Metric spaces and closed balls

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Homework Help Overview

The discussion revolves around the concept of metric spaces, specifically exploring examples of metric spaces that contain closed balls of varying radii. The original poster seeks a simple example of a metric space with a closed ball of radius 1.001 that can contain 100 disjoint closed balls of radius one. Additionally, there is a related question about the continuity of a function defined on R x R endowed with a product metric.

Discussion Character

  • Exploratory, Conceptual clarification, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the potential use of the discrete metric and whether it can satisfy the conditions of the problem. There are suggestions to embed examples in Euclidean space and considerations about the nature of product metrics. Questions arise regarding the appropriate choice of metrics and the continuity of the function defined on R x R.

Discussion Status

Some participants have offered suggestions regarding the use of the discrete metric and the embedding of examples in higher-dimensional spaces. Others have raised questions about the continuity of the function and the choice of product metrics, indicating an ongoing exploration of the problem without a clear consensus.

Contextual Notes

There is mention of the original poster's uncertainty due to a lack of prior instruction on the topic, as well as the possibility of needing to start a new thread for a related question. Participants note the flexibility in choosing metrics for the product space, which adds complexity to the discussion.

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Homework Statement



Can anyone suggest a simple example of a metric space which has a closed ball of radius, say, 1.001 which contains 100 disjoint closed balls of radius one?

I've taught myself about metric spaces recently so I'm only just getting started on it really, not really sure how to tackle this so any help would be very handy! Thanks!
 
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Would the discrete metric work, but defining it as 1.001 when x=/=y and 0 when x=y, on some set with over 100 members?
 
Sure, I think that works. You could even embed your example in euclidean space by picking your points at the vertices of a higher dimensional analog of a tetrahedron.
 
Dick said:
Sure, I think that works. You could even embed your example in euclidean space by picking your points at the vertices of a higher dimensional analog of a tetrahedron.

Thanks very much! :)Edit: Sorry, stuck again!

Q: Suppose that R × R is endowed with a product metric (pick your favourite). Show that the map f : R x R -> R defined by f(x,y) = x + y is continuous.

Attempt at solution: So I assume it means a product metric like d'((x1,x2),(y1,y2))=d(x1,y1)+d(x2,y2) and showing that f is continuous with respect to (d',d)? So then we want to show for all (a1,a2) and for all epsilon E there exists a delta D such that d(x1,a1)+d(x2,a2) <= D implies d(x1+x2,a1+a2) <= E, where d could just be any metric on the reals? Or do you think it means the Euclidean metric despite not saying so?
 
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(Also, should I have started a new thread for a new but related question? Apologies if so.)
 
I think you want to use the usual metric on R, d(x,y)=|x-y|. They appear to be letting you pick which norm to use the define the product metric. Opening a new thread for a new problem is a good idea because you will probably get more responses more quickly.
 
Dick said:
I think you want to use the usual metric on R, d(x,y)=|x-y|. They appear to be letting you pick which norm to use the define the product metric. Opening a new thread for a new problem is a good idea because you will probably get more responses more quickly.

Okay, so (I'm assuming or hoping you know the result, or rather how general it is regarding which metrics to use!) do you think I use the metric |x-y| on R in f:R^2 -> R -and- in the 'd' of the product metric, or just the R to which f maps? Sorry I'm so unclear, the question is very vague and since I'm working about 12 lectures ahead of schedule, my lecturer hasn't mentioned or explained anything about it, although I doubt he will anyway! Thanks so much for the help!
 
The question seems to allow you to choose which product metric to use. Using d(x,y)=|x-y| on R, you could pick the product metric in various ways, p((x1,y1),(x2,y2))=(|x1-x2|+|y1-y2|) or sqrt(|x1-x2|^2+|y1-y2|^2) or max(|x1-x2|,|y1-y2|). etc. Just pick one.
 

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