[topology] The metric topology is the coarsest that makes the metric continuous

Click For Summary

Homework Help Overview

The discussion revolves around the metric topology induced by a metric space (X,d) and its properties, specifically focusing on proving that this topology is the coarsest topology that makes the metric continuous. Participants explore the implications of continuity and the relationship between open sets in the context of metric and product topologies.

Discussion Character

  • Conceptual clarification, Assumption checking, Mixed

Approaches and Questions Raised

  • Participants discuss the continuity of the metric and its implications for open balls and open sets. There is an exploration of whether the induced topology coincides with the product topology on X × X, leading to questions about the nature of open sets and the Hausdorff property in this context.

Discussion Status

The conversation includes attempts to clarify the relationship between the metric topology and the product topology, with some participants expressing confusion about the assumptions involved. Guidance has been offered regarding the continuity of the metric and the nature of the induced topology, but no explicit consensus has been reached on the most efficient proof method.

Contextual Notes

Participants note that the initial topology induced by the metric may not coincide with the product topology and discuss the implications of this for the Hausdorff property. There is mention of uniform spaces as a related concept, indicating a broader context for the discussion.

nonequilibrium
Messages
1,412
Reaction score
2
[topology] "The metric topology is the coarsest that makes the metric continuous"

Homework Statement


Let (X,d) be a metric space. Show that the topology on X induced by the metric d is the coarsest topology on X such that d: X \times X \to \mathbb R is continuous (for the product topology on X \times X).

Homework Equations


N.A.

The Attempt at a Solution


I can prove that d is continuous, but I'm having trouble proving that the topology is the coarsest. Let V be a subset of R, then denote U := d^{-1}(V) and suppose U is open. I want to prove that V is open, but I'm not sure how.
 
Physics news on Phys.org


Try to prove that if d is continuous, then the open balls are open sets in that topology.
 


Thanks.

Hm, I seem to be confused.

The best thing I can do, is to say: take an open ball B(x, \varepsilon), then we know that d^{-1}(]-\epsilon,\epsilon[) is open, and hence d^{-1}(]-\epsilon,\epsilon[) \cap \left( \{x\} \times X \right) is open in \{x\} \times X, which proves your statement if we identify
B(x, \varepsilon) \leftrightarrow d^{-1}(]-\epsilon,\epsilon[) \cap \left( \{x\} \times X \right)
X \leftrightarrow \{x\} \times X
but I would doubt this round-about method is necessary...

Part of my confusion seems to be about the following: I think I'm wrong about my initial assumption that the statement is equivalent to saying it's (also) the coarsest on X \times X such that d is continuous? Because I'm confused by the fact that (take X = \mathbb R for the moment) d^{-1}(]a,b[) is always an unbounded region, consequently the initial topology on \mathbb R \times \mathbb R induced by d cannot coincide with the product topology on X \times X inherited from the metric topology on X (which would have to be the case if the above statement were true).

I hope my confusion makes sense...
 


mr. vodka said:
Thanks.

Hm, I seem to be confused.

The best thing I can do, is to say: take an open ball B(x, \varepsilon), then we know that d^{-1}(]-\epsilon,\epsilon[) is open, and hence d^{-1}(]-\epsilon,\epsilon[) \cap \left( \{x\} \times X \right) is open in \{x\} \times X, which proves your statement if we identify
B(x, \varepsilon) \leftrightarrow d^{-1}(]-\epsilon,\epsilon[) \cap \left( \{x\} \times X \right)
X \leftrightarrow \{x\} \times X
but I would doubt this round-about method is necessary...

That is correct.

Part of my confusion seems to be about the following: I think I'm wrong about my initial assumption that the statement is equivalent to saying it's (also) the coarsest on X \times X such that d is continuous? Because I'm confused by the fact that (take X = \mathbb R for the moment) d^{-1}(]a,b[) is always an unbounded region, consequently the initial topology on \mathbb R \times \mathbb R induced by d cannot coincide with the product topology on X \times X inherited from the metric topology on X (which would have to be the case if the above statement were true).

Yes, I indeed do not think that is true. Note that the actual initial topology of d (on the set XxX) is not even Hausdorff. Indeed, the point (x,x) and (y,y) can never be separated by open sets. If (x,x) is in d^{-1}(]a,b[) then 0\in ]a,b[. But then we also have (y,y)\in ]a,b[.

Some extra information:
As you can see, the set \{d^{-1}(]a,b[~\vert~a,b\in \mathbb{R}\} does not induce a nice topological space. But it does introduce a nice structure called a uniformity. Uniform spaces (spaces equipped with a uniformity) are a generalization of metric spaces which can be used to define notions such as uniform continuity, uniform convergence, totally boundedness and Cauchy sequences. Every uniform space induces a topological space. So we actually have "metric space --> uniform space --> topological space".
 


Ah, thank you :)

And is the way I proved it the most efficient way/the way you had in mind? With the identifications? Or is it a round-about way for something shorter that I'm overlooking?
 


mr. vodka said:
Ah, thank you :)

And is the way I proved it the most efficient way/the way you had in mind? With the identifications? Or is it a round-about way for something shorter that I'm overlooking?

It was the way I had in mind. Perhaps there is a shorter way, but I doubt it.
 


Ah perfect :) You have settled my qualms.
 

Similar threads

  • · Replies 58 ·
2
Replies
58
Views
5K
  • · Replies 12 ·
Replies
12
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 31 ·
2
Replies
31
Views
1K
  • · Replies 14 ·
Replies
14
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
20
Views
5K
  • · Replies 5 ·
Replies
5
Views
2K