Abstract
In this paper we study the asymptotic behaviors of small perturbation for a class of multivalued McKean–Vlasov stochastic differential equations. By using the weak convergence approach, we establish the large and moderate deviation principles. We also obtain the central limit theorem, in which the limit process is a solution to some multivalued McKean–Vlasov stochastic differential equation involving the Lions derivative in the drift coefficient.
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Adams, D., Dos Reis, G., Ravaille, R., Salkekd, W., Tugaut, J.: Large deviations and exit-times for reflected McKean-Vlasov equations with self-stabilising terms and superlinear drifts. Stoch. Proc. Appl. 146, 264–310 (2022)
Budhiraja, A., Dupuis, P.: A variational representation for positive functionals of an infinite dimensional Brownian motion. Probab. Math. Stat. 20, 39–61 (2000)
Budhiraja, A., Dupuis, P., Maroulas, V.: Large deviations for infinite dimensional stochastic dynamical systems continuous time processes. Ann. Probab. 36, 1390–1420 (2008)
Budhiraja, A., Dupuis, P., Maroulas, V.: Variational representations for continuous time processes. Ann. Inst. Henri Poincaré Probab. Stat. 47, 725–747 (2011)
Cépa, E.: Prob XXIX Équations Différentielles Stochasticques Multivoques. Lect Notes in Math Séminaire, pp. 86–107. Springer, Berlin (1995)
Cépa, E.: Probleme de Skorohod Multivoque. Ann. Prob. 26, 500–532 (1998)
Chi, H.: Multivalued stochastic McKean–Vlasov equation. Acta Math. Sci. 34B, 1731–1740 (2014)
Dembo, A., Zeitouni, O.: Large Deviations Techniques and Applications, vol. 38. Springer, Berlin (2010)
Ding, X., Qiao, H.: Stability for stochastic McKean–Vlasov equations with non-Lipschitz coefficients. SIAM J. Control Optim. 59, 887–905 (2021)
Ding, X., Qiao, H.: Euler-Maruyama approximations for stochastic McKean–Vlasov equations with non-Lipschitz coefficients. J. Theor. Probab. 34, 1408–1425 (2021)
Dos Reis, G., Salkekd, W., Tugaut, J.: Freidlin–Wentzell LDP in path space for McKean–Vlasov equations and the functional iterated logarithm law. Ann. Appl. Probab. 29, 1487–1540 (2019)
Dupuis, P., Ellis, R.S.: A Weak Convergence Approach to the Theory of Large Deviations. Wiley, New York (1997)
Fan, X., Yu, T., Yuan, C.: Asymptotic behaviors for distribution dependent SDEs driven by fractional Brownian motions. arxiv:2207.01525
Gong, J., Qiao, H.: The stability for multivalued McKean–Vlasov SDEs with non-Lipschitz coefficients. arxiv:2106.12080
Guillin, A., Liu, W., Wu, L., Zhang, C.: Uniform Poincaré and logarithmic Sobolev inequalities for mean field particle systems. Ann. Appl. Probab. 32(3), 1590–1614 (2022)
Guillin, A., Liu, W., Wu, L., Zhang, C.: The kinetic Fokker–Planck equation with mean field interaction. J. Math. Pures Appl. 150, 1–23 (2021)
Herrmann, S., Imkeller, P., Peithmann, D.: Large deviations and a Kramers’ type law for self-stabilizing diffusions. Ann. Appl. Probab. 18, 1379–1423 (2008)
Kac, M.: Foundations of kinetic theory. In: Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, 1954-1955, vol. III, pp. 171–197. University of California Press, Berkeley and Los Angeles (1956)
Liu, M., Qiao, H.: Parameter estimation of path-dependent McKean–Vlasov stochastic differential equations. Acta Math. Sci. 42B, 876–886 (2022)
Liu, W., Song, Y., Zhai, J., Zhang, T.: Large and moderate deviation principles for McKean–Vlasov SDEs with jumps. Potential Anal. (2022). https://doi.org/10.1007/s11118-022-10005-0
Liu, W., Wu, L.: Large deviations for empirical measures of mean-field Gibbs measures. Stoch. Proc. Appl. 130, 503–520 (2020)
Liu, W., Wu, L., Zhang, C.: Long-time behavior of mean-field interacting particle systems related to McKean–Vlasov equation. Commun. Math. Phys. 387, 179–214 (2021)
Matoussi, A., Sabbagh, W., Zhang, T.: Large deviation principle of obstacle problems for Quasilinear Stochastic PDEs. Appl. Math. Optim. 83, 849–879 (2021)
McKean, H.P.: A class of Markov processes associated with nonlinear parabolic equations. Proc. Natl. Acad. Sci. USA 56(6), 1907–1911 (1966)
Méléard, S.: Asymptotic behaviour of some interacting particle systems; McKean–Vlasov and Boltzmann models. In: Talay, D., Tubaro, L. (eds.) Probabilistic Models for Nonlinear Partial Differential Equations, Montecatini Terme, 1995, Lecture Notes in Mathematics, vol. 1627, pp. 42–95. Springer-Verlag, Berlin (1996)
Răşcanu, A.: Deterministic and stochastic differential equations in Hilbert spaces involving multivalued maximal monotone operators. arxiv:1402.0748
Ramanan, K., Reiman, M.I.: Fluid and heavy traffic diffusion limits for a generalized processor sharing model. Ann. Appl. Probab. 13(1), 100–139 (2003)
Ren, Y., Wang, J.: Large deviation for mean-field stochastic differential equations with subdifferential operator. Stoch. Proc. Appl. 34, 318–338 (2016)
Ren, P., Wang, F.-Y.: Bismut formula for lions derivative of distribution dependent SDEs and applications. J. Differ. Equ 267, 4745–4777 (2019)
Ren, J., Wu, J., Zhang, H.: General large deviations and functional iterated logarithm law for multivalued stochastic differential equations. J. Theor. Probab. 28, 550–586 (2015)
Ren, J., Wu, J., Zhang, X.: Exponential ergodicity of non-Lipschitz multivalued stochastic differential equations. Bull. Sci. Math 134, 391–404 (2010)
Ren, J., Xu, S., Zhang, X.: Large deviations for multivalued stochastic differential equations. J. Theor. Probab 23, 1142–1156 (2010)
Röckner, M., Zhang, X.: Well-posedness of distribution dependent SDEs with singular drifts. Bernoulli 27(2), 1131–1158 (2021)
Suo, Y., Yuan, C.: Central limit theorem and moderate deviation principle for McKean–Vlasov SDEs. Acta Appl. Math. 175, 16 (2021)
Sznitman, A.S.: Topics in propagation of chaos. École d’Été de Probabilités de Saint-Flour XIX. Lect. Notes Math. 1464, 165–251 (1991)
Wu, L.: Moderate deviations of dependent random variables related to CLT. Ann. Probab. 23, 420–445 (1995)
Xu, S.: Explicit solutions for multivalued stochastic differential equations. Stat. Probab. Lett. 78(15), 2281–2292 (2008)
Zhang, H.: Moderate deviation principle for multivalued stochastic differential equations. Stoch. Dyn. 20, 1–30 (2020)
Zhang, X.: Skorohod problem and multivalued stochastic evolution equations in Banach spaces. Bull. Sci. Math. 131, 175–217 (2007)
Acknowledgements
Four authors are grateful to two referees since their suggestions and comments allowed them to improve the results and the presentation of this paper.
Funding
This work is supported by NSF of China (No.12071071, 12071361, 12131019).
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Four authors contributed to the study conception and design. The first draft of the manuscript was written by KF and four authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Fang, K., Liu, W., Qiao, H. et al. Asymptotic Behaviors of Small Perturbation for Multivalued Mckean–Vlasov Stochastic Differential Equations. Appl Math Optim 88, 22 (2023). https://doi.org/10.1007/s00245-023-10004-6
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DOI: https://doi.org/10.1007/s00245-023-10004-6
Keywords
- Multivalued McKean–Vlasov stochastic differential equations
- Large deviation principles
- Central limit theorems
- Moderate deviation principles