Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-29T17:00:56.875Z Has data issue: false hasContentIssue false

A UNIFIED EXISTENCE AND UNIQUENESS THEOREM FOR STOCHASTIC EVOLUTION EQUATIONS

Published online by Cambridge University Press:  05 October 2009

A. JENTZEN
Affiliation:
Institut für Mathematik, Johann Wolfgang Goethe-Universität, D-60054 Frankfurt am Main, Germany (email: [email protected])
P. E. KLOEDEN*
Affiliation:
Institut für Mathematik, Johann Wolfgang Goethe-Universität, D-60054 Frankfurt am Main, Germany (email: [email protected])
*
For correspondence; e-mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

An existence and uniqueness theorem for mild solutions of stochastic evolution equations is presented and proved. The diffusion coefficient is handled in a unified way which allows a unified theorem to be formulated for different cases, in particular, of multiplicative space–time white noise and trace-class noise.

Type
Research Article
Copyright
Copyright © Australian Mathematical Publishing Association Inc. 2009

Footnotes

This work has been supported by the DFG project ‘Pathwise numerics and dynamics of stochastic evolution equations’.

References

[1]Chojnowska-Michalik, A. and Goldys, B., ‘Existence, uniqueness and invariant measures for stochastic semilinear equations on Hilbert spaces’, Probab. Theory Related Fields 102 (1995), 331356.CrossRefGoogle Scholar
[2]Da Prato, G., Debussche, A. and Goldys, B., ‘Some properties of invariant measures of non symmetric dissipative stochastic systems’, Probab. Theory Related Fields 123 (2002), 355380.Google Scholar
[3]Da Prato, G. and Zabczyk, J., Stochastic Equations in Infinite Dimensions (Cambridge University Press, Cambridge, 1992).CrossRefGoogle Scholar
[4]Da Prato, G. and Zabczyk, J., Ergodicity for Infinite Dimensional Systems, London Mathematical Society Lecture Notes Series, 229 (Cambridge University Press, Cambridge, 1996).CrossRefGoogle Scholar
[5]Jentzen, A., ‘Taylor expansions of solutions of stochastic partial differential equations’, Preprint, 2009.Google Scholar
[6]Jentzen, A. and Kloeden, P. E., ‘The numerical approximation of stochastic partial differential equations’, Milan J. Math., (2009) to appear.CrossRefGoogle Scholar
[7]Manthey, R. and Zausinger, T., ‘Stochastic evolution equations in L2νρ’, Stoch. Stoch. Rep. 66 (1999), 3785.CrossRefGoogle Scholar
[8]Müller-Gronbach, T. and Ritter, K., ‘Lower bounds and nonuniform time discretization for approximation of stochastic heat equations’, Found. Comput. Math. 7 (2007), 135181.CrossRefGoogle Scholar
[9]Prévot, C. and Röckner, M., A Concise Course on Stochastic Partial Differential Equations (Springer, Berlin, 2007).Google Scholar
[10]Sell, G. R. and You, Y., Dynamics of Evolutionary Equations (Springer, New York, 2002).CrossRefGoogle Scholar