Dense set equivalent definitions

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Discussion Overview

The discussion revolves around the equivalence of two definitions of dense sets in metric spaces, as presented in a real analysis context. Participants explore the implications of these definitions and share their perspectives on the nuances involved in understanding density in metric spaces.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant presents two definitions of dense sets and questions their equivalence, citing a specific example involving a set of points and a metric space.
  • Another participant expresses a preference for a definition that states a set is dense if its closure equals the entire space, suggesting that this avoids confusion regarding limit points.
  • A participant acknowledges confusion regarding the definitions and argues that defining density in terms of closure is clearer, while also noting that the second definition correctly identifies density in certain cases.
  • Some participants critique the notation used in the second definition, suggesting it could be improved for clarity regarding limit points and open neighborhoods.
  • One participant offers unsolicited advice on alternative textbooks for learning about metric spaces, implying that the original textbook may be unnecessarily challenging.
  • Another participant shares a resource for a free topology book, indicating it may be useful for understanding analysis concepts.

Areas of Agreement / Disagreement

Participants express differing views on the clarity and correctness of the definitions of dense sets. There is no consensus on which definition is superior, and some participants acknowledge confusion regarding the implications of each definition.

Contextual Notes

Some participants note limitations in the definitions, particularly regarding the treatment of limit points and the clarity of notation. There is an acknowledgment of the potential for misunderstanding based on the definitions provided.

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Hello all, I am an undergraduate student who is studying real analysis from Rudin's POMA and I am trying to prove that these two definitions that I have for dense sets are equivalent:
1) Given a metric space X and E ⊂ X ; E is dense in X iff every point of X is a limit point of E or E = X or both of these are true.
2) Given a metric space X and E ⊂ X; E is dense in X iff the intersection of E and every non-empty open set of X is non-empty.
In an attempt to prove the equivalence I have encountered an example which I can't get my head around it.
Given the set X such that X consists of all points ##s_n## , where ##s_n = \sum_{k=0}^n (1/2)^n## for all n ≥ 0, and 2 as well. Now define the metric for such a set to be the same as that of ℝ. Then X is a metric space. Now according to definition (1) the only dense set in X is X itself, but according to (2) the set V = X - {2} is a dense set in X besides X as well. However we should not have such a problem. So could you please point out what I am doing wrong. Thank you.
 
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I prefer the definition, ##E## is dense, iff ##\bar{E}=X##, which is definition one.

I had difficulties to correct definition two, as it is a bit of a sloppy notation for limit points. Maybe it's better to write it with open neighborhoods ##U_x## of a point ##x## and require ##E \cap (U_x-\{x\}) \neq \emptyset##, but that's basically definition one.
 
Last edited:
fresh_42 said:
I prefer the definition, ##E## is dense, iff ##\bar{E}=X##, which is definition one.

I had difficulties to correct definition two, as it is a bit of a sloppy notation for limit points. Maybe it's better to write it with open neighborhoods ##U_x## of a point ##x## and require ##E \cap (U_x-\{x\}) \neq \emptyset##, but that's basically definition one.

You mean basically definition 2.
 
Have I confused something? I'm used to define points of a set as automatically limit points. That's why it is better to define ##E\subseteq X## is dense, if ##\bar{E} =X##, which avoids this special case. So let's see, what we get for ##E=X-\{2\}##. With my definition it is dense in ##X##.

Now if ##\{1\} \in E## is no limit point, because without ##x=1## there are no small non-empty open sets around it, then according to definition 1) ##E## wasn't dense, which is wrong.

On the other hand, in definition 2) we have ##E \cap \{1\} = \{1\}## as an intersection of ##E## with an open non-empty set which is non-empty, so the points of ##E## are included. This is correct.

So, yes, you are right, I confused the two. The second definition is right and the first one is not. Thanks for the correction.
 
This may not be of interest, since I don't know why you are using POMA, but when I hear that, my first reaction is to suggest you read a different book, like anything by George Simmons or Sterling Berberian, if you want a book tnat teaches you something in a user friendly way. Or if you stick with Rudin but have difficulty understanding at least remember it isn't necessarily your fault. I myself learned metric spaces from lectures by George Mackey and never needed to read any book on it afterwards, since they were so clear. He wrote a book on complex variables with an introductory chapter on metric spaces and elementary topology that might be useful. Also Dieudonne' has a great book on Foundations of modern analysis with a chapter on metric spaces but he is not easy reading. In my opinion your choice of book is making things harder unnecessarily, but anyway good luck. It is of course a standard and well respected by many professional analysts.
 
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