How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Finite-rank conjugation orbits are operator-norm continuous
Statement
Assume the Axiom of Choice. Let be a topological group and let be a strongly continuous unitary representation on a complex Hilbert space (Strongly continuous unitary representations, invariant linear subspaces and intertwiners, Hilbert space). Let be a bounded linear operator (A bounded linear operator between normed spaces) whose range is finite dimensional (that is, is a finite-rank operator). Then the conjugation orbit
is continuous from to for the operator norm (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
Facts & Assumptions
Given: a topological group , a strongly continuous unitary representation on a complex Hilbert space , and a bounded finite-rank operator .
The Axiom of Choice is assumed. (The Axiom of Choice)
For every the orbit map is norm continuous, and each is a bijective isometry, so and . (Strongly continuous unitary representations, invariant linear subspaces and intertwiners)
Countable Choice holds under AC, and it is the hypothesis of the Riesz representation theorem. (AC supplies the countable and dependent choices used in Banach integration, Riesz representation for Hilbert spaces)
A finite-dimensional inner product space has an orthonormal basis, and for an orthonormal basis of a finite-dimensional subspace every vector of that subspace satisfies . (Every finite-dimensional real or complex inner product space has an orthonormal basis, Bessel's inequality for a finite orthonormal list and Parseval's identity for an orthonormal basis)
Cauchy–Schwarz: . (Cauchy–Schwarz: , with equality exactly for dependent pairs)
The operator norm is a bound and a least bound: , and is the least such constant. (The operator norm as the least bound and as the unit-sphere or unit-ball supremum, A bounded linear operator between normed spaces)
Proof
The assumed Axiom of Choice supplies Countable Choice, so the Riesz representation theorem is available for bounded linear functionals on .
Since is finite dimensional, it has an orthonormal basis , and for every the vector lies in , so .
For fixed the rank-one operator is bounded with by Cauchy–Schwarz, so ; and for one has , because and is linear.
Each functional is bounded, since ; by Riesz representation there is for each a unique vector with for all , so .
Conjugating the finite sum of step 2.1 and using step 1.3 termwise gives for every .
For and vectors , , so ; applying this with , , , and using unitarity bounds by .
The finitely many orbit maps and are norm continuous at by strong continuity, so the bound of step 4.1 tends to zero as ; hence is continuous in operator norm at every .
Depends on
- Strongly continuous unitary representations, invariant linear subspaces and intertwiners
- Hilbert space
- A bounded linear operator between normed spaces
- The operator norm as the least bound and as the unit-sphere or unit-ball supremum
- The Axiom of Choice
- Riesz representation for Hilbert spaces
- Cauchy–Schwarz: $|\langle x,y\rangle|\le\|x\|\,\|y\|$, with equality exactly for dependent pairs
- Every finite-dimensional real or complex inner product space has an orthonormal basis
- Bessel's inequality for a finite orthonormal list and Parseval's identity for an orthonormal basis
- AC supplies the countable and dependent choices used in Banach integration
Used by
Dependency tree · two levels
39 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
- Vera Serganova, Representation Theory, Chapter III §§1.6–2.1 (standard reference, not scraped)