Sobolev space theory and H\"older estimates for the stochastic partial differential equations on conic and polygonal domains

Abstract

We establish existence, uniqueness, and Sobolev and H\"older regularity results for the stochastic partial differential equation du=(Σi,j=1d aijuxixj+f0+Σi=1d fixi)dt+Σk=1∞gkdwkt, t>0, \,x∈ D given with non-zero initial data. Here \wkt: k=1,2,·s\ is a family of independent Wiener processes defined on a probability space (, P), aij=aij(ω,t) are merely measurable functions on × (0,∞), and D is either a polygonal domain in R2 or an arbitrary dimensional conic domain of the type equation conic D(M):=\x∈ Rd :\,x|x|∈ M\, M∈ Sd-1, (d≥ 2) equation where M is an open subset of Sd-1 with C2 boundary. We measure the Sobolev and H\"older regularities of arbitrary order derivatives of the solution using a system of mixed weights consisting of appropriate powers of the distance to the vertices and of the distance to the boundary. The ranges of admissible powers of the distance to the vertices and to the boundary are sharp.

0

Turn this paper into a lesson

ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…