Mean-field stochastic differential equations driven by <i>G</i>-Brownian motion
This paper introduces a novel formulation of mean-field stochastic differential equations driven by G-Brownian motion. The proposed formulation generalises existing approaches within the G-framework and enables the study of Fréchet differentiability. Under non-Lipschitz conditions on the coefficients, we establish the existence and uniqueness of a solution for square-integrable stochastic initial data.
Authors
- Thilo Meyer‐Brandis (ORCID: https://orcid.org/0000-0002-6374-7983)
- K. Bollweg (ORCID: https://orcid.org/0009-0009-8425-6882)
Institutions
- LMU Klinikum (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Probability Uncertainty and Quantitative Risk
- Published
- 2025-01-01
- DOI
- https://doi.org/10.3934/puqr.2025011
- Citations
- 2
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 4.42