The math optional, made finite. Daily Practice

Maxima and minima of single-variable functions

At a Glance

Why This Chapter Matters

Single-variable optimisation appears in 6 of the last 13 years at 10–20 marks, almost entirely in Section A. The three archetypes rotate: applied optimisation (geometry and word problems reduced to one variable), critical-point analysis on FTC-defined integrals, and extrema on closed intervals. The applied-optimisation type dominates (4 of 7 questions, including the 20-mark 2024 question) and requires a clear geometric setup before any calculus. The FTC-based critical-point analysis (2020, 20 marks) is the hardest variant — it demands sign-table reasoning across four roots. The closed-interval extremum is the most mechanical: evaluate at critical points and both endpoints.

Minimum Theory

Critical points and the first-derivative test. f(c)=0f'(c)=0 (or f(c)f'(c) does not exist) at a critical point cc. If ff' changes from positive to negative at cc, then cc is a local maximum; negative to positive gives a local minimum.

Second-derivative test. If f(c)=0f'(c)=0 and f(c)<0f''(c)<0, then cc is a local maximum; f(c)>0f''(c)>0 gives a local minimum; f(c)=0f''(c)=0 is inconclusive.

Closed-interval extremum (Extreme Value Theorem). On [a,b][a,b], the absolute maximum and minimum are attained at either a critical point interior to (a,b)(a,b) or at an endpoint. Evaluate ff at all critical points in (a,b)(a,b) and at a,ba,b; the largest value is the maximum, the smallest is the minimum.

FTC-defined functions. If f(x)=axg(t)dtf(x)=\int_a^x g(t)\,dt, then by the FTC, f(x)=g(x)f'(x)=g(x). To find critical points of ff, solve g(x)=0g(x)=0; classify by the sign of gg (which is ff') on either side.

Applied optimisation — standard setup. Identify the quantity to optimise and the geometric/physical constraint; use the constraint to reduce to one variable; differentiate and solve; check endpoints and that the critical point is the correct type.

A smooth function with a local maximum at c_1 and a local minimum at c_2 on a closed interval [a,b]. At both critical points f'=0. The absolute maximum on [a,b] is at c_1; the absolute minimum is at b (an endpoint). The sign of f' (positive left of c_1, negative between c_1 and c_2, positive right of c_2) determines the nature of each critical point.

Question Archetypes

Three patterns cover every single-variable optimisation question in the corpus.

ArchetypeYou are seeing this when…
applied-optimizationa geometric/physical quantity to maximise or minimise; constraint eliminates one variable
critical-point-analysisf(x)=0xg(t)dtf(x)=\int_0^x g(t)\,dt; find critical points and classify them; count zeros
extrema-on-intervalfind the maximum and minimum of ff on a closed interval [a,b][a,b]

applied-optimization (4 question(s); 2014, 2018, 2024, 2025)

Recognition Cues

Solution Template

  1. Draw and label. Assign one free variable (e.g. radius rr or height hh).
  2. Write the constraint. Use similar triangles, Pythagoras, or the geometric relationship to express the other dimension in terms of the free variable.
  3. Express the objective function V(r)V(r) or D(r)D(r) in one variable.
  4. Differentiate and set to zero. Solve for the critical point(s).
  5. Confirm maximum via V<0V''<0 or endpoint values.
  6. State the answer (value of the optimised quantity and, if asked, the corresponding dimensions).

Worked Example(s)

2014 Paper 1, 2014-P1-Q3a (15 marks)

Find the height of the cylinder of maximum volume inscribed in a sphere of radius aa.

Let half-height be hh; base radius rr satisfies r2+h2=a2r^2+h^2=a^2. Volume V=πr22h=2πh(a2h2)V=\pi r^2\cdot2h=2\pi h(a^2-h^2).

V=2π(a23h2)=0h=a/3V'=2\pi(a^2-3h^2)=0\Rightarrow h=a/\sqrt3. V=12πh<0V''=-12\pi h<0: maximum.

Height=2h=2a3=2a33.\boxed{\text{Height}=2h=\frac{2a}{\sqrt3}=\frac{2a\sqrt3}{3}.}


2024 Paper 1, 2024-P1-Q3b (20 marks)

Find the volume of the greatest cylinder inscribed in a cone of height hh and semi-vertical angle α\alpha.

Cylinder radius rr, base at distance hHh-H from apex (where H=H= cylinder height). Similar triangles: r=Htanαr=H\tan\alpha… Let the cylinder top be at distance xx from the apex: r=xtanαr=x\tan\alpha, height =hx=h-x.

V=πr2(hx)=π(xtanα)2(hx)=πtan2α(hx2x3)V=\pi r^2(h-x)=\pi(x\tan\alpha)^2(h-x)=\pi\tan^2\alpha\,(hx^2-x^3).

dV/dx=πtan2α(2hx3x2)=0dV/dx=\pi\tan^2\alpha(2hx-3x^2)=0 at x=2h/3x=2h/3.

H=h2h/3=h/3H^*=h-2h/3=h/3. r=2h3tanαr^*=\tfrac{2h}{3}\tan\alpha.

V=πtan2α4h29h3=4πh3tan2α27.V^*=\pi\tan^2\alpha\cdot\frac{4h^2}{9}\cdot\frac{h}{3}=\boxed{\frac{4\pi h^3\tan^2\alpha}{27}.}

Note: cylinder height is always h/3h/3, independent of α\alpha.


2018 Paper 1, 2018-P1-Q2b (13 marks)

Find the shortest distance from (1,0)(1,0) to the parabola y2=4xy^2=4x.

Parametrise: points on y2=4xy^2=4x are (t2,2t)(t^2,2t). Squared distance: D(t)=(t21)2+4t2=(t2+1)2D(t)=(t^2-1)^2+4t^2=(t^2+1)^2. Minimised at t=0t=0 giving Dmin=1D_{\min}=1.

Shortest distance=1, attained at the vertex (0,0).\boxed{\text{Shortest distance}=1,\text{ attained at the vertex }(0,0).}

The perfect-square collapse (t21)2+4t2=(t2+1)2(t^2-1)^2+4t^2=(t^2+1)^2 is the key insight; (1,0)(1,0) is the focus.


2025 Paper 1, 2025-P1-Q1c (10 marks)

Rectangular sheet 6×26\times2 m; equal squares cut from corners; fold to open box. Find height for maximum volume.

Height =x=x; base =(62x)×(22x)=(6-2x)\times(2-2x). V=4x316x2+12xV=4x^3-16x^2+12x, 0<x<10<x<1.

V=12x232x+12=0x=(4±7)/3V'=12x^2-32x+12=0\Rightarrow x=(4\pm\sqrt7)/3. Only x=(47)/30.45x=(4-\sqrt7)/3\approx0.45 m lies in (0,1)(0,1). V<0V''<0: maximum.

Common Traps


critical-point-analysis (1 question(s); 2020)

Recognition Cues

Solution Template

  1. f=gf'=g by FTC. Write out g(x)g(x) and factor into linear (or simple quadratic) terms.
  2. Sign table of ff'. Identify all roots; determine the sign of ff' in each interval between roots.
  3. Classify. Local max at each ++\to- sign change; local min at each +-\to+ change.
  4. Zeros of ff. Compute ff at all critical points and endpoints; check whether ff returns to zero.

Worked Example(s)

2020 Paper 1, 2020-P1-Q3a (20 marks)

f(x)=0x(t25t+4)(t25t+6)dtf(x)=\int_0^x(t^2-5t+4)(t^2-5t+6)\,dt. (i) critical points; (ii) local minima; (iii) local maxima; (iv) number of zeros on [0,5][0,5].

f(x)=(x1)(x2)(x3)(x4)f'(x)=(x-1)(x-2)(x-3)(x-4) (factor each quadratic).

Sign table (alternating from + for x<1x<1): +,,+,,++,-,+,-,+.

f(0)=0f(0)=0; f(1)7.87f(1)\approx7.87 (local max); f(2)7.73f(2)\approx7.73 (local min); f(3)8.10f(3)\approx8.10 (local max); f(4)7.47f(4)\approx7.47 (local min); f(5)15.83f(5)\approx15.83.

Both local minima are >0>0, so f>0f>0 on (0,5](0,5].

Exactly 1 zero on [0,5] (at x=0).\boxed{\text{Exactly 1 zero on }[0,5]\text{ (at }x=0\text{).}}

Common Traps


extrema-on-interval (2 question(s); 2018, 2019)

Recognition Cues

Solution Template

  1. Find f(x)f'(x) and solve f(x)=0f'(x)=0.
  2. Discard critical points outside [a,b][a,b].
  3. Evaluate ff at all remaining critical points and at aa and bb.
  4. Report the largest value as the maximum and the smallest as the minimum, with their locations.

Worked Example(s)

2019 Paper 1, 2019-P1-Q3a (15 marks)

Find the maximum and minimum of f(x)=2x39x2+12x+6f(x)=2x^3-9x^2+12x+6 on [2,3][2,3].

f=6(x1)(x2)=0f'=6(x-1)(x-2)=0 at x=1,2x=1,2. On [2,3][2,3]: only x=2x=2 (left endpoint) qualifies.

For x(2,3)x\in(2,3): f>0f'>0 (both factors positive), so ff is strictly increasing.

f(2)=1636+24+6=10f(2)=16-36+24+6=10; f(3)=5481+36+6=15f(3)=54-81+36+6=15.

Min=10 at x=2;Max=15 at x=3.\boxed{\text{Min}=10\text{ at }x=2;\quad\text{Max}=15\text{ at }x=3.}


2018 Paper 1, 2018-P1-Q4a (13 marks)

Find max and min of f(x)=x45x2+4f(x)=x^4-5x^2+4 on [2,3][2,3].

f=4x310x=2x(2x25)=0f'=4x^3-10x=2x(2x^2-5)=0 at x=0,±5/2±1.58x=0,\pm\sqrt{5/2}\approx\pm1.58. None lie in (2,3)(2,3).

For x[2,3]x\in[2,3]: f(2)=3220=12>0f'(2)=32-20=12>0, so ff is increasing on [2,3][2,3].

f(2)=1620+4=0f(2)=16-20+4=0; f(3)=8145+4=40f(3)=81-45+4=40.

Min=0 at x=2;Max=40 at x=3.\boxed{\text{Min}=0\text{ at }x=2;\quad\text{Max}=40\text{ at }x=3.}

Common Traps

Practice Set

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