A regularized truncated finite element method for degenerate parabolic stochastic PDE on non-compact graph
Provides a systematic numerical methodology for a class of PDEs arising in Hamiltonian flow asymptotics, addressing challenges of non-compactness and degeneracy.
The paper develops a numerical scheme for degenerate parabolic stochastic PDEs on non-compact metric graphs, combining graph truncation, regularization, and finite elements, and proves strong convergence in a weighted L^2 space.
We study the numerical approximation of a class of degenerate parabolic stochastic partial differential equations on non-compact metric graphs, which naturally arise in the asymptotic analysis of Hamiltonian flows under small noise perturbations. The numerical discretization of these equations faces several challenges, including the non-compactness of the graph, the degeneracy of the differential operator near vertices, and the non-symmetry of the associated bilinear form. To address these issues, we propose a multi-step numerical strategy combining graph truncation, localized coefficient regularization, and finite element spatial discretization. By incorporating localization techniques, tightness arguments, and resolvent estimates, we establish the strong convergence of the proposed scheme in a weighted $L^2$-space. Our results provide a systematic methodology that is potentially extensible to more general non-compact graphs and degenerate operators.