A Piecewise Linear Maximum Entropy Method for Invariant Measures of Random Maps with Position-Dependent Probabilities

DOI10.1142/S0218127418501547zbMath1403.37090OpenAlexW2900558808MaRDI QIDQ4560150

Tulsi Upadhyay, Jiu Ding, Congming Jin

Publication date: 5 December 2018

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127418501547

zbMATH Keywords

invariant measuresmaximum entropy principleMarkov operatorsrandom maps

Mathematics Subject Classification ID

Entropy and other invariants, isomorphism, classification in ergodic theory (37A35) Computational methods for ergodic theory (approximation of invariant measures, computation of Lyapunov exponents, entropy, etc.) (37M25)

Related Items

Piecewise convex deterministic dynamical systems and weakly convex random dynamical systems and their invariant measures ⋮ Solving linear Volterra integral equations with a piecewise linear maximum entropy method ⋮ A Linear Spline Markov Approximation Method for Random Maps with Position Dependent Probabilities ⋮ The Norm Convergence of a Least Squares Approximation Method for Random Maps

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