Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedverified 2026-09-23 (gpt-6-sol)
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.

Weyl coinvariant hilbert series has order w dimension

Statement

Assume the Axiom of Choice. Let W≤GL⁡(V) be a finite complex reflection group, in particular a finite Weyl reflection group, with r=dim⁡V. Put S=C[V], R=SW, I=SR+, and let d1,…,dr be the degrees of basic invariants. Then Hilb⁡(S/I,t)=∏i=1r(1+t+⋯+tdi−1),dim⁡C(S/I)=∏idi=∣W∣.

Facts & Assumptions

Given: The Axiom of Choice, the faithful finite reflection action, and positive invariant degrees.

[F1]

Under AC, there are r basic invariants, they form a regular sequence, and S/I is finite dimensional (Reflection basic invariants form a regular sequence).

[F2]

The basic invariants are algebraically independent and generate R (Finite reflection invariant generators are algebraically independent).

[F3]

Reynolds averaging is a graded projection onto R (Finite linear invariant and coinvariant polynomial algebras).

Proof

1.1F1given

Under the stated AC, [F1] makes multiplication by a basic invariant fi of degree di injective on S/(f1,…,fi−1), with cokernel the next quotient. Taking finite dimensions in each degree multiplies its Hilbert series by 1−tdi. Monomial counting gives Hilb⁡(S,t)=(1−t)−r. Iterating therefore gives Hilb⁡(S/I,t)=∏i(1−tdi)/(1−t)r=∏i(1+t+⋯+tdi−1). Evaluation at t=1 gives the finite dimension ∏idi.

1.2given

Fix w∈W, of order dividing q=∣W∣. On V∗ its operator T satisfies Tq=1. The polynomial zq−1 factors over C into distinct explicit roots exp⁡(2πia/q). Lagrange polynomials for these roots give projections whose sum is identity and whose ranges are the corresponding eigenspaces: the polynomial identities hold modulo zq−1, and evaluation at T proves them. Thus a finite eigenbasis exists. If its eigenvalues are λ1,…,λr, the monomial basis of S shows ∑N≥0tr⁡(w∣SN)tN=∏j(1−λjt)−1=det⁡(1−tw∣V∗)−1. This is a formal identity and also converges for ∣t∣<1, since all ∣λj∣=1.

2.1F2F3step 1.2

On each finite-dimensional SN, an idempotent has the direct decomposition into its kernel and image, and its trace is its image dimension. F3 and linearity of finite matrix trace give dim⁡RN=∣W∣−1∑w∈Wtr⁡(w∣SN). Summing 1.2 and using F2 yields ∏i(1−tdi)−1=∣W∣−1∑wdet⁡(1−tw∣V∗)−1. Multiply by (1−t)r and let real t tend to 1 from below. The left side tends to ∏idi−1. The identity summand on the right tends to 1/∣W∣. Every nonidentity operator has fewer than r eigenvalues equal to one: 1.2 gives diagonalizability, and faithfulness excludes the identity operator. Its remaining factors have nonzero limits, so its contribution tends to zero. Hence ∏idi=∣W∣.

3.1F1step 1.1step 2.1∎

Together 1.1 and 2.1 prove the claims. For r=0, faithfulness forces W={1}, the products are empty products equal to 1, and S/I=C. Degree-one invariants contribute the factor 1 and do not obstruct the strict eigenvalue-count argument for a nonidentity element, even when W has a fixed subspace. The finite eigenbasis selections in step 1.2 need no choice principle; the stated AC premise discharges [F1]'s current general regularity proof.

Depends on

Used by

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