Ready to learn how to find the highest point on a hill without climbing it? That’s the magic of applying derivatives. In the world of change, derivatives are your compass; applications of derivatives are your map. It is a key concept in calculus used to analyse the behaviour of functions in real-life and mathematical problems. Derivatives help us understand the variation of a function with respect to the variable. In simple words, we use derivatives to find the turning points and check where things are the biggest, smallest, or constant. For example, the rate of change of the position of a particle is velocity, and this rate is known as the derivative of position with respect to time. In the applications where optimisation needs to be done, derivative plays an important role in finding the points of maximum and minimum value. Class 12 Maths Chapter 6 notes contain topics such as finding the derivatives of the equations, rate of change of quantities, increasing and decreasing functions, tangents and normals, Maxima and minima, etc. These NCERT Class 12 Maths notes of chapter 6 contain related theorems and their proofs, which are very important from an examination point of view.
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If derivatives are the heartbeat of calculus, their applications are the rhythm of problem-solving. These NCERT notes Class 12 Maths Chapter 6 offer well-explained and structured content to help the students grasp the concepts of the application of derivatives easily. Aligned with the latest CBSE syllabus, these Class 12 Chapter 6 Maths notes crafted by Careers360 experts help you master each concept confidently. Head to the following link for your syllabus, solutions, and all chapter-wise PDFs in one place: NCERT.
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For the function $y=f(x), \frac{d}{d x}(f(x))$ represents the rate of change of $y$ with respect to $x$. Thus, if ' $s$ ' represents the distance and ' $t$ ' the time, then $\frac{d s}{d t}$ represents the rate of change of distance with respect to time.
Definition
The rate of change of distance (S) with respect to time (t) is called the rate of change.
Mathematical Representation: $\frac{d s}{d t}$
Mathematical Representation: $\frac{d y}{d x}=\frac{d y}{d t} \frac{d t}{d x}$ if $\frac{d x}{d t} \neq 0$
So, the rate of change of y with x can be calculated using the rate of change of y and x with respect to t.
Definition
Strictly increasing: Function f: X→R is defined on an X⊂R is increasing if f(x) ≤ f(y) where x < y. If there is inequality that is strict, i.e., f(x)<f(y) where x<y, then f is strictly increasing.
Strictly decreasing: Function f: X→R is defined on an X⊂R is decreasing if f(x) ≥ f(y) where x < y. If there is inequality that is strict, i.e., f(x) > f(y) where x < y, then f is strictly decreasing.
Mathematical equations
a) Increasing if x1 < x2 ⇒ f (x1) < f (x2) for all x1, x2 ∈ (interval)
b) Decreasing if x1 < x2 ⇒f(x1) < f(x2) for all x1, x2 ∈ (interval)
c) If f(x) = c for all x ∈ intervals, where c is a constant.
d) Decreasing if x1 < x2 ⇒ f (x1) ≥ f (x2) for all x1, x2 ∈ intervals.
e) Strictly decreasing if x1 < x2 ⇒ f(x1) > f(x2) for all x1, x2 ∈ interval
Let f, which denotes a function, be a continuous function on [a, b] and be differentiable on the interval (a, b). Then
(a) f is said to be increasing in the interval [a, b] if f ′(x) > 0, where x ∈ (a, b)
(b) f is said to be decreasing in the interval [a, b] if f ′(x) < ,0 where x ∈ (a, b)
(c) f is said to be a constant function interval [a, b] if f ′(x) = 0 where x ∈ (a, b)
Proof
Let x1, x2 ∈ to interval [a, b] where x1 < x2. Then, by the Mean Value Theorem that is learned earlier:
$\begin{aligned} & f^{\prime}(c)=\frac{f(x_2)-f(x_1)}{(x_2-x_1)} \\ &\Rightarrow f(x_2)-f(x_1)=f^{\prime}(c)(x_2-x_1) \\ & \Rightarrow f(x_2)-f(x_1)>0\end{aligned}$
f(x2) > f(x1)
So x1<x2 in the interval (a, b).
Hence, f is said to be an increasing function in [a, b].
Similarly, it can be done to decrease functions as well. By simply interchanging the signs.
A line touching a curve $y=f(x)$ at a point $\left(x_1, y_1\right)$ is called the tangent to the curve at that point and its equation is given $y-y_1=\left(\frac{d y}{d x}\right)_{\left(x_1, y_1\right)}\left(x-x_1\right)$.
The normal to the curve is the line perpendicular to the tangent at the point of contact, and its equation is given as:
$y-y_1=\frac{-1}{\left(\frac{d y}{d x}\right)_{\left(x_1, y_1\right)}}\left(x-x_1\right)$
The angle of intersection between two curves is the angle between the tangents to the curves at the point of intersection.
Since $f^{\prime}(x)=\lim _{\Delta x \rightarrow 0} \frac{f(x+\Delta x)-f(x)}{\Delta x}$, we can say that $f^{\prime}(x)$ is approximately equal to $\frac{f(x+\Delta x)-f(x)}{\Delta x}$
$\Rightarrow$ approximate value of $f(x+\Delta x)=f(x)+\Delta x \cdot f^{\prime}(x)$.
Increasing/decreasing functions
A continuous function in an interval $(a, b)$ is :
(i) strictly increasing if for all $x_1, x_2 \in(a, b), x_1<x_2 \Rightarrow f\left(x_1\right)<f\left(x_2\right)$ or for all $x \in(a, b), f^{\prime}(x)>0$
(ii) strictly decreasing if for all $x_1, x_2 \in(a, b), x_1<x_2 \Rightarrow f\left(x_1\right)>f\left(x_2\right)$ or for all $x \in(a, b), f^{\prime}(x)<0$
Let $f$ be a continuous function on $[a, b]$ and differentiable in $(a, b)$,
then
(i) $f$ is increasing in $[a, b]$ if $f^{\prime}(x)>0$ for each $x \in(a, b)$
(ii) $f$ is decreasing in $[a, b]$ if $f^{\prime}(x)<0$ for each $x \in(a, b)$
(iii) $f$ is a constant function in $[a, b]$ if $f^{\prime}(x)=0$ for each $x \in(a, b)$.
Maxima and Minima
Local Maximum/Local Minimum for a real-valued function $f$
A point $c$ in the interior of the domain of $f$ is called
(i) a local maximum, if there exists an $h>0$, such that $f(c)>f(x)$, for all $x$ in $(c-h, c+h)$.
The value $f(c)$ is called the local maximum value of $f$.
(ii) local minima if there exists an $h>0$ such that $f(c)<f(x)$, for all $x$ in $(c-h, c+h)$.
The value $f(c)$ is called the local minimum value of $f$.
A function $f$ defined over $[a, b]$ is said to have maximum (or absolute maximum) at $x=c, c \in[a, b]$, if $f(x) \leq f(c)$ for all $x \in[a, b]$.
Similarly, a function $f(x)$ defined over $[a, b]$ is said to have a minimum [or absolute minimum $]$ at $x=d$ if $f(x) \geq f(d)$ for all $x \in[a, b]$.
Critical point of $f$: A point $c$ in the domain of a function $f$ at which either $f^{\prime}(c)=0$ or $f$ is not differentiable is called a critical point of $f$.
f is a function in the interval I, and f be continuous at point c in I, then
a) When f’(x) changes sign from positive to negative when x increases passing through c, that is, f’(x)>0 to the left of c and f’(x)<0 to the right of c, then c is called a point of maxima.
b) When f’(x) changes sign from negative to positive when x increases passing through c, that is f’(x)<0 to the left of c and f’(x)>0 to the right of c, then c is called a point of minima.
c) When f’(x) does not change when x increases, then c is neither a point of local maxima nor a point of local minima. It is called the point of inflexion.
F is a function in the interval I, then f is twice differentiable (f’’(x)) at c, then
a) x=c, a point of local maxima only when f’(c) =0 and f’’(c) < 0 then f(C) is called local maximum of the function f.
b) x=c, a point of local minima only when f’(c) =0 and f’’(c) > 0 then f(C) is called a local minimum of the function f.
c) It doesn’t work if both f’(c)=0 and f’’(c)=0;
f is continuous in the interval I = [a, b]. f has both absolute
maximum and minimum values, and f has at least one value in the interval I;
f be a continuous function in the interval I. f is a differentiable function in the Interval I. c be any point
a) f’(c) =0 if f gets its absolute maximum value at point c.
b) f’(c) =0 if f gets its absolute minimum value at point c.
We have a few working rules to find these values:
Step 1: Finding the critical points
Find f’(x) =0 or not differentiable;
Step 2: Take the extreme points in the interval.
Step 3: calculate all the values of f found above in steps 1,2;
Step 4: Find the maximum and minimum values that are found in Step 3. Among those maximum values, the greatest value of f will be the absolute maximum, and the least value will be the absolute minimum value of f.
Question 1:
Find the values of ' $a$ ' for which $f(x)=\sqrt{3} \sin x-\cos x-2 a x+b$ is decreasing on $\mathbb{R}$.
Solution:
$f(x)=\sqrt{3} \sin x-\cos x-2 a x+b$
For $f(x)$ to be decreasing, $f'(x) \leq 0$ for all $x$.
$f'(x) = \sqrt{3} \cos x + \sin x - 2a$.
$\sqrt{3} \cos x + \sin x - 2a \leq 0$
$\sqrt{3} \cos x + \sin x \leq 2a$
The maximum value of $\sqrt{3} \cos x + \sin x$ is $\sqrt{(\sqrt{3})^2 + 1^2} = \sqrt{3+1} = 2$
For the inequality to hold for all $x$,
We need $2 \leq 2a$, which gives $a \geq 1$
Hence, the correct answer is ($a \geq 1$).
Question 2:
Find the intervals in which function $\mathrm{f}(x)=5 x^{\frac{3}{2}}-3 x^{\frac{5}{2}}$ is increasing.
Solution:
Given: $f(x) = 5x^{3/2} - 3x^{5/2}$
Differentiate with respect to x:
$f'(x) = \frac{15}{2}x^{1/2} - \frac{15}{2}x^{3/2} $
$= \frac{15}{2}\sqrt{x}(1-x)$
For increasing function, $f'(x) > 0$:
$\frac{15}{2}\sqrt{x}(1-x) > 0$
We have $\sqrt{x} > 0$, where $x>0$ and we need $1-x > 0$, which means $x < 1$.
Also, for $f(x)$ to be defined, $x \ge 0$.
At $x=0$, the derivative will be $0$, which means the function is neither decreasing nor increasing at this point, so we can not take $0$ in the interval where the function will be increasing.
Thus, the interval where $f(x)$ is increasing is $(0, 1)$.
Hence, the correct answer is $(0, 1)$.
Question 3:
The absolute maximum value of function $\mathrm{f}(x)=x^3-3 x+2$ in $[0,2]$ is:
Solution:
To find the absolute maximum of $f(x) = x^3 - 3x + 2$ in $[0, 2]$:
Differentiate both sides w.r.t. $x$,
$f'(x) = 3x^2 - 3$
Put the value of the derivative equal to zero,
$f'(x)= 0 $
$⇒3x^2 - 3=0$
$⇒3x^2=3$
$⇒x^2=1$
$\Rightarrow x = \pm 1$.
Only $x=1$ is the critical point in the interval.
Evaluate the value of $f(x)$ at critical point and endpoints:
$f(0) = 0^3 - 3(0) + 2 = 2$
$f(1) = 1^3 - 3(1) + 2 = 0$
$f(2) = 2^3 - 3(2) + 2 = 4$
The maximum value is $4$.
Hence, the correct answer is 4.
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Frequently Asked Questions (FAQs)
The slope of the tangent line to a curve at any point is the value of the derivative of the function at that point. The tangent line represents the best linear approximation to the curve at that point.
A derivative represents the rate of change of a function concerning its variable. It measures how a function's output changes as its input changes.
In real life, derivatives are used to model phenomena like speed, growth rates, and optimisation problems.
For example, they are used in economics to calculate marginal cost and revenue, in physics to find velocity and acceleration, and in biology to study population growth.
Some common methods include:
First Derivative Test: Finding the critical points by setting the first derivative equal to zero and analysing the sign changes of the first derivative.
Second Derivative Test: Using the second derivative to determine the concavity of the function at a critical point (whether it’s a maximum or minimum).
The first derivative of a function gives the rate of change or slope of the function. In applications, this can represent:
Velocity in motion problems (rate of change of position),
Rate of change of cost or revenue in economics,
Slope of a curve in optimisation problems, where we want to find the maximum or minimum values.
Common methods include:
Optimisation: Using first and second derivative tests to find maxima and minima.
Rate of Change Problems: Solving related rates problems using derivatives.
Tangents and Normals: Finding the equation of tangents and normals at given points on a curve.
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