On the construction of a family of anomalous-diffusion Fokker–Planck−Kolmogorov’s equations based on the Sharma–Taneja–Mittal entropy functional

A. Kolesnichenko
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Abstract

A logical scheme for constructing thermodynamics of anomalous stochastic systems based on the nonextensive two-parameter (κ, ς) -entropy of Sharma–Taneja–Mittal (SHTM) is considered. Thermodynamics within the framework (2 - q) -statistics of Tsallis was constructed, which belongs to the STM family of statistics. The approach of linear nonequilibrium thermodynamics to the construction of a family of nonlinear equations of Fokker−Planck−Kolmogorov (FPK), is used, correlated with the entropy of the STM, in which the stationary solution of the diffusion equation coincides with the corresponding generalized Gibbs distribution obtained from the extremality (κ, ς) - entropy condition of a non-additive stochastic system. Taking into account the convexity property of the Bregman divergence, it was shown that the principle of maximum equilibrium entropy is valid for (κ, ς) - systems, and also was proved the H - theorem determining the direction of the time evolution of the non-equilibrium state of the system. This result is extended also to non-equilibrium systems that evolve to a stationary state in accordance with the nonlinear FPK equation. The method of the ansatz- approach for solving non-stationary FPK equations is considered, which allows us to find the time dependence of the probability density distribution function for non-equilibrium anomalous systems. Received diffusive equations FPК can be used, in particular, at the analysis of diffusion of every possible epidemics and pandemics. The obtained diffusion equations of the FPK can be used, in particular, in the analysis of the spread of various epidemics and pandemics.
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基于Sharma-Taneja-Mittal熵泛函的一类反常扩散Fokker-Planck−Kolmogorov方程的构造
提出了一种基于Sharma-Taneja-Mittal (SHTM)的非扩展双参数(κ, ς)熵构造异常随机系统热力学的逻辑方案。建立了Tsallis (2 - q) -统计框架内的热力学,该框架属于STM统计族。利用线性非平衡热力学的方法构造了一类与STM熵相关的Fokker - Planck - Kolmogorov (FPK)非线性方程,其中扩散方程的平稳解与非加性随机系统的极值(κ, ς) -熵条件得到的相应的广义Gibbs分布相吻合。考虑Bregman散度的凸性,证明了最大平衡熵原理对(κ, ς) -系统是有效的,并证明了决定系统非平衡状态时间演化方向的H -定理。这一结果也推广到非平衡系统,根据非线性FPK方程演化为稳态。本文考虑了求解非平稳FPK方程的ansatz方法,该方法使我们能够找到非平衡异常系统的概率密度分布函数的时间依赖性。收到的扩散方程FPК可特别用于分析每一种可能的流行病和流行病的扩散。所得的FPK扩散方程可特别用于分析各种流行病和流行病的传播。
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