Alphabeta Math
AlgorithmAlgorithm: Literature-sourcedProof: Not applicablejudge 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.

BDF2 standard and rotational incremental pressure-correction variants

Definition

Fix d≥1, N≥2, h=1/N, ν>0, k>0, and a step n≥1. Supply un−1,un∈Vh with zero discrete divergence, a mean-zero pn∈Qh, and fn+1∈Vh whose components each have zero discrete mean, hd∑j∈JNfi,jn+1=0(1≤i≤d). Compute a predictor u~n+1∈Vh from 3u~n+1−4un+un−12k+νAhu~n+1+Ghpn=fn+1, then solve for the unique mean-zero ϕn+1∈Qh from Δhϕn+1=32kDhu~n+1. Set un+1=u~n+1−(2k/3)Ghϕn+1. Choose exactly one pressure update:

  • Standard incremental: pn+1=pn+ϕn+1.
  • Rotational incremental: pn+1=pn+ϕn+1−νDhu~n+1.

In both branches the pressure is gauged in Qh. Initial values u0,u1,p1 are supplied by the caller; no initialization accuracy, stability, or convergence rate is asserted here. The separate well-definedness theorem Well-definedness of the periodic pressure-correction solves ↗ verifies the predictor and pressure solves for either branch.

Depends on

Used by

Dependency tree · two levels

7 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