Affiliation:
1. Keldysh Institute of Applied Mathematics
Abstract
An important aspect related to the derivation of nonlinear power-law equations of Fokker–Planck–Kolmogorov correlated with the Sharma–Mittal entropy is analyzed in this work. In this case, the obtained diffusion equations are written in such a way that their stationary solutions are probability distributions that maximize the ShM entropy for non-extensive systems. The ansatz approach is used to obtain exact solutions of nonlinear nonstationary one-dimensional FPK equations associated with the Tsallis, Renyi, and Sharma–Mittal entropies.
Publisher
Keldysh Institute of Applied Mathematics
Cited by
2 articles.
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