Almost everywhere convergence of the iterates of a bi-stochastic Markov operator
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Publication:6068738
DOI10.1007/s11117-023-01010-7OpenAlexW4387220332MaRDI QIDQ6068738
Publication date: 13 November 2023
Published in: Positivity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11117-023-01010-7
Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Random operators and equations (aspects of stochastic analysis) (60H25) Random nonlinear operators (47H40) Limit theorems for vector-valued random variables (infinite-dimensional case) (60B12) Random iteration (37H12)
Cites Work
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- Constrictive Markov operators induced by Markov processes
- A generalized 0-2 law
- Ergodic theorems. With a supplement by Antoine Brunel
- Harris operators
- Pointwise convergence of the iterates of a Harris-recurrent Markov operator
- Chaos, fractals, and noise: Stochastic aspects of dynamics.
- On the ?zero-two? law for conservative Markov processes
- An Operator Theorem on $L_1$ Convergence to Zero with Applications to Markov Kernels
- MULTIPLICATIVE STOCHASTIC PERTURBATIONS OF ONE-DIMENSIONAL MAPS
- Operator Theoretic Aspects of Ergodic Theory
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