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Theory of Probability and Mathematical Statistics

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

   
 
 

 

Mild solutions to semilinear stochastic partial differential equations with locally monotone coefficients


Author: S. Tappe
Journal: Theor. Probability and Math. Statist. 104 (2021), 113-122
MSC (2020): Primary 60H15; Secondary 60H10
DOI: https://doi.org/10.1090/tpms/1149
Published electronically: September 24, 2021
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Abstract: We provide an existence and uniqueness result for mild solutions to semilinear stochastic partial differential equations in the framework of the semigroup approach with locally monotone coefficients. An important component of the proof is an application of the dilation theorem of Nagy, which allows us to reduce the problem to infinite dimensional stochastic differential equations on a larger Hilbert space. Properties of the solutions like the Markov property are discussed as well.


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Additional Information

S. Tappe
Affiliation: Department of Mathematical Stochastics, Albert Ludwig University of Freiburg, Ernst-Zermelo-Straße 1, D-79104 Freiburg, Germany
Email: stefan.tappe@math.uni-freiburg.de

Keywords: Stochastic partial differential equation, mild solution, monotonicity condition, coercivity condition, Markov property
Received by editor(s): July 27, 2021
Published electronically: September 24, 2021
Additional Notes: The author gratefully acknowledges financial support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) — project number 444121509
Article copyright: © Copyright 2021 Taras Shevchenko National University of Kyiv