Analytical Applications of Differentiation
Derivative signs turn local slope information into interval-wide conclusions about increase, decrease, extrema, and concavity. The Mean Value and Extreme Value Theorems explain when key behaviors must occur.
- Exam weight
- 15–18%
- Topic reviews
- 12
Introduction
Derivative signs turn local slope information into interval-wide conclusions about increase, decrease, extrema, and concavity. The Mean Value and Extreme Value Theorems explain when key behaviors must occur.
First- and second-derivative tests classify candidates only under their stated conditions. A zero derivative is evidence to investigate, not a conclusion by itself.
Optimization applies the same analysis to a modeled objective on a feasible domain. Implicit relations require additional care because one input can lie on multiple branches.
Using the Mean Value Theorem
When must a curve contain a tangent parallel to its endpoint secant?
If the function is continuous on the closed interval and differentiable inside it, the Mean Value Theorem guarantees at least one matching tangent slope.