English

Mean-field backward stochastic Volterra integral equations: well-posedness and related particle system

Probability 2025-11-11 v1

Abstract

This paper studies the mean-field backward stochastic Volterra integral equations (mean-field BSVIEs) and associated particle systems. We establish the existence and uniqueness of solutions to mean-field BSVIEs when the generator gg is of linear growth or quadratic growth with respect to ZZ, respectively. Moreover, the propagation of chaos is analyzed for the corresponding particle systems under two conditions. When gg is of linear growth in ZZ, the convergence rate is proven to be of order Q(N)\mathscr{Q}(N). When gg is of quadratic growth in ZZ and is independent of the law of ZZ, we not only establish the convergence of the particle systems but also derive a convergence rate of order O(N12λ)\mathscr{O}(N^{-\frac{1}{2\lambda}}), where λ>1\lambda>1.

Keywords

Cite

@article{arxiv.2511.07173,
  title  = {Mean-field backward stochastic Volterra integral equations: well-posedness and related particle system},
  author = {Tao Hao and Ying Hu and Jiaqiang Wen},
  journal= {arXiv preprint arXiv:2511.07173},
  year   = {2025}
}

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45 pages