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All norms on a finite-dimensional complex normed space are equivalent
Statement
Let be a complex vector space carrying two norms and , and suppose admits an ordered basis of finite length. Then and are equivalent in the sense of Equivalent norms, and the dictionary with equivalent metrics.
Facts & Assumptions
Given: A complex vector space with two norms and , and an ordered basis .
For either norm on , the basis map from with the coordinate norm is a topological isomorphism (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).
Equivalent norms are exactly those satisfying for some (Equivalent norms, and the dictionary with equivalent metrics).
Proof
Let be the common algebraic basis map . Applied to the norm , [L1] gives constants such that for every .
Applied to the norm , [L1] gives constants such that for every .
Let and write , which is possible and unique by [L1]. Then Interchanging and gives
Step 2.1 is exactly the two-sided estimate of [L2], so the two norms are equivalent.
Remarks
- The proof does not need a separate norm-comparison theorem on : one coordinate isomorphism for each norm already supplies the comparison.
- The published theorem For all norms on are equivalent remains the real base case on which A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space rests.
Depends on
- A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space
- Equivalent norms, and the dictionary with equivalent metrics
- For $n \ge 1$ all norms on $\mathbb{R}^n$ are equivalent
- $\mathbb C$ is the real coordinate plane, with coordinate arithmetic
- Real and complex scalar conventions for normed spaces
Used by
Dependency tree · two levels
35 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Daniel Daners, Introduction to Functional Analysis (standard reference, not scraped)
- Tomasz Kochanek, Functional analysis, Lecture 1 (standard reference, not scraped)