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Convexity, Markov Operators, Approximation, and Related Optimization

open access: yesMathematics, 2022
The present review paper provides recent results on convexity and its applications to the constrained extension of linear operators, motivated by the existence of subgradients of continuous convex operators, the Markov moment problem and related Markov ...
Octav Olteanu
doaj   +3 more sources

Quantum Exclusion Process driven by Brownian Motions in terms of quantum Bernoulli noises [PDF]

open access: yesScientific Reports
Quantum 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
doaj   +2 more sources

Pre-Markov operators

open access: yesTURKISH 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
openaire   +4 more sources

Decomposition of Finitely Additive Markov Chains in Discrete Space

open access: yesMathematics, 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
doaj   +1 more source

Invariant Finitely Additive Measures for General Markov Chains and the Doeblin Condition

open access: yesMathematics, 2023
In this paper, we consider general Markov chains with discrete time in an arbitrary measurable (phase) space. Markov chains are given by a classical transition function that generates a pair of conjugate linear Markov operators in a Banach space of ...
Alexander Zhdanok
doaj   +1 more source

Random Times for Markov Processes with Killing

open access: yesFractal and Fractional, 2021
We consider random time changes in Markov processes with killing potentials. We study how random time changes may be introduced in these Markov processes with killing potential and how these changes may influence their time behavior.
Yuri G. Kondratiev, José Luís da Silva
doaj   +1 more source

Maximum principles for nonlocal parabolic Waldenfels operators [PDF]

open access: yesBulletin of Mathematical Sciences, 2019
As a class of Lévy type Markov generators, nonlocal Waldenfels operators appear naturally in the context of investigating stochastic dynamics under Lévy fluctuations and constructing Markov processes with boundary conditions (in particular the ...
Qiao Huang, Jinqiao Duan, Jiang-Lun Wu
doaj   +1 more source

Weak Markov Operators

open access: yesFilomat, 2018
6 ...
Duru, Hulya, Ilter, Serlan
openaire   +4 more sources

Approximation of Space-Time Fractional Equations

open access: yesFractal and Fractional, 2021
The aim of this paper is to provide approximation results for space-time non-local equations with general non-local (and fractional) operators in space and time.
Raffaela Capitanelli, Mirko D’Ovidio
doaj   +1 more source

Indistinguishability Operators via Yager t-norms and Their Applications to Swarm Multi-Agent Task Allocation

open access: yesMathematics, 2021
In this paper, we propose a family of indistinguishability operators, that we have called Yager Possibilitic Response Functions (YPRFs for short), as an appropriate tool for allocating tasks to a collective of agents. In order to select the best agent to
Maria-del-Mar Bibiloni-Femenias   +3 more
doaj   +1 more source

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