Applications of DerivativesAs we have discussed earlier that derivative is an important topic of calculus, similarly Applications of Derivatives also holds great importance as it fetches many direct questions in the IT JEE. With a bit of practice it is very easy to master this topic and there are some fixed patterns of questions asked from this topic. This section is the most scoring part of the JEE Mathematics syllabus.

This chapter covers various important topics like:

- Motion in Straight Line
- Geometrical Meaning of Derivative at Point
- Monotonicity
- Concept of Local Maxima and Local Minima
- Global Maxima and Minima
- Rolle Theorem and Lagrange Mean Value Theorem
- Solved Examples of Applications of Derivatives

We just give here an outline of some of the topics as they will be discussed in detail in the coming sections:

**Geometrical Interpretation of derivative:**

Hence, the derivative f'(x) can be interpreted as the slope of the tangent at point (x, y) on the graph of function y = f(x). From this interpretation, we get the following results:

(i) When a function is increasing on some interval, it is obvious that the slope of the tangent is positive at every point of that interval due to which its derivative is positive.

(ii) Similarly, in case a function is decreasing on some interval, the derivative is negative as the slope of the tangent is negative at every point of the interval.

**Rolle's Theorem.** Let **f** be a function which is differentiable on the closed interval **[a, b]**. If **f(a) = f(b)** then there exists a point **c** in **(a, b)** such that **f '(c) = 0**.

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**Mean Value Theorem.** Let **f** be a function which is differentiable on the closed interval **[a, b]**. Then there exists a point **c** in **(a, b)** such that

f'(c) = {f(b)-f(a)}/ (b-a)

**Maxima and Minima:**

There is a very slight difference between local maxima/minima and global maxima/minima. But it is very important to note that because this topic fetches various questions in the JEE.

**Local Maximum: **A function f is said to have a local maximum (also termed as relative maximum) at x=a if

f(x) ≤ f(c) , for every x in some open interval around x=c.

**Local Minimum: **A function f is said to have a relative minimum or a local minimum around x=c if

f(x) ≥ f(c) , for every x in some open interval around x=a.

**Global Maximum: **A function f is said to have a global maximum (also termed as absolute maximum) at x=a if

f(x) ≤ f(c) , for every x in the domain under consideration

**Global Minimum: **A function f is said to have a absolute minimum or a global minimum around x=c if

f(x) ≥ f(c) , for every x in the whole domain under consideration.

** **

**Illustration:**

Find the absolute extrema and relative extrema for the following functions.

f(x) = x^{3} on [-2,2].

**Solution:**

Substituting x=2 in the given function we get the function has absolute maximum of eight, while absolute minimum is -8 and occurs at x=-2. It is clear that there is no relative extrema.

**Monotonicity:**

A function f defined on a subset of real numbers is said to be monotonic if it preserves the order. Mathematically, it is written as

For all x and y, such that x≤ y, if f(x) ≤ f(y), then the function f is said to be monotonically increasing, increasing or non-decreasing.

Similarly, for x≤y, if f(x) ≥ f(y), then the function is monotonically decreasing, decreasing or non-increasing i.e. it reverses the order.

You may refer the Past Papers to get an idea about the types of questions asked.

**Illustration:**

Consider the function f(x) = 2x^{3}-3x^{2}-12x+1.

Since f(x) is a polynomial function so it is continuous and differentiable everywhere. Hence, finding the derivative we get

f(x)= 6x^{2}-6x-12 =6(x-2)(x+1).

So we have

Hence, f(x) is increasing on the intervals (- ∞, -1] and [2,∞ ) and decreasing on the interval [-1,2].

This video will provide you further clarification

**Illustration 1: **The function y = 2x^{2 }– log |x| is monotonically increasing for values of x ≠ 0 satisfying the inequalities ……. and monotonically decreasing for values of x satisfying…..

**Solution: **The given function is y = 2x^{2 }– log |x|.

x ∈ (-1/2, 0) ∪ (1/2, ∞), x ∈ (-∞ , -1/2) ∪ (0, ½)

Here, y = 2x^{2} – log x , x >0

2x^{2} – log (-x) , x < 0

So this implies

dy/dx = 4x – 1/x, x >0

= 4x – 1/x, x < 0

Hence, dy/dx = 4x^{2} – 1/x, x ∈ R – {0}

= (2x -1) (2x +1)/x

Therefore, it is increasing when x ∈(-1/2, 0) ∪ (1/2, ∞)

And decreasing when x ∈ (-∞, -1/2) ∪ (0, ½).

**Illustration 2: **The maximum value of

(cos α_{1}). (cos α_{2})…. (cos α_{n}), under the restrictions 0 ≤ α_{1}, α_{2},… , α_{n }≤ π/2

(cot α_{1}). (cot α_{2})…. (cot α_{n}) = 1 is

1. 1/2^{n/2 } 2. 1/2^{n}

3. 1/2n 4. 1

**Solution: **Given cot α_{1}. cot α_{2}….....cot α_{n} = 1

Then, cos α_{1}/sin α_{1} . cos α_{2}/sin α_{2} . cos α_{3}/sin α_{3} ….. cos α_{n}/sin α_{n} = 1.

Hence, cos α_{1}. cos α_{2}…. cos α_{n} = k …….. (1)

and sin α_{1}. sin α_{2}……. sin α_{n} = k …….. (2)

by multiplying equations (1) and (2) we get,

(cos α_{1}. cos α_{2}…… cos α_{n}) x (sin α_{1}. sin α_{2}……. sin α_{n}) = k^{2}

Then k^{2} = 1/ 2.2.2…….. n times . (2 sin α_{1}. cos α_{1}) (2 sin α_{2}. cos α_{2}) (2 sin α_{3}. cos α_{3})………… (2 sin α_{n}. cos α_{n})

Hence, k^{2} = 1/2^{n} (sin 2α_{1}).(sin 2α_{2})…….. (sin 2α_{n})

≤ 1/2^{n} sin 2α_{i} ≤ 1 for all 1≤ i ≤ n

Hence, k ≤ 1/2^{n/2}. Hence the correct option is (1).

**Illustration 3: **If f(x) = x^{a} log x and f(0) = 0, then the value of a for which the Rolle’s theorem can be applied in [0,1] is

1. -2 2. -1

3. 0 4. ½

**Solution: **In order to satisfy the Rolle’s Theorem, the function needs to be continuous in [0, 1].

So, lim _{x→0+} f(x) = f(0)

lim _{x→0+} log x/ x^{-a} = 0.

lim _{x→0+} (1/x)/-ax^{-a-1} = 0.

lim _{x→0+} x^{a}/ a = 0.

This clearly implies that a > 0.

Now, ∀ a > 0, f(x) is differential in (0, 1) and f (1) = 0 = f (0).