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
Definition
On an interval: increasing; decreasing. Method: solve for the critical , split the line at those points, and test the sign of in each piece (a product like 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 for , set ; if (or ) and on , then there. So for (from , ), , . To COMPARE two numbers like and , find a function of one variable that produces both — is decreasing for , so , hence ; equivalently is increasing for with minimum at .
- Length of a monotone interval of a periodic function: and have period , so each run of increase or decrease lasts HALF a period, . Collapse first: decreases on intervals of length , not ; increases on intervals of length .
Worked example
Practice this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 1 · Application of Derivatives · Monotonicity, Extrema, and Critical Points
Monotonicity is decided by the sign of , not
Concept 2 of 4: Critical points and the derivative tests
Definition
Critical points: where (or undefined). First-derivative test: changes ⇒ local max; ⇒ local min. Second-derivative test: at a critical point, ⇒ local min, ⇒ local max, ⇒ inconclusive. A function can attain the same extreme value at two points (e.g. ).
Worked example
Practice this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 2 · Application of Derivatives · Monotonicity, Extrema, and Critical Points
is a MINIMUM, not a maximum
is NECESSARY, not sufficient, for an extremum
Concept 3 of 4: Greatest and least value on an interval
Definition
On : compute at every critical point inside, plus and ; 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
Practice this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 3 · Application of Derivatives · Monotonicity, Extrema, and Critical Points
On a closed interval, ALWAYS test the endpoints
Concept 4 of 4: Conditions for no extremum / counting extrema
Definition
- No extremum (cubic): is a quadratic; require discriminant so never changes sign (monotonic).
- Counting extrema: solve on the given domain and count the roots where actually changes sign (e.g. has several solutions in ).
Worked example
Practice this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 4 · Application of Derivatives · Monotonicity, Extrema, and Critical Points
Count genuine SIGN-CHANGES of , not just roots of
Summary — formulas & gotchas at a glance
A revision cheat-sheet for the formulas and gotchas above. Click any concept name to jump back to its full explanation.
Watch out for (5)
- Monotonicity is decided by the sign of , not→ Increasing and decreasing intervals
- is a MINIMUM, not a maximum→ Critical points and the derivative tests
- is NECESSARY, not sufficient, for an extremum→ Critical points and the derivative tests
- On a closed interval, ALWAYS test the endpoints→ Greatest and least value on an interval
- Count genuine SIGN-CHANGES of , not just roots of→ Conditions for no extremum / counting extrema
Test yourself on Application of Derivatives
15 past NDA questions from this chapter, timed at 19 minutes and marked the way the exam marks it. You see your score and every answer the moment you finish. Free to start.