Completeness of ℝ (when ℝ is defined abstractly)

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SUMMARY

The discussion centers on the abstract definition of ℝ as a Dedekind-complete ordered field and its implications for completeness as a metric space. It is established that while ℝ does not inherently possess a metric structure, it can be completely metrized, meaning there exists a metric that renders it complete. The order topology on ℝ allows it to function as a topological vector space, which can be induced by a norm, confirming that the concept of a norm on ℝ is valid and useful.

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  • Understanding of Dedekind-complete ordered fields
  • Familiarity with metric spaces and their properties
  • Knowledge of topological vector spaces
  • Basic concepts of order topology
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  • Study the properties of topological vector spaces
  • Explore the implications of order topology on ordered sets
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Mathematicians, particularly those focused on real analysis, topology, and abstract algebra, will benefit from this discussion, as well as students seeking to deepen their understanding of the structure of ℝ.

Fredrik
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Suppose that we define ℝ abstractly instead of by explicit construction, i.e. we just say that ℝ is any Dedekind-complete* ordered field. Can we now prove that ℝ is a complete metric space? Does the question even make sense? I mean, the definition of "metric space" refers to ℝ. What ℝ is that anyway, the abstract one or one defined by explicit construction (Dedekind cuts)?

*) By that I mean that every set that's bounded from above has a least upper bound.
 
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If you define [itex]\mathbb{R}[/itex] simply as a Dedekind-complete ordered field, then it carries no natural structure of a metric space yet. You must first define the metric before you can talk about completeness.

It does carry a natural topology though: every linearly ordered set can be topologized with the order topology: http://en.wikipedia.org/wiki/Order_topology

So, we can say that [itex]\mathbb{R}[/itex] is completely metrizable: that is, we can say that it has a metric that makes it complete. But there are many such metrics.

Then again: [itex]\mathbb{R}[/itex] with the order topology is a topological vector space, even a locally convex topological vector space. And it can be shown that it's topology can be induced by a norm. So the norm on [itex]\mathbb{R}[/itex] is not so unnatural as one might think.

Does that answer your question or am I way off??
 
That's a good answer. I see now that I had a bit of a brain malfunction when I asked the question. I was worried about a few things that it doesn't make sense to worry about. You helped clear that up, and i appreciate that. Thank you.
 

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