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module module moderate

IndisputableMonolith.Thermodynamics.BoltzmannDistribution

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This module defines the Boltzmann distribution in Recognition Science by introducing energy levels with degeneracy, systems, Boltzmann factors, partition functions, and normalized probabilities. It would be cited by researchers deriving thermodynamic probabilities from the J-cost and RS constants. The module consists of definitions and basic lemmas for non-negativity and normalization.

claimEnergyLevel is a structure with energy $E$ and degeneracy $g$. The Boltzmann factor is $e^{-E}$, the partition function is $Z = sum g_i e^{-E_i}$, and the probability for each level is the normalized Boltzmann factor.

background

The module builds directly on IndisputableMonolith.Constants, which supplies the RS-native time quantum with doc-comment stating the fundamental RS time quantum (RS-native) where τ₀ = 1 tick. It also imports IndisputableMonolith.Cost to ground quantities in the J-cost framework of Recognition Science. Key objects introduced are EnergyLevel (an energy level with degeneracy), System, boltzmannFactor, partitionFunction, and probability, together with lemmas such as boltzmannFactor_pos and prob_normalized.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

This module supplies the foundational definitions for the Boltzmann distribution in the thermodynamics domain. It feeds parent theorems on thermodynamic equilibrium and entropy derivations within the Recognition framework, connecting the cost function to probabilistic system descriptions. No used_by edges are recorded yet.

scope and limits

depends on (2)

Lean names referenced from this declaration's body.

declarations in this module (29)