Well-posedness for a class of doubly nonlinear stochastic PDEs of divergence type
arXiv:1611.06790 · doi:10.1016/j.jde.2017.03.041
Abstract
We prove well-posedness for doubly nonlinear parabolic stochastic partial differential equations of the form , where and are the two nonlinearities, assumed to be multivalued maximal monotone operators everywhere defined on and respectively, and is a cylindrical Wiener process. Using variational techniques, suitable uniform estimates (both pathwise and in expectation) and some compactness results, well-posedness is proved under the classical Leray-Lions conditions on and with no restrictive smoothness or growth assumptions on . The operator is assumed to be Hilbert-Schmidt and to satisfy some classical Lipschitz conditions in the second variable.
Key words and phrases: doubly nonlinear stochastic equation, divergence, variational approach, existence of solutions, continuous dependence, multiplicative noise
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