Results 1 to 10 of about 150,661 (326)
Fixed point of some Markov operator of Frobenius-Perron type generated by a random family of point-transformations in ℝd [PDF]
Advances in Nonlinear Analysis, 2021 Existence of fixed point of a Frobenius-Perron type operator P : L1 ⟶ L1 generated by a family {φy}y∈Y of nonsingular Markov maps defined on a σ-finite measure space (I, Σ, m) is studied.
Bugiel Peter +2 more
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FINITE MARKOV CHAINS IN THE MODEL REPRESENTATION OF THE HUMAN OPERATOR ACTIVITY IN QUASI-FUNCTIONAL ENVIRONMENT [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2016 Subject of Research. We analyze the problems of finite Markov chains apparatus application for simulating a human operator activity in the quasi-static functional environment.
M. V. Serzhantova, A. V. Ushakov
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On Quasi-Compact Markov Operators [PDF]
The Annals of Probability, 1974 Let $P$ be a conservative Markov operator on $L_\infty(X, \sum, m)$. The following conditions are proved to be equivalent: (i) $P$ is ergodic and quasi-compact. (ii) $P$ is ergodic and $(I - P)L_\infty$ is closed. (iii) For every $u \in L_1$ with $\int u dm = 0$ the sequence $\{\sum^N_{n=0} uP^n\}$ is weakly sequentially compact in $L_1$.
Michael Lin
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Markov Operators and Quasi-Stonian Spaces [PDF]
Proceedings of the American Mathematical Society, 1981 Let X X be a quasi-stonian space, and let T T be a σ \sigma -additive Markov operator on C ( X ) C(X) . Ando proved that if all T T -invariant probabilities are σ \sigma -additive, then T T is strongly ...
Robert E. Atalla
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GENERALIZED TRANSLATION OPERATORS AND MARKOV PROCESSES [PDF]
Demonstratio Mathematica, 2001 Summary: We study the relationship between generalized translation operators and stochastic convolutions on locally compact spaces. We prove that stochastic convolution semigroups can generate Lévy type processes which are strong Markov Feller processes and, as an example, we study the Bingham convolution and its dual on integers.
Nguyễn Văn Thụ
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Temporal neural operator for modeling time-dependent physical phenomena [PDF]
Scientific ReportsNeural Operators (NOs) are machine learning models designed to solve partial differential equations (PDEs) by learning to map between function spaces.
Waleed Diab, Mohammed Al Kobaisi
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TURKISH JOURNAL OF MATHEMATICS, 2020 A positive linear operator $T$ between two unital $f$-algebras, with point separating order duals, $A$ and $B$ is called a Markov operator for which $% T\left( e_{1}\right) =e_{2}$ where $e_{1},e_{2}$ are the identities of $A$ and $B$ respectively. Let $A$ and $B$ be semiprime $f$-algebras with point separating order duals such that their second order ...
Hūlya DURU, Serkan İLTER
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Annales Mathematicae Silesianae, 2021 In this paper our considerations are focused on some Markov chain associated with certain piecewise-deterministic Markov process with a statedependent jump intensity for which the exponential ergodicity was obtained in [4].
Kubieniec Joanna
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