Representation Qit
Exercise PLAN-102
primary source nl only. Current content-bound mathematical second pass accepted. No new Lean verification is claimed for this NL view.
Assumptions and conventions
Question
Let (phi, V) be a finite-dimensional complex representation of a finite group G, and let <.|.> be any inner product on V. Define the averaged form <v|w>_G := (1/|G|) sum_{g in G} <phi(g) v | phi(g) w>. Prove that (a) <.|.>_G is again an inner product on V; (b) every phi(g) is unitary with respect to <.|.>_G, i.e. <phi(g) v | phi(g) w>_G = <v|w>_G; and (c) consequently, for any G-invariant subspace W, its orthogonal complement W^perp taken with respect to <.|.>_G is also G-invariant, so that V = W (+) W^perp as representations. Explain exactly where the ability to average over G is used.
Hint: mathematical route
Averaging an arbitrary inner product over a finite group yields a G-invariant inner product making the representation unitary, so orthogonal complements of invariant subspaces are invariant.
- Each term <phi(g)v|phi(g)w> is sesquilinear/Hermitian; the g=e term gives definiteness, so <.|.>_G is an inner product.
- <phi(h)v|phi(h)w>_G = (1/|G|) sum_g <phi(gh)v|phi(gh)w> by the homomorphism property.
- Reindexing g'=gh (a bijection of G) shows the average is unchanged, so phi(h) is unitary for <.|.>_G.
- Unitarity gives phi(g)^* = phi(g^{-1}); for u in W^perp, w in W, <phi(g)u|w>_G = <u|phi(g^{-1})w>_G = 0.
- Hence W^perp is G-invariant and V = W (+) W^perp as representations.
Reference solution
(a) Each summand <phi(g)v | phi(g)w> is sesquilinear in (v,w) because phi(g) is linear and <.|.> is sesquilinear, and a finite average of sesquilinear forms is sesquilinear; Hermitian symmetry is inherited termwise. For positivity, <v|v>_G = (1/|G|) sum_g <phi(g)v | phi(g)v> >= 0 as an average of nonnegative terms, and it vanishes only if every term is 0; the g = e term gives <v|v> = 0, hence v = 0 since <.|.> is definite. So <.|.>_G is a genuine inner product. (b) Fix h in G. Then <phi(h)v | phi(h)w>_G = (1/|G|) sum_g <phi(g)phi(h)v | phi(g)phi(h)w> = (1/|G|) sum_g <phi(gh)v | phi(gh)w> by the homomorphism property. As g ranges over G so does g' = gh (left translation is a bijection of G), so the sum equals <v|w>_G. Thus phi(h) preserves <.|.>_G and is unitary for it. (c) Let W be G-invariant and u in W^perp. For any g and w in W, <phi(g)u | w>_G = <u | phi(g)^* w>_G = <u | phi(g^{-1}) w>_G, using that the adjoint of the <.|.>_G-unitary phi(g) is phi(g)^{-1} = phi(g^{-1}). Invariance gives phi(g^{-1}) w in W, so the pairing is 0; hence phi(g)u in W^perp and W^perp is invariant. Then V = W (+) W^perp (nondegeneracy) with both summands invariant, a decomposition of representations. The averaging over G is used exactly twice: forming the normalized sum (1/|G|) sum_g requires it to be finite (compact groups replace it by Haar integration), and the reindexing g -> gh being a bijection is what makes the form G-invariant.
Assessment rubric
- Shows <.|.>_G is sesquilinear, Hermitian, and positive-definite, using the g=e term for definiteness (1 weight)
- Proves G-invariance of <.|.>_G via the homomorphism property and the reindexing g -> gh being a bijection of G (1 weight)
- Deduces each phi(g) is unitary for <.|.>_G and uses phi(g)^* = phi(g^{-1}) to show W^perp is invariant when W is (1 weight)
- Concludes V = W (+) W^perp as representations and pinpoints the normalized average and reindexing as the essential ingredient (1 weight)
Graph-grounded prerequisites
These are support/source anchors, not an automatically extracted theorem-dependency proof.
- Operator and semigroup theory (frozen curriculum anchor; see graph registry)
- Matrix analysis (frozen curriculum anchor; see graph registry)
Lean view and evidence boundary
No aligned Lean view has been admitted for this native core in this textbook checkpoint. This is not a claim that the underlying mathematics lacks a formal proof. Contributions must preserve this exact target contract and split.
Sources and provenance
- website/research/sources.json
leditzky-2025-repth-qit
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Graph snapshot: qcb-snapshot-ffa644f0da3031a1ce754b9a
Authored support steps: 5. This is not measured graph distance or model difficulty.