AP Calc AB · Chapter 5 of 8

Analytical Applications of Differentiation

Analyze function behavior using first and second derivatives, then solve optimization and curve-analysis problems.

Why this chapter matters

Derivative tests turn symbolic expressions into decisions about increase, decrease, extrema, and shape.

What you will learn

  • Find intervals of increase and decrease using first-derivative sign analysis.
  • Classify local extrema and concavity with derivative tests.
  • Solve optimization problems with clear constraints and interpretations.

Lessons in this chapter

  1. Critical points and first derivative testLocate and classify potential extrema from derivative behavior.
  2. Concavity and second derivative testIdentify concavity changes and possible inflection points.
  3. Optimization from contextWrite objective and constraint equations before differentiating. Read the full guide →
  4. Curve sketching with derivative evidenceCombine intercepts, asymptotes, monotonicity, and concavity into one graph story.

Study task

Design an open-top box from a rectangular sheet by cutting equal corner squares. Build and optimize the volume model.

Chapter checkpoint

For f(x) = x^3 - 3x, where are the critical points and what type are they?

f'(x) = 3x^2 - 3 = 3(x - 1)(x + 1), so critical points are x = -1 and x = 1. At x = -1, f changes from increasing to decreasing (local max). At x = 1, f changes from decreasing to increasing (local min).