Some introductory Topology questions

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SUMMARY

This discussion centers on the foundational concepts of metric spaces in topology, specifically the notation and properties of distance functions. Participants clarify that a metric is defined as a function d: X x X → R, where X is a set and R represents the codomain of real numbers. The conversation emphasizes the importance of understanding the domain and codomain in function notation, particularly in relation to distance functions, which must yield non-negative real values. Additionally, the distinction between range and codomain is highlighted, with the consensus that the codomain for a metric is typically the non-negative reals.

PREREQUISITES
  • Understanding of function notation, specifically f: A → B.
  • Familiarity with Cartesian products, particularly X x X.
  • Basic knowledge of real numbers and their properties.
  • Introductory concepts in topology, specifically metric spaces.
NEXT STEPS
  • Study the properties of distance functions in metric spaces.
  • Learn about the differences between range and codomain in mathematical functions.
  • Explore various examples of metrics, such as the Euclidean metric and taxicab metric.
  • Review proofs related to metric properties, including the Minkowski inequality.
USEFUL FOR

Students and educators in mathematics, particularly those studying topology and metric spaces, as well as anyone interested in the foundational principles of mathematical functions.

  • #91
micromass said:
The problem is that you're working with finite topological spaces. Things are going to make more sense if you consider infinite topological spaces such as ##\mathbb{R}^2##. Try to work with my suggestion in post 84. This is going to make more sense to you than finite topological spaces.
Oh, okay. I'll try doing that. It usually helps me a lot to look a little simple examples I construct, to see why the theorems are true and "witness them" in that way, so it's a bit challenging when all of these simple examples I can do seem rather "degenerate."

But, just so we're super clear, when you say infinite topological spaces, what exactly does that mean? (is the set the topology is on of infinite cardinality, or is the topology of infinite cardinality, or are members of the topology of infinite cardinality?)
 
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  • #92
It means that the set should be countably infinite or, even better, uncountable. Topologies on finite sets are not rich enough for you to get anything fruitful out of, as far as examples go; this is why you keep running into confusions.
 
  • #93
1MileCrash said:
Oh, okay. I'll try doing that. It usually helps me a lot to look a little simple examples I construct, to see why the theorems are true and "witness them" in that way, so it's a bit challenging when all of these simple examples I can do seem rather "degenerate."

But, just so we're super clear, when you say infinite topological spaces, what exactly does that mean? (is the set the topology is on of infinite cardinality, or is the topology of infinite cardinality, or are members of the topology of infinite cardinality?)

Usually it means that the space ##X## is infinite, not that the topology is infinite. However, in this case, if ##\mathcal{T}## is finite, then the examples are still degenerate.

I know you don't like it, but topology really is most important when things are infinite. Unlike group theory or linear algebra, where we can see important concepts in the finite (finite-dimensional) case. Topology is very different.
 
  • #94
It's not that I don't like it, I just need to adapt. :)

Thanks again guys
 
  • #95
micromass said:
For example, you have no idea even what a generic open set in ##\mathbb{R}^2## looks like!
At least intuitively, an arbitrary open set in ##\mathbb{R}^2## seems like it would just be a countable union of regions bounded by piecewise contnuous functions. Is it more complicated than that?
 
  • #96
lugita15 said:
At least intuitively, an arbitrary open set in ##\mathbb{R}^2## seems like it would just be a countable union of regions bounded by piecewise contnuous functions. Is it more complicated than that?

OK, but continuous curves in the plane can be very very wild. The difficulty in proving the Jordan curve theorem shows this.

But what I meant is open balls ad rectangles are very well-behaved objects. We know exactly how they look like. We certainly do have an intuition how open sets look like, but I don't think we can ever give an explicit description.
 
  • #97
micromass said:
OK, but continuous curves in the plane can be very very wild. The difficulty in proving the Jordan curve theorem shows this.
Point taken; for instance space-filing curves. But is my characterization of open sets correct?
 
  • #98
lugita15 said:
Point taken; for instance space-filing curves. But is my characterization of open sets correct?

I don't see any obvious counterexamples. But I can't really produce a proof at this moment.
 
  • #99
micromass said:
I don't see any obvious counterexamples. But I can't really produce a proof at this moment.
I just started a thread about it here, where I try to phrase the question more formally.
 

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