Showing posts with label derivatives. Show all posts
Showing posts with label derivatives. Show all posts

Thursday, October 24, 2024

22.11 - Change In Quantity

In the previous section, we completed a discussion on calculation of error. In this section, we will see how it can be used to find change in quantity.

The basic details can be demonstrated using an example. It can be written in 4 steps:
1. We know that, volume of a cube can be obtained using the formula: $\rm{V = l^3}$
   ♦ V is the volume of the cube.
   ♦ l is the length of side of the cube.
2. Based on the above formula, we can say that, volume is a function of length. That is.,
$\rm{V = f(l) = l^3}$
3. Consider a cube with side 5 cm.
• It's volume will be 53 = 125 cm3.
4. Suppose that, the side is increased by 2%.
• Then the new length of side = 1.02(l) = 1.02(5) = 5.1 cm
• In such a situation, there will be an increase in the volume of the cube.
• How much increase will be taking place?
Answer can be written in 4 steps:
(i) Original volume =
$\rm{V_1 \,=\, f(l_1) \,=\, {l_1}^3 \,=\, 5^3}$
(ii) New volume =
$\rm{V_2 \,=\, f(l_2) \,=\, {l_2}^3 \,=\, 5.1^3}$
(iii) So the change in volume =
$\rm{V_2 - V_1 \,=\, \Delta V \,=\, 5.1^3 ~-~5^3}$
(iv) But based on differential approximation that we learned in the previous section, we need not find the exact ΔV. we can write:
   ♦ ΔV ≈ dV (This is possible because, l2 is close to l1)
   ♦ dV = f'(l1).dl
• Thus we get:
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{dV}    & {~=~}    &{f'(l_1) . dl}    \\
{~\color{magenta}    2    }    &{{}}    &{{}}    & {~=~}    &{ (3 {l_1}^2) . (l_2 - l_1)}    \\
{~\color{magenta}    3    }    &{{}}    &{{}}    & {~=~}    &{ 3({5}^2) . (5.1 - 5)}    \\
{~\color{magenta}    4    }    &{{}}    &{{}}    & {~=~}    &{3 (25) (0.1)}    \\
{~\color{magenta}    5    }    &{{}}    &{{}}    & {~=~}    &{7.5~\rm{cm^3}}    \\
\end{array}$


Let us cross check by calculating the actual change in volume ΔV.
$\rm{\Delta V \,=\, V_2 - V_1 \,=\, 5.1^3 - 5^3 \,=\,132.651 \, - \, 125 \,=\,7.651 ~ {cm}^3}$

• When we use differential approximation, we get 7.5.
• 7.5 is approximately equal to 7.651.

Solved example 22.39
Find the approximate change in the volume V of a cube of side x meters caused by increasing the side by 1%.
Solution:
1. We have:
   ♦ V = f(l) = l3
   ♦ ΔV ≈ dV (This is possible when l2 is close to l1)
   ♦ dV = f'(l1).dl
2. Original length = x m
Increased length = 1.01x m
3. Fixing l1 and l2:
l2 must be the value which causes the difficulty. So we put:
   ♦ l2 = 1.01x cm
   ♦ l1 = x cm
4. Then we get:
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{dV}    & {~=~}    &{f'(l_1) . dl}    \\
{~\color{magenta}    2    }    &{{}}    &{{}}    & {~=~}    &{ (3 {l_1}^2) . (l_2 - l_1)}    \\
{~\color{magenta}    3    }    &{{}}    &{{}}    & {~=~}    &{ 3({x}^2) . (1.01x - x)}    \\
{~\color{magenta}    4    }    &{{}}    &{{}}    & {~=~}    &{3 x^2 (0.01 x)}    \\
{~\color{magenta}    5    }    &{{}}    &{{}}    & {~=~}    &{0.03 x^3~\rm{m^3}}    \\
\end{array}$

Solved example 22.40
Find the approximate change in the surface area of a cube of side x meters caused by decreasing the side by 1%.
Solution:
1. We have:
   ♦ S = f(l) = 6l2
   ♦ ΔS ≈ dS (This is possible when l2 is close to l1)
   ♦ dS = f'(l1).dl
2. Original length = x m
Decreased length = 0.99x m
3. Fixing l1 and l2:
l2 must be the value which causes the difficulty. So we put:
   ♦ l2 = 0.99x cm
   ♦ l1 = x cm
4. Then we get:
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{dV}    & {~=~}    &{f'(l_1) . dl}    \\
{~\color{magenta}    2    }    &{{}}    &{{}}    & {~=~}    &{ 6( 2 l_1) . (l_2 - l_1)}    \\
{~\color{magenta}    3    }    &{{}}    &{{}}    & {~=~}    &{ 12{x} . (0.99x - x)}    \\
{~\color{magenta}    4    }    &{{}}    &{{}}    & {~=~}    &{12 x (0.01 x)}    \\
{~\color{magenta}    5    }    &{{}}    &{{}}    & {~=~}    &{0.12 x^2~\rm{m^2}}    \\
\end{array}$

Solved example 22.41
The approximate change in the volume of a cube of side x meters caused by increasing the side by 3% is
(A) 0.06 x3 m3    (B) 0.6 x3 m3    (C) 0.09 x3 m3    (B) 0.9 x3 m3
Solution:
1. We have:
   ♦ V = f(l) = l3
   ♦ ΔV ≈ dV (This is possible when l2 is close to l1)
   ♦ dV = f'(l1).dl
2. Original length = x m
Increased length = 1.03x m
3. Fixing l1 and l2:
l2 must be the value which causes the difficulty. So we put:
   ♦ l2 = 1.03x cm
   ♦ l1 = x cm
4. Then we get:
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{dV}    & {~=~}    &{f'(l_1) . dl}    \\
{~\color{magenta}    2    }    &{{}}    &{{}}    & {~=~}    &{ (3 {l_1}^2) . (l_2 - l_1)}    \\
{~\color{magenta}    3    }    &{{}}    &{{}}    & {~=~}    &{ 3({x}^2) . (1.03x - x)}    \\
{~\color{magenta}    4    }    &{{}}    &{{}}    & {~=~}    &{3 x^2 (0.03 x)}    \\
{~\color{magenta}    5    }    &{{}}    &{{}}    & {~=~}    &{0.09 x^3~\rm{m^3}}    \\
\end{array}$

5. So the correct option is (C)


The link below gives a few more solved examples:

Exercise 22.4


In the next section, we will see Maxima and Minima.

Previous

Contents

Next

Copyright©2024 Higher secondary mathematics.blogspot.com

Saturday, October 12, 2024

22.5 - Solved Examples on Tangents And Normals

In the previous section, we saw Tangents and Normals. We saw some solved examples also. In this section, we will see a few more solved examples.

Solved example 22.18
Find the equation of the tangent to the curve
$\rm{y\,=\,\frac{x-7}{(x-2)(x-3)}}$ at the point where it cuts the x-axis.
Solution:
1. The derivative can be used to find the slope of tangent at any point. So we will first find the derivative.


2. We want the point at which the curve cuts the x-axis.
At that point, the y-coordinate will be zero. So in the equation of the curve, we substitute y by zero. We get:
$\rm{0\,=\,\frac{x-7}{(x-2)(x-3)}}$
⇒ x − 7 = 0
⇒ x = 7
• So the required point is: (7,0)

3. Next we want the slope at (7,0). We have:


4. So the equation of the tangent can be written as:
$\rm{y - y_0 ~=~m(x-x_0)}$
⇒ $\rm{y - 0 ~=~\frac{1}{20}(x-7)}$
⇒ 20y = x − 7
⇒ 20y − x + 7 = 0

Fig.22.18

• The graph is shown in fig.22.18 below:
    ♦ The curve is drawn in red color.
    ♦ The tangent is drawn in green color.


• The tangent is drawn at (7,0)
• The slope triangle has a height of 0.2 units and base of 4 units. So the slope of tangent is 0.2/4 = 1/20

Solved example 22.19
Find the equation of the tangent and normal to the curve
$\rm{x^{2/3} \,+\, y^{2/3}\,=\,2}$ at (1,1).
Solution:
1. The derivative can be used to find the slope of tangent at any point. So we will first find the derivative.


 

2. So we can write the slope of the tangent at (1,1):

$\rm{\left. \frac{dy}{dx} \right|_{(1,1)}~=~(-1) \left(\frac{1}{1} \right)^{1/3}~=~-1}$

3. Now we can write the equation of the tangent at (1,1).
y − y0 = m(x − x0)
⇒ y − 1 = (−1)(x − 1)
⇒ y − 1 = −x + 1
⇒ y + x − 2 = 0

4. Slope of the normal is equal to the negative reciprocal of that of the tangent. So slope of the normal is 1.
• Now we can write the equation of the tangent at (1,1).
y − y0 = m(x − x0)
⇒ y − 1 = (1)(x − 1)
⇒ y − 1 = x − 1
⇒ y − x = 0

• The graph is shown in fig.22.19 below:
    ♦ The curve is drawn in red color.
    ♦ The tangent is drawn in green color.

Fig.22.19


• The tangent is drawn at (1,1)
• The slope triangle has a height of −2 units and base of 2 units. So the slope of tangent is −2/2 = −1

Solved example 22.20
Find the equation of the tangent to the curve given by
$\rm{x \,=\, a \sin^3 t,~~y\,=\,b \cos^3 t}$ at  a point where t = π/2.
Solution:
1. The derivative can be used to find the slope of tangent at any point. So we will first find the derivative.


2. Next we want the slope at t = π/2. We have:
$\rm{\frac{dy}{dx}\,=\,\frac{-a \sin t}{b \cos t}}$
$\rm{~=\,\frac{-a \sin (\pi/2)}{b \cos (\pi/2)}}$
$\rm{~=\,\frac{-b \cos (\pi/2)}{a \sin (\pi/2)}}$
$\rm{~=\,\frac{-b (0)}{a (1)}}~=~0$

3. Next we want the (x,y) coordinates at t = π/2
$\rm{x \,=\, a \sin^3 (\pi/2)\,=\,a (1)^3 \,=\,a}$
$\rm{y\,=\,b \cos^3 (\pi/2)\,=\,b(0)^3 = 0}$

4. The slope of the tangent is zero. That means, the tangent is horizontal. So we can write the equation of the tangent just by using the y-coordinate obtained in (4).
• We get: y = 0

5. Fig.22.20 below shows the graph of the given function.
• It is assumed that, a = 3 and b = 4
• So the point (a,0) is (3,0)


Fig.22.20

• We see that:
If we draw the tangent at (3,0), it will be same as the x-axis.
• So the equation of the tangent is: y = 0


The link below gives a few more solved examples:

Exercise 22.3



In the next section, we will see Approximations.

Previous

Contents

Next

Copyright©2024 Higher secondary mathematics.blogspot.com

Thursday, September 26, 2024

22.4 - Tangents And Normals

In the previous section, we completed a discussion on the Derivative test which help us to find whether a given function is increasing or decreasing. In this section, we will see Tangents and Normals.

Some basic details can be written in 9 steps:
1. In analytic geometry classes, we saw that:
Equation of a straight line passing through (x0,y0) is given by
y – y0 = m(x – x0)
    ♦ Here m is the slope of that straight line.
2. So if we know the slope m, we can easily write the equation of the straight line passing through any given point (x0,y0).
3. Now consider a curve given by y = f(x).
• We have seen numerous curves of this type, in the previous sections.
• For example, f(x) = x3 – 3x2 + 3 is a curve.
• If we want to plot that curve on the xy-plane, we can write:
y = x3 – 3x2 + 3
4. Mark some random points on any given curve. Draw tangents through each of those points. We know that, no two tangents will be the same. This is because each tangent will have it’s own slope.
5. Suppose that, we want a tangent at a particular point (x0,y0).
• Based on (1) and (2) above, we can easily draw that tangent if we know the slope of the tangent at (x0,y0)
• But the slope of the tangent at (x0,y0) is f'(x0).
• So the equation of the required tangent is:
y – y0 = f'(x0)(x – x0)
6. Now we can write the equation of the normal also at (x0,y0).
• For that, we make use of the following fact:
Slope of the perpendicular line is the negative reciprocal of the slope of the original line.
• We can write:
Equation of the required normal is:
$\rm{y - y_0 \,=\,\frac{-1}{f'(x_0)} (x - x_0)}$
7. Suppose that, f'(x0) = 0
• Then it means that, the tangent at (x0,y0) is parallel to the x-axis.
• In such a situation, we can straight away write the equation of the tangent at (x0,y0) as: y = y0
8. Suppose that, f'(x0) tends to ∞.
• Then it means that, the tangent at (x0,y0) tends to be parallel to the y-axis.
• In such a situation, we can straight away write the equation of the tangent at (x0,y0) as: x = x0
9. The following information will be very useful while solving some types of problems. It can be written in 2 steps:
(i) If 𝜃 is the angle which a straight line makes with the +ve direction of the x-axis, then slope of that straight line will be equal to tan 𝜃. (We saw this in analytic geometry classes)
(ii) So we can write:
If the tangent at (x0,y0) makes an angle 𝜃 with the +ve direction of the x-axis, then f'(x0) = tan 𝜃.


Now we will see some solved examples:
Solved example 22.14
Find the slope of the tangent to the curve y = x3 − x at x = 2
Solution:
• Slope of the tangent at x = 2 is $\rm{\left. \frac{dy}{dx} \right |_{x = 2}}$
• It can be calculated as shown below:


• The graphs are shown in fig.22.14 below.
    ♦ The curve is drawn in red color.
    ♦ The tangent at x = 2 is drawn in green color.

Fig.22.14

• We see that, slope of the green line is 11.

Solved example 22.15
Find the point at which the tangent to the curve $\rm{y = \sqrt{4x – 3} ~-~1}$ has its slope $\rm{\frac{2}{3}}$.
Solution:
1. The derivative can be used to find the slope of tangent at any point. So we will first find the derivative.


2. The slope must be 2/3. So we can write:


3. Equation of the curve is: $\rm{y = \sqrt{4x – 3} ~-~1}$
• When x = 3, we get:
$\rm{y = \sqrt{4(3) – 3} ~-~1}~=~2$

4. Therefore, we can write:
Mark the point (3,2) on the given curve. Draw the tangent at that point. Slope of that tangent will be 2/3.

• The graph is shown in fig.22.15 below:
    ♦ The curve is drawn in red color.
    ♦ The tangent at (3,2) is drawn in green color.

Fig.22.15

• We see that, slope of the green line is 2/3 = 0.67

Note: In the above graph, we do not see much red curve below the x-axis. The reason can be written in 4 steps:
(i) When x = 3, we can write:
$\rm{y = \sqrt{4(3) – 3} ~-~1}~=~(\pm 3 -1)~=~2~\text{OR}~-4$
So (3, −4) is a possible point on the graph. But it is not plotted.
(ii) Another example:
When x = 7, we can write:
$\rm{y = \sqrt{4(7) – 3} ~-~1}~=~(\pm 5 -1)~=~4~\text{OR}~-6$
So (7, −6) is a possible point on the graph. But it is not plotted.
(iii) We do not plot such points. If we do, then it means that, for inputs like x = 3, 7 etc., there will be two outputs.
• If there are two outputs, we cannot call it a function.
(iv) So we restrict the output values (range).

Solved example 22.16
Find the equation of all lines having slope 2 and being tangent to the curve $\rm{y + \frac{2}{x - 3}~=~0}$.
Solution:
1. The derivative can be used to find the slope of tangent at any point. So we will first find the derivative.


2. The slope must be 2. So we can write:


3. Equation of the curve is: $\rm{y + \frac{2}{x - 3}~=~0}$
• When x = 4, we get:
$\rm{y = \frac{2}{3 - x}~=~\frac{2}{3 - 4}~=~-2}$
• When x = 2, we get:
$\rm{y = \frac{2}{3 - x}~=~\frac{2}{3 - 2}~=~2}$

4. Therefore, we can write:
There are two points (4,−2) and (2,2). Mark those two points on the given curve. Draw the tangent at each of those points. The two tangents will be parallel to each other with a slope of 2.

• The graph is shown in fig.22.16 below:
    ♦ The curve is drawn in red color.
    ♦ The tangents are drawn in green color.

Fig.22.16

• We see that, slope of the green lines is 2

5. Now we want the equation of the two tangents. We can use the general equation:
y – y0 = m(x – x0)
• So the equation of the tangent through (2,2) is:
y – 2 = 2(x – 2)
⇒ y − 2 = 2x − 4
⇒ y − 2x + 2 = 0
• Similarly, the equation of the tangent through (4,−2) is:
y – (−2) = 2(x – 4)
⇒ y + 2 = 2x − 8
⇒ y − 2x + 10 = 0

Solved example 22.17
Find points on the curve $\rm{\frac{x^2}{4}\,+\,\frac{y^2}{25}\,=\,1}$ at which tangents are (i) parallel to x-axis (ii) parallel to y-axis.
Solution:
• The derivative can be used to find the slope of tangent at any point. So we will first find the derivative.


Part (i): Tangents parallel to x-axis
1. Consider the points where tangents are parallel to the x-axis.
• Those tangents will have a slope of zero. So we can write:

2. When x = 0, we get:

3. So the points are: (0,5) and (0,−5)
The tangents at these points are parallel to the x-axis.

• The graph is shown in fig.22.16 below:
    ♦ The curve is drawn in red color.
    ♦ The tangents are drawn in green color.

Fig.22.17

Part (ii): Tangents parallel to y-axis
1. Consider the points where tangents are parallel to the y-axis.
• The normals at those points will have a slope of zero. Slope of normal is the negative reciprocal of that of tangent. So we can write:

2. When y = 0, we get:

3. So the points are: (2,0) and (−2,0)
• The normals at these points are parallel to the x-axis.
• Consequently, the tangents at these points are parallel to the y-axis. They are drawn in magenta color in fig.22.17 above.

In the next section, we will see a few more solved examples.

Previous

Contents

Next

Copyright©2024 Higher secondary mathematics.blogspot.com

Friday, August 30, 2024

22.2 - Derivative Test For Increasing And Decreasing functions

In the previous section, we saw definition 1 and definition 2, which help us to find the nature of a function at any given point. In this section, we will see how derivatives can be applied to find the nature.

To apply derivatives, we need to learn theorem 1. We will first see the theorem. Then we will write an explanation and after that, we will write the proof.

Theorem 1
Let f be continuous in [a,b] and differentiable in (a,b). Then
(a) f is strictly increasing in [a,b] if f'(x) > 0 for each x ∈ (a,b)
(b) f is increasing in [a,b] if f'(x) ≥ 0 for each x ∈ (a,b)
(c) f is strictly decreasing in [a,b] if f'(x) < 0 for each x ∈ (a,b)
(d) f is decreasing in [a,b] if f'(x) ≤ 0 for each x ∈ (a,b)
(e) f is constant in [a,b] if f'(x) = 0 for each x ∈ (a,b)

Explanation can be written in 2 steps:
1. We want to know the nature of the function in the interval [a,b]
2. There are infinite number of points in the interval (a,b).
(a) If the derivative f'(x) is greater than zero at all those points, then we say that:
f is strictly increasing in [a,b].

(b) If the derivative f'(x) is greater than or equal to zero at all those points, then we say that:
f is increasing in [a,b].

(c) If the derivative f'(x) is lesser than zero at all those points, then we say that:
f is strictly decreasing in [a,b] 

(d) If the derivative f'(x) is lesser than or equal to zero at all those points, then we say that:
f is decreasing in [a,b]

(e) If the derivative f'(x) is zero at all those points, then we say that:
f is constant in [a,b]

Proof for (a) can be written in 4 steps:
1. Let x1 and x2 be any two points in the interval [a,b], such that x1 < x2.
2. Given that:
   ♦ f is a real valued function
   ♦ f is continuous in [a,b]
   ♦ f is differentiable in (a,b)
• Then the three conditions are satisfied. We can apply Mean Value Theorem between the two points x1 and x2.

3. There exists a point c between x1 and x2 in such a way that:
Derivative at c is equal to the slope of the secant between x1 and x2.
• So we get:
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{f'(c)}    & {~=~}    &{\frac{f(x_2) \,-\, f(x_1)}{x_2 \,-\, x_1}}    \\
{~\color{magenta}    2    }    &{\implies}    &{f(x_2) \,-\, f(x_1)}    & {~=~}    &{f'(c) (x_2 \,-\, x_1)}    \\
{~\color{magenta}    3    }    &{\implies}    &{f(x_2) \,-\, f(x_1)}    & {~>~}    &{0}    \\
{~\color{magenta}    4    }    &{\implies}    &{f(x_2)}    & {~>~}    &{f(x_1)}    \\
\end{array}$

◼ Remarks:
2 (magenta color):
• In part (a) of the theorem, it is given that, f'(x) > 0 for all points within (a,b). So f'(c) will be greater than zero.
• Also, we choose x1 and x2 in such a way that x2 > x1. So (x2 − x1) will be greater than zero.
• Therefore, f'(c) (x2 − x1) will be greater than zero.

4. From the above step, we see that:
If x1 < x2, then f(x1) < f(x2) and so, the given function is a strictly increasing function.   

Proof for (b) can be written in 4 steps:
1. Let x1 and x2 be any two points in the interval [a,b], such that x1 < x2.
2. Given that:
   ♦ f is a real valued function
   ♦ f is continuous in [a,b]
   ♦ f is differentiable in (a,b)
• Then the three conditions are satisfied. We can apply Mean Value Theorem between the two points x1 and x2.

3. There exists a point c between x1 and x2 in such a way that:
Derivative at c is equal to the slope of the secant between x1 and x2.
• So we get:
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{f'(c)}    & {~=~}    &{\frac{f(x_2) \,-\, f(x_1)}{x_2 \,-\, x_1}}    \\
{~\color{magenta}    2    }    &{\implies}    &{f(x_2) \,-\, f(x_1)}    & {~=~}    &{f'(c) (x_2 \,-\, x_1)}    \\
{~\color{magenta}    3    }    &{\implies}    &{f(x_2) \,-\, f(x_1)}    & {~\ge~}    &{0}    \\
{~\color{magenta}    4    }    &{\implies}    &{f(x_2)}    & {~\ge~}    &{f(x_1)}    \\
\end{array}$

◼ Remarks:
2 (magenta color):
• In part (b) of the theorem, it is given that, f'(x) ≥ 0 for all points within (a,b). So f'(c) will be greater than or equal to zero.
• Also, we choose x1 and x2 in such a way that x2 > x1. So (x2 − x1) will be greater than zero.
• Therefore, f'(c) (x2 − x1) will be greater than or equal to zero.

4. From the above step, we see that:
If x1 < x2, then f(x1) ≤ f(x2) and so, the given function is an increasing function.

Proof for (c) can be written in 4 steps:
1. Let x1 and x2 be any two points in the interval [a,b], such that x1 < x2.
2. Given that:
   ♦ f is a real valued function
   ♦ f is continuous in [a,b]
   ♦ f is differentiable in (a,b)
• Then the three conditions are satisfied. We can apply Mean Value Theorem between the two points x1 and x2.

3. There exists a point c between x1 and x2 in such a way that:
Derivative at c is equal to the slope of the secant between x1 and x2.
• So we get:
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{f'(c)}    & {~=~}    &{\frac{f(x_2) \,-\, f(x_1)}{x_2 \,-\, x_1}}    \\
{~\color{magenta}    2    }    &{\implies}    &{f(x_2) \,-\, f(x_1)}    & {~=~}    &{f'(c) (x_2 \,-\, x_1)}    \\
{~\color{magenta}    3    }    &{\implies}    &{f(x_2) \,-\, f(x_1)}    & {~<~}    &{0}    \\
{~\color{magenta}    4    }    &{\implies}    &{f(x_2)}    & {~<~}    &{f(x_1)}    \\
\end{array}$

◼ Remarks:
2 (magenta color):
• In part (c) of the theorem, it is given that, f'(x) < 0 for all points within (a,b). So f'(c) will be less than zero.
• Also, we choose x1 and x2 in such a way that x2 > x1. So (x2 − x1) will be greater than zero.
• Therefore, f'(c) (x2 − x1) will be less than zero.

4. From the above step, we see that:
If x1 < x2, then f(x1) > f(x2) and so, the given function is a strictly decreasing function.

• Proofs for parts (d) and (e) can be written in a similar way.


Now we will see some solved examples:

Solved example 22.8
Show that the function given by
f(x) = x3 − 3x2 + 4x, x ∈ R is strictly increasing on R.
Solution:
1. f'(x) = 3x2 −6x + 4
2. This can be written as:
f'(x) = 3(x2 −2x + 1) + 1
= 3(x −1)2 + 1
3. There is a square term and a +ve term. So f'(x) will be always greater than zero.
• We can try input x from any interval (a,b) in R. The value of f'(x) will be never less than zero.
• Also, since there is a "+ 1" term, f'(x) can never become equal to zero.
Therefore, f is a strictly increasing function.

4. Fig.22.45 below shows the graph of f(x) in red color and f'(x) in yellow color.

Fig.22.4

From the yellow curve we see that, no f'(x) value is zero or less than zero.

In the next section, we will see a few more solved examples.

Previous

Contents

Next

Copyright©2024 Higher secondary mathematics.blogspot.com

Thursday, August 29, 2024

Chapter 22.1 - Increasing And Decreasing Functions

In the previous section, we saw how derivatives can be used to find rate of change of quantities. In this section, we will see increasing and decreasing functions.

Some basic details can be written in 4 steps:
1. Consider the graph of the function f(x) = x2. It is shown in fig.22.3 below:

Fig.22.3

2. We see a vertical yellow line. This line helps us to understand the concept of height of graph.
• We see that, the vertical yellow line is drawn through x0.
   ♦ The lower end of the line is on the x-axis.
   ♦ The upper end of the line lies on the curve.
• So height of the vertical yellow line is f(x0).
• In such a situation, we say that:
Height of the graph at x0 is f(x0).

• It may be noted that, we do not consider the actual height of the yellow line. We consider the value of f(x0).

• Consider two cases:
   ♦ Case I: f(x0) = −8 
   ♦ Case II: f(x0) = −3
• Height of the yellow line will be larger in case I. But the value of f(x0) is larger in case II.
3. Now consider the portion of the x-axis from O to X'.
• In this portion, if we move along the x-axis from left to right, we will be passing through points like −3, −2, −1.5, −1, −0.5, −0.25, and finally 0.
• We can find the corresponding f(x) values. They are tabulated in the table 22.1(a) below:

Table 22.1(a)

• The second column of this table, gives the corresponding heights. We see that:
As we move from left to right, the height of the graph decreases.
• In this situation, we write:
The function is decreasing for x < 0

4. Similarly, consider the portion of the x-axis from O to X.
• In this portion, if we move along the x-axis from left to right, we will be passing through points like 0, 0.25, 0.5, 1, 1.5, 2, 3, . . .
• We can find the corresponding f(x) values. They are tabulated in the table 22.1(b) above.
• The second column of this table, gives the corresponding heights. We see that:
As we move from left to right, the height of the graph increases.
• In this situation, we write:
The function is increasing for x > 0


Based on the above discussion, we can write a definition of increasing and decreasing functions.

Definition 1:

Let I be an open interval contained in the domain of a real valued function f. Then f is said to be
(i) Increasing on I if x1 < x2 in I ⇒ f(x1) ≤ f(x2) for all x1, x2 ∈ I.
(ii) Strictly increasing on I if x1 < x2 in I ⇒ f(x1) < f(x2) for all x1, x2 ∈ I.
(iii) Decreasing on I if x1 < x2 in I ⇒ f(x1) ≥ f(x2) for all x1, x2 ∈ I.
(iv) Strictly decreasing on I if x1 < x2 in I ⇒ f(x1) > f(x2) for all x1, x2 ∈ I.


Now we will write a detailed explanation of the definition. The explanation can be written by using the function f(x) = x2 as an example. It can be written in 6 steps:

1. In the definition, there is a mention about domain of a real valued function.
• In fig.22.1 above, f(x) = x2 is a real valued function. It's domain is R. So all points in the x-axis, are included in the domain.
2. In the definition, there is a mention about an open interval I.
• 'Open interval' means, the end points should not be used as input values.
• In our discussion based on fig.22.1 above, we used two open intervals:
   ♦ (−∞,0) related to the portion OX' of the x-axis.
   ♦ (0,∞) related to the portion OX of the x-axis.
• Both of the above intervals are contained in R.

3. Now consider the open interval (−∞,0).
• Take any two points x1 and x2 such that, x1 < x2.
Let us take x1 = −3 and x2 = −0.25
• So we get:
   ♦ f(x1) = f(−3) = (−3)2 = 9  
   ♦ f(x2) = f(−0.25) = (−0.25)2 = 0.0625
• We can write: f(x1) > f(x2)
• So item (iv) of the definition is applicable here. We can write:
On the open interval I = (−∞,0), the function f(x) = x2 is strictly decreasing.
• The general graphical representation of a strictly decreasing function is shown in fig.22.4(d) below:

Fig.22.4

• Note that x1, that we select as the first point, should be always less than x2, that we select as the second point. This condition will ensure that, we always move from left to right along the x-axis. 

4. Similarly consider the open interval (0,∞).
• Take any two points x1 and x2 such that, x1 < x2.
Let us take x1 = 0.5 and x2 = 3
• So we get:
   ♦ f(x1) = f(0.5) = (0.5)2 = 0.25 
   ♦ f(x2) = f(3) = (3)2 = 9
• We can write: f(x1) < f(x2)
• So item (ii) of the definition is applicable here. We can write:
On the open interval I = (0,∞), the function f(x) = x2 is strictly increasing.
• The general graphical representation of a strictly increasing function is shown in fig.22.4(b) above.
• Note that x1, that we select as the first point, should be always less than x2, that we select as the second point. This condition will ensure that, we always move from left to right along the x-axis.

5. Once we understand strictly decreasing function, we will be able to write about decreasing function. Item (iii) of the definition is applicable here. The only difference between the two can be written as:
   ♦ For strictly decreasing, we have f(x1) > f(x2)
   ♦ For decreasing, we have f(x1) ≥ f(x2)
• That means, for some x1 and x2 values, the corresponding f(x) values may be equal. Such x values will give a horizontal segment to the graph.
• The general graphical representation of a decreasing function is shown in fig.22.4(c) above.

6. Similarly, once we understand strictly increasing function, we will be able to write about increasing function. Item (i) of the definition is applicable here. The only difference between the two can be written as:
   ♦ For strictly increasing, we have f(x1) < f(x2)
   ♦ For increasing, we have f(x1) ≤ f(x2)
• That means, for some x1 and x2 values, the corresponding f(x) values may be equal. Such x values will give a horizontal segment to the graph.
• The general graphical representation of a increasing function is shown in fig.22.4(a) above.


Now we will see a solved example.
Solved example 22.7
Show that the function f(x) = 7x − 3 is strictly increasing on R.
Solution:
1. In the discussion above, we considered an interval I inside the domain. In this problem, the interval is same as the domain, which is R.
2. Take any two points x1 and x2 from R. x1 must be less than x2.
• Let us take x1 = −3 and x2 = 5
3. So we get:
   ♦ f(x1) = 7(−3) − 3 = −24
   ♦ f(x2) = 7(5) − 3 = 32
4. We see that, f(x1) < f(x2).
So based on definition 1, we get a hint that, the given f(x) is strictly increasing. However, to prove it beyond doubt, we must write the proof for the general case. It can be done in 3 steps:

1. Take any two points x1 and x2 from R such that, x1 < x2.
2. Since x1 < x2, we get: 7(x1) − 3 < 7(x2) − 3
3. Since, 7(x1) − 3 < 7(x2) − 3, we can write: f(x1) < f(x2)
• So based on definition 1, we can write: f is a strictly decreasing function.


• The definition 1 that we saw above, will help us to find the nature of a function within an interval I.
• The next definition 2 that we are going to see, will help us to find the nature of a function at a point.

We will write the definition first and then see the explanation.
Definition 2:
Let x0 be a point in the domain of a real valued function f. Then f is said to be increasing, strictly increasing, decreasing or strictly decreasing at x0 if there exist an open interval I containing x0 such that f is increasing, strictly increasing, decreasing or strictly decreasing, respectively in I.
The explanation can be written in 3 steps:
1. We are given a real valued function f.
2. x0 is any point in the domain of f.
We want to know the nature of f at the point x0.
3. For that, we consider an open interval:
I = (x0 − h, x0 + h), where h > 0.
• If I exists such that, f is increasing on I, then we say that f is increasing at x0.
• If I exists such that, f is strictly increasing on I, then we say that f is strictly increasing at x0.
• If I exists such that, f is decreasing on I, then we say that f is decreasing at x0.
• If I exists such that, f is strictly decreasing on I, then we say that f is strictly decreasing at x0.


In the next section, we will see how to apply derivatives to find the nature.

Previous

Contents

Next

Copyright©2024 Higher secondary mathematics.blogspot.com

Thursday, August 22, 2024

Chapter 22 - Application of Derivatives

In the previous section, we completed a discussion on continuity and differentiability. We saw how to find the derivatives of various functions.

Derivatives have many applications in science, engineering, economics etc., In this chapter, we will see some of those applications.


First we will see how derivatives help us to find the rate of change of quantities. Let us see an example. It can be written in 6 steps:
1. An object is moving in a straight line.
• It started with an initial velocity zero. That is, it started from rest.
• But it has a constant acceleration 'a'.
• A stop-watch is turned on at the instant when the object starts it's motion.
2. In such a situation, the distance traveled by the object when the stop-watch reading is 't', can be obtained using the formula: $\rm{s \,=\, \frac{1}{2} a t^2   }$
3. Using this formula, we can plot a graph with t along the x-axis and s along the y-axis. If the acceleration 'a' is $\rm{3 ~ m s^{-2}}$, the graph will be as shown in fig.22.1 below:

Fig.22.1


4. Since the object is moving with a constant acceleration 'a', the velocity will be changing continuously. That is, velocity is not uniform.
5. We can find the velocity at any instant by using the derivative $\rm{\frac{ds}{dt}}$ (recall that velocity is the rate of change of distance).
• In our present case, $\rm{s \,=\, f(t)\,=\,\frac{1}{2}. 3. t^2 \,=\, 1.5 t^2}$
• So $\rm{f'(t) \,=\, \frac{ds}{dt} \,=\, \frac{d}{dt} \left(1.5 t^2 \right) \,=\, 1.5 \times 2t = 3t}$
6. Let us see an example:
The velocity when the stop-watch reading is 0.3 s, is (3 × 0.3) = 0.9 $\rm{m s^{-1}}$
• From the graph, we see that:
Rate of change (velocity in this case) is same as slope of the tangent.


Let us see some solved examples:

Solved example 22.1
If the radius of a circle is changing, what is the rate of change of the area of that circle, w.r.t radius?
Solution:
1. The area of circle is given by the equation: $\rm{A~=~\pi r^2}$
• Where 'A' is the area and 'r' is the radius.
• So it is clear that, if the radius changes, the area will also change.
2. Using the above equation, we can draw a graph which shows the variation of area. It is given in fig.22.2 below:

Fig.22.2


3. We see that, the graph is a curve. That means, the rate of change of area is not uniform. If the rate of change was uniform, we would have obtained a straight line graph.
• Due to the non-uniform nature, we can find only the instantaneous rate of change $\rm{\frac{dA}{dr}}$
• So $\rm{f'(r) \,=\, \frac{dA}{dr} \,=\, \frac{d}{dr} \left(\pi r^2 \right) \,=\, \pi \times 2r = 2 \pi r}$

4. Let us see an example:
The rate of change of area when the radius is 0.2 m is:
(2 × π × 0.2) = 1.26 $\rm{m^2 m^{-1}}$
• That means, for every one meter change of radius, the area changes by 1.26 m2.
• From the graph, we see that:
Rate of change of area is same as slope of the tangent at (r=0.2).


• The instantaneous rate of change of y w.r.t x, at a particular point x0, is denoted as: $\rm{\left. \frac{dy}{dx} \right|_{x =x_0}}$

• It can be also denoted as $\rm{f'(x_0)}$

• So in the above example, we can write:
$\rm{\left. \frac{dA}{dr} \right|_{r = 0.2}~=~1.26 ~ m^2 m^{-1}}$


Solved example 22.2
The radius of a circle is increasing at the rate of 4 cm s−1. what is the rate of change of the area of that circle, w.r.t time, at the instant when the radius is 10 cm?
Solution:
1. The area of circle is given by the equation: $\rm{A~=~\pi r^2}$
• Where 'A' is the area and 'r' is the radius.
• So it is clear that, if the radius changes, the area will also change.
2. The radius is increasing continuously. So the area will also increase continuously.
• In the previous example, we saw that, the instantaneous rate of change of area w.r.t radius is $\rm{\frac{dA}{dr}}$.
• In this example, we are asked to find the instantaneous rate of change of area w.r.t time, which  is $\rm{\frac{dA}{dt}}$. 
3. So we need to bring 't' also into the calculations.
• The rate of increase of radius is given as 4 cm s−1. We can write:
   ♦ When t = 0, r = 0
   ♦ When t = 1, r = 4 cm
   ♦ When t = 2, r = 8 cm
   ♦ When t = 3, r = 12 cm
so on . . .
• That means, at any time t, the radius will be 4t.

4. Now we can modify the equation for area:
$\rm{A~=~\pi r^2 ~=~ \pi (4t)^2}$
• This gives: $\rm{\frac{dA}{dt} ~=~16 \pi \times 2t ~=~32 \pi t}$
• Using this result, we can calculate the rate of increase of area w.r.t time, at any instant.

5. We are asked to calculate the rate of increase of area w.r.t time, at the instant when radius is 10 cm.
• So we first need to find that instant.
   ♦ We have: r = 4t = 10 cm.
   ♦ So t = 10/4 = 2.5 s
• That means, the radius will be 10 cm when t = 2.5 s.
• Substituting this t in (4), we get:
$\rm{\frac{dA}{dt} ~=~32 \pi t = 32 \times \pi \times 2.5 ~=~80 \pi ~cm^2 s^{-1}}$ 
• That is., $\rm{\left. \frac{dA}{dt} \right|_{r = 10}~=~80 \pi ~ cm^2 s^{-1}}$
• We can say that:
At the instant when radius is 10 cm, the area is increasing at the rate of $\rm{80 \pi ~ cm^2}$ per second.
At any other instant, the rate will be different. 

Solved example 22.3
The volume of a cube is increasing at the rate of 9 cm3 s−1. what is the rate of change of the surface area of that cube, w.r.t time, at the instant when the length of an edge is 10 cm?
Solution:
1. Let V be the volume, S the surface area and l the length of edge.
• We can easily calculate $\rm{\frac{dS}{dl}}$ because, S = 6l2.
• But we are asked to find $\rm{\frac{dS}{dt}}$ 

2. So we need to bring 't' also into the calculations.
• The rate of increase of volume is given as 9 cm3 s−1. We can write:
   ♦ When t = 0, V = 0 cm3.
   ♦ When t = 1, V = 9 cm3.
   ♦ When t = 2, V = 18 cm3.
   ♦ When t = 3, V = 27 cm3.
so on . . .
• That means, at any time t, the volume will be 9t.
• That means, at any time t, the length of an edge l can be obtained using the equation: $\rm{l~=~(V)^{\frac{1}{3}}~=~(9t)^{\frac{1}{3}}}$.

3. So at any time t, the surface area S can be obtained using the equation:
$\rm{S ~=~6 \times l^2~=~6 \left[(9t)^{\frac{1}{3}} \right]^2~=~6 \left[9^{\frac{2}{3}} t^{\frac{2}{3}} \right] }$

4. Then the rate of change of S w.r.t to time can be obtained using the equation:
$\rm{\frac{dS}{dt}\,=\,6 \times 9^{\frac{2}{3}} \times \frac{2}{3} \times t^{\frac{-1}{3}}}$

• Using this result, we can calculate the rate of increase of surface area w.r.t time, at any instant.

5. We are asked to calculate the rate of increase of surface area w.r.t time, at the instant when length of edge is 10 cm.
• So we first need to find that instant.
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{l}    & {~=~}    &{(9t)^{\frac{1}{3}}}    \\
{~\color{magenta}    2    }    &{\implies}    &{10}    & {~=~}    &{(9t)^{\frac{1}{3}}}    \\
{~\color{magenta}    3    }    &{\implies}    &{10^3}    & {~=~}    &{9t}    \\
{~\color{magenta}    4    }    &{\implies}    &{t}    & {~=~}    &{\frac{1000}{9}}    \\
\end{array}$                           
• That means, the length of edge will be 10 cm when t = 1000/9 s.
• Substituting this t in (4), we get:

$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\frac{dS}{dt}}    & {~=~}    &{6 \times 9^{\frac{2}{3}} \times \frac{2}{3} \times t^{\frac{-1}{3}}}    \\
{~\color{magenta}    2    }    &{{}}    &{{}}    & {~=~}    &{6 \times 9^{\frac{2}{3}} \times \frac{2}{3} \times \left({\frac{1000}{9}} \right)^{\frac{-1}{3}}}    \\
{~\color{magenta}    3    }    &{{}}    &{{}}    & {~=~}    &{2 \times 9^{\frac{2}{3}} \times 2 \times \left({\frac{9}{1000}} \right)^{\frac{1}{3}}}    \\
{~\color{magenta}    4    }    &{{}}    &{{}}    & {~=~}    &{2 \times 9 \times 2 \times \left({\frac{1}{10}} \right)}    \\
{~\color{magenta}    5    }    &{{}}    &{{}}    & {~=~}    &{\frac{36}{10}}    \\
{~\color{magenta}    6    }    &{{}}    &{{}}    & {~=~}    &{3.6~ \rm{cm^2 \,s^{-1}}}    \\
\end{array}$

• That is., $\rm{\left. \frac{dS}{dt} \right|_{l = 10}~=~3.6 ~ cm^2 s^{-1}}$

• We can say that:
At the instant when length of edge is 10 cm, the surface area is increasing at the rate of $\rm{3.6 ~ cm^2}$ per second.
At any other instant, the rate will be different.  

Solved example 22.4
The length x of a rectangle is decreasing at the rate of 3 cm / minute and width y is increasing at the rate of 2 cm / minute. When x = 10 cm and y = 6 cm, find the rates of changes of (a) the perimeter and (b) area of the rectangle.
Solution:
Part (a):
1. Suppose that, the initial length is x0.
• Given that, x is decreasing at the rate of 3 cm / minute. So we can write:
   ♦ When t = 1, x = x0 − (3  × 1)
   ♦ When t = 2, x = x0 − (3  × 2)
   ♦ When t = 3, x = x0 − (3  × 3)
so on . . .
• Thus, the length at any time 't' is given by:
x = x0 − (3  × t)

2. Suppose that, the initial width is y0.
• Given that, y is increasing at the rate of 2 cm / minute. So we can write:
   ♦ When t = 1, y = y0 + (2  × 1)
   ♦ When t = 2, y = y0 + (2  × 2)
   ♦ When t = 3, y = y0 + (2  × 3)
so on . . .
• Thus, the width at any time 't' is given by:
y = y0 + (2  × t)

3. Perimeter at any time 't' will be given by:
P= 2[x+y] = 2[(x0 − 3t) + (y0 + 2t)] = 2[x0 + y0 − t] = 2(x0 + y0)− 2t

4. Rate of change of perimeter w.r.t time, at any instant, will be given by:
$\rm{\frac{dP}{dt}\,=\, \frac{d}{dt} \left[2(x_0 + y_0) - 2t \right]\,=\,-2}$
• We see that, the rate is a constant. That means, the rate is independent of x, y or t.
• We are asked to find the rate when x = 10 cm and y = 6 cm. At this length and breadth also, the rate will be −2 cm/minute.

• We can say that:
At the instant when x = 10 cm and y = 6 cm, the perimeter is decreasing at the rate of $\rm{2 ~ cm}$ per minute.
At any other instant, the rate will be same.  

Part (b):
1. Area at any time 't' will be given by:
$\rm{A\,=\, xy \,=\,(x_0 - 3t)(y_0 + 2t)\,=\,(x_0 y_0 + 2 x_0 t - 3 y_0 t - 6 t^2)}$
⇒ $\rm{A\,=\,x_0 y_0 + (2 x_0  - 3 y_0) t - 6 t^2}$

2. Rate of change of area w.r.t time, at any instant, will be given by:
$\rm{\frac{dA}{dt}\,=\, \frac{d}{dt} \left[x_0 y_0 + (2 x_0  - 3 y_0) t - 6 t^2 \right]\,=\,2 x_0  - 3 y_0 - 12 t}$

3. We are asked to find the dA/dt at the instant when x = 10 cm and y = 6 cm.
• So we first need to find the instant at which x becomes 10 cm and y becomes 6 cm.
• We can write:
(i) 10 = x0 − 3t
(ii) 6 = y0 + 2t
• The two equations can be rearranged as shown below:
(iii) → [(i) × 2] → 20 = 2x0 − 6t 
(iv) → [(ii) × 3] → 18 = 3y0 + 6t
(v) → [(iii) − (iv)] → 2 = 2x0 − 3y0 − 12t    
⇒ 2x0 − 3y0 = 2 + 12t

4. Substituting the above result in (2), we get:
$\rm{\frac{dA}{dt}\,=\,2 + 12t - 12 t \,=\,2}$

• We can say that:
At the instant when x = 10 cm and y = 6 cm, the area is increasing at the rate of $\rm{2 ~ cm^2}$ per minute.
At any other instant, the rate will be different.

Solved example 22.5
The total cost C(x) in Rupees, associated with the production of x units of an item is given by:
C(x) = 0.005 x3 − 0.02x2 + 30x + 5000
Find the marginal cost when 3 units are produced. Marginal cost is the instantaneous rate of change of total cost at any level of output.
Solution:
Let us write some basic details about marginal cost. It can be written in 4 steps:
1. Consider the production of an item. By 'item', we mean products like LED bulb, bicycle, microwave oven etc.,

2. Take any one particular item. To produce 'x' no. of that item, the factory has to spend a certain amount of money.
• This amount (in Rupees) is given by:
C(x) = 0.005 x3 − 0.02x2 + 30x + 5000

3. We see that, there are four terms. Why is there four terms?
• One term may be related to the cost of raw materials required for production.
• Another term may be related to the wages of workers involved in the production.
For example, if Rupees 30/- is the labor charge for one number, then 30x has to be spend for the production of x numbers. So this term is related to the labor department.
• Another term may be related to the cost of electricity, water supply etc.,

4. However, we need not worry about what each term represent. We are asked to find the marginal cost.
• Marginal cost is the instantaneous rate of change of cost w.r.t number of items produced.
• So marginal cost is $\rm{\frac{dC}{dx}}$.
• In the numerator, we have change of cost. In the denominator, we have change in number. But we need not calculate numerator and denominator separately. We know how to calculate $\rm{\frac{dC}{dx}}$ directly.


Now we can do the calculations:
• We have:
$\rm{\frac{dC}{dx}\,=\,\frac{d}{dx} \left[0.005 x^3 - 0.02 x^2 + 30 x + 5000 \right] \,=\, 0.015 x^2 - 0.04 x + 30}$
• So when 3 units are produced, we get:
$\rm{\left. \frac{dC}{dx} \right|_{x = 3}\,=\,0.015 (3)^2 - 0.04 (3) + 30 \,=\,0.135 - 0.12 + 30 = \text{Rs} \, 30.015 \, \text{per number}}$

• We can say that:
At the instant when number of items produced is 3, the marginal cost is Rs 30.015.
At any other instant, the marginal cost will be different.   

Solved example 22.6
The total revenue R(x) in Rupees, received from the sale of x units of a product is given by:
R(x) = 3 x2 + 36x + 5
Find the marginal revenue when 5 units are sold. Marginal revenue is the instantaneous rate of change of total revenue at any level of sale.
Solution:
Let us write some basic details about marginal revenue. It can be written in steps:
1. Consider the sale of a product. By 'product', we mean products like LED bulb, bicycle, microwave oven etc.,

2. Take any one particular product. When 'x' no. of that product is sold, the factory gets a certain amount of money.
• This amount (in Rupees) is given by:
R(x) = 3 x2 + 36x + 5

3. We see that, there are three terms. Why is there three terms?
• One term may be the actual amount received from the customer.
• Another term may be related to the amount received as commission.

4. However, we need not worry about what each term represent. We are asked to find the marginal revenue.
• Marginal revenue is the instantaneous rate of change of revenue w.r.t number of items sold.
• So marginal revenue is $\rm{\frac{dR}{dx}}$.
• In the numerator, we have change of revenue. In the denominator, we have change in number. But we need not calculate numerator and denominator separately. We know how to calculate $\rm{\frac{dR}{dx}}$ directly.


Now we can do the calculations:
• We have:
$\rm{\frac{dR}{dx}\,=\,\frac{d}{dx} \left[3 x^2 + 36 x + 5 \right] \,=\, 6 x + 36}$
• So when 5 units are sold, we get:
$\rm{\left. \frac{dR}{dx} \right|_{x = 5}\,=\,6(5) + 36 \,=\, = \text{Rs} \, 66 \, \text{per number}}$

• We can say that:
At the instant when number of items sold is 5, the marginal revenue is Rs 66.
At any other instant, the marginal revenue will be different.   

The link below gives a few more solved examples:

Exercise 22.1



In the next section, we will see increasing and decreasing functions.

Previous

Contents

Next

Copyright©2024 Higher secondary mathematics.blogspot.com

Sunday, August 11, 2024

21.22 - More Miscellaneous Examples

In the previous section, we saw some miscellaneous examples. In this section, we will see a few more examples.

Solved example 21.68
Find f'(x) if f(x) = $\rm{(\sin x)^{\sin x}}$ for all 0<x<π.
Solution:


 

Solved example 21.69
For a positive constant a, find $\rm{\frac{dy}{dx}}$ where:
$\rm{y = a^{t + 1/t}~\text{and}~x = \left(t + 1/t \right)^a}$
Solution:
1. First we will find dy/dt:


2. Next we will find dx/dt


3. Now we can find dy/dx

 

Solved example 21.70
Differentiate $\rm{\sin^2 x~\text{w.r.t}~e^{\cos x}}$.
Solution:
1. Let $\rm{y = \sin^2 x~\text{and}~x = e^{\cos x}}$
2. We want the derivative of
$\rm{\sin^2 x~\text{w.r.t}~e^{\cos x}}$
• That is., we want the derivative of
$\rm{\sin^2 x~\text{w.r.t}~u}$
• That is., we want the derivative of
$\rm{y~\text{w.r.t}~u}$
• That is., we want $\rm{\frac{dy}{du}}$
3. First we will find dy/dx:
$\rm{y = \sin^2 x}$
So we have:$\rm{\frac{dy}{dx}~=~2 \sin x \cos x}$

4. Next we will find du/dx:


 

5. Now we can find dy/du:



The link below gives a few more miscellaneous examples:

Miscellaneous Exercise



In the next chapter, we will see application of derivatives.

Previous

Contents


Next

Copyright©2024 Higher secondary mathematics.blogspot.com

Saturday, August 10, 2024

21.21 Miscellaneous Examples

In the previous section, we completed a discussion on Rolle's theorem and mean value theorem. In this section, we will see some miscellaneous examples.

Solved example 21.66
Differentiate w.r.t x the following functions:
(i) $\rm{\sqrt{3x+2}~+~\frac{1}{\sqrt{2x^2 + 4}}}$
(ii) $\rm{e^{\sec^2 x}~+~3 \cos^{-1} x}$
(iii) $\rm{\log_7 (\log x)}$
Solution:
Part (i):
$\begin{array}{ll} {~\color{magenta} 1 } &{{}} &{y} & {~=~} &{\sqrt{3x+2}~+~\frac{1}{\sqrt{2x^2 + 4}}} \\
{~\color{magenta} 2 } &{{}} &{{}} & {~=~} &{\left(3x+2 \right)^{1/2} ~+~\left(2x^2 + 4 \right)^{-1/2}} \\
{~\color{magenta} 3 } &{\implies} &{\frac{dy}{dx}} & {~=~} &{1/2 \left(3x+2 \right)^{-1/2}.3 ~+~(-1/2)\left(2x^2 + 4 \right)^{-3/2}.4x} \\
{~\color{magenta} 4 } &{{}} &{{}} & {~=~} &{\frac{3}{2 \sqrt{3x+2}}~-~\frac{2x}{\left(\sqrt{2x^2 + 4} \right)^3}} \\
\end{array}$

Part (ii):
1. First we will split the given function
$\begin{array}{ll} {~\color{magenta} 1 } &{{}} &{y} & {~=~} &{e^{\sec^2 x}~+~3 \cos^{-1} x} \\
{~\color{magenta} 2 } &{{}} &{{}} & {~=~} &{u+v} \\
{~\color{magenta} 3 } &{\implies} &{\frac{dy}{dx}} & {~=~} &{\frac{du}{dx}~+~\frac{dv}{dx}} \\
\end{array}$

2. Now we will find $\rm{\frac{du}{dx}}$:
$\begin{array}{ll} {~\color{magenta} 1 } &{{}} &{u} & {~=~} &{e^{\sec^2 x}} \\
{~\color{magenta} 2 } &{\implies} &{\log u} & {~=~} &{\sec^2 x.\log_e e} \\
{~\color{magenta} 3 } &{\implies} &{\log u} & {~=~} &{\sec^2 x} \\
{~\color{magenta} 4 } &{\implies} &{\frac{d}{dx} \left[\log u \right]} & {~=~} &{\frac{d}{dx} \left[\sec^2 x \right]} \\
{~\color{magenta} 5 } &{\implies} &{\frac{1}{u}.\frac{du}{dx}} & {~=~} &{2 \sec x . \sec x \tan x} \\
{~\color{magenta} 6 } &{\implies} &{\frac{du}{dx}} & {~=~} &{u. 2 \sec x . \sec x \tan x} \\
{~\color{magenta} 7 } &{{}} &{{}} & {~=~} &{2 e^{\sec^2 x} \sec^2 x \tan x} \\
\end{array}$

3. Now we will find $\rm{\frac{dv}{dx}}$:
$\begin{array}{ll} {~\color{magenta} 1 } &{{}} &{v} & {~=~} &{3 \cos^{-1} x} \\
{~\color{magenta} 2 } &{\implies} &{\frac{dv}{dx}} & {~=~} &{3 \frac{d}{dx} \left[\cos^{-1} x \right]} \\
{~\color{magenta} 3 } &{{}} &{{}} & {~=~} &{3. \frac{(-1)}{\sqrt{1 – x^2}}} \\
{~\color{magenta} 4 } &{{}} &{{}} & {~=~} &{\frac{-3}{\sqrt{1 – x^2}}} \\
\end{array}$

4. So based on (1), we get:
$\rm{\frac{dy}{dx}~=~\frac{du}{dx}~+~\frac{dv}{dx}}$

= $\rm{2 e^{\sec^2 x} \sec^2 x \tan x~-~\frac{3}{\sqrt{1 – x^2}}}$

Part (iii):
$\begin{array}{ll} {~\color{magenta} 1 } &{{}} &{y} & {~=~} &{\log_7 (\log x)} \\
{~\color{magenta} 2 } &{{}} &{{}} & {~=~} &{\frac{\log_e (\log x)}{\log_e 7}} \\
{~\color{magenta} 3 } &{\implies} &{\frac{dy}{dx}} & {~=~} &{\frac{1}{\log_e 7} \frac{d}{dx} \left[\log_e (\log x) \right]} \\
{~\color{magenta} 4 } &{{}} &{{}} & {~=~} &{\frac{1}{\log_e 7} .\frac{1}{\log x}.\frac{1}{x}} \\
{~\color{magenta} 5 } &{{}} &{{}} & {~=~} &{\frac{1}{x \log 7 \log x}} \\
\end{array}$


◼ Remarks:
• 2 (magenta color): Here we apply change of base rule.
• 5 (magenta color): When the base of logarithm is not specified, it implies that, the base is e.

Solved example 21.67
Differentiate w.r.t x the following functions:
(i) $\rm{\cos^{-1} (\sin x)}$
(ii) $\rm{\tan^{-1} \left(\frac{\sin x}{1 + \cos x} \right)}$
(iii) $\rm{\sin^{-1} \left(\frac{2^{x+1}}{1 + 4^x} \right)}$
Solution:
Part (i):
$\begin{array}{ll} {~\color{magenta} 1 } &{{}} &{y} & {~=~} &{\cos^{-1} (\sin x)} \\
{~\color{magenta} 2 } &{\implies} &{\frac{dy}{dx}} & {~=~} &{\frac{-1}{\sqrt{1 - \sin^2 x}}.\frac{d}{dx} (\sin x)} \\
{~\color{magenta} 3 } &{{}} &{{}} & {~=~} &{\frac{-1}{\sqrt{\cos^2 x}}.\cos x} \\
{~\color{magenta} 4 } &{{}} &{{}} & {~=~} &{-1} \\
\end{array}$

Alternate method:
$\begin{array}{ll} {~\color{magenta} 1 } &{{}} &{y} & {~=~} &{\cos^{-1} (\sin x)} \\
{~\color{magenta} 2 } &{{}} &{{}} & {~=~} &{\cos^{-1} \left[\cos\left(\frac{\pi}{2} ~-~x \right) \right]} \\
{~\color{magenta} 3 } &{{}} &{{}} & {~=~} &{\frac{\pi}{2} ~-~x} \\
{~\color{magenta} 4 } &{\implies} &{\frac{dy}{dx}} & {~=~} &{-1} \\
\end{array}$

Part (ii): $\rm{\tan^{-1} \left(\frac{\sin x}{1 + \cos x} \right)}$
$\begin{array}{ll} {~\color{magenta} 1 } &{{}} &{y} & {~=~} &{\tan^{-1} \left(\frac{\sin x}{1 + \cos x} \right)} \\
{~\color{magenta} 2 } &{{}} &{{}} & {~=~} &{\tan^{-1} \left(\tan \frac{x}{2} \right)} \\
{~\color{magenta} 3 } &{{}} &{{}} & {~=~} &{\frac{x}{2}} \\
{~\color{magenta} 4 } &{\implies} &{\frac{dy}{dx}} & {~=~} &{\frac{1}{2}} \\
\end{array}$


◼ Remarks:
• 2 (magenta color): Here we use identities:
$\rm{\cos x ~=~ 1 - 2 \sin^2 \frac{x}{2}}$
$\rm{\cos x ~=~ 2 \cos^2 \frac{x}{2} - 1}$

Combining these two identities, we get:
$\rm{\tan \frac{x}{2}~=~\frac{\sin x}{1 + \cos x}}$

Part (iii): $\rm{\sin^{-1} \left(\frac{2^{x+1}}{1 + 4^x} \right)}$

1. First we will simplify the expression.
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\text{Let}~2^x}    & {~=~}    &{t}    \\
{~\color{magenta}    2    }    &{{}}    &{\text{Given:}~\frac{2^{x+1}}{1+4^x}}    & {~=~}    &{\frac{2.2^x}{1+(2.2)^x}}    \\
{~\color{magenta}    3    }    &{{}}    &{{}}    & {~=~}    &{\frac{2.2^x}{1+2^x .2^x}}    \\
{~\color{magenta}    4    }    &{{}}    &{{}}    & {~=~}    &{\frac{2t}{1+t^2}}    \\
\end{array}$

2. Next we will write 't' in terms of 𝜃.
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\text{Let}~t}    & {~=~}    &{\tan \frac{\theta}{2}}    \\
{~\color{magenta}    2    }    &{{}}    &{\text{Then:}~\frac{2t}{1+t^2}}    & {~=~}    &{\sin \theta}    \\
\end{array}$

(Identity 15. List of identities can be seen here

3. Next we will write 'y' in terms of 𝜃.
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{y}    & {~=~}    &{\sin^{-1} \left(\frac{2^{x+1}}{1 + 4^x} \right)}    \\
{~\color{magenta}    2    }    &{{}}    &{{}}    & {~=~}    &{\sin^{-1} \left(\frac{2t}{1 + t^2} \right)}    \\
{~\color{magenta}    3    }    &{{}}    &{{}}    & {~=~}    &{\sin^{-1}(\sin \theta)}    \\
{~\color{magenta}    4    }    &{{}}    &{{}}    & {~=~}    &{\theta}    \\
\end{array}$

4. Next we will write 𝜃 in terms of 'x'.
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{2^x}    & {~=~}    &{t}    \\
{~\color{magenta}    2    }    &{{}}    &{{}}    & {~=~}    &{\tan \frac{\theta}{2}}    \\
{~\color{magenta}    3    }    &{\implies}    &{\frac{\theta}{2}}    & {~=~}    &{\tan^{-1}(2^x)}    \\
{~\color{magenta}    4    }    &{\implies}    &{\theta}    & {~=~}    &{2. \tan^{-1}(2^x)}    \\
\end{array}$

5. Based on (3), we can now connect 'y' and 'x'.
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{y}    & {~=~}    &{2. tan^{-1}(2^x)}    \\
{~\color{magenta}    2    }    &{\implies}    &{\frac{dy}{dx}}    & {~=~}    &{2. \frac{1}{1 + (2^x)^2}.\frac{d}{dx}(2^x)}    \\
{~\color{magenta}    3    }    &{{}}    &{{}}    & {~=~}    &{2. \frac{1}{1 + (2^2)^x}.\frac{d}{dx}(2^x)}    \\
{~\color{magenta}    4    }    &{{}}    &{{}}    & {~=~}    &{\frac{2}{1 + 4^x}.\frac{d}{dx}(2^x)}    \\
\end{array}$

6. So our next task is to find the derivative of $\rm{2^x}$.
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{u}    & {~=~}    &{2^x}    \\
{~\color{magenta}    2    }    &{\implies}    &{\log u}    & {~=~}    &{x \log 2}    \\
{~\color{magenta}    3    }    &{\implies}    &{\frac{1}{u}.\frac{du}{dx}}    & {~=~}    &{1. \log 2}    \\
{~\color{magenta}    4    }    &{\implies}    &{\frac{du}{dx}}    & {~=~}    &{u.\log 2}    \\
{~\color{magenta}    5    }    &{{}}    &{{}}    & {~=~}    &{2^x \log 2}    \\
\end{array}$

7. So from (5), we get:
$\begin{array}{ll} {~\color{magenta}    1    }    &{{}}    &{\frac{dy}{dx}}    & {~=~}    &{\frac{2}{1 + 4^x}.\frac{d}{dx}(2^x)}    \\
{~\color{magenta}    2    }    &{{}}    &{{}}    & {~=~}    &{\frac{2}{1 + 4^x}.(2^x) \log 2}    \\
{~\color{magenta}    3    }    &{{}}    &{{}}    & {~=~}    &{\frac{2^{x+1} \log 2}{1 + 4^x}}    \\
\end{array}$



In the next section, we will see a few more solved examples.

Previous

Contents


Next

Copyright©2024 Higher secondary mathematics.blogspot.com