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Extreme Value Theorem,
Extrema & Critical Points

Master the Extreme Value Theorem, distinguish global vs. local extrema, and learn how critical points unlock the behavior of any continuous function.

AP Calculus AB

What Are Extrema?

In calculus, extrema are the largest and smallest values a function attains. They come in two flavors: maximum values (peaks) and minimum values (valleys). Extrema tell us about the most extreme behavior of a function on a given domain.

Global vs. Local Extrema

Global (Absolute)
The single largest or smallest value of \( f(x) \) on the entire domain. There can be at most one global max value and one global min value (though they may occur at multiple points).
Local (Relative)
A value \( f(c) \) that is larger or smaller than all nearby values. A function can have many local maxima and minima. Every global extremum is also a local extremum.

Visualizing Extrema on a Graph

x y Global Min Local Max Local Min Local Min Global Max a b closed interval \([a, b]\)

The Extreme Value Theorem

This theorem guarantees that extrema exist. It does not tell us where they are or how to find them: that is the job of critical points and endpoint evaluation.

Continuous
No jumps, holes, or asymptotes on \([a,b]\).
Closed Interval
Both endpoints \(a\) and \(b\) are included: \([a,b]\), not \((a,b)\).

Why Both Conditions Matter

Not Continuous?
Consider a function with a jump discontinuity on \([0,2]\). The function may miss achieving its "would-be" maximum.
Not Closed?
Consider \( f(x) = x \) on \((0,1)\). The function approaches 1 but never reaches it: no absolute maximum exists.

What Is a Critical Point?

\( f'(c) = 0 \)
The tangent line is horizontal. The function has a flat spot: a potential peak or valley.
\( f'(c) \) DNE
A cusp, corner, or vertical tangent. The slope is undefined, but extrema can still occur here.

Critical Points on a Graph

x y \( f'(c)=0 \) \( f'(c)=0 \) \( f'(c) \) DNE

Critical Point vs. Extremum

Critical Point Extremum
Definition \( f'(c) = 0 \) or \( f'(c) \) DNE Largest/smallest value in a region
Always an extremum? No: e.g., \( f(x)=x^3 \) at \( x=0 \) Yes (by definition)
Can occur at endpoints? Typically interior points only Yes: endpoints can be global extrema
Role in the Closed Interval Method Candidate locations to check The final answer after comparison

Fermat's Theorem

Fermat's Theorem tells us where to look. If a local max or min happens inside the interval, the derivative must be zero there (or must not exist). This is why we hunt for critical points: they are the only places interior extrema can hide.

The Closed Interval Method

1
Verify continuity on \([a,b]\). The EVT must apply.
2
Find all critical points in \((a,b)\): solve \( f'(x) = 0 \) and identify where \( f'(x) \) does not exist.
3
Evaluate \( f \) at each critical point and at both endpoints \( a \) and \( b \).
4
Compare values. The largest is the absolute maximum; the smallest is the absolute minimum.

Example 1: \( f(x) = x^3 - 3x + 1 \) on \([-2, 2]\)

1
Continuous? Yes: polynomial, continuous everywhere.
2
Critical points: \( f'(x) = 3x^2 - 3 = 3(x-1)(x+1) = 0 \). So \( x = -1 \) and \( x = 1 \).
3
Evaluate: \( f(-2) = -1 \), \( f(-1) = 3 \), \( f(1) = -1 \), \( f(2) = 3 \).
4
Compare: Absolute max = 3 at \( x = -1 \) and \( x = 2 \). Absolute min = \(-1\) at \( x = -2 \) and \( x = 1 \).

Example 1: Graph

Example 2: \( g(x) = x^{2/3} \) on \([-1, 8]\)

1
Continuous? Yes: \( x^{2/3} \) is continuous on \([-1, 8]\).
2
Derivative: \( g'(x) = \frac{2}{3}x^{-1/3} = \frac{2}{3\sqrt[3]{x}} \). This is never zero, but \( g'(0) \) does not exist. So \( x = 0 \) is a critical point.
3
Evaluate: \( g(-1) = 1 \), \( g(0) = 0 \), \( g(8) = 4 \).
4
Compare: Absolute max = 4 at \( x=8 \). Absolute min = 0 at \( x=0 \) (the cusp).

Example 3: \( h(x) = \sin(x) + \cos(x) \) on \([0, 2\pi]\)

1
Continuous? Yes: trigonometric functions are continuous everywhere.
2
Derivative: \( h'(x) = \cos(x) - \sin(x) = 0 \) when \( \sin(x) = \cos(x) \), i.e., \( x = \frac{\pi}{4} \) and \( x = \frac{5\pi}{4} \).
3
Evaluate: \( h(0) = 1 \), \( h(\pi/4) = \sqrt{2} \approx 1.414 \), \( h(5\pi/4) = -\sqrt{2} \approx -1.414 \), \( h(2\pi) = 1 \).
4
Compare: Abs. max = \( \sqrt{2} \) at \( x = \pi/4 \). Abs. min = \( -\sqrt{2} \) at \( x = 5\pi/4 \).

Common Mistakes

✕ Forgetting Endpoints
Absolute extrema can occur at endpoints, not just at critical points. Always evaluate \( f(a) \) and \( f(b) \).
✕ Only Checking \( f'(x)=0 \)
Critical points also include where \( f'(x) \) does not exist (cusps, corners, vertical tangents). Don't skip these.
✕ Assuming All Critical Points Are Extrema
A critical point can be an inflection point (e.g., \( f(x) = x^3 \) at \( x=0 \)). Always compare values to confirm.

Summary Table

Concept Key Idea Remember
EVT Continuous + closed interval → extrema guaranteed Both conditions required
Global Extrema Largest/smallest on entire domain Check endpoints + critical pts
Local Extrema Largest/smallest in a neighborhood Occur at critical points (interior)
Critical Points \( f'(c)=0 \) or \( f'(c) \) DNE Candidates, not guarantees
Fermat's Theorem Interior extremum → \( f'(c)=0 \) Converse is false

Question 1 of 5

The Extreme Value Theorem guarantees that a function has both an absolute maximum and an absolute minimum on an interval provided that:

Question 2 of 5

Find all critical points of \( f(x) = 2x^3 - 9x^2 + 12x \).

Question 3 of 5

What is the absolute maximum value of \( f(x) = x^3 - 3x \) on \([-2, 3]\)?

Question 4 of 5

If \( f(x) = |x - 2| \) on \([0, 5]\), which statement about critical points is true?

Question 5 of 5

The function \( f(x) = x^3 \) has \( f'(0) = 0 \). What type of point is \( x = 0 \)?