Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedprecheck passjudge pass (gpt-6-luna)
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 softened two-body box

Example

Let B=[0,L]3 with L>0, choose N=2, mass m>0, regulator a>0, action reference h∗>0, and inverse temperature β>0. Use the softened Hamiltonian H(q1,q2,p1,p2)=∣p1∣2+∣p2∣22m−Gm2∣q1−q2∣2+a2 on B2×R6 with measure d3q1d3q2d3p1d3p2/(2!h∗6).

Facts & Assumptions

Given: The finite softened model, a positive-volume box, m,G,a,β,h∗>0.

[F1]

Every finite softened model on a positive finite-volume box has a finite positive Gibbs partition function and a normalized density for each β>0. (Finite gravitational Gibbs normalization and differentiable moments)

Verification

1.1givenF1algebra

For every (q1,q2)∈B2, the pair attraction is between −Gm2/a and 0, so the Hamiltonian has the exact form covered by [F1]. The box has volume L3>0 and finite, so all hypotheses apply.

2.1F1step 1.1∎

By [F1], 0<Z2(β)<∞ and pβ=Z2−1e−βH is a probability density relative to the stated dimensionless phase measure. This verifies the finite softened two-body preparation for every β>0; it makes no claim about the distinct point model or dynamical equilibration.

Depends on

Dependency tree · 2 levels

Sources