How statement and proof provenance work
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
A normed space is locally compact if and only if it is finite-dimensional
Statement
Let be a normed space over , equipped with its norm topology. Then the following are equivalent.
- is locally compact (Locally compact topological space: every point has a compact neighbourhood; and what this says in a metric space).
- admits an ordered basis of finite length.
This is the page's precise reading of "finite-dimensional".
Facts & Assumptions
Given: A normed space over .
A chosen ordered basis yields a topological isomorphism with a coordinate space (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).
Riesz's lemma: for every proper closed normed subspace and there is a unit vector at distance from (Riesz lemma).
Compact metric spaces are totally bounded (A compact metric space is complete and totally bounded, and neither implication uses any choice principle).
is locally compact for ( is locally compact and -compact).
is the real coordinate plane ( is the real coordinate plane, with coordinate arithmetic).
In a metric space, local compactness at a point is equivalent to the existence of an open ball around that point contained in a compact subset (Locally compact topological space: every point has a compact neighbourhood; and what this says in a metric space).
Proof
Assume admits an ordered basis of length . If , the coordinate space is locally compact by [L4] when , and is compact, hence locally compact. If , then identifies with by [L5], so the same conclusion holds there. By [L1], is homeomorphic to that coordinate space, hence locally compact.
Assume now that is locally compact. By [L6], applied to the norm metric, has a compact neighbourhood containing some open ball with . The closed ball is a closed subset of and is therefore compact.
For the successor step, let . The finite list generates , so by deleting dependent terms if necessary one gets an ordered basis of finite length for . Thus by the contradiction hypothesis, and A finite-dimensional normed subspace is closed makes closed. Applying [L2] with yields a unit vector with . In particular for every . [L2, A finite-dimensional normed subspace is closed, choose]
Suppose for contradiction that admits no ordered basis of finite length. We recursively build, for each , unit vectors such that For choose any nonzero and normalize it.
Every lies in the closed ball after rescaling by : namely satisfies , so lies in that compact set. Also
By [L3], the compact metric space is totally bounded. Taking , it admits a finite -net. But one -ball can contain at most one of the points , since distinct ones are more than apart. Therefore a finite -net cannot cover arbitrarily large finite sets , contradiction.
The contradiction in step 4.1 shows that must admit an ordered basis of finite length. Together with step 1.1, this proves the equivalence.
Remarks
- The reverse implication uses only one finite recursion at a time. No choice principle is needed.
Depends on
- A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space
- Riesz lemma
- Locally compact topological space: every point has a compact neighbourhood; and what this says in a metric space
- The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
- A compact metric space is complete and totally bounded, and neither implication uses any choice principle
- $\mathbb{R}^n$ is locally compact and $\sigma$-compact
- $\mathbb C$ is the real coordinate plane, with coordinate arithmetic
- A finite-dimensional normed subspace is closed
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- Tomasz Kochanek, Functional analysis, Lecture 1 (standard reference, not scraped)
- Gerald Teschl, Topics in Real and Functional Analysis (standard reference, not scraped)