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Modeling of applied problems by stochastic systems and their analysis using the moment equations
- Source :
- Advances in Difference Equations. 2013, vol. 2013, issue 1, p. 1-12.
- Publication Year :
- 2013
- Publisher :
- Springer Nature, 2013.
-
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.
- Subjects :
- moment equations
Algebra and Number Theory
Dynamical systems theory
Independent equation
Applied Mathematics
Mathematical analysis
stochastic systems
stability
Examples of differential equations
Stochastic partial differential equation
Nonlinear system
Simultaneous equations
Markov process
Differential algebraic equation
Analysis
solvability
Numerical partial differential equations
Mathematics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Advances in Difference Equations. 2013, vol. 2013, issue 1, p. 1-12.
- Accession number :
- edsair.doi.dedup.....f99d86c7dc7047140a65cc8b7513e642