Skip to main content
Log in

Stochastic Evolution Equations of Jump Type: Existence, Uniqueness and Large Deviation Principles

  • Published:
Potential Analysis Aims and scope Submit manuscript

Abstract

This paper has two parts. In part I, existence and uniqueness results are established for solutions of stochastic evolution equations driven both by Brownian motion and by Poisson point processes. Exponential integrability of the solution are also proved. In part II, a large deviation principle is obtained for stochastic evolution equations driven by additive Lévy noise.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. de Acosta, A.: A genegral non-convex large deviation result with applications to stochastic equations. Probab. Theory Related Fields, 483–521 (2000)

  2. de Acosta, A.: Large deviations for vector valued Lévy processes. Stochastic Process. Appl. 51, 75–115 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  3. Albeverio, S., Wu, J.L., Zhang, T.S.: Parabolic SPDEs driven by Poisson White Noise. Stochastic Process. Appl. 74, 21–36 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  4. Chow, P.: Large deviation problem for some parabolic Itô equations. Comm. Pure Appl. Math. XLV, 97–120 (1992)

    Google Scholar 

  5. Chojnowska–Michalik, A.: On processes of Ornstein–Uhlenbeck type in Hilbert space. Stochastics 21, 251–286 (1987)

    MATH  MathSciNet  Google Scholar 

  6. Chenal, F., Millet, A.: Uniform large deviations for parabolic SPDEs and applications. Stochastic Process. Appl. 72, 161–186 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  7. Cerrai, S., Röckner, M.: Large deviations for stochastic reaction–diffusion systems with multiplicative noise and non–Lipschtiz reaction term. Ann. Probab. 32(1), 1100–1139 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  8. Cardon-Weber, C.: Large deviations for a Burgers’-type SPDE. Stochastic Process. Appl. 84, 53–70 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  9. Dembo, A., Zeitouni, O.: Large Deviations Techniques and Applications. Jones and Bartlett Publishers, Boston, London (1992)

    Google Scholar 

  10. Fournier, N.: Malliavin calculus for parabolic SPDEs with jumps. Stochastic Process. Appl. 87(1), 115–147 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  11. Fuhrmann, M., Röckner, M.: Generalized Mehler semigroups: the non-Gaussian case. Potential Anal. 12, 1–47 (2000)

    Article  MathSciNet  Google Scholar 

  12. Fukushima, M., Oshima, Y., Takeda, M.: Dirichlet Forms and Symmetric Markov Processes. Walter de Gruyter, Berlin, New York (1994)

    MATH  Google Scholar 

  13. Gyöngy, I.: On stochastic equations with respect to semimartingales. III. Stochastics 7, 231–254 (1982)

    MathSciNet  Google Scholar 

  14. Gyöngy, I., Krylov, N.V.: On stochastic equations with respect to semimartingales. I. Stochastics 4, 1–21 (1980/81)

    MathSciNet  Google Scholar 

  15. Gyöngy, I., Krylov, N.V.: On stochastic equations with respect to semimartingales. II. Itô formula in Banach spaces. Stochastics 6, 153–173 (1981/82)

    MathSciNet  Google Scholar 

  16. Ikeda, N., Watanable, S.: Stochastic Differential Equations and Diffusion Processes. North–Holland/Kodansha, Amsterdam, Oxford, New York (1989)

    MATH  Google Scholar 

  17. Krylov, N.V., Rosowskii, B.L.: Stochastic Evolution Equations. Current Problems in Mathematics, vol. 14 (Russian), pp. 71–147, Akad. Nauk SSSR, Vsesoyuz. Inst. Nauchn. i Tekhn. Informatsii, Moscow (1979)

  18. Lions, J.L.: Equations Differentielles Operationnelles Et Problemes Aux Limites. Springer, Berlin Heidelberg New York (1961)

    MATH  Google Scholar 

  19. Mueller, C.: The heat equation with Levy noise. Stochastic Process. Appl. 74(1), 67–82 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  20. Mytnik, L.: Stochastic partial differential equations driven by stable noise. Probab. Theory Related Fields 123(2), 157–201 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  21. Pardoux, E.: Stochastic partial differential equations and filtering of diffussion processes. Stochastics 3, 127–167 (1979)

    MATH  MathSciNet  Google Scholar 

  22. Prato, G.D., Zabczyk, J.: Stochastic Equations in Infinite Dimensions. Cambridge University Press (1992)

  23. Protter, P.: Stochastic Integration and Differential Equations. Springer, Berlin Heidelberg New York (1990)

    MATH  Google Scholar 

  24. Zhang, T.S.: On small time asymptotics of diffusions on Hilbert spaces. Ann. Probab. 28(2), 537–557 (2000)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tusheng Zhang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Röckner, M., Zhang, T. Stochastic Evolution Equations of Jump Type: Existence, Uniqueness and Large Deviation Principles. Potential Anal 26, 255–279 (2007). https://doi.org/10.1007/s11118-006-9035-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11118-006-9035-z

Key words

Mathematics Subject Classifications (2000)

Navigation