Positivity-preserving schemes for some nonlinear stochastic PDEs
Charles-Edouard Br\'ehier, David Cohen, Johan Ulander

TL;DR
This paper presents a new numerical scheme that preserves positivity for certain nonlinear stochastic heat equations driven by time-dependent Brownian motion, supported by numerical experiments and convergence analysis.
Contribution
The paper introduces a positivity-preserving numerical scheme for nonlinear stochastic heat equations driven by time-dependent Brownian motion, extending previous work to a different framework.
Findings
The scheme maintains positivity in numerical solutions.
Numerical experiments demonstrate the scheme's effectiveness.
Convergence results confirm theoretical properties.
Abstract
We introduce a positivity-preserving numerical scheme for a class of nonlinear stochastic heat equations driven by a purely time-dependent Brownian motion. The construction is inspired by a recent preprint by the authors where one-dimensional equations driven by space-time white noise are considered. The objective of this paper is to illustrate the properties of the proposed integrators in a different framework, by numerical experiments and by giving convergence results.
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Financial Markets and Investment Strategies
