Linear-quadratic stochastic nonzero-sum differential games between graphon teams

Fuente: arXiv
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Hauptverfasser: Xu, De-xuan, Gou, Zhun, Huang, Nan-jing
Format: Preprint
Veröffentlicht: 2025
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author Xu, De-xuan
Gou, Zhun
Huang, Nan-jing
author_facet Xu, De-xuan
Gou, Zhun
Huang, Nan-jing
contents We study a class of nonzero-sum stochastic differential games between two teams with agents in each team interacting through graphon aggregates. On the one hand, in each large population group, agents act together to optimize a common social cost function. On the other hand, these two groups compete with each other, forming a Nash game between two graphon teams. We note that the original problem can be equivalently formulated as an infinite-dimensional two-agent Nash game. Applying the dynamic programming approach, we obtain a set of coupled operator-valued Riccati-type equations. By proving the existence of solutions to the equations mentioned above, we obtain a Nash equilibrium for the two teams.
format Preprint
id arxiv_https___arxiv_org_abs_2506_11468
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Linear-quadratic stochastic nonzero-sum differential games between graphon teams
Xu, De-xuan
Gou, Zhun
Huang, Nan-jing
Optimization and Control
We study a class of nonzero-sum stochastic differential games between two teams with agents in each team interacting through graphon aggregates. On the one hand, in each large population group, agents act together to optimize a common social cost function. On the other hand, these two groups compete with each other, forming a Nash game between two graphon teams. We note that the original problem can be equivalently formulated as an infinite-dimensional two-agent Nash game. Applying the dynamic programming approach, we obtain a set of coupled operator-valued Riccati-type equations. By proving the existence of solutions to the equations mentioned above, we obtain a Nash equilibrium for the two teams.
title Linear-quadratic stochastic nonzero-sum differential games between graphon teams
topic Optimization and Control
url https://arxiv.org/abs/2506.11468