Weak Convergence of Finite Element Approximations of Stochastic Linear Schr\"{o}dinger equation driven by additive Wiener noise

A standard finite element method discretizes the stochastic linear Schr"{o}dinger equation driven by additive noise in the spatial variables. The weak convergence of the resulting approximate solution is analyzed, and it is established that the weak convergence rate is twice that of the strong convergence.

Publication Details

Journal
ArXiv.org
Published
2025-03-17
Primary Topic
Stochastic processes and financial applications
Type
article
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article

Weak Convergence of Finite Element Approximations of Stochastic Linear Schr\"{o}dinger equation driven by additive Wiener noise

ArXiv.org
Stochastic processes and financial applications
article

Weak Convergence of Finite Element Approximations of Stochastic Linear Schr\"{o}dinger equation driven by additive Wiener noise

article en

Abstract

A standard finite element method discretizes the stochastic linear Schr\"{o}dinger equation driven by additive noise in the spatial variables. The weak convergence of the resulting approximate solution is analyzed, and it is established that the weak convergence rate is twice that of the strong convergence.

ArXiv.org
Reduced inequalities
Openalex Percentile: Top 42%
Stochastic processes and financial applications
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Weak Convergence of Finite Element Approximations of Stochastic Linear Schr\"{o}dinger equation driven by additive Wiener noise · ArXiv.org (2025) | TGRS Research Map | TGRS