Weak convergence for a spatial approximation of the nonlinear stochastic heat equation
Artikel i vetenskaplig tidskrift, 2016

We find the weak rate of convergence of the spatially semidiscrete finite element approximation of the nonlinear stochastic heat equation. Both multiplicative and additive noise is considered under different assumptions. This extends an earlier result of Debussche in which time discretization is considered for the stochastic heat equation perturbed by white noise. It is known that this equation has a solution only in one space dimension. In order to obtain results for higher dimensions, colored noise is considered here, besides white noise in one dimension. Integration by parts in the Malliavin sense is used in the proof. The rate of weak convergence is, as expected, essentially twice the rate of strong convergence.

finite element

Malliavin calculus

error estimate

Nonlinear stochastic heat equation

weak convergence

multiplicative noise



Adam Andersson

Chalmers, Matematiska vetenskaper, Matematik

Göteborgs universitet

Stig Larsson

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematik

Mathematics of Computation

0025-5718 (ISSN) 1088-6842 (eISSN)

Vol. 85 1335-1358



Sannolikhetsteori och statistik


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