Finite dimensional normed vector spaces complete ?

In summary: Having said that, I would not include the comment about the field in the summary, because it is not part of the main argument, it's just a convention.In summary, to show that finite dimensional normed vector spaces are complete, it is sufficient to prove that if a Cauchy sequence in the space is bounded, then it has a convergent subsequence. This can be done by showing that the sequence belongs to a compact set and has an adherence value, which implies convergence. Additionally, it is commonly understood in functional analysis that the underlying field of the vector space is either ##\mathbb{R}## or ##\mathbb{C}##, and in both cases, the statement holds.
  • #1
geoffrey159
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Homework Statement


Show that finite dimensional normed vector spaces are complete.

Homework Equations


##E## is a finite dimensional vector space and ##N## a norm on ##E##

The Attempt at a Solution



If ##\{x_n\}_n## is a Cauchy sequence in ##(E,N)##, then it is bounded and each term of the Cauchy sequence belongs to a closed ball of ##E## centered in 0 with radius ##r = \text{sup}_n\{N(x_n)\}##. This ball is compact in finite dimension, so ##\{x_n\}_n## has at least an adherence value in this ball, and a Cauchy sequence that has an adherence value converges to this value. Which proves ##E## is complete. Is it correct ?
 
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  • #2
geoffrey159 said:
Is it correct ?
Very nearly, I would say.
geoffrey159 said:
so ##\{x_n\}_n## has at least an adherence value in this ball,
In my opinion, an adherent point is something that pertains to a set, not to a sequence. I would say: ##(x_n)_n## has a subsequence that converges to a point ##x## in the ball...
geoffrey159 said:
and a Cauchy sequence that has an adherence value converges to this value.
...and a Cauchy sequence that admits a subsequence converging to ##x## will converge to ##x## as well.
 
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OK I get it. Thanks !
 
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  • #4
A finite dimensional vector space over a complete field is complete. You don't say anything about the underlying field of the vector space. If you intend it to be the field of all real numbers, you should say that!
 
  • #5
HallsofIvy said:
A finite dimensional vector space over a complete field is complete. You don't say anything about the underlying field of the vector space. If you intend it to be the field of all real numbers, you should say that!
Sorry, but this I find rather unnecessary nitpicking, phrased in a rather unfriendly manner. The OP has clearly made an above average effort to be precise and accurate when he asked his question. Other posters could learn from this.

In standard functional analysis, when the field is not specified, it is always understood that the field must be ##\mathbb{R}## or ##\mathbb{C}##. In both cases, the statement holds. (When the problem involves spectral theory (not the case here) it is of course always assumed that the field is ##\mathbb{C}##.)
 
  • #6
I agree, it's pretty obvious that the field should be ##\mathbb{R}## or ##\mathbb{C}##. And this is not the fault of the OP, since he clearly said "normed vector space", which implies it. So the nitpicking is incorrect.
 

1. What is a finite dimensional normed vector space?

A finite dimensional normed vector space is a mathematical concept that describes a vector space with a finite number of dimensions, where each vector has a magnitude or length (norm) associated with it. This norm, or distance, is used to measure the size of the vectors and is essential for defining concepts such as convergence and continuity.

2. How is completeness defined in a finite dimensional normed vector space?

In a finite dimensional normed vector space, completeness is defined as the property that all Cauchy sequences (sequences where the difference between consecutive terms approaches zero) converge to a limit within the same space. This means that the space contains all of its limit points and has no "holes" or gaps.

3. How is completeness related to convergence in a finite dimensional normed vector space?

In a finite dimensional normed vector space, completeness is closely related to convergence. A normed vector space is complete if and only if every Cauchy sequence converges to a point within the same space. This means that a sequence of vectors is considered to be convergent if it also satisfies the Cauchy criterion.

4. How does the completeness of a finite dimensional normed vector space affect its applications?

The completeness of a finite dimensional normed vector space is crucial for many applications in mathematics and science. It allows for the use of powerful mathematical tools such as the Banach fixed-point theorem and the Baire category theorem, which are used in the study of differential equations, optimization problems, and other important areas of mathematics.

5. Can a finite dimensional normed vector space be incomplete?

No, a finite dimensional normed vector space cannot be incomplete. This is because finite dimensional spaces are always complete, regardless of the choice of norm. In contrast, infinite dimensional normed vector spaces can be either complete or incomplete, depending on the chosen norm and the underlying space.

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