Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generated
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.

Quasistatic diagnostic for the ideal emitter model

Definition

Assume ACω as defined by The Axiom of Countable Choice (ACω) and use the fixed-reference mathematical emitter model of Exact ideal emitter mass ODE and entropy accounting, with positive constants G,c, a positive mass function M(t∞), and the model horizon radius rH(M)=2GM/c2. Here t∞ is measured in seconds, M in kilograms, rH in metres, G in m3 kg−1 s−2, and c in m s−1. For each t∞∈[0,τ], including the positive-mass cutoff endpoint supplied by the model, where M(τ)=Mmin⁡>0, define the selected crossing-time scale and dimensionless fractional-change diagnostic by

tcross(t∞):=rH(M(t∞))c,ϵqs(t∞):=∣M′(t∞)∣ tcross(t∞)M(t∞).

Thus tcross has units of seconds and ϵqs is dimensionless. This is a diagnostic defined from the adopted mass ODE and the chosen length scale rH/c; it is not a measured crossing time, an estimate of error against a time-dependent Einstein solution, or a proof that the ideal model approximates such a solution.

Depends on

Dependency tree · 2 levels

Sources