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NDA Maths · Application of Derivatives

Monotonicity, Maxima & Minima

The sign of f′ says where a function rises or falls; the zeros of f′ are the candidates for peaks and valleys, sorted by the first- or second-derivative test, with endpoints checked for the absolute extremum.

Why this matters

This is the densest subtopic in the chapter. Almost every question is one of four moves: read intervals from the sign of f′, classify a critical point, find the greatest/least value on an interval, or impose a condition (no extremum / monotonic) on a parameter.

Concept 1 of 4: Increasing and decreasing intervals

Where the tangent slopes up the function rises, where it slopes down it falls. So the sign of f′(x)f'(x) on an interval decides monotonicity — find where f′=0f'=0 or is undefined, then test the sign of f′f' in each resulting interval.

Definition

On an interval: f′(x)>0⇒ff'(x)>0\Rightarrow f increasing; f′(x)<0⇒ff'(x)<0\Rightarrow f decreasing. Method: solve f′(x)=0f'(x)=0 for the critical xx, split the line at those points, and test the sign of f′f' in each piece (a product like (x−a)(x−b)(x−c)(x-a)(x-b)(x-c) flips sign at each root). 'Monotonic on an interval' or 'no turning' imposes a one-sided sign condition that may fix a parameter.

  • Proving an inequality by monotonicity: to show g(x)>h(x)g(x)>h(x) for x>0x>0, set f=g−hf=g-h; if f(0)=0f(0)=0 (or f(0)≥0f(0)\ge0) and f′>0f'>0 on (0,∞)(0,\infty), then f>0f>0 there. So x>sin⁡xx>\sin x for x>0x>0 (from f=x−sin⁡xf=x-\sin x, f′=1−cos⁡x≥0f'=1-\cos x\ge0), ex>1+xe^x>1+x, ln⁡(1+x)<x\ln(1+x)<x. To COMPARE two numbers like 9ln⁡79\ln7 and 7ln⁡97\ln9, find a function of one variable that produces both — ln⁡xx\dfrac{\ln x}{x} is decreasing for x>ex>e, so ln⁡77>ln⁡99\dfrac{\ln7}{7}>\dfrac{\ln9}{9}, hence 79>977^9>9^7; equivalently xln⁡x\dfrac{x}{\ln x} is increasing for x>ex>e with minimum ee at x=ex=e.
  • Length of a monotone interval of a periodic function: sin⁡kx\sin kx and cos⁡kx\cos kx have period 2πk\tfrac{2\pi}{k}, so each run of increase or decrease lasts HALF a period, πk\tfrac{\pi}{k}. Collapse first: 2cos⁡2x−1=cos⁡2x2\cos^2x-1=\cos2x decreases on intervals of length π2\tfrac\pi2, not π\pi; 3sin⁡x−4sin⁡3x=sin⁡3x3\sin x-4\sin^3x=\sin3x increases on intervals of length π3\tfrac\pi3.
f′ > 0 ↑f′ < 0 ↓f′ > 0 ↑f′=0

Worked example

On which intervals is f(x)=x3−3xf(x)=x^3-3x increasing?
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

NDA · Sep 2019 · Q100Moderate

Example 1 · Application of Derivatives · Monotonicity, Extrema, and Critical Points

If f(x)=x33−5x22+6x+7f(x) = \dfrac{x^{3}}{3} - \dfrac{5x^{2}}{2} + 6x + 7 increases in the interval TT and decreases in the interval SS, then which one of the following is correct ?

Monotonicity is decided by the sign of f′f', not ff

ff increasing   ⟺  f′(x)≥0\iff f'(x)\ge 0 on the interval (and f′(x)≤0f'(x)\le 0 for decreasing). A large or positive VALUE of ff says nothing — read the sign of the DERIVATIVE. Sign-test f′f' on each piece between its zeros.

Concept 2 of 4: Critical points and the derivative tests

Local peaks and valleys occur where the tangent is flat (f′=0f'=0). To tell which is which, either watch the sign of f′f' flip (first-derivative test) or check the bend f′′f'' (second-derivative test): f′′>0f''>0 is a valley, f′′<0f''<0 a peak.

Definition

Critical points: where f′(x)=0f'(x)=0 (or undefined). First-derivative test: f′f' changes +→−+\to- ⇒ local max; −→+-\to+ ⇒ local min. Second-derivative test: at a critical point, f′′>0f''>0 ⇒ local min, f′′<0f''<0 ⇒ local max, f′′=0f''=0 ⇒ inconclusive. A function can attain the same extreme value at two points (e.g. ±3\pm 3).

local max (f″<0)local min (f″>0)tangent flat at both

Worked example

Find and classify the extrema of f(x)=x2+128xf(x)=x^2+\dfrac{128}{x} (x>0x>0).
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

NDA · Apr 2024 · Q91Easy

Example 2 · Application of Derivatives · Monotonicity, Extrema, and Critical Points

A differentiable function f(x)f(x) has a local maximum at x=0x=0. Let y=2f(x)+ax−by=2f(x)+ax-b. Which of the following is/are correct? (A) f′(0)=0f'(0)=0 (B) f′′(0)<0f''(0)<0 Select the correct answer using the code given below:

f′′>0f''>0 is a MINIMUM, not a maximum

Second-derivative test: at a critical point f′′>0f''>0 means the curve is concave up ⇒ a local minimum; f′′<0f''<0 ⇒ a local maximum. The sign is the opposite of what students often guess. (f′′=0f''=0 is inconclusive — fall back to the first-derivative test.)

f′=0f'=0 is NECESSARY, not sufficient, for an extremum

A critical point is only a CANDIDATE. f′=0f'=0 can be a point of inflection with no extremum (e.g. f(x)=x3f(x)=x^3 at x=0x=0). You must still confirm a genuine sign change of f′f' (or check f′′f'').

Concept 3 of 4: Greatest and least value on an interval

The absolute (global) maximum or minimum on a closed interval is the largest/smallest among the critical-point values and the endpoint values. Forgetting the endpoints is the classic mistake. On an open interval the extreme may not be attained at all.

Definition

On [a,b][a,b]: compute ff at every critical point inside, plus f(a)f(a) and f(b)f(b); the greatest is the absolute max, the least the absolute min. On an open interval the sup/inf may be approached but never reached (so 'attains its maximum' can be false even when bounded).

Worked example

Find the greatest and least value of f(x)=2sin⁡x+1f(x)=2\sin x+1 on [0,π][0,\pi].
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

NDA · Sep 2024 · Q85Hard

Example 3 · Application of Derivatives · Monotonicity, Extrema, and Critical Points

Let f(x)=cos⁡2x+xf(x)=\cos 2x+x on [−π2,π2]\left[-\dfrac{\pi}{2},\dfrac{\pi}{2}\right].
What is the greatest value of f(x)f(x)?

On a closed interval, ALWAYS test the endpoints

The absolute max/min on [a,b][a,b] is the largest/smallest among the critical-point values AND f(a),f(b)f(a),f(b). The extreme value frequently sits at an endpoint, not at a turning point — comparing only critical points is the classic error.

Concept 4 of 4: Conditions for no extremum / counting extrema

To force a polynomial to have no turning points, make its derivative keep one sign — for a cubic, that means the quadratic f′f' has no real roots (discriminant < 0). To count extrema, count the sign-changes of f′f', i.e. how many times f′=0f'=0 with a genuine sign flip.

Definition

  • No extremum (cubic): f′f' is a quadratic; require discriminant <0<0 so f′f' never changes sign (monotonic).
  • Counting extrema: solve f′(x)=0f'(x)=0 on the given domain and count the roots where f′f' actually changes sign (e.g. cos⁡4x=−12\cos 4x=-\tfrac12 has several solutions in (0,π)(0,\pi)).

Worked example

For what kk does f(x)=x3+x2+kxf(x)=x^3+x^2+kx have no local extremum?
Practice this conceptself-check · 4 quick reps

The same idea in a real exam question:

NDA · Sep 2021 · Q95Moderate

Example 4 · Application of Derivatives · Monotonicity, Extrema, and Critical Points

What is the condition that f(x)=x3+x2+kxf(x)=x^{3}+x^{2}+kx has no local extremum?

Count genuine SIGN-CHANGES of f′f', not just roots of f′f'

A root of f′f' is an extremum only if f′f' actually flips sign there. A repeated root (e.g. f′=(x−2)2f'=(x-2)^2) touches zero without changing sign — no extremum. For a cubic to have NO extremum, force f′f' (a quadratic) to have discriminant <0<0 so it never changes sign.

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Test yourself on Application of Derivatives

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