Theory of Probability and Mathematical Statistics
On martingale solutions of stochastic partial differential equations with L\'{e}vy noise
V. Mandrekar, U. V. Naik-Nimbalkar
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Abstract: We prove the uniqueness of martingale solutions for Hilbert space valued stochastic partial differential equations with L\'{e}vy noise generalizing the work in Mandrekar and Skorokhod (1998). The main idea used is to reduce this problem to that of a stochastic differential equation using the techniques introduced in Filipovi\'c et al.\ (2010). We do not assume the Lipschitz or the non-Lipschitz conditions for the coefficients of the equations.
Keywords: Stochastic partial differential equations, stochastic differential equations, compensated Poisson random measure, martingale solution, infinite dimensional
Bibliography: 1. S. Albeverio, V. Mandrekar, and B. R\"udiger, Existence of mild solutions for stochastic differential equations and semilinear equations with non-Gaussian L\'{e}vy noise, Stochastic Processes and their Applications 119 (2009), 835–863.
2. D. Filipovi\'{c}, S. Tappe, and J. Teichmann, Jump-diffusions in Hilbert spaces: existence, stability and numerics, Stochastics 82 (2010), no. 5, 475–520.
3. L. Gawarecki and V. Mandrekar, Stochastic differential equations in infinite dimensions, Springer, Springer-Verlag Berlin Heidelberg, 2011.
4. I. I. Gikhman and A. V. Skorokhod, The theory of stochastic processes III, (Translated from the Russian by S. Kotz), Springer-Verlag, New York Inc., 1979.
5. E. Hausenblas, SPDEs driven by Poisson random measure with non Lipschitz coefficients: existence results, Probab. Theory Relat. Fields 137 (2007), 161–200.
6. T. Komatsu, Markov processes associated with certain integro-differential operators, Osaka J. Math. 10 (1973), 271–303.
7. V. Mandrekar and A. V. Skorokhod, An approach to the martingale problem for diffusion stochastic equations in a Hilbert space, Theory of Stochastic Processes 4 (1998), no. 20, 54–59.
8. V. Mandrekar and U. V. Naik-Nimbalkar, Weak uniqueness of martingale solutions to stochastic partial differential equations in Hilbert spaces, Theory of Stochastic Processes 25 (2020), no. 1, 78–89.
9. V. Mandrekar and B. R\"udiger, Stochastic Integration in Banach Spaces: Theory and Applications, Probability Theory and Stochastic Modelling, vol. 73, Springer, 2015.
10. S. Peszat and J. Zabczyk, Stochastic partial differential equations with L\'{e}vy noise, Cambridge University Press, Cambridge, 2007.
11. D. W. Stroock, Diffusion Processes Associated with L\'{e}vy Generators, Z. Wahrscheinlichkeits-theorie verw. Gebiete 32 (1975), 209–244.
12. D. W. Stroock and S. R. S. Varadhan, Diffusion processes with continuous coefficients I, Pure. and Appl. Math. 12 (1969), 345–400.
13. L. Wang, The existence and uniqueness of mild solutions to stochastic differential equations with L\'{e}vy noise, Advances in Difference Equations 175 (2017), https://doi.org/10.1186/s13662- 017-1224-0.