Curve Sketching — Maxima, Minima and End Behaviour
Key Terms
- Full curve sketching method (5 steps)
- :
- 1. y-intercept: set x = 0, find f(0).
- 2. x-intercepts: solve f(x) = 0 (factorise or use known factors).
- 3. Stationary points: solve f′(x) = 0, find y-values, classify using first derivative test.
- 4. End behaviour: determine behaviour as x → +∞ and x → −∞ using the leading term.
- 5. Sketch: plot all key points and draw a smooth curve consistent with all features.
- End behaviour rules (leading term a·xn)
- :
- — Even n, a > 0: y → +∞ both ends (U-shape).
- — Even n, a < 0: y → −∞ both ends (∩-shape).
- — Odd n, a > 0: y → −∞ as x → −∞, y → +∞ as x → +∞.
- — Odd n, a < 0: y → +∞ as x → −∞, y → −∞ as x → +∞.
- Optimisation steps
- : (1) define the variable; (2) write the objective function; (3) differentiate; (4) solve f′ = 0; (5) verify max/min using first derivative test; (6) state the answer with units.
On a closed interval [a, b], the global maximum/minimum could be at a stationary point or at an endpoint. Always check all candidate points: stationary points in (a, b) and both endpoints.
Worked Example — Full Curve Sketch of y = x³ − 3x²
Step 1 — y-intercept: f(0) = 0. Point: (0, 0).
Step 2 — x-intercepts: x³ − 3x² = x²(x − 3) = 0 → x = 0 (double root) or x = 3. Intercepts at x = 0 and x = 3.
Step 3 — Stationary points: f′(x) = 3x² − 6x = 3x(x − 2) = 0 → x = 0 or x = 2.
f(0) = 0; f(2) = 8 − 12 = −4.
Sign test: f′(−1) = 9 > 0; f′(1) = −3 < 0; f′(3) = 9 > 0.
x = 0: +→− → local max at (0, 0). x = 2: −→+ → local min at (2, −4).
Step 4 — End behaviour: Leading term x³: y → −∞ as x → −∞; y → +∞ as x → +∞.
Step 5 — Sketch: See graph above.
Introduction: Putting It All Together
Curve sketching is the synthesis of all differentiation skills: you use intercepts, stationary points, classification, and end behaviour to produce an accurate, labelled sketch without plotting dozens of individual points. A good sketch communicates the essential shape and all key features of the curve.
The 5-Step Curve Sketching Method
- y-intercept: substitute x = 0 into f(x).
- x-intercepts: solve f(x) = 0 (factorise completely if possible). Note the multiplicity of roots — a double root means the curve touches the x-axis, not crosses it.
- Stationary points: differentiate, set f′(x) = 0, find y-values, classify by the first derivative test.
- End behaviour: use the leading term only to determine what happens as x → ±∞.
- Sketch: connect all key points with a smooth curve, consistent with end behaviour, stationary points, and intercepts.
Optimisation Problems
Many real-world problems ask us to maximise or minimise a quantity. The calculus approach is systematic:
- Define a variable: choose a single variable to express the unknown.
- Write the objective function: express the quantity to optimise (e.g. area, volume, profit) as a function of that variable.
- State the domain: what are the valid values of the variable?
- Differentiate and solve: set f′ = 0.
- Verify: use the first derivative test (or check endpoints on a closed domain).
- Answer: state with units.
A farmer has 120 m of fencing to enclose a rectangular paddock against a straight river (no fence needed on the river side). Find the dimensions that maximise the area.
Step 1: Let x = width (m) of paddock (two sides parallel to river). Then length = 120 − 2x.
Step 2: A(x) = x(120 − 2x) = 120x − 2x². Domain: 0 < x < 60.
Step 3: A′(x) = 120 − 4x. Set to zero: 120 − 4x = 0 → x = 30.
Step 4: A′(20) = 40 > 0; A′(40) = −40 < 0. Sign changes +→− → local maximum.
Answer: Width = 30 m, length = 60 m. Maximum area = 30 × 60 = 1800 m².
A box is made by cutting squares of side x from the corners of a 20 × 20 cm sheet and folding up the sides. Find x to maximise the volume.
Step 1: After cutting: base = (20−2x) × (20−2x), height = x. Domain: 0 < x < 10.
Step 2: V(x) = x(20−2x)² = x(400 − 80x + 4x²) = 4x³ − 80x² + 400x.
Step 3: V′(x) = 12x² − 160x + 400 = 4(3x² − 40x + 100) = 4(3x − 10)(x − 10).
Step 4: V′ = 0 at x = 10⁄3 ≈ 3.33 or x = 10 (boundary). Since 0 < x < 10, use x = 10⁄3.
Verify: V′(1) = 4(3−10)(1−10) = 4(−7)(−9) = 252 > 0; V′(5) = 4(15−10)(5−10) = 4(5)(−5) = −100 < 0. Maximum at x = 10⁄3.
Answer: Cut squares of side 10⁄3 cm (approx. 3.33 cm) for maximum volume.
Summary
Curve sketching uses intercepts, stationary points, classification, and end behaviour to produce a complete picture of a function. Optimisation applies the same calculus tools to real-world problems: define a variable, write the objective function, differentiate, solve, verify, and interpret.
Mastery Practice
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Fluency
Use the 5-step method to sketch y = x³ − 3x². Label all intercepts and stationary points with coordinates.
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Fluency
Use the 5-step method to sketch y = −x³ + 4x. Label all intercepts and stationary points with coordinates.
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Fluency
Determine the end behaviour (state what y approaches as x → +∞ and as x → −∞) for each function.
- (a) y = 2x4
- (b) y = −3x³
- (c) y = x5 − 2x
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Understanding
Complete a full sketch of f(x) = x4 − 8x² + 7, labelling all x-intercepts, the y-intercept, and all stationary points.
Hint: For x-intercepts, try factorising as a quadratic in x². -
Understanding
A rectangular paddock is to be fenced on 3 sides using 120 m of fencing (the fourth side is a river and needs no fence). Find the dimensions that maximise the enclosed area, and state the maximum area.
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Understanding
A box with no lid is made by cutting equal squares of side x cm from the corners of a 20 × 20 cm square sheet and folding up the sides.
- (a) Show that the volume is V(x) = 4x³ − 80x² + 400x.
- (b) Find the value of x that maximises V.
- (c) Find the maximum volume.
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Understanding
The function f(x) = x³ + ax² − 9x + b has a stationary point at (1, −5).
- (a) Find the values of a and b.
- (b) Find the other stationary point.
- (c) Classify both stationary points.
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Problem Solving
A company’s weekly profit (in thousands of dollars) from producing x hundred items is P(x) = −x³ + 15x² − 48x − 10, for 0 ≤ x ≤ 10.
- (a) Find all stationary points of P in the domain.
- (b) Find the maximum profit and the production level that achieves it.
- (c) Check the endpoints x = 0 and x = 10 to confirm your answer is the global maximum.
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Problem Solving
A closed cylinder has radius r cm and height h cm with volume 100π cm³.
- (a) Express h in terms of r using the volume constraint.
- (b) Show that the total surface area is S = 2πr² + 200π⁄r.
- (c) Find the value of r that minimises S and find the minimum surface area.
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Problem Solving
Two positive numbers sum to 12. Find the values of the two numbers that minimise the sum of their squares.