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Integro-Differential Equations Generated by Stochastic Problems
- Source :
- Differential Equations. 57:379-390
- Publication Year :
- 2021
- Publisher :
- Pleiades Publishing Ltd, 2021.
-
Abstract
- The connections between stochastic differential equations in which continuous and discontinuous random processes serve as sources of randomness and deterministic equations for the probabilistic characteristics of solutions of these stochastic equations are studied. In the study, we use various approaches based on the stochastic change of variables formula (Ito’s formula), on the analysis of local infinitesimal characteristics of the process, and on the theory of semigroups of operators in combination with the generalized Fourier transform. This allows us to obtain direct and inverse integro-differential equations for various probabilistic characteristics.
- Subjects :
- 0209 industrial biotechnology
Change of variables
Partial differential equation
Stochastic process
Differential equation
General Mathematics
010102 general mathematics
Probabilistic logic
02 engineering and technology
01 natural sciences
Stochastic differential equation
020901 industrial engineering & automation
Ordinary differential equation
Applied mathematics
0101 mathematics
Analysis
Randomness
Mathematics
Subjects
Details
- ISSN :
- 16083083 and 00122661
- Volume :
- 57
- Database :
- OpenAIRE
- Journal :
- Differential Equations
- Accession number :
- edsair.doi...........98c1bbb619a7ddbdfee4e87b1f5e8b2c
- Full Text :
- https://doi.org/10.1134/s0012266121030101