Well-posedness of stochastic partial differential equations with fully local monotone coefficients
Abstract
Consider stochastic partial differential equations (SPDEs) with fully local monotone coefficients in a Gelfand triple V⊂eq H ⊂eq V*: align* \ aligned dX(t) & = A(t,X(t))dt + B(t,X(t))dW(t), t∈ (0,T], X(0) & = x∈ H, aligned . align* where align* A: [0,T]× V → V* , B: [0,T]× V → L2(U,H) align* are measurable maps, L2(U,H) is the space of Hilbert-Schmidt operators from U to H and W is a U-cylindrical Wiener process. Such SPDEs include many interesting models in applied fields like fluid dynamics etc. In this paper, we establish the well-posedness of the above SPDEs under fully local monotonicity condition solving a longstanding open problem. The conditions on the diffusion coefficient B(t,·) are allowed to depend on both the H-norm and V-norm. In the case of classical SPDEs, this means that B(·,·) could also depend on the gradient of the solution. The well-posedness is obtained through a combination of pseudo-monotonicity techniques and compactness arguments.
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