What is a Complete Metric Space in Mathematics?

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Discussion Overview

The discussion centers on the concept of complete metric spaces in mathematics, exploring definitions, examples, and implications of completeness. Participants seek to clarify the notion and its applications, particularly in relation to sequences and convergence.

Discussion Character

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

Main Points Raised

  • One participant seeks clarification on the definition of complete metric spaces and requests examples to aid understanding.
  • Another participant suggests that completeness is a technical condition, stating that a space is complete if every sequence that should converge does indeed converge, using examples of converging and non-converging sequences.
  • It is noted that the real numbers \mathbb{R} are complete, while the rationals \mathbb{Q} are incomplete, as a sequence converging to an irrational number does not converge within \mathbb{Q}.
  • Questions are raised about demonstrating convergence in Hilbert spaces or \mathbb{R} using the definition of distance, specifically regarding Cauchy sequences.
  • There is a request for clarification on what is meant by a Hilbert space converging, indicating some confusion about the terminology used.
  • One participant asserts that it is possible to show that every Cauchy sequence converges in many spaces, but notes that verifying this in \mathbb{R} can be complex due to its complicated definition.

Areas of Agreement / Disagreement

Participants express varying levels of understanding and clarity regarding the concept of completeness, with some agreeing on the technical nature of the definition while others seek further examples and explanations. The discussion remains unresolved with multiple viewpoints on how to approach the topic.

Contextual Notes

There are limitations in the discussion regarding the assumptions underlying the definitions of completeness and convergence, as well as the complexity involved in demonstrating these properties in certain spaces.

Amok
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Can someone help me understand the notion of complete metric space? I've read the definition (the one involving metrics that go to 0), but I can't really picture what it is. Does anyone have any examples that could help me understand this?
 
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I'm not sure if there even is something you can picture. Completeness is simply a quite technical condition that has a lot of benifits. Intuitively, one can say that a space is complete if every sequence that should converge, also converges.
What is a sequence that should converge? Well a sequence who's terms lie closer and closer together. For example, the sequence (1/n) should converge, because the terms are closer and closer. But (n) does not converge, because the terms both have distance 1 from each other.

The space [tex]\mathbb{R}[/tex] is complete: every sequence that should converge converges, but [tex]\mathbb{Q}[/tex] is incomplete, indeed a rational sequence that converges to [tex]\pi[/tex] does not converge in [tex]\mathbb{Q}[/tex].
 
But cam you show that a Hilbert space or a [tex]\mathbb{R}[/tex] space converges? Using the definition of distance, for example? Can you show that every Cauchy sequence in a certain space converges?
 
Amok said:
But cam you show that a Hilbert space or a [tex]\mathbb{R}[/tex] space converges? Using the definition of distance, for example?

What do you mean with "a Hilbert spaces converges"?

Can you show that every Cauchy sequence in a certain space converges?

Yes, one can show that for a lot of spaces, so it's certainly not an impossible condition to check. The only space for which it is really hard to check is for [tex]\mathbb{R}[/tex], but that's because the definition of [tex]\mathbb{R}[/tex] is quite complicated...
 

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