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module module moderate

IndisputableMonolith.Thermodynamics.SecondLaw

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Module packages the Gibbs measure as a ProbabilityDistribution to serve as the equilibrium reference for J-descent dynamics. Researchers in Recognition Thermodynamics cite it when modeling finite-temperature equilibria derived from cost minimization. The module assembles this reference by importing the Gibbs form from MaxEntFromCost and the Recognition Temperature parameterization from RecognitionThermodynamics.

claimThe Gibbs measure is packaged as a probability distribution $P$ on the configuration space that maximizes entropy subject to a fixed average J-cost constraint at recognition temperature $T_R$.

background

Recognition Science extends zero-temperature cost minimization to finite Recognition Temperature $T_R$ in the RecognitionThermodynamics module, where $T_R$ parameterizes the strictness of J-minimization. MaxEntFromCost proves that the Gibbs distribution emerges from the principle of maximum entropy subject to a cost constraint. The Cost module supplies the underlying J-cost function. This module sits in the Thermodynamics domain and packages the resulting distribution as the reference equilibrium for J-descent dynamics.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

Supplies the equilibrium reference required for J-descent dynamics and free-energy constructions in the Second Law setting. It feeds the sibling definitions of JDescentOperator, evolve, and free_energy_step_le. The module connects the maximum-entropy result to the finite-temperature extension of Recognition Thermodynamics.

scope and limits

depends on (3)

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declarations in this module (22)