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AP® Calculus AB · Unit 5 · Topic 5.10

Introduction to Optimization Problems: Revision Notes (Calculus AB 5.10)

One-page recap of optimization: the shared skeleton of quantity, constraint and interval, the eight-step method, how to prove an extreme value and the mistakes that cost marks.

Short on time? This page is the recap. For explanations, diagrams and worked examples, use the full study guide. This topic is shared by Calculus AB and Calculus BC.

Recap

  • An optimization problem asks for the largest or smallest value of one quantity on an interval.
  • Every problem has the same skeleton: quantity to optimise, constraint, interval.
  • The constraint lets you write the quantity as a function of one variable. Only then differentiate.
  • At an interior maximum or minimum of a differentiable function, the derivative is 0. So the search starts with critical points.
  • Then prove which critical point gives the extreme value, and answer exactly what was asked (value, location or both).

Key relationships

Situation How to prove the extreme value
Continuous function on a closed interval [a, b] Candidates test: evaluate at every critical point and both endpoints; largest is the maximum, smallest is the minimum
Open interval, exactly one critical point c First derivative test (sign change of f′ at c) or second derivative test (sign of f″(c)), then “only critical point, so absolute”
Open interval, several critical points Compare values, and check behaviour near the ends of the interval

The method in eight steps: name the quantity → diagram and letters → formula → use constraint → interval → critical points → prove → answer.

Assumptions behind the method

  • The function is continuous on the interval (true for polynomials and for rational functions away from zeros of the denominator).
  • The interval comes from the situation: lengths positive, times within the model’s range.
  • The single-critical-point argument needs the function to be continuous on an interval with only one critical point.

Mistakes to avoid

  1. Differentiating a formula that still has two variables.
  2. Stopping at f′(x) = 0 without showing it is a maximum (or minimum).
  3. Forgetting endpoints on a closed interval.
  4. Calling a relative extremum absolute without the single-critical-point reason or a comparison.
  5. Answering with the location when the question asks for the value.
  6. Keeping a critical point outside the interval, such as a negative length.

Quick self-check

  1. Find the maximum and minimum values of f(x) = x³ − 12x on [0, 3]. (f′ = 3x² − 12 = 0 at x = 2 in the interval. f(0) = 0, f(2) = −16, f(3) = −9. Maximum 0 at x = 0; minimum −16 at x = 2.)
  2. Two numbers add to 20. What is the largest possible product? (P = x(20 − x), P′ = 20 − 2x = 0 at x = 10, P″ = −2 < 0, only critical point: maximum product 100.)
  3. On an open interval, g′(c) = 0 and g″(c) < 0. Why is that not yet enough to say g has its absolute maximum at c? (It only shows a relative maximum. You also need c to be the only critical point in the interval, or a comparison of values.)

Next: practice questions.

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