Abstract
Statistical mechanics is the application of probability theory to study the dynamics of systems of arbitrary number of particles (Gibbs, 1960; Bogoliubov, 1960; Bogolyubov, 1970). Equations with derivatives of non-integer order have many applications in physical kinetics (see, for example, (Zaslavsky, 2002, 2005; Uchaikin, 2008) and (Zaslavsky, 1994; Saichev and Zaslavsky, 1997; Weitzner and Zaslavsky, 2001; Chechkin et al., 2002; Saxena et al., 2002; Zelenyi and Milovanov, 2004; Zaslavsky and Edelman, 2004; Nigmatullin, 2006; Tarasov and Zaslavsky, 2008; Rastovic, 2008)). Fractional calculus is used to describe anomalous diffusion, and transport theory (Montroll and Shlesinger, 1984; Metzler and Klafter, 2000; Zaslavsky, 2002; Uchaikin, 2003a,b; Metzler and Klafter, 2004). Application of fractional integration and differentiation in statistical mechanics was also considered in (Tarasov, 2006a, 2007a) and (Tarasov, 2004, 2005b,a, 2006b, 2007b). Fractional kinetic equations usually appear from some phenomenological models. We suggest fractional generalizations of some basic equations of statistical mechanics. To obtain these equations, the probability conservation in a fractional differential volume element of the phase space can be used (Tarasov, 2006a, 2007a). This element can be considered as a small part of the phase space set with non-integer-dimension. We derive the Liouville equation with fractional derivatives with respect to coordinates and momenta. The fractional Liouville equation (Tarasov, 2006a, 2007a) is obtained from the conservation of probability to find a system in a fractional volume element.
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Tarasov, V.E. (2010). Fractional Statistical Mechanics. In: Fractional Dynamics. Nonlinear Physical Science, vol 0. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14003-7_15
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DOI: https://doi.org/10.1007/978-3-642-14003-7_15
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