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Almost Sure Convergence of Stochastic Differential Equations of Jump-Diffusion Type

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Seminar on Stochastic Analysis, Random Fields and Applications

Part of the book series: Progress in Probability ((PRPR,volume 36))

Abstract

We consider a class of stochastic differential equations of jump-diffusion type

$$d{{x}_{t}} = f\left( {t,{{x}_{t}}} \right)dt + G\left( {t,{{x}_{t}}} \right)d{{W}_{t}} + \int_{U} {h\left( {t - ,u,{{x}_{{t - }}}} \right)} N\left( {dt,du} \right),$$

where f, G, and h are càdlàg adapted processes; W t is an m-dimensional standard Brownian motion and N(dt, du) is a Poisson random counting measure with deterministic characteristic measure ⋋(du) on the measurable space U The pathwise unique strong solution and the stability problem for a sequence of stochastic systems with small perturbations in almost sure convergence are discussed by means of a stochastic version of Gronwall’s inequality.

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References

  1. N. Ikeda and S. Watanabe, Stochastic Differential Equations and Diffusion Processes, ( 2nd ed. ), North-Holland, Amsterdam, 1989.

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© 1995 Springer Basel AG

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Li, C.W. (1995). Almost Sure Convergence of Stochastic Differential Equations of Jump-Diffusion Type. In: Bolthausen, E., Dozzi, M., Russo, F. (eds) Seminar on Stochastic Analysis, Random Fields and Applications. Progress in Probability, vol 36. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-7026-9_13

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  • DOI: https://doi.org/10.1007/978-3-0348-7026-9_13

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-7028-3

  • Online ISBN: 978-3-0348-7026-9

  • eBook Packages: Springer Book Archive

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