A Linear Spline Markov Approximation Method for Random Maps with Position Dependent Probabilities
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Publication:5221687
DOI10.1142/S0218127420500467zbMath1445.37036OpenAlexW3014544648MaRDI QIDQ5221687
Publication date: 3 April 2020
Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0218127420500467
Ergodic theorems, spectral theory, Markov operators (37A30) Dynamical systems involving maps of the interval (37E05) Stability theory for random and stochastic dynamical systems (37H30) Computational methods for attractors of dynamical systems (37M22) Random iteration (37H12)
Related Items (3)
Piecewise convex deterministic dynamical systems and weakly convex random dynamical systems and their invariant measures ⋮ A Cubic Spline Projection Method for Computing Stationary Densities of Dynamical Systems ⋮ The Norm Convergence of a Least Squares Approximation Method for Random Maps
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