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Absolute Maxima and Minima
A common problem is to find the largest or smallest value of something, usually subject to certain conditions. The “something” will be modelled by a function f (x); here is a precise definition of what I mean by “largest” and “smallest”.
Suppose c is a point in the domain of a function f (x). Then:
- An absolute maximum occurs at c if f (x) ≤ f (c) for all x in the domain of f.
- An absolute minimum occurs at c if f (x) ≥ f (c) for all x in the domain of f.
Sometimes it’s important to consider points which are only largest or smallest in small parts of a graph.
- A relative (or local) maximum occurs at c if f (x) ≤ f (c) for all x in an open interval containing c.
- A relative (or local) minimum occurs at c if f (x) ≥ f (c) for all x in an open interval containing c.
If a local max is like being the toughest guy on your block, an absolute max is like being the toughest guy in the world.
Local maxima and minima are important in graphing functions, among other things. However, today I’ll concentrate on absolute maxima and minima. I’ll begin by looking at some pictorial examples.
11 42
f(x)
absolute max at x = 42 absolute min at x = 11
-4 13
f(x)
absolute max at x = − 4 absolute min at x = 13
1 2 5
f(x) absolute max at x = 1 absolute min at x = 2 endpoint max at x = 5
-3 4 10 97
f(x)
absolute max at x = 4 absolute min at x = 10 endpoint max at x = 97 endpoint min at x = − 3
f(x)
a hole in the graph
-1 4 6
absolute max at x = − 1 no absolute min endpoint max at x = 6
Where can you expect an absolute max or min to occur? Here’s a reasonable guess based on the examples above. I’ll assume that I’m looking at a function that is continuous on a closed interval, so the secon observation guarantees that I have an absolute max and an absolute min.
Theorem. For a continuous function on a closed interval, an absolute max or min can occur at:
- A critical point for f (x) — that is, a value c in the domain of f where f ′(c) is undefined or f ′(c) = 0.
- An endpoint of the interval.
Proof. I’ll give a sketch of the proof of this result. Assume that f is continuous on an interval a ≤ x ≤ b and differentiable on a < x < b. Suppose that c is a max or a min, but c is not an endpoint (a or b) or a place where f ′^ is undefined. I’ll show that f ′(c) = 0. If f ′(c) 6 = 0, then it’s either positive or negative. Assume f ′(c) > 0 — the argument if f ′(c) < 0 is similar. Recall that f ′(c) = lim x→c
f (x) − f (c) x − c
This means that lim x→c
f (x) − f (c) x − c
− f ′(c)
Another way of saying this is that I can make
f (x) − f (c) x − c
− f ′(c)
∣ as small as I want by making^ x
sufficiently close to c. So make x close enough to c so that
∣ ∣ ∣ ∣
f (x) − f (c) x − c
− f ′(c)
∣ <^
f ′(c).
Writing this absolute value inequality as a pair of inequalities, I have
f ′(c) <
f (x) − f (c) x − c
− f ′(c) <
f ′(c)
1 2 f ′(c) <
f (x) − f (c) x − c
f ′(c)
I got the second set of inequalities by adding
f ′(c) to each term of the first.
Now f ′(c) > 0, so the last set of inequalities has
f (x) − f (c) x − c
caught between two positive numbers.
Therefore,
f (x) − f (c) x − c
must be positive. Therefore, the top and bottom of this fraction are either both
positive or both negative. If x > c — that is, x is to the right of c — then x − c is positive, so f (x) − f (c) > 0, and f (x) > f (c). In other words, the function f increases as you move from c to the right. Since there are bigger values of f to the right of c, it means that c can’t be a max. If x < c — that is, x is to the left of c — then x − c is negative, so f (x) − f (c) < 0, and f (x) < f (c). In other words, the function f decreases as you move from c to the left. Since there are smaller values of f to the left of c, it means that c can’t be a min. But now I’m stuck, because I assumed that c was either a max or a min. The only possibility is that my assumption that f ′(c) 6 = 0 was incorrect. So indeed, f ′(c) = 0.
This leads to the following procedure for finding the absolute max or min of a function f (x) on a closed interval a ≤ x ≤ b:
- Locate the critical points of f which lie in the interval.
- Plug the critical points and the endpoints of the interval into f.
- The largest values of f correspond to the absolute maxima; the smallest values of f correspond to the absolute minima.
(A remark for people who know some calculus: Do not confuse this with the First or Second Derivative test! You plug the candidate points into f (x), not into f ′(x) or f ′′(x).)
Example. Find the absolute max and absolute min of f (x) = x^2 for:
(a) − 1 ≤ x ≤ 2.
(b) − 2 ≤ x ≤ 2.
(c) 1 ≤ x ≤ 3.
(a) First, I’ll find the critical points. f ′(x) = 2x, so f ′(x) = 0 for x = 0. Note that x = 0 lies in the interval − 1 ≤ x ≤ 2. There are no values of x for which f is undefined. The endpoints are x = −1 and x = 2. I plug x = 0, x = −1, and x = 2 into f (x):
x − 1 0 2 f (x) 1 0 4 absolute min absolute max
(b) For − 2 ≤ x ≤ 2, x = 0 is the only critical point, and it’s in the interval − 2 ≤ x ≤ 2. The endpoints are x = −2 and x = 2.
x − 2 0 2 f (x) 4 0 4 absolute max absolute min absolute max
Here is a case where two points are “tied” for absolute max.
(c) For 1 ≤ x ≤ 3, x = 0 is a critical point, but it is not in the interval 1 ≤ x ≤ 3. Therefore, it doesn’t count. The endpoints are x = 1 and x = 3.
x 1 3 f (x) 1 9 absolute min absolute max
Let me repeat the warning, since it sometimes trips people up: If a critical point is not in the interval under consideration, it is not tested. Finally, notice that I used the same function f (x) = x^2 in these three examples, but the answers were different. The interval under consideration is important — it determines which critical points are to be tested, and it contributes its endpoints as candidates.
Example. Find the absolute maximum and absolute minimum of f (x) = 2x^3 − 9 x^2 − 24 x + 2 on the interval 0 ≤ x ≤ 5.
Now I plug the critical pints and the endpoints into f :
x − 1 0 3 5 f (x) 5. 1 0 5. 61623 4. 38603 absolute min absolute max
Notice that if I’d forgotten to check for places where f ′(x) is undefined, I would have missed the absolute min!
Example. Find the largest and smallest values of
f (x) =
x^7 /^3 − 3 x^1 /^3 for − 2 ≤ x ≤ 8.
The endpoints are −2 and 8. The derivative is f ′(x) = x^4 /^3 − x−^2 /^3. I write the negative power as a fraction, combine fractions over a common denominator, then factor:
f ′(x) = x^4 /^3 − x−^2 /^3 = x^4 /^3 −
x^2 /^3
= x^4 /^3 ·
x^2 /^3 x^2 /^3
x^2 /^3
x^2 x^2 /^3
x^2 /^3
x^2 − 1 x^2 /^3
(x − 1)(x + 1) x^2 /^3
f ′(x) = 0 for x = 1 and for x = −1. f ′(x) is undefined at x = 0; since f (0) is defined, x = 0 is a critical point. Since −1, 0, and 1 are in the interval − 2 ≤ x ≤ 8, all of them must be tested.
x − 2 8 − 1 0 1 f (x) 1. 61990 48. 85714 2. 57143 0 − 2. 57143
The absolute max is at x = 8 and the absolute min is at x = 1.
Example. Let f (x) = −
x
x^2
3 x^3
. Find the absolute max and the absolute min of f on the interval
1 ≤ x ≤ 6.
Note that f (x) = −x−^1 − 2 x−^2 +
x−^3.
So
f ′(x) = x−^2 + 4x−^3 − 32 x−^4 =
x^2
x^3
x^4
x^2
x^2 x^2
x^3
x x
x^4
x^2 + 4x − 32 x^4
(x + 8)(x − 4) x^4
f ′(x) = 0 for x = −8 and x = 4, but only x = 4 is in the interval 1 ≤ x ≤ 6. While f ′(x) is undefined at x = 0, this is not a critical point since f (0) is undefined — and in any case, it is not in the interval 1 ≤ x ≤ 6.
x 1 4 6 f (x) 7. 66666... − 0. 20833... − 0. 17283... max min
©^ c2018 by Bruce Ikenaga 7
