A function with no max or min at an endpoint

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Discussion Overview

The discussion revolves around the concept of functions that do not have maximum or minimum values at endpoints, particularly focusing on the nature of critical points and singular points. Participants explore examples and seek to understand the implications of these characteristics in mathematical contexts.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant notes that while functions typically have extreme values at endpoints, critical points, and singular points, they may not necessarily have extreme values at these locations.
  • Another participant suggests that graphing the sine function over the interval [0, π] can illustrate a function that does not have extreme values at the endpoints.
  • There is mention of using oscillating functions, such as f(x) = x sin(1/x) for x > 0, to avoid local minima or maxima at endpoints.
  • Some participants reference the Weierstrass Function as an example of a function that is continuous everywhere but nowhere differentiable, potentially relevant to the discussion of extreme values.
  • One participant expresses a desire for clarity on why x=0 is considered an endpoint and why it may not have an extreme value, indicating a need for further understanding.
  • Another participant acknowledges the complexity of the topic and the need for additional time to formulate their thoughts and contributions to the discussion.

Areas of Agreement / Disagreement

Participants express various viewpoints on the nature of functions and extreme values, with no clear consensus reached. Some propose specific examples and methods, while others indicate uncertainty or a need for further exploration.

Contextual Notes

Participants mention specific exercises and references from textbooks, indicating that the discussion may depend on particular definitions and examples that are not fully articulated within the thread.

Who May Find This Useful

This discussion may be of interest to those studying calculus, particularly in understanding the behavior of functions at endpoints and the nature of extreme values.

mcastillo356
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I've found an exercise, and need to revisit the concepts involved, first of all, and eventually solve it. I have some clues, but at the same time, a need to start from zero.
Hi, PF

Although a function cannot have extreme values anywhere other than at endpoints, critical points, and singular points, it need not have extreme values at such points. There is an example of how a function need not have extreme values at a critical point or a singular point in 9th edition of "Calculus: A Complete Course", pg 237, Figure 4.18. It is more difficult to draw the graph of a function whose domain has an endpoint at which the function fails to have an extreme value. See Exercise 49 at the end of this section for an example of such a function.
I would like to know why ##x=0## is an endpoint of such function, and why does it fail to have an extreme value, for the first instance. My aim is to completely understand and solve it.

Greetings, Love!
 
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Sorry, lack of statement of the exercise, and clues to solve it I have
Now have no time. Let's leave for tomorrow
Love
 
It's not hard to draw such a function. Graph the sine function. Pick an interval that encloses the maximum and the minimum but goes beyond them to points that are neither a max or min. ##[0,\pi]## will do.
 
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Fine. Think the example I will put is going to be much more complicated. At first glance.
See later
 
If you are talking about local maximums and minimums, it is harder to avoid those at the endpoints. But it can be done.
 
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Copying the function would have been useful for users who don't have that book.

You can avoid a local minimum/maximum at an endpoint using oscillating functions for example. ##f(x)=x \sin(\frac 1 x)## for ##x>0##, ##f(x)=0## is continuous but oscillates in the ##\pm x## "cone" infinitely often as you approach x=0. If the function doesn't need to be continuous there is even more freedom how to do that.
You simply define the interval to end at x=0. It's arbitrary which range to look at.
 
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Mark44 said:
There's always the Weierstrass Function (https://en.wikipedia.org/wiki/Weierstrass_function) that is continuous everywhere, but nowhere differentiable.
I've taken a glance. Very advanced to me
mfb said:
Copying the function would have been useful for users who don't have that book.

You can avoid a local minimum/maximum at an endpoint using oscillating functions for example. ##f(x)=x \sin(\frac 1 x)## for ##x>0##, ##f(x)=0## is continuous but oscillates in the ##\pm x## "cone" infinitely often as you approach x=0. If the function doesn't need to be continuous there is even more freedom how to do that.
You simply define the interval to end at x=0. It's arbitrary which range to look at.
Thanks, this is fine, it is what I was going to post.
This is going to be hard work for me. This island I hope will once again support my lack of rigor and inconsistency. I'm also in touch with "Rincón Matemático", and some of you will have noticed that at my first post I made a question I should already have known the answer to. In my confusing paragraph I say:
mcastillo356 said:
I would like to know why ##x=0## is an endpoint of such function
This is something I should know from

https://www.physicsforums.com/threads/what-kind-of-definition-is-this.1008348/

Where I said I had understood the definition, and thus, the concept. Well, still wondering how to face:

-The definition at my previous post: I'm thinking now about personal classes.
-The exercise proposed here: I'm thinking about PF, the Spanish Forum, a personal teacher.

Well, too many words, just to apologize about my first post, and to introduce at last my wonders about this thread's direction. Still don't made the first step: write the question and contribution or effort to solve it. This is just a statement of intent, an outline of what i wish was the thread, and a plea: I need time to draft properly all I have in mind.

Thanks! Love
 

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