A Magnus-based integrator for Brownian parametric semi-linear oscillators
Raffaele D'Ambrosio,
Hugo de la Cruz and
Carmela Scalone
Applied Mathematics and Computation, 2024, vol. 472, issue C
Abstract:
We introduce a numerical method for solving second-order stochastic differential equations of the form x¨=−ω2(t)x+f(t,x)+σ(t)ξ(t), describing a class of nonlinear oscillators with non-constant frequency, perturbed by white noise ξ(t). The proposed scheme takes advantages of the Magnus approach to construct an integrator for this stochastic oscillator. Its convergence properties are rigorously analyzed and selected numerical experiments on relevant stochastic oscillators are carried out, confirming the effectiveness and the competitive behavior of the proposed method, in comparison with standard integrators in the literature.
Keywords: Stochastic differential equations; Stochastic oscillators; Magnus expansions (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300324000821
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:472:y:2024:i:c:s0096300324000821
DOI: 10.1016/j.amc.2024.128610
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().