pith. sign in
def

effectivePrimePhaseInput_of_rsPrimePhaseEquidistribution

definition
show as:
module
IndisputableMonolith.NumberTheory.EffectivePrimePhaseInput
domain
NumberTheory
line
67 · github
papers citing
none yet

plain-language theorem explainer

This definition extracts the effective prime phase input from an RSPrimePhaseEquidistribution structure. Researchers closing the residual Erdős-Straus chain in Recognition Science cite it to connect RCL prime-ledger phase distribution to the bounded generator supply required for subset-product hits. The implementation is a direct one-line field projection.

Claim. Let $RS$ be a structure consisting of an effective prime phase input together with a marker that the input originates from the recognition composition law prime-ledger machinery. The map $RS$ to effective input returns the effective prime phase input component of $RS$.

background

The module states the exact prime-distribution input needed for the residual Erdős-Straus proof and proves that it implies PrimePhaseBoxDistribution. EffectivePrimePhaseInput is the structure whose bound function and supplies_generators clause together assert that every residual trap $n$ admits a $c$ at most the bound, with $c$ an admissible hard gate and the subset-product phase hit nonempty. RSPrimePhaseEquidistribution is the intended source structure whose effective_input field is marked as coming from RCL/J-cost prime-ledger phase distribution rather than finite search.

proof idea

The definition is a one-line wrapper that projects the effective_input field from the supplied RSPrimePhaseEquidistribution structure.

why it matters

It supplies the argument to erdos_straus_residual_from_rsPrimePhaseEquidistribution, which in turn yields the rational Erdős-Straus representation for residual traps via the effective-input version of the same theorem. The definition therefore closes the final interface between the Recognition Science RCL machinery and the number-theoretic residual proof, completing the prime phase distribution step required by the framework.

Switch to Lean above to see the machine-checked source, dependencies, and usage graph.