Density functions for the overdamped generalized Langevin equation and its Euler--Maruyama method: smoothness and convergence
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| Format: | Preprint |
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2024
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| _version_ | 1866907904473300992 |
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| author | Dai, Xinjie Jin, Diancong |
| author_facet | Dai, Xinjie Jin, Diancong |
| contents | This paper focuses on studying the convergence rate of the density function of the Euler--Maruyama (EM) method, when applied to the overdamped generalized Langevin equation with fractional noise which serves as an important model in many fields. Firstly, we give an improved upper bound estimate for the total variation distance between random variables by their Malliavin--Sobolev norms. Secondly, we establish the existence and smoothness of the density function for both the exact solution and the numerical one. Based on the above results, the convergence rate of the density function of the numerical solution is obtained, which relies on the regularity of the noise and kernel. This convergence result provides a powerful support for numerically capturing the statistical information of the exact solution through the EM method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_11744 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Density functions for the overdamped generalized Langevin equation and its Euler--Maruyama method: smoothness and convergence Dai, Xinjie Jin, Diancong Numerical Analysis This paper focuses on studying the convergence rate of the density function of the Euler--Maruyama (EM) method, when applied to the overdamped generalized Langevin equation with fractional noise which serves as an important model in many fields. Firstly, we give an improved upper bound estimate for the total variation distance between random variables by their Malliavin--Sobolev norms. Secondly, we establish the existence and smoothness of the density function for both the exact solution and the numerical one. Based on the above results, the convergence rate of the density function of the numerical solution is obtained, which relies on the regularity of the noise and kernel. This convergence result provides a powerful support for numerically capturing the statistical information of the exact solution through the EM method. |
| title | Density functions for the overdamped generalized Langevin equation and its Euler--Maruyama method: smoothness and convergence |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2405.11744 |