Large and Moderate deviation principles for the Multivalued McKean-Vlasov SDEs with jumps
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866918263099752448 |
|---|---|
| author | Cheng, Lingyan Gu, Caihong Liu, Wei Zhu, Fengwu |
| author_facet | Cheng, Lingyan Gu, Caihong Liu, Wei Zhu, Fengwu |
| contents | By using the weak convergence method, we establish the large and moderate deviation principles for the multivalued McKean-Vlasov SDEs with non-Lipschitz coefficients driven by Lévy noise in this paper. The Bihari's inequality is used to overcome the challenges arising from the non-Lipschitz conditions on the coefficients. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_21160 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Large and Moderate deviation principles for the Multivalued McKean-Vlasov SDEs with jumps Cheng, Lingyan Gu, Caihong Liu, Wei Zhu, Fengwu Probability By using the weak convergence method, we establish the large and moderate deviation principles for the multivalued McKean-Vlasov SDEs with non-Lipschitz coefficients driven by Lévy noise in this paper. The Bihari's inequality is used to overcome the challenges arising from the non-Lipschitz conditions on the coefficients. |
| title | Large and Moderate deviation principles for the Multivalued McKean-Vlasov SDEs with jumps |
| topic | Probability |
| url | https://arxiv.org/abs/2512.21160 |