Need help with simple proof, metric space, open covering.

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Discussion Overview

The discussion revolves around a proof related to metric spaces and open coverings, specifically examining the implications of certain inequalities and assumptions regarding continuity and distances between points. Participants seek clarification on the validity of specific statements and the conditions under which they hold true.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions whether the proof demonstrates that |f(x)-f(y)|≤d(x,y) for all x and y, or only under certain conditions involving open balls and the open covering.
  • Another participant points out an implicit assumption that d(x,y) < r, suggesting this should be explicitly stated, as the proof may not hold otherwise.
  • There is agreement on the validity of the inequality f(y) ≥ r - d(x,y) for any r in a defined set S, but questions arise about substituting r with sup S in the inequality.
  • A participant expresses confusion about whether changing r to sup S in the inequality f(y) ≥ r - d(x,y) affects its validity, providing a numerical example to illustrate their point.
  • Another participant clarifies that if x is an upper bound for all y in S, then x must be at least as large as the least upper bound of S, reinforcing the relationship between upper bounds and supremum.

Areas of Agreement / Disagreement

Participants express differing views on the implications of the inequalities and the assumptions made in the proof. There is no consensus on the validity of substituting r with sup S in the inequalities discussed, indicating ongoing debate and uncertainty.

Contextual Notes

Participants note that the proof's validity may depend on explicit assumptions regarding distances and the nature of the open covering, which are not fully articulated in the initial statements.

bobby2k
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Please take a look at the proof I added, there are some things I do not understand with this proof.

1. Does it really show that |f(x)-f(y)|≤d(x,y) for all x and y? Or does it only show that if there is an ball with radius r around x, and this ball is contained in an O in the open covering, and if y is contained in that ball. Then |f(x)-f(y)|≤d(x,y)?

2. Also please take a look at the sentence I underlined with a red line. Why can he say that
f(y)≥f(x)-d(x,y)? I could understand if he wrote r instead of f(x), that is f(y)≥r-d(x,y), why is he allowed to use r instead of f(x)?
 

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In the second paragraph, there is an implicit assumption that ##d(x,y) < r##. This assumption is fine since continuity at ##x## depends only on what happens near ##x##, but this should have been stated explicitly, because as written, the rest is nonsense if ##d(x,y) \geq r##.

Regarding the red underlined inequality: I agree with you that the immediate implication is ##f(y) \geq r - d(x,y)##. This inequality is valid for any ##r## in the set ##S = \{r \in \mathbb{R} | r < 1 \text{ and } d(x,y) < r \text{ and } B(x;r) \subseteq O\}##. Therefore it is also valid for ##r = \sup S##, but ##\sup S## is simply ##f(x)##, by definition.
 
jbunniii said:
In the second paragraph, there is an implicit assumption that ##d(x,y) < r##. This assumption is fine since continuity at ##x## depends only on what happens near ##x##, but this should have been stated explicitly, because as written, the rest is nonsense if ##d(x,y) \geq r##.

Regarding the red underlined inequality: I agree with you that the immediate implication is ##f(y) \geq r - d(x,y)##. This inequality is valid for any ##r## in the set ##S = \{r \in \mathbb{R} | r < 1 \text{ and } d(x,y) < r \text{ and } B(x;r) \subseteq O\}##. Therefore it is also valid for ##r = \sup S##, but ##\sup S## is simply ##f(x)##, by definition.

Thank you very much! But what is it that makes the inequality still hold? What has me puzzled is that r ≤ sup S for any R in S? So it seems to me that we can't change sup S with r, since the inequality in
f(y) ≥ r - d(x,y) goes the other way?

I mean, if we have a change a part of the smaller size of the inequality with a bigger one, the inequality might not still hold?
Lets say that f(y)=7, r = 6, and d(x,y)=1, and sup S = 10
then f(y) ≥ r-d(x,y),
but we can not say that f(y) ≥ sup S - d(x,y)?
 
Last edited:
bobby2k said:
Thank you very much! But what is it that makes the inequality still hold? What has me puzzled is that r ≤ sup S for any R in S? So it seems to me that we can't change sup S with r, since the inequality in
f(y) ≥ r - d(x,y) goes the other way?
In general, if we have any bounded set ##S##, and we are given that ##x \geq y## for every ##y \in S##, then we can conclude that ##x \geq \sup S##.

Proof: suppose that ##x < \sup S##. Now ##\sup S## is the LEAST upper bound of ##S##, so ##x## is not an upper bound of ##S##. Therefore there is some ##y \in S## such that ##x < y##. But this contradicts ## x \geq y## for every ##y \in S##.
 
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Thanks man, very elegant!
 
bobby2k said:
I mean, if we have a change a part of the smaller size of the inequality with a bigger one, the inequality might not still hold?
Lets say that f(y)=7, r = 6, and d(x,y)=1, and sup S = 10
then f(y) ≥ r-d(x,y),
but we can not say that f(y) ≥ sup S - d(x,y)?
In this example, the inequality ##f(y) \geq r - d(x,y)## is false if ##r > 8##. But ##\sup S = 10##. Therefore there must be some values of ##r \in S## between ##8## and ##10## for which the inequality is false. So this example is different from the situation in your proof.
 
bobby2k said:
Thanks man, very elegant!
Here's an even simpler way to put it: the condition ##x \geq y## for all ##y \in S## means exactly that ##x## is an upper bound of ##S##. Therefore ##x## must be at least as big as the LEAST upper bound of ##S##.
 
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Code:
jbunniii said:
Here's an even simpler way to put it: the condition ##x \geq y## for all ##y \in S## means exactly that ##x## is an upper bound of ##S##. Therefore ##x## must be at least as big as the LEAST upper bound of ##S##.

Ah offcourse, thanks!
 

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