Exercise 6.3 · Q4: Why , and have no maxima or minima
4. Prove that the following functions do not have maxima or minima:
(i) (ii) (iii)
At a point of local maxima or minima of a differentiable function, its derivative is .
(i) for all , so at every point.
So has no maxima or minima.
(ii) On , , so at every point.
So has no maxima or minima.
(iii) . Its discriminant is and its leading coefficient is positive, so for all .
So has no maxima or minima.
Want the reason behind every step, the basics and the checks?
Theorem 2 says: at a point of local maxima or minima inside an open interval, the derivative is zero or does not exist. All three functions are differentiable everywhere on their domains, and their derivatives are never zero (in fact always positive). So there is no point at which a maximum or minimum could sit. A maximum or minimum value over the whole domain would also be a local one, because the domain is open, so those are ruled out too.
- Given
- on ; on ( is the natural logarithm, defined only for positive ); on .
- To show
- None of them has a point of local maxima or local minima (Definition 4), and so none has a maximum or minimum value (Definition 3).
- Plan
- (1) Prove a general link: on an open interval, a point of maximum or minimum value is also a point of local maxima or minima. (2) For each function, show the derivative exists everywhere and is never zero. (3) Conclude with Theorem 2. (4) Confirm directly by beating every candidate point.
Basics you need
Let be defined on an open interval I and I. If has a local maxima or a local minima at , then either or is not differentiable at . Lesson: critical points and tests
Local maxima (Definition 4): for all near . Maximum value (Definition 3): for all in the domain. (The book prints Definition 3 with , ; with in I they must be read as , .) Lesson: maxima and minima
for all ; for . Also for every .
If and , then for every real . Basics: factorising and the discriminant
Part (i):
A maximum or minimum value would be a local one
This step serves all three parts. Suppose a function on an open interval I had a maximum value at some I: for every I. Because I is open, there is an with inside I, and the inequality holds in particular for those . That is exactly Definition 4(a): is a point of local maxima. The same holds for minimum values.
So once we show there are no points of local maxima or minima, there can be no maximum or minimum values either. The domains here, and , are open intervals, so this applies.Definitions 3 and 4, Section 6.4. Lesson: maxima and minimais never zero
is differentiable at every real , with . An exponential with a positive base is always positive, so for every .
By Theorem 2, a point of local maxima or minima would need or not differentiable at . Neither ever happens, so has no local maxima or minima, and by Part (i), Step 1, no maximum or minimum value.
There are no critical points at all. Theorem 2 is a necessary condition: no critical point means nowhere for an extreme to be.Theorem 2, Section 6.4. Lesson: testsDirect confirmation
For any : and , because . Every candidate is beaten on both sides. The values get as close to as we like (for example ) but never reach it, just as in Example 16.
This shows the conclusion without Theorem 2, which is a good check that we read the theorem in the right direction.
Part (ii):
is never zero on
The domain of is , an open interval. On it is differentiable with . A fraction with numerator is never zero. So there is no critical point, and by Theorem 2 has no local maxima or minima; by Part (i), Step 1, no maximum or minimum value.
The point might look special, but it is not in the domain, so it cannot be a point of maxima or minima., Chapter 5.Direct confirmation
For any : and , since . Both and are positive, so they are in the domain.
Doubling or halving keeps us inside , unlike adding or subtracting , which could leave the domain when is small..
Part (iii):
is always positive
is a polynomial, differentiable everywhere, with . Its discriminant is and its leading coefficient is positive, so for every . Without the discriminant:
Both terms are , and they cannot both be zero (that would need and at once), so the sum is .
Expanding: . ✓ Completing the square gives the exact least value: .Negative discriminant ⇒ no real roots. Basics: the discriminantConclude with Theorem 2
for every , and is differentiable everywhere, so there is no critical point. By Theorem 2, has no local maxima or minima, and by Part (i), Step 1, no maximum or minimum value on .
Since everywhere, is in fact strictly increasing on (Theorem 1 and the Mean Value step of its proof, applied on for any ), so every point is beaten by any point to its right and undercuts any point to its left.Theorem 2, Section 6.4; Theorem 1, Section 6.3. Lesson: increasing and decreasing functions
(i) , (ii) on , (iii) . In each case the function is differentiable on an open interval and its derivative is never zero, so by Theorem 2 it has no point of local maxima or minima, and therefore no maximum or minimum value. Hence none of the three functions has maxima or minima. ∎
(i) , , : always rising, always positive.
(ii) , , : always rising.
(iii) , the smallest value of ; and , , , : always rising.
- Reading Theorem 2 backwards. It says "extreme ⇒ critical point". We use its contrapositive: "no critical point ⇒ no extreme". It does not say every critical point is an extreme.
- Forgetting the domain of . It is ; and negative are not candidates.
- Saying has minimum value . gets arbitrarily close to but never equals it.
- Trying to solve and stopping at "no solution". Say clearly what that means: no critical points, hence no local extremes.
- No critical points on an open interval ⇒ no local maxima or minima (Theorem 2).
- On an open interval, a maximum or minimum value is automatically a local one; so no local extremes ⇒ no extreme values.
- To show a quadratic derivative is never zero, use the discriminant or write it as a sum of squares.
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| Maximum and minimum value; local maxima and minima | Part (i), Step 1 | Definitions 3 and 4, Section 6.4 (Lesson: maxima and minima) |
| Local extremum ⇒ or not differentiable | Every part | Theorem 2, Section 6.4 (Lesson: tests) |
| ; ; power rule | Part (i), Step 2; Parts (ii), (iii), Step 1 | Chapter 5 (Continuity and Differentiability) |
| Part (ii), Step 2 | Laws of logarithms (Chapter 5) | |
| Negative discriminant and positive leading coefficient ⇒ quadratic always positive | Part (iii), Step 1 | Class XI algebra (Basics) |
| on an interval ⇒ strictly increasing | Part (iii), Step 2 | Theorem 1 and its proof, Section 6.3 |
| Values approached but never reached give no extreme value | Part (i), Step 3 | Example 16, Section 6.4 |
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