Compactness and space dimension question

In summary: Then you could try to see if there's a way to apply the first theorem to a set that doesn't have all three of those properties.
  • #1
Epsilon36819
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I am having trouble accepting two well known results of analysis as non contradictory.

First, given a vector space equipped with norm ||.||, the unit ball is compact iff the space is finite dimensional.

Second, the Arzela-Ascoli theorem asserts that given a compact set X, a set S contained in the space of all continuous functions f(X) equipped with the supremum norm is compact iff it is uniformly closed, uniformly bounded and equicontinuous.

My problem is the following: let S be the set of all equicontinuous functions on X with ||f|| <= 1, where ||.|| is the supremum norm. Is the space of all equicontinuous functions not an infinite dimensional subspace? Yet S is compact.

I realize there is something fundamental I'm not getting. Please help! :confused:
 
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  • #2
The limit of an equicontinuous uniformly converging sequence is continuous, but not necessarily equicontinuous if I recall correctly. Hence you don't have closure, and thus the space isn't compact.

I've never really done anything with equicontinuous functions, so I could be wrong
 
  • #3
Can't we use an epsilon/3 argument, just as in the proof that uniform convergence of continuous functions => continuity of the limit? In this case, the given delta valid for fn will be the one used for f, so f will be part of the equicontinuous family.

Now that I think of it, though, I don't think that the set of equicontinuous functions is closed under addition and scalar multiplication, hence it is not a subspace.

Nonetheless, it's still foggy to me why the first thm applies only to vector spaces, and not sets.
 
  • #4
Well, it needs to be a vector space for norm, unit ball and finite dimensional to be defined.
 
  • #5
It can be a subset of a vector space.
 
  • #6
It doesn't make sense to speak of an equicontinuous function. Equicontinuity is a property of sets of functions.

So in your original post, the following bit is nonsensical:
Epsilon36819 said:
let S be the set of all equicontinuous functions on X with ||f|| <= 1
 
  • #7
Epsilon36819 said:
It can be a subset of a vector space.

In such a case there's no reason to believe it contains any unit vectors. And the set still has no dimension on it unless it's a vector space itself
 
  • #8
Epsilon36819 said:
Nonetheless, it's still foggy to me why the first thm applies only to vector spaces, and not sets.
One common thing to do in mathematics is to generalize a theorem by carefully studying its proof, and removing unused hypotheses, or weakening overly strong hypotheses.

So, you could try to do that here -- study the proof to see exactly what properties of "normed vector spaces", "unit balls", and "dimension' are being used here, and which aren't.
 

FAQ: Compactness and space dimension question

What is the concept of compactness in mathematics?

Compactness is a mathematical concept that describes the property of a space or set being "small" or "finite". It can also be thought of as the absence of any "holes" or "gaps" in a space.

How is compactness related to space dimension?

In mathematics, the concept of compactness is closely related to the concept of space dimension. A space is said to be compact if it is finite-dimensional, meaning that it can be fully described using a finite number of coordinates or dimensions.

What are some examples of compact spaces?

Some examples of compact spaces include closed intervals on the real number line, finite sets, and spheres in higher dimensions. The concept of compactness can also be applied to more abstract mathematical objects such as topological spaces.

How is compactness useful in mathematics?

The concept of compactness is useful in many areas of mathematics, including topology, analysis, and geometry. It allows mathematicians to study and generalize properties of finite-dimensional spaces to more abstract spaces, and it also has applications in fields such as physics and economics.

What is the difference between compactness and completeness?

While compactness refers to the "size" or "finite-ness" of a space, completeness refers to the property of a space being "closed" or "having no gaps". A space can be both compact and complete, but they are distinct concepts in mathematics.

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