Continuous functions on metric spaces part 2

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SUMMARY

The discussion focuses on proving the continuity of functions within metric spaces, specifically using the triangle inequality and the definition of continuity. Participants emphasize the importance of establishing the relationship between distances in the metric space and the continuity condition, which states that for every ε, there exists a δ such that |f(x) - f(x₀)| < ε for all x within the domain. The proof involves demonstrating that the inequalities derived from the triangle inequality lead to the conclusion that δ can be set equal to ε, ensuring uniform continuity.

PREREQUISITES
  • Understanding of metric spaces and their properties
  • Familiarity with the triangle inequality in metric spaces
  • Knowledge of the formal definition of continuity in mathematical analysis
  • Basic skills in constructing mathematical proofs
NEXT STEPS
  • Study the properties of metric spaces in depth
  • Learn about uniform continuity and its implications
  • Explore examples of continuity proofs using the triangle inequality
  • Investigate the relationship between continuity and boundedness in metric spaces
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Mathematicians, students of analysis, and anyone interested in the properties of continuous functions within metric spaces will benefit from this discussion.

Lambda96
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Homework Statement
Show that the mapping ##x \mapsto d(x,p)## is linear.
Relevant Equations
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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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