Extreme Value Theorem, Global vs Local Extrema, and Critical Points

Abigail Young
7 min read
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Study Guide Overview
This study guide covers the Extreme Value Theorem, differentiating between global and local extrema, and identifying critical points. It explains how to apply the Extreme Value Theorem to continuous functions on closed intervals. The guide also discusses finding critical points by checking where the derivative is zero or undefined. Practice problems involving identifying critical points and extrema from graphs, and applying the Extreme Value Theorem are included.
#5.2 Extreme Value Theorem, Global vs Local Extrema, and Critical Points
Welcome back to AP Calculus with Fiveable! This topic focuses on extrema in an interval. Letβs dive right into the world of extreme values, both global and local, and the crucial concept of critical points. π
#π’ Extreme Value Theorem
Let's start with the Extreme Value Theorem. The College Board AP Calculus Exam description states that a function defined on a closed interval must have both a maximum and minimum value within that interval. This is known as the Extreme Value Theorem, and it holds true if the function is continuous over the given interval . Check out this Fiveable guide to review continuity: Confirming Continuity over an Interval.
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Graph of function with max and min value
Graph created with Virtual Graph Paper
To apply this theorem effectively, think of the function as a roller coaster. As long as the roller coaster is continuous without any breaks or disruptions (discontinuities), you can expect it to have both a highest peak (maximum) and a lowest dip (minimum) somewhere along the ride. π’
#π Global Versus Local Extrema
Now, let's explore the difference between global and local extrema. Global extrema are the absolute maximum and minimum values of a function over its entire domain. We can identify these points because they are the absolute highest or lowest points when considering the function as a whole.
π Local extrema, on the other hand, focus on specific regions or intervals within the function. Thes...

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