Mathematics: Class 12 (Book 1) — Chapter 6: Application of Derivatives

6.1 Introduction & Rate of Change of Quantities

Historical Chronicle: Alfred North Whitehead & Calculus

  • Historical Context & Milestones: Alfred North Whitehead (1861–1947) was an English mathematician and philosopher who co-authored the monumental Principia Mathematica, seeking to ground mathematics on a rigorous logical foundation.
  • Theoretical Foundations: Whitehead championed the view that calculus serves as the ultimate key to decoding the dynamic, continuously changing processes of the natural world, transforming static algebraic models into active physical descriptions.

In Chapter 5, we learned how to find the derivative of composite, inverse trigonometric, implicit, exponential, and logarithmic functions. In this chapter, we explore the practical applications of derivatives in engineering, science, social sciences, and other fields.

Mathematical Formulation of Rate of Change

If a variable quantity $y$ varies with another quantity $x$ according to a rule $y = f(x)$, then the derivative $\frac{dy}{dx} = f'(x)$ represents the instantaneous rate of change of $y$ with respect to $x$.

The rate of change of $y$ with respect to $x$ at a specific point $x = x_0$ is denoted by:

$$\left. \frac{dy}{dx} \right|_{x = x_0} \text{ or } f'(x_0)$$

If two variables $x$ and $y$ are both varying with respect to another variable $t$ (such as time), i.e., $x = f(t)$ and $y = g(t)$, then by the Chain Rule, the rate of change of $y$ with respect to $x$ is calculated as:

$$\frac{dy}{dx} = \frac{\frac{dy}{dt}}{\frac{dx}{dt}}, \quad \text{provided } \frac{dx}{dt} \neq 0$$
Rate of Change Reference Matrix
Structural Concept / Function Type Exact Mathematical Domain / Sign Properties Active Operation Formulas / Identities Systemic Role & Evaluation Limits
Rate of Change of Distance Time $t > 0$ $v = \frac{ds}{dt}$ Represents instantaneous velocity of a moving particle.
Rate of Change of Area (Circle) Radius $r > 0$ $\frac{dA}{dr} = 2\pi r$ Measures area expansion per unit change in radius.
Marginal Cost (MC) Production units $x \ge 0$ $MC = \frac{dC}{dx}$ Instantaneous rate of change of total cost w.r.t output level.
Marginal Revenue (MR) Units sold $x \ge 0$ $MR = \frac{dR}{dx}$ Instantaneous rate of change of total revenue w.r.t units sold.
Algorithmic Solved Examples

Mathematical Problem Statement: The volume of a cube is increasing at a rate of $9\text{ cm}^3/\text{s}$. How fast is the surface area increasing when the length of an edge is $10\text{ cm}$?


Step-by-Step Algorithmic Solution Trace:

  1. Let $x$ be the edge length, $V$ be the volume, and $S$ be the surface area of the cube. Thus, $V = x^3$ and $S = 6x^2$.
  2. We are given the rate of change of volume: $\frac{dV}{dt} = 9\text{ cm}^3/\text{s}$.
  3. By the Chain Rule, differentiate $V$ with respect to $t$:$$\frac{dV}{dt} = 3x^2 \frac{dx}{dt} \implies 9 = 3x^2 \frac{dx}{dt} \implies \frac{dx}{dt} = \frac{3}{x^2}$$
  4. Differentiate the surface area $S = 6x^2$ with respect to $t$:$$\frac{dS}{dt} = 12x \frac{dx}{dt}$$
  5. Substitute $\frac{dx}{dt} = \frac{3}{x^2}$ into the expression for $\frac{dS}{dt}$:$$\frac{dS}{dt} = 12x \left(\frac{3}{x^2}\right) = \frac{36}{x}$$
  6. Evaluate at $x = 10\text{ cm}$:$$\frac{dS}{dt} = \frac{36}{10} = 3.6\text{ cm}^2/\text{s}$$

Final Evaluation Output: The surface area is increasing at a rate of $3.6\text{ cm}^2/\text{s}$.

Mathematical Problem Statement: The length $x$ of a rectangle is decreasing at the rate of $3\text{ cm/minute}$ and the width $y$ is increasing at the rate of $2\text{ cm/minute}$. When $x = 10\text{ cm}$ and $y = 6\text{ cm}$, find the rates of change of (a) the perimeter and (b) the area of the rectangle.


Step-by-Step Algorithmic Solution Trace:

  1. Identify the given rates: $\frac{dx}{dt} = -3\text{ cm/min}$ (negative because length is decreasing) and $\frac{dy}{dt} = 2\text{ cm/min}$.
  2. (a) Perimeter $P = 2(x + y)$:$$\frac{dP}{dt} = 2\left(\frac{dx}{dt} + \frac{dy}{dt}\right) = 2(-3 + 2) = -2\text{ cm/min}$$
  3. (b) Area $A = x \cdot y$: Using the product rule:$$\frac{dA}{dt} = \frac{dx}{dt} \cdot y + x \cdot \frac{dy}{dt}$$Substitute the known parameters:$$\frac{dA}{dt} = -3(6) + 10(2) = -18 + 20 = 2\text{ cm}^2/\text{min}$$

Final Evaluation Output: (a) The perimeter is decreasing at a rate of $2\text{ cm/min}$. (b) The area is increasing at a rate of $2\text{ cm}^2/\text{min}$.

6.2 Increasing and Decreasing Functions

We use derivatives to determine whether a function is increasing, decreasing, or constant on a given interval.

Analytical Definitions

Let $I$ be an interval contained in the domain of a real-valued function $f$. Then $f$ is said to be:

  • increasing on $I$ if $x_1 < x_2 \text{ in } I \implies f(x_1) \le f(x_2)$ for all $x_1, x_2 \in I$.
  • strictly increasing on $I$ if $x_1 < x_2 \text{ in } I \implies f(x_1) < f(x_2)$ for all $x_1, x_2 \in I$.
  • decreasing on $I$ if $x_1 < x_2 \text{ in } I \implies f(x_1) \ge f(x_2)$ for all $x_1, x_2 \in I$.
  • strictly decreasing on $I$ if $x_1 < x_2 \text{ in } I \implies f(x_1) > f(x_2)$ for all $x_1, x_2 \in I$.
  • constant on $I$ if $f(x) = c$ for all $x \in I$, where $c$ is a constant.
Theorem 1: First Derivative Test for Monotonicity

Let $f$ be continuous on $[a, b]$ and differentiable on the open interval $(a, b)$. Then:

  1. $f$ is increasing in $[a, b]$ if $f'(x) \ge 0$ for each $x \in (a, b)$.
  2. $f$ is decreasing in $[a, b]$ if $f'(x) \le 0$ for each $x \in (a, b)$.
  3. $f$ is a constant function in $[a, b]$ if $f'(x) = 0$ for each $x \in (a, b)$.
Algorithmic Solved Examples

Mathematical Problem Statement: Find the intervals in which the function $f$ given by $f(x) = x^2 - 4x + 6$ is (a) strictly increasing, (b) strictly decreasing.


Step-by-Step Algorithmic Solution Trace:

  1. Differentiate the function: $f'(x) = 2x - 4$.
  2. Set $f'(x) = 0$ to find the critical point: $2x - 4 = 0 \implies x = 2$.
  3. The point $x = 2$ divides the real line into two disjoint intervals: $(-\infty, 2)$ and $(2, \infty)$.
  4. Test the sign of $f'(x)$ in each interval:
    • In $(-\infty, 2)$, choose $x = 0 \implies f'(0) = -4 < 0$. Thus, $f$ is strictly decreasing.
    • In $(2, \infty)$, choose $x = 3 \implies f'(3) = 2 > 0$. Thus, $f$ is strictly increasing.

Final Evaluation Output: $f$ is strictly decreasing in $(-\infty, 2]$ and strictly increasing in $[2, \infty)$.

6.3 Maxima and Minima

Derivatives are highly effective in locating the maximum and minimum values of a function, which correspond to the peaks and valleys of its graph.

Local Extrema Definitions

Let $f$ be a real-valued function and let $c$ be an interior point in the domain of $f$.

  • $c$ is a point of local maxima if there exists an $h > 0$ such that $f(c) \ge f(x)$ for all $x \in (c - h, c + h)$. The value $f(c)$ is called the local maximum value of $f$.
  • $c$ is a point of local minima if there exists an $h > 0$ such that $f(c) \le f(x)$ for all $x \in (c - h, c + h)$. The value $f(c)$ is called the local minimum value of $f$.
  • A point $c$ in the domain of a function $f$ at which either $f'(c) = 0$ or $f$ is not differentiable is called a critical point of $f$.
Theorem 3: First Derivative Test for Local Extrema

Let $f$ be continuous at a critical point $c$ in an open interval $I$.

  1. If $f'(x)$ changes sign from positive to negative as $x$ increases through $c$, then $c$ is a point of local maxima.
  2. If $f'(x)$ changes sign from negative to positive as $x$ increases through $c$, then $c$ is a point of local minima.
  3. If $f'(x)$ does not change sign as $x$ increases through $c$, then $c$ is defined as a point of inflection.
Theorem 4: Second Derivative Test

Let $f$ be a function defined on an interval $I$ and $c \in I$. Let $f$ be twice differentiable at $c$.

  1. $x = c$ is a point of local maxima if $f'(c) = 0$ and $f''(c) < 0$.
  2. $x = c$ is a point of local minima if $f'(c) = 0$ and $f''(c) > 0$.
  3. The test fails if $f'(c) = 0$ and $f''(c) = 0$. In this case, we revert to the First Derivative Test.
Algorithmic Solved Examples

Mathematical Problem Statement: Find the local maximum and local minimum values of the function $f(x) = 3x^4 + 4x^3 - 12x^2 + 12$.


Step-by-Step Algorithmic Solution Trace:

  1. Find the first derivative of $f(x)$:$$f'(x) = 12x^3 + 12x^2 - 24x = 12x(x - 1)(x + 2)$$
  2. Set $f'(x) = 0$ to find the critical points: $x = 0, x = 1, x = -2$.
  3. Find the second derivative of $f(x)$:$$f''(x) = 36x^2 + 24x - 24 = 12(3x^2 + 2x - 2)$$
  4. Apply the Second Derivative Test at each critical point:
    • At $x = 0$: $f''(0) = -24 < 0 \implies x = 0$ is a point of local maxima.
    • At $x = 1$: $f''(1) = 36 > 0 \implies x = 1$ is a point of local minima.
    • At $x = -2$: $f''(-2) = 72 > 0 \implies x = -2$ is a point of local minima.
  5. Calculate the local maximum and minimum values:
    • Local maximum value at $x = 0$: $f(0) = 12$.
    • Local minimum value at $x = 1$: $f(1) = 3(1)^4 + 4(1)^3 - 12(1)^2 + 12 = 7$.
    • Local minimum value at $x = -2$: $f(-2) = -20$.

Final Evaluation Output: Local maximum value is $12$ (at $x = 0$), and local minimum values are $7$ (at $x = 1$) and $-20$ (at $x = -2$).

6.4 Absolute Maxima and Minima in a Closed Interval

For a continuous function defined on a closed interval $[a, b]$, the absolute maximum and absolute minimum values always exist and occur either at the critical points or at the endpoints of the interval.

Working Rule for Finding Absolute Extrema
  1. Find all critical points of $f$ in the interval $(a, b)$ where either $f'(x) = 0$ or $f$ is not differentiable.
  2. Take the endpoints $a$ and $b$ of the interval.
  3. Calculate the values of $f(x)$ at all points identified in Steps 1 and 2.
  4. Identify the maximum and minimum values from this set. The largest value is the absolute maximum value, and the smallest is the absolute minimum value.
Algorithmic Solved Examples

Mathematical Problem Statement: Find the absolute maximum and minimum values of the function $f(x) = 2x^3 - 15x^2 + 36x + 1$ on the interval $[1, 5]$.


Step-by-Step Algorithmic Solution Trace:

  1. Differentiate the function:$$f'(x) = 6x^2 - 30x + 36 = 6(x - 3)(x - 2)$$
  2. Find critical points by setting $f'(x) = 0$: $x = 2, x = 3$. Both lie within $[1, 5]$.
  3. Evaluate $f(x)$ at the critical points and endpoints ($x = 1, 2, 3, 5$):
    • $f(1) = 2(1)^3 - 15(1)^2 + 36(1) + 1 = 24$
    • $f(2) = 2(2)^3 - 15(2)^2 + 36(2) + 1 = 29$
    • $f(3) = 2(3)^3 - 15(3)^2 + 36(3) + 1 = 28$
    • $f(5) = 2(5)^3 - 15(5)^2 + 36(5) + 1 = 56$
  4. Compare the values: the maximum value is $56$ and the minimum value is $24$.

Final Evaluation Output: The absolute maximum value of $f$ on $[1, 5]$ is $56$ (occurring at $x = 5$), and the absolute minimum value is $24$ (occurring at $x = 1$).

6.5 Applied Optimization Problems

Optimization techniques are widely used to solve real-world geometric and physical problems, such as maximizing volume or minimizing surface area.

Algorithmic Solved Examples

Mathematical Problem Statement: Find two positive numbers whose sum is $15$ and the sum of whose squares is minimum.


Step-by-Step Algorithmic Solution Trace:

  1. Let the first number be $x$. Then the second number is $(15 - x)$.
  2. Define the function $S(x)$ representing the sum of their squares:$$S(x) = x^2 + (15 - x)^2 = 2x^2 - 30x + 225$$
  3. Find the first derivative of $S(x)$:$$S'(x) = 4x - 30$$
  4. Set $S'(x) = 0$ to find the critical point: $4x - 30 = 0 \implies x = \frac{15}{2}$.
  5. Find the second derivative to verify minimality:$$S''(x) = 4 > 0$$Since $S''(x) > 0$, $x = \frac{15}{2}$ is a point of local minima.
  6. Calculate the two numbers: First number $= \frac{15}{2}$, Second number $= 15 - \frac{15}{2} = \frac{15}{2}$.

Final Evaluation Output: The two positive numbers are $\frac{15}{2}$ and $\frac{15}{2}$.