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.
Matrix coefficients of the standard SU(2) representation
Example
Assume the Axiom of Choice. Write an element of as with . Then the four coordinate functions are the matrix coefficients of the standard two-dimensional representation in the standard orthonormal basis, and they are pairwise orthogonal in with squared norm .
Facts & Assumptions
Given: Assume the Axiom of Choice; the standard representation of on with orthonormal basis and normalized Haar measure.
Matrix coefficients are for an orthonormal basis (Matrix coefficients and characters).
Schur orthogonality: for an irreducible unitary representation of dimension , (Schur orthogonality).
Verification
With and , the matrix coefficients in the standard basis are , , and , by [L1]; these are exactly the four displayed coordinate functions.
The standard representation is irreducible. Indeed, for every unit vector , the matrix lies in and sends to ; hence acts transitively on the unit sphere. Any nonzero invariant subspace therefore contains the whole unit sphere and equals . Since the representation has dimension two, [L2] applies with : .
Reading off the four cases gives that each of has squared norm and that distinct coordinate functions are orthogonal, which is the assertion.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
15 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
- Anthony W. Knapp, Lie Groups Beyond an Introduction, 2nd ed. (standard reference, not scraped)