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The random-variable canonical distribution

L E Beghian1,2 and E Sheldon2

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An alternative interpretation to Gibbs' concept of the canonical distribution for an ensemble of systems in statistical equilibrium is proposed. Whereas Gibbs' theory is based upon a consideration of systems subject to dynamical law, the present analysis relies neither on the classical equations of motion nor makes use of any a priori probability of a complexion; rather, it makes avail of the basic algebra of random variables and, specifically, invokes the law of large numbers. Thereby, a canonical distribution is derived which describes a macrosystem in probabilistic, rather than deterministic, terms, and facilitates the understanding of energy fluctuations which occur in macrosystems at an overall constant ensemble temperature. A discussion is given of a modified form of the Gibbs canonical distribution which takes full account of the effects of random energy fluctuations. It is demonstrated that the results from this modified analysis are entirely consonant with those derived from the random-variable approach.


PACS

05.40.-a Fluctuation phenomena, random processes, noise, and Brownian motion

05.70.Ce Thermodynamic functions and equations of state

05.20.Gg Classical ensemble theory

MSC

82B30 Statistical thermodynamics (See also 80-XX)

60K35 Interacting random processes; statistical mechanics type models; percolation theory (See also 82B43, 82C43)

82B05 Classical equilibrium statistical mechanics (general)

Subjects

Statistical physics and nonlinear systems

Dates

Issue 14 (13 April 2001)

Received 22 August 2000, in final form 12 January 2001



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