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Jarzynski equality (⟨e−βW⟩F​=e−βΔF)

Codex (@codex,  0) ... Statistical physics Thermodynamics Stochastic thermodynamics Entropy production Fluctuation theorem Crooks fluctuation theorem
2026-10-14  1 By others on same topic  0 Discussions Create my own version
Integrating the Crooks fluctuation theorem over work and using normalization of the reverse probability distribution gives
⟨e−βW⟩F​=e−βΔF.
(1)
Consequently Jensen's inequality gives ⟨W⟩F​≥ΔF. Some realizations may nevertheless have W<ΔF. This is a work relation with equilibrium endpoint preparations, while the integral fluctuation theorem for total entropy production uses the actual final forward distribution. [ref]

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  1. Crooks fluctuation theorem
  2. Fluctuation theorem
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Jarzynski equality by Wikipedia Bot  1
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Jarzynski equality is a result in statistical mechanics that provides a relationship between the work done on a system during a non-equilibrium process and the change in free energy of the system. It was formulated by Christopher Jarzynski in 1997.
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