MCV4U Applications of Derivatives & Curve Sketching
Grade 12 Unit 3 — practice questions with full solutions
Critical points, increasing and decreasing intervals, concavity, optimization and related rates — turning derivatives into information about shape and motion.
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- Critical points occur where f′(x) = 0.
- f′(x) = 3x2 − 6x − 9 = 3(x2 − 2x − 3) = 3(x − 3)(x + 1).
- So x = −1 and x = 3.
- Use the second derivative test: f″(x) = 6x − 6.
- f″(−1) = −12 < 0, so x = −1 is a local maximum; f(−1) = −1 − 3 + 9 + 5 = 10.
- f″(3) = 12 > 0, so x = 3 is a local minimum; f(3) = 27 − 27 − 27 + 5 = −22.
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- f′(x) = 3x2 − 12x + 9 = 3(x − 1)(x − 3).
- f′ is positive when both factors share a sign: x < 1 or x > 3, so the function increases there.
- f′ is negative between the roots, so the function decreases for 1 < x < 3.
- f″(x) = 6x − 12, which is zero at x = 2 and changes sign there.
- f(2) = 8 − 24 + 18 = 2, so the inflection point is (2, 2).
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- Let x be each of the two sides perpendicular to the river and y the side parallel to it.
- Fencing constraint: 2x + y = 240, so y = 240 − 2x.
- Area: A(x) = x(240 − 2x) = 240x − 2x2.
- A′(x) = 240 − 4x, which is zero at x = 60.
- A″(x) = −4 < 0, confirming a maximum.
- Then y = 240 − 120 = 120, and A = 60 × 120 = 7200 m2.
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- Volume of a sphere: V = 4⁄3πr3.
- Differentiate both sides with respect to time: dV⁄dt = 4πr2(dr⁄dt).
- Substitute dV⁄dt = 100 and r = 5: 100 = 4π(25)(dr⁄dt) = 100π(dr⁄dt).
- So dr⁄dt = 1 ÷ π ≈ 0.32 cm/s.
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- Velocity is the derivative of position: v(t) = 3t2 − 12t + 9 = 3(t − 1)(t − 3).
- (a) At rest means v = 0, so t = 1 s and t = 3 s.
- (b) Moving backward means v < 0, which happens between the roots: 1 < t < 3.
- (c) Acceleration is the derivative of velocity: a(t) = 6t − 12.
- a(2) = 12 − 12 = 0 m/s2 — the instant velocity is most negative.
MCV4U Applications of Derivatives & Curve Sketching — common questions
Short answers to the things students ask most about this unit.
How do I tell a local maximum from a local minimum?
Use the second derivative test: at a critical point, a negative second derivative means the curve is concave down and you have a local maximum; a positive one means concave up and a local minimum.
What is the usual method for an optimization question?
Write the quantity to be optimized as a function of one variable using the constraint, differentiate, set the derivative to zero, then confirm it is a maximum or minimum before answering in context.
The classes teach the method behind every one of these.
The solutions above show the steps. The classes teach how to think about the problem in the first place — interactive, and worked through at the student’s own pace. Try 3 complete classes free — no payment required to begin.
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