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相关论文: Microcanonical Origin of the Maximum Entropy Princ…

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Introduced by Boltzmann under the name "monode," the microcanonical ensemble serves as the fundamental representation of equilibrium thermodynamics in statistical mechanics by counting all possible realizations of a system's states.…

统计力学 · 物理学 2026-01-27 Roman Belousov , Jenna Elliott , Florian Berger , Lamberto Rondoni , Anna Erzberger

The paper demonstrates that the canonical probability distribution of the occupancy numbers of a bosonic system is multinomial, and shows how the thermodynamics of the canonical system descends from this distribution. The categorical…

统计力学 · 物理学 2025-11-25 Arnaldo Spalvieri

We prove that information-theoretic maximum entropy (MaxEnt) approach to canonical ensemble is mathematically equivalent to the classic approach of Boltzmann, Gibbs and Darwin-Fowler. The two approaches, however, "interpret" a same…

统计力学 · 物理学 2011-06-01 Hao Ge , Hong Qian

The maximum entropy principle (MEP) is a method for obtaining the most likely distribution functions of observables from statistical systems, by maximizing entropy under constraints. The MEP has found hundreds of applications in ergodic and…

经典物理 · 物理学 2016-10-03 Rudolf Hanel , Stefan Thurner , Murray Gell-Mann

We derive the microcanonical ensemble from the Maximum Entropy Principle (MEP) using the phase space volume entropy of P. Hertz. Maximizing this entropy with respect to the probability distribution with the constraints of normalization and…

统计力学 · 物理学 2008-02-15 Michele Campisi , Donald H. Kobe

The entropy definition in the microcanonical ensemble is revisited. We propose a novel definition for the microcanonical entropy that resolve the debate on the correct definition of the microcanonical entropy. In particular we show that…

统计力学 · 物理学 2019-08-15 Roberto Franzosi

Many complex systems are characterized by non-Boltzmann distribution functions of their statistical variables. If one wants to -- justified or not -- hold on to the maximum entropy principle for complex statistical systems (non-Boltzmann)…

统计力学 · 物理学 2009-11-13 Stefan Thurner , Rudolf Hanel

We extend the canonical Gibbs distribution, originally formulated for systems at equilibrium, to systems driven out of equilibrium. The stochastic dynamics of a small system are described by a probability distribution over discrete energy…

统计力学 · 物理学 2026-03-31 Jean-Luc Garden

For more than 100 years, one of the central concepts in statistical mechanics has been the microcanonical ensemble, which provides a way of calculating the thermodynamic entropy for a specified energy. A controversy has recently emerged…

统计力学 · 物理学 2016-07-04 Michael Matty , Lachlan Lancaster , William Griffin , Robert H. Swendsen

We propose a method to derive the stationary size distributions of a system, and the degree distributions of networks, using maximisation of the Gibbs-Shannon entropy. We apply this to a preferential attachment-type algorithm for systems of…

物理与社会 · 物理学 2020-03-17 Cornelia Metzig , Caroline Colijn

The thermodynamic maximum principle for the Boltzmann-Gibbs-Shannon (BGS) entropy is reconsidered by combining elements from group and measure theory. Our analysis starts by noting that the BGS entropy is a special case of relative entropy.…

统计力学 · 物理学 2008-11-26 Jörn Dunkel , Peter Talkner , Peter Hänggi

The Gibbs entropy of a macroscopic classical system is a function of a probability distribution over phase space, i.e., of an ensemble. In contrast, the Boltzmann entropy is a function on phase space, and is thus defined for an individual…

统计力学 · 物理学 2020-07-01 Sheldon Goldstein , Joel L. Lebowitz , Roderich Tumulka , Nino Zanghi

The fundamental assumption of statistical mechanics is that the system is equally likely in any of the accessible microstates. Based on this assumption, the Boltzmann distribution is derived and the full theory of statistical thermodynamics…

量子物理 · 物理学 2015-05-18 X. L. Huang , B. Cui , X. X. Yi

Tsallis has suggested a nonextensive generalization of the Boltzmann-Gibbs entropy, the maximization of which gives a generalized canonical distribution under special constraints. In this brief report we show that the generalized canonical…

统计力学 · 物理学 2021-04-28 Brian R. La Cour , William C. Schieve

The theory of probability shows that, as the fraction $X_n/Y\to 0$, the conditional probability for $X_n$, given $X_n+Y \in h_{\delta}:=[h, h+\delta]$, has a limit law $f_{X_n}(x)e^{-\psi_n(h_\delta)x}$, where $\psi_n(h_\delta) $ equals to…

数学物理 · 物理学 2021-08-11 Yu-Chen Cheng , Wenning Wang , Zhiyue Lu , Hong Qian

The microcanonical ensemble has long been a starting point for the development of thermodynamics from statistical mechanics. However, this approach presents two problems. First, it predicts that the entropy is only defined on a discrete set…

统计力学 · 物理学 2017-06-07 William Griffin , Michael Matty , Robert H. Swendsen

A principle of hierarchical entropy maximization is proposed for generalized superstatistical systems, which are characterized by the existence of three levels of dynamics. If a generalized superstatistical system comprises a set of…

统计力学 · 物理学 2012-06-22 Denis Nikolaevich Sob'yanin

The microscopic foundation of the generalized equilibrium statistical mechanics based on the Tsallis entropy is given by using the Gibbs idea of statistical ensembles of the classical and quantum mechanics. The equilibrium distribution…

统计力学 · 物理学 2007-05-23 A. S. Parvan

A multicanonical formalism is introduced to describe statistical equilibrium of complex systems exhibiting a hierarchy of time and length scales, where the hierarchical structure is described as a set of nested "internal heat reservoirs"…

统计力学 · 物理学 2012-11-15 Domingos S. P. Salazar , Giovani L. Vasconcelos

A question that is currently highly debated is whether the microcanonical entropy should be expressed as the logarithm of the phase volume (volume entropy, also known as the Gibbs entropy) or as the logarithm of the density of states…

统计力学 · 物理学 2015-05-28 Michele Campisi
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