Unit 4, lesson 33

Extreme Values

The difference between global and local maxima and minima, where on a domain they can occur, and why critical points and endpoints are the places to look.

  • Theory part 65
  • Practice part 66
  • Extrema and Shape

Theory, part 65

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Practice, part 66

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The highest point of a mountain range and the top of a small hill on its slope are both peaks, but in different senses. One beats every other point. The other only beats the points near it. Calculus keeps these two ideas apart and asks where such peaks and valleys can hide on the graph of a function.

Key terms

Global maxima and minima

Definition Let ff have domain DD and let cc be in DD. Then ff has a global (or absolute) maximum at cc if f(c)≥f(x)f(c) \ge f(x) for every xx in DD, and a global (or absolute) minimum at cc if f(c)≤f(x)f(c) \le f(x) for every xx in DD.

In plain words A global maximum is the highest point of the whole graph and a global minimum is the lowest. A function may have neither.

Example For f(x)=x2f(x) = x^2 on D=[−1,2]D = [-1, 2], the global maximum is f(2)=4f(2) = 4 and the global minimum is f(0)=0f(0) = 0. On D=RD = \mathbb{R} the same formula has the global minimum 00 and no global maximum.

Local maxima and minima

Definition Let ff have domain DD and let cc be in DD. Then ff has a local (or relative) maximum at cc if there is a δ>0\delta > 0 such that f(c)≥f(x)f(c) \ge f(x) for every xx in DD with ∣x−c∣<δ\lvert x - c \rvert < \delta. A local minimum is defined the same way with f(c)≤f(x)f(c) \le f(x). Some books also require an open interval around cc to lie inside DD, which rules out local extrema at endpoints. Here endpoints are allowed.

In plain words A local maximum only has to beat its neighbors. Every global maximum is also a local one, but not the other way around.

Example For f(x)=x3−3xf(x) = x^3 - 3x on R\mathbb{R}, f(−1)=2f(-1) = 2 is a local maximum and f(1)=−2f(1) = -2 is a local minimum. Neither is global, since f(3)=18>2f(3) = 18 > 2 and f(−3)=−18<−2f(-3) = -18 < -2.

Extreme values

Definition A maximum or minimum value of ff, global or local, is called an extreme value or extremum (plural extrema). The extreme value is the number f(c)f(c), and cc is a point where it is attained. A global maximum value, when it exists, is unique, but it may be attained at many points.

In plain words Keep the value and the location apart. “The maximum is 1” names a height, while “the maximum occurs at x=π2x = \frac{\pi}{2}” names a place.

Example On R\mathbb{R}, sin⁡x\sin x has global maximum value 11, attained at every x=π2+2kπx = \frac{\pi}{2} + 2k\pi with kk an integer, and global minimum value −1-1.

Domain points and endpoints

Definition A point cc of the domain DD is an interior point if some open interval (c−δ,c+δ)(c - \delta, c + \delta) with δ>0\delta > 0 lies inside DD. For a domain that is an interval, an endpoint is a point of DD at the end of the interval, such as aa or bb in [a,b][a, b]. An endpoint is not an interior point.

In plain words At an interior point you can step a little left and a little right and stay in the domain. At an endpoint you can only go one way.

Example For f(x)=xf(x) = \sqrt{x} with domain [0,∞)[0, \infty), the point 00 is an endpoint and every c>0c > 0 is an interior point. The global minimum of x\sqrt{x} is at the endpoint 00, where the graph simply starts.

Extrema at endpoints

Definition An extreme value may occur at an endpoint of the domain, and there the derivative of ff (or its one-sided derivative) need not be 00. Endpoints must therefore always be checked as separate candidates.

In plain words A graph can reach its highest point simply because the domain ends there, while still climbing.

Example For f(x)=2x+1f(x) = 2x + 1 on [0,1][0, 1], the minimum 11 is at x=0x = 0 and the maximum 33 is at x=1x = 1. The derivative is 22 everywhere, never 00.

Critical points

Definition A critical point (or critical number) of ff is an interior point cc of the domain such that either f′(c)=0f'(c) = 0 or f′(c)f'(c) does not exist.

In plain words These are the interior places where the graph is flat or where it has a corner, cusp or vertical tangent. As the next lesson proves, an interior local extremum can occur only at a critical point.

Example For f(x)=x3−12x+1f(x) = x^3 - 12x + 1 the derivative f′(x)=3x2−12f'(x) = 3x^2 - 12 is zero at x=2x = 2 and x=−2x = -2, and these are the critical points. For f(x)=∣x∣f(x) = \lvert x \rvert, the derivative does not exist at 00, so 00 is a critical point.

Stationary and singular points

Definition A critical point cc is a stationary point if f′(c)=0f'(c) = 0, and a singular point if ff is not differentiable at cc.

In plain words At a stationary point the tangent line is horizontal. At a singular point there is no tangent slope at all. Either kind may or may not be an extremum.

Example For f(x)=x2/3f(x) = x^{2/3} the derivative is f′(x)=23x−1/3f'(x) = \frac{2}{3} x^{-1/3} for x≠0x \neq 0, and f′(0)f'(0) does not exist, so 00 is a singular point. It is a minimum, since x2/3≥0=f(0)x^{2/3} \ge 0 = f(0) for every xx. For f(x)=x3f(x) = x^3 the point 00 is stationary, yet ff has no extremum there because f(x)<0f(x) < 0 for x<0x < 0 and f(x)>0f(x) > 0 for x>0x > 0.

Extrema on open intervals

Definition A function defined on an open interval (a,b)(a, b) need not have a global maximum or minimum, even if it is continuous and bounded. If it does have a global extremum on (a,b)(a, b), that point is an interior point, so by Fermat’s theorem in the next lesson it is a critical point.

In plain words On an open interval the function can get closer and closer to a value without ever reaching it, because the point that would reach it has been left out.

Example On (−1,2)(-1, 2), f(x)=x2f(x) = x^2 has global minimum 00 at the critical point 00. It has no global maximum, since its values approach 44 as x→2−x \to 2^{-} but x=2x = 2 is not in the domain. On (0,1)(0, 1), g(x)=xg(x) = x has neither a maximum nor a minimum.

Check yourself

  1. Find all critical points of f(x)=x4−8x2f(x) = x^4 - 8x^2.
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The derivative is f′(x)=4x3−16x=4x(x−2)(x+2)f'(x) = 4x^3 - 16x = 4x(x - 2)(x + 2), which exists everywhere and is zero at x=−2x = -2, 00 and 22. These are all stationary points.

  1. Find the global maximum and minimum of f(x)=∣x−2∣f(x) = \lvert x - 2 \rvert on [0,5][0, 5], and say whether each occurs at an endpoint, a stationary point or a singular point.
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The minimum is 00 at x=2x = 2, a singular point. The maximum is 33 at the endpoint x=5x = 5, since f(0)=2<3f(0) = 2 < 3.

  1. Does f(x)=11+x2f(x) = \frac{1}{1 + x^2} have a global maximum on R\mathbb{R}? A global minimum?
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The global maximum is 11 at x=0x = 0, because 1+x2≥11 + x^2 \ge 1. There is no global minimum, since the values approach 00 as ∣x∣→∞\lvert x \rvert \to \infty but are always positive.

How this lesson connects

It also uses intervals and extrema.