Simplest random walk for approximating Robin boundary value problems and ergodic limits of reflected diffusions

نویسندگان

چکیده

A simple-to-implement weak-sense numerical method to approximate reflected stochastic differential equations (RSDEs) is proposed and analysed. It proved that the has first order of weak convergence. Together with Monte Carlo technique, it can be used numerically solve linear parabolic elliptic PDEs Robin boundary condition. One key results this paper use for computing ergodic limits, i.e. expectations respect invariant law RSDEs, both inside a domain in $\mathbb{R}^{d}$ on its boundary. This allows efficiently sample from distributions compact support. Both time-averaging ensemble-averaging estimators are considered number extensions including second-order approximation, case arbitrary oblique direction reflection, new adaptive scheme Poisson PDE Neumann The presented theoretical supported by several experiments.

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ژورنال

عنوان ژورنال: Annals of Applied Probability

سال: 2023

ISSN: ['1050-5164', '2168-8737']

DOI: https://doi.org/10.1214/22-aap1856