The Extreme Value Theorem says that if a function is continuous on a closed interval [a,b], then it must attain both an absolute maximum value and an absolute minimum value somewhere on that interval. These are also called global extrema. A local maximum is a value that is greater than nearby function values, while a local minimum is a value that is less than nearby function values. A point where a function may have a local maximum or minimum often occurs at a critical point, which is a point in the domain where f'(x)=0 or where f'(x) does not exist. This lesson is about distinguishing between global and local behavior and identifying the points where important changes can happen.
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Lesson PreviewLesson 2 of 12 in this unit
5.2 Extreme Value Theorem, Global Versus Local Extrema, and Critical Points
Part of Analytical Applications of Differentiation in AP® Calculus BC. Read the opening section, then create a free account for the full interactive lesson, practice, and progress tracking.
In this unit
12 lessons
- 5.1Using the Mean Value TheoremPreview lesson
- 5.2Extreme Value Theorem, Global Versus Local Extrema, and Critical PointsThis lesson
- 5.3Determining Intervals on Which a Function Is Increasing or DecreasingPreview lesson
- 5.4Using the First Derivative Test to Determine Relative (Local) ExtremaPreview lesson
- 5.5Using the Candidates Test to Determine Absolute (Global) ExtremaPreview lesson
- 5.6Determining Concavity of Functions over Their DomainsPreview lesson
- 5.7Using the Second Derivative Test to Determine ExtremaPreview lesson
- 5.8Sketching Graphs of Functions and Their DerivativesPreview lesson
- 5.9Connecting a Function, Its First Derivative, and Its Second DerivativePreview lesson
- 5.10Introduction to Optimization ProblemsPreview lesson
- 5.11Solving Optimization ProblemsPreview lesson
- 5.12Exploring Behaviors of Implicit RelationsPreview lesson
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