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Why Ergodic Theory Does Not Explain the Success of Equilibrium Statistical Mechanics

Datos Bibliográficos

ID8398705
AutoresJohn Earman (University of Pittsburgh), Miklós Rédei (0000-0001-5298-1443, University of Pittsburgh)
Año1996
Volumen47
Número1
Páginas63-78
Fecha de publicación1996-03-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaThe British Journal for the Philosophy of Science (JOURNAL)
Identificadores de la revistaISSN: 0007-0882 • E-ISSN: 1464-3537
EditorialOxford University Press (PUBLISHER • GB)
DOI10.1093/bjps/47.1.63
OpenAlexW2053428210
IdiomaEN
Citas recibidas29
Referencias citadas14

We argue that, contrary to some analyses in the philosophy of science literature, ergodic theory falls short in explaining the success of classical equilibrium statistical mechanics. Our claim is based on the observations that dynamical systems for which statistical mechanics works are most likely not ergodic, and that ergodicity is both too strong and too weak a condition for the required explanation: one needs only ergodic-like behaviour for the finite set of observables that matter, but the behaviour must ensure that the approach to equilibrium for these observables is on the appropriate time-scale.

Classical mechanics · Epistemology · Ergodic theory · Ergodicity · Invariant measure · Mathematical analysis · Mathematical economics · Observable · Physics · Quantum mechanics · Stationary ergodic process · Statistical Mechanics · Statistical physics · Statistics · Theoretical physics · Advanced Thermodynamics and Statistical Mechanics · Mathematics · Philosophy · Philosophy and History of Science · Statistical Mechanics and Entropy

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Obras citantes distintas29
Citas por año1
Intervalo de citas1997 - 2022 (26)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 20
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