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module module high

IndisputableMonolith.Thermodynamics.SecondLaw

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This module packages the Gibbs measure as a ProbabilityDistribution to serve as the equilibrium reference for J-descent dynamics. It imports the cost function and maximum-entropy results to define the fixed point under Recognition Temperature. The module supplies the reference state needed for thermodynamic evolution arguments in Recognition Science. It contains no proofs and consists of definitions plus supporting lemmas.

claimThe central object is the Gibbs probability distribution $\mathrm{GibbsPD}$ obtained by maximizing entropy subject to a fixed $J$-cost constraint, acting as the equilibrium measure for the evolution operator under finite Recognition Temperature $T_R$.

background

Recognition Science extends $T=0$ cost minimization to finite Recognition Temperature $T_R$ in the RecognitionThermodynamics module. The upstream MaxEntFromCost result establishes that the Gibbs distribution arises as the unique maximum-entropy state under a $J$-cost constraint. The present module packages that distribution as a ProbabilityDistribution to serve as the reference state for J-descent dynamics.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the equilibrium reference required by the J-descent operator and free-energy lemmas listed among its siblings. It therefore feeds the formulation of the second law within the Recognition Thermodynamics framework.

scope and limits

depends on (3)

Lean names referenced from this declaration's body.

declarations in this module (22)