Strong solution and approximation of time-dependent radial Dunkl processes with multiplicative noise

Fuente: arXiv
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Main Authors: Do, Minh-Thang, Ngo, Hoang-Long, Taguchi, Dai
Format: Preprint
Published: 2024
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author Do, Minh-Thang
Ngo, Hoang-Long
Taguchi, Dai
author_facet Do, Minh-Thang
Ngo, Hoang-Long
Taguchi, Dai
contents We study the strong existence and uniqueness of solutions within a Weyl chamber for a class of time-dependent particle systems driven by multiplicative noise. This class includes well-known processes in physics and mathematical finance. We propose a method to prove the existence of negative moments for the solutions. This result allows us to analyze two numerical schemes for approximating the solutions. The first scheme is a $θ$-Euler--Maruyama scheme, which ensures that the approximated solution remains within the Weyl chamber. The second scheme is a truncated $θ$-Euler--Maruyama scheme, which produces values in $\mathbb{R}^{d}$ instead of the Weyl chamber $\mathbb{W}$, offering improved computational efficiency.
format Preprint
id arxiv_https___arxiv_org_abs_2410_10457
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Strong solution and approximation of time-dependent radial Dunkl processes with multiplicative noise
Do, Minh-Thang
Ngo, Hoang-Long
Taguchi, Dai
Probability
Numerical Analysis
65C30, 60H35, 91G60, 17B22
We study the strong existence and uniqueness of solutions within a Weyl chamber for a class of time-dependent particle systems driven by multiplicative noise. This class includes well-known processes in physics and mathematical finance. We propose a method to prove the existence of negative moments for the solutions. This result allows us to analyze two numerical schemes for approximating the solutions. The first scheme is a $θ$-Euler--Maruyama scheme, which ensures that the approximated solution remains within the Weyl chamber. The second scheme is a truncated $θ$-Euler--Maruyama scheme, which produces values in $\mathbb{R}^{d}$ instead of the Weyl chamber $\mathbb{W}$, offering improved computational efficiency.
title Strong solution and approximation of time-dependent radial Dunkl processes with multiplicative noise
topic Probability
Numerical Analysis
65C30, 60H35, 91G60, 17B22
url https://arxiv.org/abs/2410.10457