Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedprecheck pass
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.

Bounded per-step state perturbations add a separate linear energy term

Statement

Use the analytic data and small step of Analytic Verlet retains order-two energy accuracy on exponential times. Suppose computed points xj∈K satisfy ∥xj+1−Ψh(xj)∥≤η, for 0≤j<n, with η≥0 small enough that all comparison segments lie in D(ρ/8). Then

∣H(xn)−H(x0)∣≤2CEh2+Cnhe−c/h+CGnη.

In particular the state-error contribution is CG(t/h)η for t=nh. This is a deterministic additive-error hypothesis, not an analysis of floating-point arithmetic or a claim of rounded symplecticity.

Facts & Assumptions

Given: The stated computed points, perturbation bound, domain segments and analytic constants.

Proof

1.1givenF1algebra

Per-step estimate. Compare xj+1 first with Ψh(xj) and then with the modified-flow endpoint. Integrating the gradient along the two stated segments gives ∣Hh(xj+1)−Hh(xj)∣≤CGη+Che−c/h, using conservation at the modified endpoint.

2.1step 1.1F1algebra∎

Sum and compare. Summation gives ∣Hh(xn)−Hh(x0)∣≤CGnη+Cnhe−c/h. Adding the two endpoint bounds ∣Hh−H∣≤CEh2 proves the displayed result, including n=0 and η=0.

Depends on

Dependency tree · 2 levels

Sources