every finite dimensional normed vector space is a Banach space
Theorem 1.
Every finite dimensional normed vector space is a Banach space
.
Proof. Suppose (V,∥⋅∥) is the normed vector space, and (ei)Ni=1 is a basis for V. For x=∑Nj=1λjej, we can then define
∥x∥′=√N∑j=1|λj|2 |
whence ∥⋅∥′:V→ℝ is a norm for V.
Since
all norms on a finite dimensional vector space are equivalent (http://planetmath.org/ProofThatAllNormsOnFiniteVectorSpaceAreEquivalent),
there is a constant C>0 such that
1C∥x∥′≤∥x∥≤C∥x∥′,x∈V. |
To prove that V is a Banach space, let x1,x2,… be a Cauchy sequence
in (V,∥⋅∥). That is,
for all ε>0 there is an M≥1 such that
∥xj-xk∥<ε,for allj,k≥M. |
Let us write each xk in this sequence in the basis (ej)
as xk=∑Nj=1λk,jej for some constants
λk,j∈ℂ.
For k,l≥1 we then have
∥xk-xl∥ | ≥ | 1C∥xk-xl∥′ | ||
≥ | 1C√N∑j=1|λk,j-λl,j|2 | |||
≥ | 1C|λk,j-λl,j| |
for all j=1,…,N.
It follows that
(λk,1)∞k=1,…,(λk,N)∞k=1
are Cauchy sequences in ℂ. As ℂ is complete, these converge
to
some complex numbers λ1,…,λN.
Let x=∑Nj=1λjej.
For each k=1,2,…, we then have
∥x-xk∥ | ≤ | C∥x-xk∥′ | ||
≤ | C√N∑j=1|λj-λk,j|2. |
By taking k→∞ it follows that (xj) converges to x∈V. □
Title | every finite dimensional normed vector space is a Banach space |
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Canonical name | EveryFiniteDimensionalNormedVectorSpaceIsABanachSpace |
Date of creation | 2013-03-22 14:56:31 |
Last modified on | 2013-03-22 14:56:31 |
Owner | matte (1858) |
Last modified by | matte (1858) |
Numerical id | 10 |
Author | matte (1858) |
Entry type | Theorem |
Classification | msc 46B99 |