Graphon Mean Field Game of mutual holding
Pith reviewed 2026-06-29 02:43 UTC · model grok-4.3
The pith
Suitable conditions on the graphon allow explicit optimal strategies, wellposedness of the McKean-Vlasov SDE, and convergence of Nash equilibria in mutual holding mean field games.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Under suitable conditions on the graphon function that guarantee continuity under the WOP2 metric, the optimal strategy admits an explicit characterization, the associated McKean-Vlasov SDE is well-posed, and the Nash equilibria converge.
What carries the argument
The graphon function and its continuity property under the WOP2 metric, which supports the explicit optimal strategy and the wellposedness arguments on the enlarged space.
Load-bearing premise
The graphon function must satisfy conditions that guarantee its continuity property under the WOP2 metric.
What would settle it
A graphon that fails the WOP2 continuity condition yet still permits an explicit optimal strategy and a well-posed McKean-Vlasov SDE would falsify the necessity of that condition.
read the original abstract
This paper studies the mean field game of mutual holding proposed by Djete and Touzi(AAP, 2024), and consider the case where the interactions among agents are described by a graphon. We adopt the formulation on the enlarged space which is modeled using the joint law of the value process and the graphon label, as in Lacker and Soret(MOR, 2023). Under suitable conditions on the graphon function, we are able to provide the explicit characterization of the optimal strategy, prove the wellposedness of associated Mckean-Vlasov SDE and establish the convergence results of the Nash equilibria. The key technique consists in a detailed analysis of the continuity property under the $\mathcal{WOP}_2$ metric, and tailor-made arguments for different graphon equilibria under different regularities of the model.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper extends the mutual holding mean field game of Djete-Touzi to the graphon setting. Adopting the enlarged-space formulation of Lacker-Soret, it derives an explicit characterization of the optimal strategy, establishes wellposedness of the associated McKean-Vlasov SDE, and proves convergence of Nash equilibria, all under conditions on the graphon that guarantee continuity with respect to the WOP2 metric. The arguments are tailored to different regularity classes of the graphon.
Significance. If the central claims hold, the work supplies a concrete extension of mutual-holding MFGs to heterogeneous interactions, with the explicit strategy and convergence results constituting a clear technical contribution. The tailored continuity analysis under WOP2 for varying graphon regularities is a strength that could be useful in applications involving network-structured populations.
minor comments (3)
- [§2] §2 (or the assumptions section): the precise statement of the graphon conditions guaranteeing WOP2 continuity should be collected in a single, numbered assumption block rather than scattered across the text.
- The notation for the enlarged-space processes (value process and graphon label) is introduced gradually; a compact table summarizing the state variables and their laws would improve readability.
- Theorem statements on convergence should explicitly reference the topology in which the convergence of Nash equilibria is obtained (e.g., in the WOP2 sense or in a weaker topology).
Simulated Author's Rebuttal
We thank the referee for the careful reading and positive assessment of our manuscript, including the accurate summary of the extension of mutual-holding MFGs to graphons via the enlarged-space formulation, the explicit optimal strategies, McKean-Vlasov well-posedness, and the WOP2 continuity analysis tailored to graphon regularity classes. We appreciate the recommendation for minor revision.
Circularity Check
No significant circularity identified
full rationale
The paper extends the mutual holding MFG from Djete and Touzi (AAP 2024) and adopts the enlarged-space formulation from Lacker and Soret (MOR 2023), both external citations with no author overlap. The central contributions—explicit optimal strategy characterization, McKean-Vlasov SDE wellposedness, and Nash equilibrium convergence—rest on new analysis of continuity under the WOP2 metric and tailored arguments for varying graphon regularities. These steps are self-contained and do not reduce to self-definitions, fitted inputs renamed as predictions, or load-bearing self-citations.
Axiom & Free-Parameter Ledger
Reference graph
Works this paper leans on
-
[1]
Amini, Z
H. Amini, Z. Cao, and A. Sulem. Graphon mean-field backward stochastic differential equa- tions with jumps and associated dynamic risk measures.Finance and Stochastics, 29(4):1139– 1194, 2025
2025
-
[2]
Aurell, R
A. Aurell, R. Carmona, and M. Lauriere. Stochastic graphon games: Ii. the linear-quadratic case.Applied Mathematics & Optimization, 85(3):39, 2022
2022
-
[3]
Bassou, M.F
L. Bassou, M.F. Djete, and N. Touzi. Mean field game of mutual holding with common noise. SIAM Journal on Financial Mathematics, 16(4):1350–1373, 2025
2025
-
[4]
Bayraktar, S
E. Bayraktar, S. Chakraborty, and R. Wu. Graphon mean field systems.The Annals of Applied Probability, 33(5):3587–3619, 2023
2023
-
[5]
Bayraktar, X
E. Bayraktar, X. He, and D. Kim. Graphon particle system with common noise.arXiv preprint, 2025
2025
-
[6]
Bayraktar and R
E. Bayraktar and R. Wu. Stationarity and uniform in time convergence for the graphon particle system.Stochastic Processes and their Applications, 150:532–568, 2022
2022
-
[7]
Bayraktar and R
E. Bayraktar and R. Wu. Graphon particle system: Uniform-in-time concentration bounds. Stochastic Processes and their Applications, 156:196–225, 2023
2023
-
[8]
Bayraktar, R
E. Bayraktar, R. Wu, and X. Zhang. Propagation of chaos of forward–backward stochas- tic differential equations with graphon interactions.Applied Mathematics & Optimization, 88(1):25, 2023
2023
-
[9]
Beiglb¨ ock, B
M. Beiglb¨ ock, B. Jourdain, W. Margheriti, and G. Pammer. Stability of the weak martingale optimal transport problem.The Annals of Applied Probability, 33(6B):5382–5412, 2023
2023
-
[10]
Billingsley.Convergence of probability measures
P. Billingsley.Convergence of probability measures. John Wiley & Sons, 2013. 31
2013
-
[11]
Caines and M
P.E. Caines and M. Huang. Graphon mean field games and their equations.SIAM Journal on Control and Optimization, 59(6):4373–4399, 2021
2021
-
[12]
Coppini, A
F. Coppini, A. De Crescenzo, and H. Pham. Nonlinear graphon mean-field systems.arXiv preprint, 2025
2025
-
[13]
De Crescenzo, F
A. De Crescenzo, F. De Feo, and H. Pham. Linear-quadratic optimal control for non- exchangeable mean-field sdes and applications to systemic risk.ESAIM: Control, Optimisa- tion and Calculus of Variations, 32:34, 2026
2026
-
[14]
M.F. Djete. A non-exchangeable mean field control problem with controlled interactions. arXiv preprint, 2025
2025
-
[15]
Djete, G
M.F. Djete, G. Guo, and N. Touzi. Mean field game of mutual holding with defaultable agents and systemic risk.arXiv preprint, 2023
2023
-
[16]
Djete and N
M.F. Djete and N. Touzi. Mean field game of mutual holding.The Annals of Applied Probability, 34(6):4999–5031, 2024
2024
-
[17]
Huang, R.P
M. Huang, R.P. Malham´ e, and P.E. Caines. Large population stochastic dynamic games: closed-loop mckean-vlasov systems and the nash certainty equivalence principle.Communi- cations in information and systems, 6(3):221–252, 2006
2006
-
[18]
N. E. Karoui and S. M´ el´ eard. Martingale measures and stochastic calculus.Probability theory and related fields, 84(1):83–101, 1990
1990
-
[19]
Krylov.Controlled diffusion processes
N.V. Krylov.Controlled diffusion processes. Springer, 1980
1980
-
[20]
D. Lacker. Mean field games via controlled martingale problems: existence of markovian equilibria.Stochastic Processes and their Applications, 125(7):2856–2894, 2015
2015
-
[21]
Lacker and A
D. Lacker and A. Soret. A label-state formulation of stochastic graphon games and approx- imate equilibria on large networks.Mathematics of Operations Research, 48(4):1987–2018, 2023
1987
-
[22]
Lasry and P.L
J.M. Lasry and P.L. Lions. Mean field games.Japanese journal of mathematics, 2(1):229–260, 2007
2007
-
[23]
Leblanc, T.L
H. Leblanc, T.L. Gouic, J. Liandrat, and M. Tournus. Extending the wasserstein metric to positive measures.arXiv preprint, 2023
2023
-
[24]
Lov´ asz.Large networks and graph limits
L. Lov´ asz.Large networks and graph limits. American Mathematical Society, 2012
2012
-
[25]
Pardoux and S
E. Pardoux and S. Peng. Adapted solution of a backward stochastic differential equation. System and Control Letters, 14(1):55–61, 1990
1990
-
[26]
Rudin.Principles of Mathematical Analysis, volume 3
W. Rudin.Principles of Mathematical Analysis, volume 3. McGraw-Hill, 1976
1976
-
[27]
Y. Sun. A theory of hyperfinite processes: the complete removal of individual uncertainty via exact LLN.Journal of Mathematical Economics, 29(4):419–503, 1998. 32
1998
-
[28]
Y. Sun. The exact law of large numbers via fubini extension and characterization of insurable risks.Journal of Economic Theory, 126(1):31–69, 2006
2006
-
[29]
Tangpi and X
L. Tangpi and X. Zhou. Optimal investment in a large population of competitive and het- erogeneous agents.Finance and Stochastics, 28(2):497–551, 2024
2024
-
[30]
Villani.Topics in optimal transportation
C. Villani.Topics in optimal transportation. American Mathematical Society, 2021. 33
2021
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