We will write them as results for easy reference
Eq.6.6:
$\mathbf\small{\text{If}\;\;\vec{A}\;\;\text{and}\;\;\vec{B}\;\;\text{are parallel}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{B}=|\vec{A}|\times |\vec{B}|}$
Eq.6.7:
$\mathbf\small{\text{If}\;\;\vec{A}\;\;\text{and}\;\;\vec{B}\;\;\text{are perpendicular}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{B}=0}$
9. The result in (7) can be extended to three dimensions also. We get:
Eq.6.8:
$\mathbf\small{\text{If}\;\;\vec{A}=A_x\,\hat{i}+A_y\,\hat{j}+A_z\,\hat{k}}$
$\mathbf\small{\text{And}\;\;\vec{B}=B_x\,\hat{i}+B_y\,\hat{j}+B_z\,\hat{k}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{B}=A_xB_x+A_yB_y+A_zB_z}$

Just as we calculated $\mathbf\small{\vec{A}.\vec{B}}$ above, we can calculate $\mathbf\small{\vec{A}.\vec{A}}$ also
We will write the steps:
1. Consider the scalar product $\mathbf\small{\vec{A}.\vec{A}}$
2. Let the rectangular components of  $\mathbf\small{\vec{A}}$ be $\mathbf\small{A_x\,\hat{i}\;\; \text{and}\;\;A_y\,\hat{j}}$
3. Then we can write: $\mathbf\small{\vec{A}.\vec{A}=\vec{A}.[A_x\,\hat{i}+A_y\,\hat{j}]}$
Applying distributive law, we get: $\mathbf\small{\vec{A}.\vec{A}=\vec{A}.(A_x\,\hat{i})+\vec{A}.(A_y\,\hat{j})}$
4. Now, split the other $\mathbf\small{\vec{A}}$ also
Then the result in (3) becomes: $\mathbf\small{\vec{A}.\vec{A}=[A_x\,\hat{i}+A_y\,\hat{j}].(A_x\,\hat{i})+[A_x\,\hat{i}+A_y\,\hat{j}].(A_y\,\hat{j})}$
5. Applying distributive law, we get:
$\mathbf\small{\vec{A}.\vec{A}=(A_x\,\hat{i}.A_x\,\hat{i})+(A_y\,\hat{j}.A_x\,\hat{i})+(A_x\,\hat{i}.A_y\,\hat{j})+(A_y\,\hat{j}.A_y\,\hat{j})}$
6. There are 4 terms on the right side
• Each term is a dot product of two vectors
• If the two vectors in a term are perpendicular to each other, that term will become zero
• Thus the second and third terms will become zero 
7. So the final result is:
$\mathbf\small{\vec{A}.\vec{A}=(A_x\,\hat{i}.A_x\,\hat{i})+(A_y\,\hat{j}.A_y\,\hat{j})}$
That is: $\mathbf\small{\vec{A}.\vec{A}=A_xA_x+A_yA_y}$
That is: $\mathbf\small{\vec{A}.\vec{A}=A_x^2+A_y^2}$
■ We will write it as a result for easy reference
Eq.6.9:
$\mathbf\small{\text{If}\;\;\vec{A}=A_x\,\hat{i}+A_y\,\hat{j}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{A}=A_x^2+A_y^2}$
8. The result in (7) can be extended to three dimensions also. We get:
$\mathbf\small{\vec{A}.\vec{A}=(A_x\,\hat{i}+A_y\,\hat{j}+A_z\,\hat{k}).(A_x\,\hat{i}+A_y\,\hat{j}+A_z\,\hat{k})=A_x^2+A_y^2+A_z^2}$
■ We will write it as a result for easy reference
Eq.6.10:
$\mathbf\small{\text{If}\;\;\vec{A}=A_x\,\hat{i}+A_y\,\hat{j}+A_z\,\hat{k}}$
$\mathbf\small{\text{Then}\;\;\vec{A}.\vec{A}=A_x^2+A_y^2+A_z^2}$

Next we will prove that, if $\mathbf\small{\vec{B}=B_x\:\hat{i}+B_y\:\hat{j}}$, 
Then: $\mathbf\small{\lambda\vec{B}=\lambda(B_x\:\hat{i}+B_y\:\hat{j})=(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}}$
Where $\mathbf\small{\lambda}$  is a scalar quantity
• A graphic representation of this property is shown in fig.6.5 below:
Fig.6.5
• $\mathbf\small{B_x\,\hat{i}\; \text{and}\;B_y\,\hat{j}}$ are the rectangular components of $\mathbf\small{\vec{B}}$
• $\mathbf\small{B_x\,\hat{i}}$ is multiplied by a scalar $\mathbf\small{\lambda}$
    ♦ This gives a new vector
• $\mathbf\small{B_y\,\hat{j}}$ is multiplied by the same scalar $\mathbf\small{\lambda}$
    ♦ This gives another new vector
• There will be a resultant for these two new vectors
• This new resultant is $\mathbf\small{\vec{B}}$ multiplied by $\mathbf\small{\lambda}$
■ That means:
    ♦ The magnitude of the new resultant is: $\mathbf\small{\lambda |\vec{B}|}$
    ♦ The direction of the new resultant is same as that of $\mathbf\small{\vec{B}}$   
We will write the steps to prove it:
1. On the left side, we are multiplying a vector by a scalar $\mathbf\small{\lambda}$
• Then the magnitude of the new vector will become ${\mathbf\small{\lambda |\vec{B}|}}$
• The direction of the new vector will be same as the original
• We have to arrive at the above results from the right side also. Let us try:
2. On the right side, we have a vector: $\mathbf\small{(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}}$
• The magnitude of this vector will be: $\mathbf\small{\sqrt{(\lambda B_x)^2+(\lambda B_y)^2}=\sqrt{\lambda^2 B_x^2+\lambda^2 B_y^2}}$ (Using Eq.4.2)
$\mathbf\small{=\sqrt{\lambda^2 (B_x^2+ B_y^2)}=\lambda \sqrt{(B_x^2+ B_y^2)}=\lambda |\vec{B}|}$
• So magnitude of  $\mathbf\small{(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}}$ is same as the magnitude of $\mathbf\small{\lambda\vec{B}}$
3. The direction of $\mathbf\small{(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}}$ is given by:
$\mathbf\small{\theta =\tan ^{-1}\frac{\lambda B_y}{\lambda B_x}=\tan ^{-1}\frac{B_y}{B_x}}$ 
• So direction of  $\mathbf\small{(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}}$ is same as the direction of $\mathbf\small{\lambda\vec{B}}$
Thus we proved that: $\mathbf\small{\lambda\vec{B}=\lambda(B_x\:\hat{i}+B_y\:\hat{j})=(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}}$
■ We will write it as a result for easy reference
Eq.6.11:
$\mathbf\small{\text{If}\;\;\vec{B}=B_x\,\hat{i}+B_y\,\hat{j}}$
$\mathbf\small{\text{Then}\;\;\lambda\vec{B}=(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}}$

Next we will prove that $\mathbf\small{\vec{A}.(\lambda \vec{B})=\lambda(\vec{A}.\vec{B})}$
We will write the steps:
1. First we will work on the left side
$\mathbf\small{\lambda\vec{B}=(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}}$
[Using Eq.6.11]
• Now, multiplying both sides by $\mathbf\small{\vec{A}}$, we get:
$\mathbf\small{\vec{A}.(\lambda\vec{B})=\vec{A}[(\lambda B_x)\:\hat{i}+(\lambda B_y)\:\hat{j}]}$
• Applying distributive law, we get:
$\mathbf\small{\vec{A}.(\lambda\vec{B})=\vec{A}.[(\lambda B_x)\:\hat{i}]+\vec{A.}[(\lambda B_y)\:\hat{j}}]$
• Now we put $\mathbf\small{\vec{A}=(A_x\:\hat{i}+A_y\:\hat{j})}$. We get: 
$\mathbf\small{\vec{A}.(\lambda \vec{B})=(A_x\:\hat{i}+A_y\:\hat{j}).[(\lambda B_x)\:\hat{i}]+(A_x\:\hat{i}+A_y\:\hat{j}).[(\lambda B_y)\:\hat{j}}]$
• Applying distributive law, we get:
$\mathbf\small{\vec{A}.(\lambda \vec{B})=A_x\:\hat{i}.[(\lambda B_x)\:\hat{i}]+A_y\:\hat{j}.[(\lambda B_x)\:\hat{i}]+A_x\:\hat{i}.[(\lambda B_y)\:\hat{j}]+A_y\:\hat{j}.[(\lambda B_y)\:\hat{j}]}$
2. There are 4 terms in the above result
• Each term is a dot product of two vectors
• If the two vectors in a term are perpendicular to each other, that term will become zero
• Thus the second and third terms will become zero
• We get: $\mathbf\small{\vec{A}.(\lambda \vec{B})=A_x\:\hat{i}.[(\lambda B_x)\:\hat{i}]+A_y\:\hat{j}.[(\lambda B_y)\:\hat{j}]}$
$\mathbf\small{=A_x(\lambda B_x)+A_y(\lambda B_y)}$
$\mathbf\small{=\lambda A_xB_x+\lambda A_yB_y}$
3. Now we work on the right side
• On the right side, we have $\mathbf\small{\lambda(\vec{A}.\vec{B})}$
• But using Eq6.5, $\mathbf\small{\vec{A}.\vec{B}=A_xB_x+A_yB_y}$
• So the right side becomes: $\mathbf\small{\lambda (\vec{A}.\vec{B})=\lambda (A_xB_x+A_yB_y)=\lambda A_xB_x+\lambda A_yB_y}$
• This is same as the result in (2)
• So L.H.S = R.H.S
• Thus we proved that $\mathbf\small{\vec{A}.(\lambda \vec{B})=\lambda(\vec{A}.\vec{B})}$
■ We will write it as a result for easy reference
Eq.6.12:
$\mathbf\small{\vec{A}.(\lambda \vec{B})=\lambda(\vec{A}.\vec{B})}$

In the next section, we will continue this discussion and see some properties related to unit vectors. We will also see some solved examples

PREVIOUS           CONTENTS          NEXT

Copyright©2019 Higher Secondary Physics. blogspot.in - All Rights Reserved

Monday, January 7, 2019

Chapter 6 - Work, Energy and Power

In the previous section, we completed a discussion on centripetal force. In this chapter, we will see work, energy and power.

■ When we hear the word ‘work’, different situations come to our minds:
    ♦ A farmer working in the field
    ♦ A student working to pass an exam
    ♦ An artist working on a sculpture
• In this chapter, we try to give a precise meaning for the word ‘work’. 
• Once we do that, we will be able to do mathematical calculations to obtain ‘amount of work’
■ When we hear the word ‘energy’, different situations come to our minds:
    ♦ A person having the ability to work tirelessly for 14 hours surely has greater energy than a person who gets tired after 8 hours of work
    ♦ A long distance runner surely has greater energy than a short distance runner
    ♦ A large pile of firewood can supply a larger quantity of energy than a small pile
• In this chapter, we try to give a precise meaning for the word ‘energy’. 
• Once we do that, we will be able to do mathematical calculations to obtain ‘amount of energy’
■ When we hear the word ‘power’, different situations come to our minds
    ♦ A large crane can unload a truck in a shorter time than a small crane. The amount of load is the same. But time requirements are different. We tend to say: The larger crane is more powerful than the smaller crane
    ♦ A large hotplate can cook food within a lesser time than a small hotplate. The amount of cooked food may be the same. But time requirements are different. We tend to say: The larger hotplate is more powerful than the small hotplate
• In this chapter, we try to give a precise meaning for the word ‘power’. 
• Once we do that, we will be able to do mathematical calculations to obtain ‘amount of power’

• Before we begin our discussion on work, energy and power, we have to learn about the ‘multiplication of vectors’
• We have seen the details about vectors in a previous chapter
• Physical quantities like velocity, displacement, acceleration etc., are vectors
• We have seen how to add or subtract vectors
• Now we will see their multiplication
■ There are two ways for multiplying vectors
(i) The scalar product
This gives a scalar from two vectors
(ii) The vector product
This gives a new vector from two vectors

In this chapter we will be using scalar products only. We will see vector products in the next chapter. Following steps will help us to learn about scalar products:

1. Consider two vectors $\mathbf\small{\vec{A}}$ and $\mathbf\small{\vec{B}}$
• Their scalar product is defined as: $\mathbf\small{\vec{A}.\vec{B}=|\vec{A}||\vec{B}|\cos \theta}$
    ♦ Where θ is the angle between A and B
• This is shown in fig.6.1(a) below:
Fig.6.1
2. $\mathbf\small{\vec{A}.\vec{B}}$ is read as: 'A dot B'
• So 'scalar product' is also known as 'dot product'
3. In fig.6.1(a), OP represents $\mathbf\small{\vec{A}}$ and OQ represents $\mathbf\small{\vec{B}}$
• Drop a perpendicular from P to OQ. Let R be the foot of the perpendicular
• Then obviously, $\mathbf\small{OR=|\vec{A}|\cos \theta}$
• That is., OR is the projection of $\mathbf\small{\vec{A}}$ onto $\mathbf\small{\vec{B}}$
• In other words, OR is the 'magnitude of the component of $\mathbf\small{\vec{A}}$' along $\mathbf\small{\vec{B}}$
4. We defined the scalar product as: $\mathbf\small{\vec{A}.\vec{B}=|\vec{A}||\vec{B}|\cos \theta}$ 
• On the right side, there are 3 items: $\mathbf\small{|\vec{A}|,\,|\vec{B}|,\,\cos \theta}$ 
• Let us group them into two:
(i) $\mathbf\small{|\vec{B}|}$
(ii) $\mathbf\small{|\vec{A}|\cos \theta}$
5. The scalar product is actually the product of 4(i) and 4(ii)
• So we can write:
The scalar product of two vectors $\mathbf\small{\vec{A}}$ and $\mathbf\small{\vec{B}}$ is the product of two items:
(i) Magnitude of $\mathbf\small{\vec{B}}$
(ii) 'Magnitude of the component of $\mathbf\small{\vec{A}}$' along $\mathbf\small{\vec{B}}$ 
Alternate definition:
The scalar product of two vectors $\mathbf\small{\vec{A}}$ and $\mathbf\small{\vec{B}}$ is the product of two items:
(i) Magnitude of $\mathbf\small{\vec{B}}$
(ii) 'Projection of $\mathbf\small{\vec{A}}$' along $\mathbf\small{\vec{B}}$ 

(i) $\mathbf\small{|\vec{A}|}$
(ii) $\mathbf\small{|\vec{B}|\cos \theta}$
7. The scalar product is actually the product of 5(i) and 5(ii)
(This is because, three scalars can be multiplied in any order. The final product will not change)
• So we can write in this way also:
The scalar product of two vectors $\mathbf\small{\vec{A}}$ and $\mathbf\small{\vec{B}}$ is the product of two items:
(i) Magnitude of $\mathbf\small{\vec{A}}$
(ii) 'Magnitude of the component of $\mathbf\small{\vec{B}}$' along $\mathbf\small{\vec{A}}$
• This is shown in fig.c
• Alternate definition:
The scalar product of two vectors $\mathbf\small{\vec{A}}$ and $\mathbf\small{\vec{B}}$ is the product of two items:
(i) Magnitude of $\mathbf\small{\vec{A}}$
(ii) 'Projection of $\mathbf\small{\vec{B}}$' along $\mathbf\small{\vec{A}}$
• OS is the projection of $\mathbf\small{\vec{B}}$ onto $\mathbf\small{\vec{A}}$
8. To obtain the projection, the tail ends of the two vectors need not be at the same point
• If the two vectors are at some distance apart, two perpendiculars should be dropped. This is shown in fig.d
• The green dashed line is parallel to $\mathbf\small{\vec{B}}$
• Details about 'angle between vectors' can be seen here.

An example:
• $\mathbf\small{\vec{F}}$ has magnitude 3 units. It makes 60o with the x axis 
• $\mathbf\small{\vec{d}}$ has magnitude 5 units. It makes 20o with the x axis
• Find $\mathbf\small{\vec{F}.\vec{d}}$
Solution:
The two vectors are shown in fig.6.2(a) below:
Fig.6.2
We will find the answer using 3 different methods
Method 1:
1. Shift $\mathbf\small{\vec{F}}$ so that it's tail end coincide with the tail end of $\mathbf\small{\vec{d}}$
• This is shown in fig.6.2(b)
2. The angle between the two vectors is obviously (60-20) = 40o.
3. The 'projection of $\mathbf\small{\vec{F}}$' along $\mathbf\small{\vec{d}}$ is $\mathbf\small{|\vec{F}|\cos 40=3 \cos 40=2.298}$
• This is marked as OP
4. We have:
The scalar product of two vectors $\mathbf\small{\vec{d}}$and $\mathbf\small{\vec{F}}$ is the product of two items:
(i) Magnitude of $\mathbf\small{\vec{d}}$
    ♦ This magnitude is given as 5 units
(ii) 'Projection of $\mathbf\small{\vec{F}}$' along $\mathbf\small{\vec{d}}$  
    ♦ We obtained this as 2.298
■ Thus the required product is: (5 × 2.298) = 11.49 units.
• This product is a scalar quantity.

Method 1 (alternate):
1. In this method, we do not shift $\mathbf\small{\vec{F}}$. It is kept in it's original position 
• The projection is obtained by drawing two perpendiculars from the ends of $\mathbf\small{\vec{F}}$
• This is shown in fig.6.2(c)
2. The 'projection of $\mathbf\small{\vec{F}}$' along $\mathbf\small{\vec{d}}$ is $\mathbf\small{|\vec{F}|\cos 40=3 \cos 40=2.298}$
• This is marked as MN
3. We have:
The scalar product of two vectors $\mathbf\small{\vec{d}}$and $\mathbf\small{\vec{F}}$ is the product of two items:
(i) Magnitude of $\mathbf\small{\vec{d}}$
    ♦ This magnitude is given as 5 units
(ii) 'Projection of $\mathbf\small{\vec{F}}$' along $\mathbf\small{\vec{d}}$  
    ♦ We obtained this as 2.298
■ Thus the required product is: (5 × 2.298) = 11.49 units.
• This product is a scalar quantity.

Method 2:
1. Shift $\mathbf\small{\vec{F}}$ so that it's tail end coincide with the tail end of $\mathbf\small{\vec{d}}$
• This is shown in fig.6.2(b) above
2. The angle between the two vectors is obviously (60-20) = 40o.
3. The 'projection of $\mathbf\small{\vec{d}}$' along $\mathbf\small{\vec{F}}$ is $\mathbf\small{|\vec{d}|\cos 40=5 \cos 40=3.83}$
• This is marked as OQ in fig.6.3(a) below:
Fig.6.3
4. We have:
The scalar product of two vectors $\mathbf\small{\vec{F}}$ and $\mathbf\small{\vec{d}}$ is the product of two items:
(i) Magnitude of $\mathbf\small{\vec{F}}$
    ♦ This magnitude is given as 3 units
(ii) 'Projection of $\mathbf\small{\vec{d}}$' along $\mathbf\small{\vec{F}}$  
    ♦ We obtained this as 3.83
■ Thus the required product is: (3 × 3.83) = 11.49 units.
• This product is a scalar quantity.

Method 2 (alternate):
1. In this method, we do not shift $\mathbf\small{\vec{F}}$. It is kept in it's original position 
• The projection is obtained by drawing two perpendiculars from the ends of $\mathbf\small{\vec{d}}$
• This is shown in fig.6.3(b)
2. The 'projection of $\mathbf\small{\vec{d}}$' along $\mathbf\small{\vec{F}}$ is $\mathbf\small{|\vec{F}|\cos 40=5 \cos 40=3.83}$
• This is marked as UV
3. We have:
The scalar product of two vectors $\mathbf\small{\vec{F}}$ and $\mathbf\small{\vec{d}}$ is the product of two items:
(i) Magnitude of $\mathbf\small{\vec{F}}$
    ♦ This magnitude is given as 3 units
(ii) 'Projection of $\mathbf\small{\vec{F}}$' along $\mathbf\small{\vec{d}}$  
    ♦ We obtained this as 3.83
■ Thus the required product is: (3 × 3.83) = 11.49 units.
• This product is a scalar quantity.

Method 3:
• This time, we simply use the formula: $\mathbf\small{\vec{F}.\vec{d}=|\vec{F}|\times|\vec{d}|\times\cos \theta}$
    ♦ Where θ is the angle between the two vectors
• Substituting the values, we get: $\mathbf\small{\vec{F}.\vec{d}=3\times5\times\cos 40=3\times5\times 0.7660=11.49\,\text{units}}$
■ So in all the three methods, we get the same result. We find that, method 3 is the simplest
■ We will write it as a result for easy reference
Eq.6.1: $\mathbf\small{\vec{A}.\vec{B}=|\vec{A}||\vec{B}|\cos \theta}$
• Where θ is the angle between $\mathbf\small{\vec{A}}$ and $\mathbf\small{\vec{B}}$



Based on this, we get another interesting result:
■ What is the scalar product of a vector with itself?
■ In other words, What is $\mathbf\small{\vec{A}.\vec{A}}$?
Answer:
• The projection of a vector $\mathbf\small{\vec{A}}$ on itself is obviously $\mathbf\small{|\vec{A}|}$  
• The angle θ between a vector and itself is obviously 0
    ♦ So cos θ = cos 0 = 1
• Thus we get: $\mathbf\small{\vec{A}.\vec{A}=|\vec{A}|\times |\vec{A}|\times \cos 0=|\vec{A}|\times |\vec{A}|\times 1=|\vec{A}|^2}$
■ We will write it as a result for easy reference
Eq.6.2: $\mathbf\small{\vec{A}.\vec{A}=|\vec{A}|^2}$


• In the above example, the magnitude and direction (in the form of angle with x axis) of the vectors were given. We were able to find the scalar product easily
• But some times vectors will be given in the form:
$\mathbf\small{\vec{A}=A_x\,\hat{i}+A_y\,\hat{j}}$
$\mathbf\small{\vec{B}=B_x\,\hat{i}+B_y\,\hat{j}}$ 
■ How do we find the scalar products in such cases?
• We will see the method in the next section


■ From the above discussions, it is obvious that $\mathbf\small{\vec{A}.\vec{B}=\vec{B}.\vec{A}}$
■ That is., scalar product obeys commutative law
■ We will write it as a result for easy reference
Eq.6.3: $\mathbf\small{\vec{A}.\vec{B}=\vec{B}.\vec{A}}$


The scalar product obeys distributive law

• We know that 'ordinary numbers' obey distributive law
• That is., p(q+r) = pq+pr
An example:
• 3×(5+9) = 3 × 14 = 42 
• 3×(5+9) = (3×5)+(3×9) = 15 + 27 =42
■ Now we want to prove that scalar product obeys distributive law
Let us write the steps:
1. In fig.6.4(a) below, $\mathbf\small{\vec{A},\,\vec{B}\,\text{and}\,\vec{C}}$ are 3 vectors
Proof that the scalar product or dot product of vectors obeys distributive law
Fig.6.4
• We want to prove that: $\mathbf\small{(\vec{A}+\vec{B}).\vec{C}=\vec{A}.\vec{C}+\vec{B}.\vec{C}}$
2. The resultant of $\mathbf\small{\vec{A}\,\text{and}\,\vec{B}}$ is $\mathbf\small{(\vec{A}+\vec{B})}$. It is drawn in fig.b
• It is obtained using the 'head to tail method'
3. The resultant $\mathbf\small{(\vec{A}+\vec{B})}$ makes an angle θ with $\mathbf\small{\vec{C}}$  
• So projection of $\mathbf\small{(\vec{A}+\vec{B})}$ on $\mathbf\small{\vec{C}}$ is $\mathbf\small{|\vec{R}|\cos \theta}$
• Where $\mathbf\small{\vec{R}=\vec{A}+\vec{B}}$
• This projection is shown as OP in fig.c
4. So we can write: $\mathbf\small{(\vec{A}+\vec{B}).\vec{C}=\vec{R}.\vec{C}}$
$\mathbf\small{=\text{Projection of}\,\,\vec{R}\,\,\text{on}\,\,\vec{C}\times| \vec{C}|}$
$\mathbf\small{=OP\times| \vec{C}|}$
5. Now consider fig.d. We see that OP = (OQ+QP)
• That is.,$\mathbf\small{OP=\text{Projection of}\,\,\vec{A}\,\,\text{on}\,\,\vec{C}+\text{Projection of}\,\,\vec{B}\,\,\text{on}\,\,\vec{C}}$
• We can write this in the place of 'OP' in the result in step (4). We get:
$\mathbf\small{OP\times| \vec{C}|=(\text{Projection of}\,\,\vec{A}\,\,\text{on}\,\,\vec{C}+\text{Projection of}\,\,\vec{B}\,\,\text{on}\,\,\vec{C})\times|\vec{C}|}$
$\mathbf\small{\Longrightarrow OP\times| \vec{C}|=(\text{Projection of}\,\,\vec{A}\,\,\text{on}\,\,\vec{C}\times|\vec{C}|+\text{Projection of}\,\,\vec{B}\,\,\text{on}\,\,\vec{C}\times|\vec{C}|)}$
$\mathbf\small{\Longrightarrow OP\times| \vec{C}|=(\vec{A}.\vec{C}+\vec{B}.\vec{C})}$
6. But from (4), we have: $\mathbf\small{OP\times| \vec{C}|=(\vec{A}+\vec{B}).\vec{C}}$
Thus we get: $\mathbf\small{(\vec{A}+\vec{B}).\vec{C}=(\vec{A}.\vec{C}+\vec{B}.\vec{C})}$
■ We will write it as a result for easy reference
Eq.6.4: $\mathbf\small{(\vec{A}+\vec{B}).\vec{C}=(\vec{A}.\vec{C}+\vec{B}.\vec{C})}$

So now we know that scalar product obeys distributive law. In the next section, we will put it to a practical application

PREVIOUS           CONTENTS          NEXT

Copyright©2018 Higher Secondary Physics. blogspot.in - All Rights Reserved