INVARIANT MEASURES FOR RANDOM MAPS VIA INTERPOLATION
DOI10.1142/S0218127413500259zbMath1270.37039OpenAlexW2038413764MaRDI QIDQ2845147
Publication date: 22 August 2013
Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0218127413500259
interpolationFrobenius-Perron operatorpiecewise linear approximationrandom mapsabsolutely continuous invariant measures
Smooth ergodic theory, invariant measures for smooth dynamical systems (37C40) Functional analytic techniques in dynamical systems; zeta functions, (Ruelle-Frobenius) transfer operators, etc. (37C30) General theory of random and stochastic dynamical systems (37H05)
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Cites Work
- Why computers like Lebesgue measure
- Finite approximation for the Frobenius-Perron operator. A solution to Ulam's conjecture
- Absolutely continuous invariant measures for random maps with position dependent probabilities
- Approximations of Frobenius-Perron operators via interpolation
- A generalization of Straube's theorem: existence of absolutely continuous invariant measures for random maps
- Ulam's method for random interval maps
- Entropy computing via integration over fractal measures
- Position dependent random maps in one and higher dimensions
- The Geometric Markov Renewal Processes with Application to Finance
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