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Main Authors: Lin, Yiqing, Xu, Kun
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2401.07723
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author Lin, Yiqing
Xu, Kun
author_facet Lin, Yiqing
Xu, Kun
contents In this paper, we study a class of mean-field reflected backward stochastic differential equations (MFRBSDEs) driven by a marked point process. Based on a g-expectation representation lemma, we give the existence and uniqueness of MFRBSDEs driven by a marked point process under Lipschitz generator conditions. Besides, the well-posedness of this kind of BSDEs with exponential growth generator and unbounded terminal is also provided by $θ$-method.
format Preprint
id arxiv_https___arxiv_org_abs_2401_07723
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mean-field reflected BSDEs driven by a marked point process
Lin, Yiqing
Xu, Kun
Probability
In this paper, we study a class of mean-field reflected backward stochastic differential equations (MFRBSDEs) driven by a marked point process. Based on a g-expectation representation lemma, we give the existence and uniqueness of MFRBSDEs driven by a marked point process under Lipschitz generator conditions. Besides, the well-posedness of this kind of BSDEs with exponential growth generator and unbounded terminal is also provided by $θ$-method.
title Mean-field reflected BSDEs driven by a marked point process
topic Probability
url https://arxiv.org/abs/2401.07723