| Issue |
ESAIM: COCV
Volume 32, 2026
|
|
|---|---|---|
| Article Number | 34 | |
| Number of page(s) | 26 | |
| DOI | https://doi.org/10.1051/cocv/2026017 | |
| Published online | 23 April 2026 | |
Linear-quadratic optimal control for non-exchangeable mean-field SDEs and applications to systemic risk
1
LPSM, Université Paris Cité and Sorbonne University,
Paris,
France
2
Institut für Mathematik, Technische Universität Berlin, Berlin, Germany and Department of Economics and Finance, Luiss Guido Carli University,
Rome,
Italy
3
Ecole Polytechnique, CMAP,
Paris,
France
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
6
March
2025
Accepted:
27
February
2026
Abstract
We study the linear-quadratic control problem for a class of non-exchangeable mean-field systems, which model large populations of heterogeneous interacting agents. We explicitly characterize the optimal control in terms of a new infinite-dimensional system of Riccati equations, for which we establish existence and uniqueness. To illustrate our results, we apply this framework to a systemic risk model involving heterogeneous banks, demonstrating the impact of agent heterogeneity on optimal risk mitigation strategies.
Mathematics Subject Classification: 49N10 / 49N82 / 93E20
Key words: Mean-field SDE / heterogeneous interaction / graphons / linear quadratic optimal control / Riccati system / systemic risk
© The authors. Published by EDP Sciences, SMAI 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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