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AlgorithmAlgorithm: AI-adaptedProof: Not applicablePipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-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.

A finite periodic scalar-wave benchmark

Physical scope

A nondimensionalized, one-dimensional scalar wave benchmark on a periodic grid. It is not an Einstein evolution system, a production numerical-relativity solver, or an empirical model.

Definition

Use the first circle factor of the fixed periodic three-torus from the earlier fixed-gauge data definition. This item is a separate nondimensionalized scalar model: both the spatial coordinate x and time t are dimensionless, the period is 2π, and the model wave speed is 1. Let N≥3 be an integer, h:=2π/N, and xj:=jh(mod2π) for j∈Z/NZ. A periodic grid function is an N-tuple u=(uj)j∈Z/NZ of real numbers. Define the centered periodic second-difference operator

(Dhu)j:=uj+1−2uj+uj−1h2,

where subscripts are reduced modulo N.

The algorithm takes as input such arrays u0,v0, a real time step k>0, and an integer nmax⁡≥1. It sets

u1:=u0+kv0+k22Dhu0,

then, for each integer n=1,…,nmax⁡−1, computes

ujn+1:=2ujn−ujn−1+k2(Dhun)j(j∈Z/NZ).

It outputs (u0,u1,…,unmax⁡). All operations here are exact real arithmetic. No rounding-error model or claim about a floating-point implementation is part of the definition.

Remarks

The recurrence is the centered finite-difference model for the scalar equation utt=uxx. It is a one-dimensional diagnostic benchmark only; its stability properties do not establish convergence of a discretization of the Einstein equations. The initialization uses the second-order time expansion with the discrete spatial operator. The time step and mesh spacing are nondimensional, so their ratio has no unit conversion hidden in it.

Depends on

Dependency tree · 2 levels

Sources