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Theory of Probability and Mathematical Statistics

ISSN 1547-7363(online) ISSN 0094-9000(print)

   
 
 

 

On martingale solutions of stochastic partial differential equations with Lévy noise


Authors: V. Mandrekar and U. V. Naik-Nimbalkar
Journal: Theor. Probability and Math. Statist. 104 (2021), 89-101
MSC (2020): Primary 60H15, 60H10; Secondary 60H20, 35R60
DOI: https://doi.org/10.1090/tpms/1147
Published electronically: September 24, 2021
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Abstract | References | Similar Articles | Additional Information

Abstract: We prove the uniqueness of martingale solutions for Hilbert space valued stochastic partial differential equations with Lévy 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 Filipović et al. (2010). We do not assume the Lipschitz or the non-Lipschitz conditions for the coefficients of the equations.


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Additional Information

V. Mandrekar
Affiliation: Department of Statistics and Probability, Michigan State University, East Lansing 48824
Email: atma1m@gmail.com

U. V. Naik-Nimbalkar
Affiliation: Department of Statistics, Savitribai Phule Pune University, Pune 411007, India
Email: uvnaik@gmail.com

Keywords: Stochastic partial differential equations, stochastic differential equations, compensated Poisson random measure, martingale solution, infinite dimensional
Received by editor(s): April 5, 2021
Published electronically: September 24, 2021
Article copyright: © Copyright 2021 Taras Shevchenko National University of Kyiv