Understanding metric space definition through concrete examples

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Discussion Overview

The discussion revolves around understanding the definition of open and closed sets in the context of metric spaces, particularly through concrete examples and visualizations. Participants explore how to conceptualize these definitions geometrically, especially in relation to the real line and higher-dimensional spaces.

Discussion Character

  • Exploratory
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • One participant expresses difficulty in visualizing the definition of open and closed sets in metric spaces and seeks concrete examples.
  • Another participant explains that an open set allows for the existence of a small open ball around each point that is entirely contained within the set, emphasizing the absence of boundary points.
  • Examples from the real line are provided, such as the interval (0,1) being open and [0,1) not being open due to boundary points.
  • A later reply notes that the intuition about openness may not hold in general metric spaces, particularly mentioning the discrete metric as a contrasting example.
  • One participant acknowledges understanding after the explanation, indicating a shift in their comprehension.

Areas of Agreement / Disagreement

Participants generally agree on the basic definition of open sets and the importance of visualizing them, but there is recognition that the intuition may not apply universally across all metric spaces, indicating some unresolved nuances.

Contextual Notes

Participants discuss the definitions and examples without resolving the complexities introduced by different types of metric spaces, such as the discrete metric, which may challenge the conventional understanding of openness.

Ricster55
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Right now, I am studying Advanced Calculus (proof based), and it is hard thinking through some of the definitions without first thinking about it concretely (meaning how to visualize it better geometrically, if that makes any sense?). I need help with this definition.

Definition

Let X be a metric space. A set G ⊂ X is open if for every a ∈ G there exists r > 0 such that Br(a) ⊂ G. A subset F ⊂ X is closed if F^C = X - F is open.

How do I try to "visualize" this definition, through say, a diagram or a set example?
 
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It just means that for every point in the set, you can find a small open ball that is contained entirely in the set.

If you think about this in general ##\mathbb{R}^n## space (where the intuition comes from), and consider a bounded set, this means that nothing of a boundary is included in the set itself, because if there would be a point on the boundary, any ball with center that point will intersect the complement of the set, so the set isn't open.

Therefore, I like to think about openness as if the set has no boundary.

For example, ##(0,1)## is open in the reals with the usual metric, because it does not contain its 'boundary points' and ##[0,1)## is not open, because any ball with center 0 will contain a point smaller than ##0##.

Notice that this intuition starts to break down in general metric spaces. Take for example any set with the discrete metric.
 
I'd first take the real line as example, so the open sets are open intervals. The ##B_r(a)## are required to be open: ##B_r(a)=\{x\in X\,: \,||x-a|| < r\}## which is usually written ##U_r(a)##. The ##B_r(a)## are commonly reserved for closed balls.

After that you could do the same in the plane.
 
Math_QED said:
It just means that for every point in the set, you can find a small open ball that is contained entirely in the set.

If you think about this in general ##\mathbb{R}^n## space (where the intuition comes from), and consider a bounded set, this means that nothing of a boundary is included in the set itself, because if there would be a point on the boundary, any ball with center that point will intersect the complement of the set, so the set isn't open.

Therefore, I like to think about openness as if the set has no boundary.

For example, ##(0,1)## is open in the reals with the usual metric, because it does not contain its 'boundary points' and ##[0,1)## is not open, because any ball with center 0 will contain a point smaller than ##0##.

Notice that this intuition starts to break down in general metric spaces. Take for example any set with the discrete metric.
aah, I think I get it now. Thanks for the reply
 
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