Continuous functions on metric spaces part 2

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Homework Help Overview

The discussion revolves around the continuity of functions within the context of metric spaces, specifically examining the properties of a distance function and its implications for continuity. Participants are exploring the definitions and characteristics of continuity in relation to metrics.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the definition of continuity and its application to the distance function. There are attempts to clarify the implications of the triangle inequality and how it relates to establishing continuity. Some participants question the assumptions regarding linearity and the nature of the metric space.

Discussion Status

There is ongoing exploration of the continuity definition and its application to the problem at hand. Some participants have provided hints and guidance regarding the use of the triangle inequality, while others are reflecting on the logical structure of their proofs. Multiple interpretations of the continuity concept are being examined.

Contextual Notes

Participants note the lack of explicit assumptions about the vector space properties of the metric space, which influences their reasoning about continuity. There is also mention of uniform continuity, suggesting a broader consideration of continuity across the metric space.

Lambda96
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Homework Statement
Show that the mapping ##x \mapsto d(x,p)## is linear.
Relevant Equations
none
Hi,

The task is as follows
Bildschirmfoto 2024-05-18 um 18.49.02.png


For the proof I wanted to use the boundedness, in the script of my professor the following is given, since both ##(X,d)## and ##\mathbb{R}## are normalized vector spaces

Bildschirmfoto 2024-05-18 um 16.21.50.png

I have now proceeded as follows ##|d(x,p)| \le C |x|## according to Archimedes' principle, a number ##C## now exists, which ensures that the inequality is valid for all ##x##.
 
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##d(\cdot , p)## isn't linear.

Start with the definition of continuity. Use a function ##f## first, and substitute ##f(x)## with ##d(x,p)## afterwards. So: What does it mean, when a function ##f(x)## is continuous at ##x_0##?
 
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fresh_42 said:
##d(\cdot , p)## isn't linear.

We are not even given that X is a vector space, so we don't have a concept of linearity.

@Lambda96: All you have available to you are the properties of an arbitrary metric and the definition of continuity with respect to that metric. Consider the triangle rule.
 
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Thank you fresh_42 and pasmith for your help 👍👍

The continuity of a function ##f## is defined as follows:

A function ##f## is called continuous at the point ##x_0## if for every ##\epsilon## there exists a ##\delta## such that for all ##x \in D_f## with ##|x-x_0| < \delta## : ##|f(x) - f(x_0)|< \epsilon## applies

Do you mean fresh_42 that I should now do the following?

$$|x-x_0| < \delta \rightarrow |d(x,p) - d(x_0,p)|< \epsilon$$

Then I should now determine the ##\delta##, right?
 
Lambda96 said:
Thank you fresh_42 and pasmith for your help 👍👍

The continuity of a function ##f## is defined as follows:

A function ##f## is called continuous at the point ##x_0## if for every ##\epsilon## there exists a ##\delta## such that for all ##x \in D_f## with ##|x-x_0| < \delta## : ##|f(x) - f(x_0)|< \epsilon## applies

Do you mean fresh_42 that I should now do the following?

$$|x-x_0| < \delta \rightarrow |d(x,p) - d(x_0,p)|< \epsilon$$

Then I should now determine the ##\delta##, right?

Yes, and yes. Use @pasmith's hint. The triangle inequality is basically all we have. Note that ##|x-x_0|=d(x,x_0).##
 
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Thank you fresh_42 for your help 👍


The triangle inequality is as follows ##d(x,x_0) \le d(x,p) + d(p,x_0)##


With the triangle inequality you can then set up the two inequalities ## d(x,p) - d(p,x_0) \le d(x,x_0)## and ## d(p,x_0)- d(x,p) \le d(x,x_0)## from this then follows ##|d(x,p) - (p,x_0)| \le d(x,x_0)##

The following ##|d(x,p)- d(p,x_0)| < \epsilon## holds and because of ##|d(x,p) - (p,x_0)| \le d(x,x_0)## with ##|x-x_0|=d(x,x_0)## then ##\delta=\epsilon## follows
 
Lambda96 said:
Thank you fresh_42 for your help 👍


The triangle inequality is as follows ##d(x,x_0) \le d(x,p) + d(p,x_0)##


With the triangle inequality you can then set up the two inequalities ## d(x,p) - d(p,x_0) \le d(x,x_0)## and ## d(p,x_0)- d(x,p) \le d(x,x_0)## from this then follows ##|d(x,p) - (p,x_0)| \le d(x,x_0)##

The following ##|d(x,p)- d(p,x_0)| < \epsilon## holds and because of ##|d(x,p) - (p,x_0)| \le d(x,x_0)## with ##|x-x_0|=d(x,x_0)## then ##\delta=\epsilon## follows
I'll make this general comment for the last time. You are not thinking through these problems in terms of what you are trying to prove. Your work is superficial, IMO. It's not that you need detail, as such, but that you need to be much clearer about the steps required in the proof.

In this case, specifically, you didn't say that for a function to be continuous, we mean that it is continuous at every point ##x_0 \in X##. You might say you knew that. But, I'm not convinced that you recognised that.

So, your proof should start: "Let ##x_0 \in X## and ##\epsilon > 0##.

PS Having a coherent, logical structure to your proof is a good habit to get into.
 
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Thanks PeroK for the tip 👍

Unfortunately, I forgot to say in my calculation that I was only interested with the calculation of how to determine the ##\delta##. In my documents I have provided complete proof
 
In fact we have uniform continuity, since \delta = \epsilon works independently of x.
 
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