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LeanPool.TwoColoringOneRound.MainResults

Distributed2Coloring: Main results #

This file collects the public-facing theorems connecting:

We also package these bounds as statements about an infimum p⋆ over all measurable local rules.

The optimal monochromatic-edge probability over all one-round ClassicalAlgorithms.

This corresponds to the quantity p⋆ := inf_f p(f) in theory/report/manuscript.tex, where the infimum ranges over all measurable local rules.

Equations
Instances For

    If c is a lower bound for ClassicalAlgorithm.p for every algorithm, then c ≤ pStar.

    If there exists an algorithm achieving p ≤ c, then pStar ≤ c.

    In particular, any explicit construction gives an upper bound on pStar.

    Numerical bounds (as in the manuscript) #

    The bridge step is Distributed2Coloring.p_ge_23879 from Distributed2Coloring/Reduction.lean.

    Every one-round algorithm has monochromatic-edge probability at least 0.23879.

    An explicit one-round algorithm achieves monochromatic-edge probability at most 0.24118.