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The operator norm is a norm on the space of bounded linear operators
Statement
Let and be normed spaces over the same scalar field. On the vector space of bounded linear operators, the operator norm of The operator norm as the least bound and as the unit-sphere or unit-ball supremum is a norm.
Facts & Assumptions
Given: Bounded linear operators , a scalar , and a vector .
The operator norm is the supremum of over the unit ball of , and it satisfies for every (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
is the space of bounded linear operators, with pointwise addition and scalar multiplication (The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators).
Proof
By [L1], for every . If , then for every with , so there. If , apply this to to get , hence . Thus implies .
Conversely, if then for every in the unit ball, so the supremum in [L1] is . This proves definiteness.
For every with , [L2] and [L1] give . Taking the supremum over the unit ball yields . The reverse inequality is immediate when , and for the same estimate applied to gives . Hence .
For every with , [L2] and [L1] give . Taking the supremum over the unit ball gives .
Steps 1.1, 1.2, 1.3, and 1.4 are the norm axioms, so the operator norm is a norm on .
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
4 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
- Andrew Lin and Casey Rodriguez, MIT 18.102 Introduction to Functional Analysis (standard reference, not scraped)
- Theo Buhler and Dietmar A. Salamon, Functional Analysis (standard reference, not scraped)