A Didactic Journey from Statistical Physics to Thermodynamics
Mario Graml, Michael Riedl

TL;DR
This paper provides a detailed, axiomatic derivation of thermodynamics from statistical physics, clarifying key concepts, correcting misconceptions, and establishing rigorous formal connections between the two fields.
Contribution
It offers a comprehensive formalization of thermodynamic concepts derived from statistical physics, including ensembles, potentials, and the Legendre transform, with rigorous proofs and geometric insights.
Findings
Formal derivation of thermodynamics from statistical physics
Clarification of misconceptions such as Lagrange multipliers
Rigorous proofs of thermodynamic principles from axioms
Abstract
This paper offers a pedestrian guide from the fundamental properties of entropy to the axioms of thermodynamics, which are a consequence of the axiom of statistical physics. It also dismantles flawed concepts, such as assigning physical meaning to Lagrange multipliers and numerous others. This work also provides a comprehensive understanding of the Legendre transform via geometrical, mathematical and physical insights, as well as its connection to the experimental setup. The central result of this paper is the comprehensive formalisation of key concepts, including ensembles, variable dependencies, potentials and natural variables. Furthermore, the framework of thermodynamics, the state function and the Euler inequality are rigorously proven from the axiom of statistical physics.
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics
