Results 11 to 20 of about 1,483,088 (317)
Ergodicity of nonlinear Markov operators on the finite dimensional space
, 2016 A nonlinear Markov chain is a discrete time stochastic process whose transition matrices may depend not only on the current state of the process but also on the current distribution of the process.
M. Saburov
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Markov Property and Cokernels of Local Operators [PDF]
Journal of the London Mathematical Society, 1997 Summary: We discuss Gaussian generalized random fields indexed by smooth sections of vector bundles with respect to Markov properties. We propose a new set-up which is suitable for the present question and within which new phenomena are detected naturally.
Iwata, K., Schäfer, J.
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Transfunctions Applied to Plans, Markov Operators and Optimal Transport
Annales Mathematicae SilesianaeA transfunction is a function which maps between sets of finite measures on measurable spaces. In this paper we characterize transfunctions that correspond to Markov operators and to plans; such a transfunction will contain the “instructions” common to ...
Bentley Jason, Mikusiński Piotr
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Quasi-Compactness of Operators for General Markov Chains and Finitely Additive Measures
MathematicsWe study Markov operators T, A, and T* of general Markov chains on an arbitrary measurable space. The operator, T, is defined on the Banach space of all bounded measurable functions.
Alexander Zhdanok
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Criteria of spectral gap for Markov operators [PDF]
Journal of Functional Analysis, 2014 16pages
Feng-Yu Wang
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Quantum Exclusion Process driven by Brownian Motions in terms of quantum Bernoulli noises [PDF]
Scientific ReportsQuantum Bernoulli noises are the family of annihilation and creation operators on Bernoulli functionals, which satisfy a canonical anti-commutation relation in equal time.
Suling Ren, Lixia Zhang
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SPECTRAL CONDITIONS FOR UNIFORM P-ERGODICITIES OF MARKOV OPERATORS ON ABSTRACT STATES SPACES [PDF]
Glasgow Mathematical Journal, 2020 In the present paper, we deal with asymptotical stability of Markov operators acting on abstract state spaces (i.e. an ordered Banach space, where the norm has an additivity property on the cone of positive elements).
N. Erkurşun-Özcan, F. Mukhamedov
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Decomposition of Finitely Additive Markov Chains in Discrete Space
Mathematics, 2022 In this study, we consider general Markov chains (MC) defined by a transition probability (kernel) that is finitely additive. These Markov chains were constructed by S. Ramakrishnan within the concepts and symbolism of game theory.
Alexander Zhdanok, Anna Khuruma
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, 2021 Various equicontinuity properties for families of Markov operators have been – and still are – used in the study of existence and uniqueness of invariant probability for these operators, and of asymptotic stability.
S. Hille +3 more
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Deep Stochastic Processes via Functional Markov Transition Operators [PDF]
Neural Information Processing Systems, 2023 We introduce Markov Neural Processes (MNPs), a new class of Stochastic Processes (SPs) which are constructed by stacking sequences of neural parameterised Markov transition operators in function space.
Jin Xu +4 more
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