Publication | Open Access
Constructing a statistical mechanics for Beck-Cohen superstatistics
165
Citations
33
References
2003
Year
EngineeringComputational ChemistryMathematical Statistical PhysicMathematical StatisticBg FormalismThermodynamic ModellingSecond StageGibbs MeasureThermodynamicsStatisticsBiophysicsStatistical MechanicsPhysicsProbability TheoryStatistical ScienceNon-equilibrium ProcessEntropyBeck-cohen SuperstatisticsEquilibrium ThermodynamicsDifferent StagesStatistical InferenceMedicine
The basic aspects of both Boltzmann-Gibbs (BG) and nonextensive statistical mechanics can be seen through three different stages. First, the proposal of an entropic functional (S(BG)=-k Sigma(i)p(i)ln p(i) for the BG formalism) with the appropriate constraints (Sigma(i)p(i)=1 and Sigma(i)p(i)E(i)=U for the BG canonical ensemble). Second, through optimization, the equilibrium or stationary-state distribution (p(i)=e(-betaE(i))/Z(BG) with Z(BG)= Sigma(j)e(-betaE(j)) for BG). Third, the connection to thermodynamics (e.g., F(BG)=-(1/beta)ln Z(BG) and U(BG)=-(partial differential/partial differential beta)ln Z(BG)). Assuming temperature fluctuations, Beck and Cohen recently proposed a generalized Boltzmann factor B(E)= integral (infinity)(0)dbetaf(beta)e(-betaE). This corresponds to the second stage described above. In this paper, we solve the corresponding first stage, i.e., we present an entropic functional and its associated constraints which lead precisely to B(E). We illustrate with all six admissible examples given by Beck and Cohen.
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