Existence of a limit distribution of a solution of a linear inhomogeneous stochastic differential equation
Author:
D. O. Ivanenko
Translated by:
N. Semenov
Journal:
Theor. Probability and Math. Statist. 78 (2009), 49-60
MSC (2000):
Primary 60F05; Secondary 60J75
DOI:
https://doi.org/10.1090/S0094-9000-09-00761-3
Published electronically:
August 4, 2009
MathSciNet review:
2446848
Full-text PDF Free Access
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Abstract: We find conditions for the existence of a limit distribution (as $t\rightarrow \infty$) of a vector process $\xi$ defined in $\mathbb {R}_+$ and determined by an inhomogeneous stochastic differential equation $\xi (t)=\xi (0)-\xi \circ \alpha +f\ast \nu +g\ast \mu$, where $\alpha$ is a nonrandom continuous increasing function, $\nu$ and $\mu$ are independent Poisson and centered Poisson measures, respectively.
References
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References
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- R. Sh. Liptser and A. N. Shiryaev, Theory of Martingales, Nauka, Moscow, 1986; English transl., Kluwer, Dordrecht, 1989. MR 1022664 (90j:60046)
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Additional Information
D. O. Ivanenko
Affiliation:
Department of Mathematics and Theoretical Radiophysics, Faculty for Radiophysics, National Taras Shevchenko University, Academician Glushkov Avenue 6, Kyiv 03127, Ukraine
Email:
ida@univ.kiev.ua
Keywords:
Limit distribution,
Poisson measure,
Itô’s formula,
Tauberian theorem
Received by editor(s):
July 3, 2007
Published electronically:
August 4, 2009
Article copyright:
© Copyright 2009
American Mathematical Society