Modeling of applied problems by stochastic systems and their analysis using the moment equations
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Date
2013-10-09
Authors
Diblík, Josef
Dzhalladova, Irada
Michalková, Mária
Růžičková, Miroslava
ORCID
0000-0001-5009-316XAdvisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Nature
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Abstract
The paper deals with systems of linear differential equations with coefficients depending on the Markov process. Equations for particular density and the moment equations for given systems are derived and used in the investigation of solvability of initial problems and stability. Results are illustrated by examples.
The paper deals with systems of linear differential equations with coefficients depending on the Markov process. Equations for particular density and the moment equations for given systems are derived and used in the investigation of solvability of initial problems and stability. Results are illustrated by examples.
The paper deals with systems of linear differential equations with coefficients depending on the Markov process. Equations for particular density and the moment equations for given systems are derived and used in the investigation of solvability of initial problems and stability. Results are illustrated by examples.
Description
Citation
Advances in Difference Equations. 2013, vol. 2013, issue 1, p. 1-12.
https://advancesindifferenceequations.springeropen.com/articles/10.1186/1687-1847-2013-152
https://advancesindifferenceequations.springeropen.com/articles/10.1186/1687-1847-2013-152
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en