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IndisputableMonolith.Thermodynamics.SecondLaw

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The SecondLaw module packages the Gibbs measure as a ProbabilityDistribution. It supplies the equilibrium reference for J-descent dynamics within Recognition Science thermodynamics. The module imports Cost, MaxEntFromCost, and RecognitionThermodynamics to establish this reference point for descent operators.

claimThe Gibbs measure is packaged as a ProbabilityDistribution $P$ that serves as the equilibrium reference for the J-descent dynamics.

background

RecognitionThermodynamics extends zero-temperature cost minimization (J=0) to finite Recognition Temperature TR. MaxEntFromCost proves that the Gibbs distribution emerges from maximum entropy subject to a cost constraint. The Cost module supplies the underlying J-cost function. This module packages that Gibbs measure as a ProbabilityDistribution for use in J-descent dynamics.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

This module supplies the equilibrium reference for J-descent dynamics and supports the second law in Recognition Science. It connects directly to the maximum-entropy derivation in MaxEntFromCost and the finite-temperature extension in RecognitionThermodynamics.

scope and limits

depends on (3)

Lean names referenced from this declaration's body.

declarations in this module (22)