Quantitative approximation to density dependent SDEs driven by $α$-stable processes
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866915221546729472 |
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| author | Song, Ke Hao, Zimo Ye, Mingkun |
| author_facet | Song, Ke Hao, Zimo Ye, Mingkun |
| contents | Based on a class of moderately interacting particle systems, we establish a quantitative approximation for density-dependent McKean-Vlasov SDEs and the corresponding nonlinear, nonlocal PDEs. The SDE is driven by both Brownian motion and pure-jump Lévy processes. By employing Duhamel's formula, density estimates, and appropriate martingale functional inequalities, we derive precise convergence rates for the empirical measure of particle systems toward the law of the McKean-Vlasov SDE solution. Additionally, we quantify both weak and pathwise convergence between the one-marginal particle and the solution to the McKean-Vlasov SDE. Notably, all convergence rates remain independent of the noise type. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_00585 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Quantitative approximation to density dependent SDEs driven by $α$-stable processes Song, Ke Hao, Zimo Ye, Mingkun Probability Based on a class of moderately interacting particle systems, we establish a quantitative approximation for density-dependent McKean-Vlasov SDEs and the corresponding nonlinear, nonlocal PDEs. The SDE is driven by both Brownian motion and pure-jump Lévy processes. By employing Duhamel's formula, density estimates, and appropriate martingale functional inequalities, we derive precise convergence rates for the empirical measure of particle systems toward the law of the McKean-Vlasov SDE solution. Additionally, we quantify both weak and pathwise convergence between the one-marginal particle and the solution to the McKean-Vlasov SDE. Notably, all convergence rates remain independent of the noise type. |
| title | Quantitative approximation to density dependent SDEs driven by $α$-stable processes |
| topic | Probability |
| url | https://arxiv.org/abs/2504.00585 |