Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-07
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.

Margulis family has uniform spectral gap

Statement

For every m2 the normalized Margulis adjacency has absolute nontrivial norm α73/80, hence algebraic gap at least 7/80. For m=1 the mean-zero space is zero and α=0.

Facts & Assumptions

Given: the objects and hypotheses in the statement above.

[F1]

For every integer m1 and every nonnegative function g on (Z/mZ)2 with g(0)=0, the quadratic expression Q in the Fourier reduction satisfies Q(g)7320zg(z)2. Consequently, for the forward/full adjacency operators and normalized transform in that reduction, f,Af(73/10)f2 for real mean-zero f. (Margulis diamond weight bound).

[F2]

Let V be a finite-dimensional real inner product space and let T:VV be self-adjoint. Then V has an orthonormal basis consisting of eigenvectors of T. (Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis).

Proof

1.1

The diamond bound and its Fourier consequence give f,Af(73/10)f2 for every real mean-zero f. Divide by the degree eight to get f,Mf(73/80)f2.

F1
2.1

The mean-zero subspace is invariant and M is real symmetric. In its orthonormal eigenbasis the preceding bound applied to each eigenvector gives μ73/80, so the operator norm has that bound. This controls negative as well as positive eigenvalues; in particular 1μ27/80. For m=1 use the zero-space norm convention directly.

F2step 1.1

Depends on

Used by

Dependency tree · two levels

6 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