In this article, we focused on a class of mean-field stochastic differential equations driven by time-changed Lévy noise. We first discussed the existence and uniqueness of solutions under the non-Lipschitz case with the Lipschitz condition as the special case by adopting the Carathéodory approximation. To prove our results, we established a new time-changed retarded integral inequality, which is easy to apply in practice and can be considered as a more general tool in some situations. Then, the classical Itô formula was extended to that for mean-field stochastic differential equations driven by time-changed Lévy noise. As an application of Itô's formula, we showed that the trivial solution is $ p $-th moment asymptotically stable, stable in probability, asymptotically stable in probability, and globally asymptotically stable in probability based on the Lyapunov function. Finally, an example was presented to validate the produced results.
Citation: Mahmoud Abouagwa, Maher Ibrahim Tawdrous. Solvability and stability of mean-field stochastic differential equations driven by time-changed Lévy noise[J]. AIMS Mathematics, 2026, 11(6): 15952-15989. doi: 10.3934/math.2026657
In this article, we focused on a class of mean-field stochastic differential equations driven by time-changed Lévy noise. We first discussed the existence and uniqueness of solutions under the non-Lipschitz case with the Lipschitz condition as the special case by adopting the Carathéodory approximation. To prove our results, we established a new time-changed retarded integral inequality, which is easy to apply in practice and can be considered as a more general tool in some situations. Then, the classical Itô formula was extended to that for mean-field stochastic differential equations driven by time-changed Lévy noise. As an application of Itô's formula, we showed that the trivial solution is $ p $-th moment asymptotically stable, stable in probability, asymptotically stable in probability, and globally asymptotically stable in probability based on the Lyapunov function. Finally, an example was presented to validate the produced results.
| [1] |
M. Abouagwa, A. D. Khalaf, N. Gul, S. Alyobi, A. S. Mohamed, Multivalued impulsive SDEs driven by G-Brownian noise: Periodic averaging result, Complexity, 2022, 1–16. https://doi.org/10.1155/2022/5619693 doi: 10.1155/2022/5619693
|
| [2] |
M. Abouagwa, An averaging limit theorem for impulsive delay stochastic fractional differential equations, Contemp. Math., 6 (2025), 6671–6688. https://doi.org/10.37256/cm.6520257180 doi: 10.37256/cm.6520257180
|
| [3] | D. Applebaum, Lévy processes and stochastic calculus, Cambridge University Press, 116 (2009). https://doi.org/10.1017/CBO9780511809781 |
| [4] |
K. Bahlali, M. A. Mezerdi, B. Mezerdi, Stability of McKean-Vlasov stochastic differential equations and applications, Stoch. Dyn., 20 (2020), 2050007. https://doi.org/10.1142/S0219493720500070 doi: 10.1142/S0219493720500070
|
| [5] |
I. Bihari, A generalization of a lemma of Bellman and its application to uniqueness problem of differential equations, Acta Math. Hung., 7 (1956), 81–94. https://doi.org/10.1007/bf02022967 doi: 10.1007/bf02022967
|
| [6] |
J. F. Chassagneux, D. Crisan, F. Delarue, A Probabilistic approach to classical solutions of the master equation for large population equilibria, Mem. Amer. Math. Soc., 280 (2022). https://doi.org/10.1090/memo/1379 doi: 10.1090/memo/1379
|
| [7] | J. C. Cox, J. E. Ingersoll, S. A. Ross, A theory of the term structure of interest rates, Econometrica, 53 (1985), 385–407. |
| [8] |
M. Gao, J. Zhao, W. Sun, Stochastic $H_2/H_\infty$ control for discrete-time mean-field systems with Poisson Jump, J. Frankli. Inst., 358 (2021), 2933–2947. https://doi.org/10.1016/j.jfranklin.2021.02.005 doi: 10.1016/j.jfranklin.2021.02.005
|
| [9] |
W. R. P. Hammersley, D. Šiška, L. Szpruch, McKean-Vlasov SDEs under measure dependent Lyapunov conditions, Ann. Inst. H. Poincaré Probab. Statist., 57 (2021), 1032–1057. https://doi.org/10.1214/20-AIHP1106 doi: 10.1214/20-AIHP1106
|
| [10] |
S. L. Heston, A closed-form solution for options with stochastic volatiltiy with applications to bond and currency options, Rev. Fin. Stud., 6 (1993), 327–343. https://doi.org/10.1093/rfs/6.2.327 doi: 10.1093/rfs/6.2.327
|
| [11] |
X. Huang, M. Röckner, F. Y. Wang, Nonlinear Fokker-Planck equations for probability measures on path space and path-distribution dependent SDEs, Discrt. Cont. Dyn. Syst. B, 39 (2019), 3017–3035. https://doi.org/10.3934/dcds.2019125 doi: 10.3934/dcds.2019125
|
| [12] |
S. Jin, K. Kobayashi, Strong approximation of stochastic differential equations driven by a time-changed Brownian motion with time-space-dependent coefficients, J. Math. Anal. Appl., 476 (2019), 619–636. https://doi.org/10.1016/j.jmaa.2019.04.001 doi: 10.1016/j.jmaa.2019.04.001
|
| [13] | M. Kac, Foundations of kinetic theory, In: Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, University of California Press, Vol. Ⅲ, 1956, 171–197. Available from: https://api.semanticscholar.org/CorpusID: 67833762. |
| [14] |
A. D. Khalaf, A. Zeb, T. Saeed, M. Abouagwa, S. Djilali, H. M. Alshehri, A special study of the mixed weighted fractional Brownian motion, Fractal Fract., 5 (2021), 1–10. https://doi.org/10.3390/fractalfract5040192 doi: 10.3390/fractalfract5040192
|
| [15] |
A. D. Khalaf, T. Saeed, R. Abu-Shanab, W. Almutiry, M. Abouagwa, Estimating drift parameters in a sub-fractional Vasicek-type process, Fractal Fract., 24 (2022), 1–19. https://doi.org/10.3390/e24050594 doi: 10.3390/e24050594
|
| [16] |
K. Kobayashi, Stochastic calculus for a time-changed semimartingales and the associated stochastic differential equations, J. Theor. Probab., 24 (2011), 789–820. https://doi.org/10.1007/s10959-010-0320-9 doi: 10.1007/s10959-010-0320-9
|
| [17] | H. H. Kuo, Introduction to stochastic integration, Springer New York, 2005. https://doi.org/10.1007/0-387-31057-6 |
| [18] |
Y. K. Kwow, Pricing multi-asset options with an external barrier, Int. J. Theor. Appl. Fin., 1 (1998), 523–541. https://doi.org/10.1142/S021902499800028X doi: 10.1142/S021902499800028X
|
| [19] |
X. Li, Y. Ren, On the practical stability with regard to a part of the variables for distribution-dependent SDEs driven by time-changed Brownian motion, Int. J. Control, 96 (2023), 2911–2916. https://doi.org/10.1080/00207179.2022.2117088 doi: 10.1080/00207179.2022.2117088
|
| [20] |
Z. Li, L. P. Xu, W. Ma, Global attracting sets and exponential stability of stochastic functional differential equations driven by the time-changed Brownian motion, Syst. Contr. Lett., 160 (2022), 105103. https://doi.org/10.1016/j.sysconle.2021.105103 doi: 10.1016/j.sysconle.2021.105103
|
| [21] |
Z. Li, L. Xu, L. Yan, Mckean-Vlasov stochastic differential equations driven by time-changed Brownian motion, J. Math. Anal. Appl., 527 (2023), 127336. https://doi.org/10.1016/j.jmaa.2023.127336 doi: 10.1016/j.jmaa.2023.127336
|
| [22] |
M. Magdziarz, Stochastic representation of subdiffusion processes with time-dependent drift, Stoch. Proc. Appl., 119 (2009), 3238–3252. https://doi.org/10.1016/j.spa.2009.05.006 doi: 10.1016/j.spa.2009.05.006
|
| [23] |
M. Magdziarz, Path properties of subdiffusion-A martingale approach, Stoch. Models, 26 (2010), 256–271. https://doi.org/10.1080/15326341003756379 doi: 10.1080/15326341003756379
|
| [24] |
F. Mainardi, On some properties of the Mittag-Leffler function $E_\alpha(-t^\alpha)$, completely monotone for $t>0$ with $0 < \alpha < 1$, Discrt. Cont. Dyn. Syst. B, 19 (2014), 2267–2278. https://doi.org/10.3934/dcdsb.2014.19.2267 doi: 10.3934/dcdsb.2014.19.2267
|
| [25] |
X. Mao, Adapted solutions of backward stochastic differential equations with non-Lipschitz coefficents, Stoch. Process. Appl., 58 (1995), 281–292. https://doi.org/10.1016/0304-4149(95)00024-2 doi: 10.1016/0304-4149(95)00024-2
|
| [26] |
H. P. McKean, A class of Markov processes associated with nonlinear parabolic equations, P. Natl. Acad. Sci. USA, 56 (1966), 1907–1911. https://doi.org/10.1073/pnas.56.6.1907 doi: 10.1073/pnas.56.6.1907
|
| [27] | M. M. Meerscheart, H. P. Scheffler, Limit theorems for continuous time random walks with infinite mean waiting times, J. Appl. Prob., 41 (2004), 623–638. Available from: https://www.jstor.org/stable/4141342. |
| [28] |
M. M. Meerscheart, H. P. Scheffler, Triangular array limits for continuous time random walks, Stoch. Process. Appl., 118 (2008), 1606–1633. https://doi.org/10.1016/j.spa.2007.10.005 doi: 10.1016/j.spa.2007.10.005
|
| [29] |
M. A. Mezerdi, N. Khelfallah, Stability and prevalence of McKean-Vlasov stochastic differential equations with non-Lipschitz coefficients, Random Oper. Stoch. Equ., 29 (2021), 67–78. https://doi.org/10.1515/rose-2021-2053 doi: 10.1515/rose-2021-2053
|
| [30] |
Y. Mishura, A. Veretennikov, Existence and uniqueness theorems for solutions of McKean-Vlasov stochastic equations, Theor. Probab. Math. Stat., 103 (2020), 59–101. https://doi.org/10.1090/tpms/1135 doi: 10.1090/tpms/1135
|
| [31] |
E. Nane, Y. Ni, Stability of the solution of stochastic differential equation driven by time-changed Lévy noise, Proc. Am. Math. Soc., 145 (2017), 3085–3104. http://dx.doi.org/10.1090/proc/13447 doi: 10.1090/proc/13447
|
| [32] |
E. Nane, Y. Ni, Path stability of stochastic differential equations driven by time-changed Lévy noises, ALEA Lat. Am. J. Probab. Math. Stat., 15 (2018), 479–507. http://dx.doi.org/10.30757/ALEA.v15-20 doi: 10.30757/ALEA.v15-20
|
| [33] |
E. Nane, Y. Ni, A time-changed stochastic control problem and its maximum principle theory, Probab. Math. Stat., 41 (2021), 193–215. http://dx.doi.org/10.37190/0208-4147.41.2.1 doi: 10.37190/0208-4147.41.2.1
|
| [34] |
C. Peng, W. Zhang, L. Ma, Infinite horizon multiobjective optimal control of stochastic cooperative linear-quadratic dynamic difference games, J. Frankl. Inst., 358 (2021), 8288–8307. https://doi.org/10.1016/j.jfranklin.2021.08.022 doi: 10.1016/j.jfranklin.2021.08.022
|
| [35] |
C. Peng, W. Zhang, Pareto optimality in infinite horizon mean-field stochastic cooperative linear-quadratic difference games, IEEE T. Automat. Contr., 68 (2023), 4113–4126. https://doi.org/10.1109/TAC.2022.3202824 doi: 10.1109/TAC.2022.3202824
|
| [36] |
H. Pham, X. Wei, Dynamic programming for optimal control of stochastic Mckean-Vlasov dynamics, SIAM J. Control Optim., 55 (2017), 1069–1101. https://doi.org/10.1137/16M1071390 doi: 10.1137/16M1071390
|
| [37] |
H. Qiao, J. Gong, The stability for multivalued McKean-Vlasov SDEs with non-Lipschitz coefficients, Front. Math., 20 (2025), 905–932. https://doi.org/10.1007/s11464-022-0273-1 doi: 10.1007/s11464-022-0273-1
|
| [38] |
P. Ren, F. Y. Wang, Space-Distribution PDEs for path independent additive functionals of McKean–Vlasov SDEs, Infin. Dimens. Anal. Qu., 23 (2020), 2050018. https://doi.org/10.1142/S0219025720500186 doi: 10.1142/S0219025720500186
|
| [39] |
G. Shen, W. Xu, J. L. Wu, An averagig principle for stochastic differential delay equations driven by time-changed Lévy noise, Acta Math. Sci., 42 (2022), 540–550. https://doi.org/10.1007/s10473-022-0208-7 doi: 10.1007/s10473-022-0208-7
|
| [40] |
G. Shen, T. Zhang, J. Song, J. L. Wu, On a class of distribution dependent stochastic differential equations driven by time-changed Brownian motions, Appl. Math. Optim., 88 (2023), 1–31. https://doi.org/10.1007/s00245-023-10007-3 doi: 10.1007/s00245-023-10007-3
|
| [41] |
G. Shen, J. Xiang, J. L. Wu, Stochastic averaging principle and stability for multi-valued McKean-Vlasov stochastic differential equations with jumps, arXiv preprint, 2023. https://doi.org/10.48550/arXiv.2308.02195 doi: 10.48550/arXiv.2308.02195
|
| [42] | S. Umarov, M. Hahn, K. Kobayashi, Beyond the triangle: Brownian motion, Itô calculus, and Fokker-Planck equation-fractional generalizations, World Scientific, 2018. |
| [43] |
X. Q. Wen, Z. Li, L. Xu, Strong approximation of non-autonomous time-changed McKean-Vlasov stochastic differential equations, Commun. Nonlinear Sci., 119 (2023), 107122. https://doi.org/10.1016/j.cnsns.2023.107122 doi: 10.1016/j.cnsns.2023.107122
|
| [44] |
Q. Wu, Stability analysis for a class of nonlinear time-changed systems, Cogent Math., 3 (2016), 1228273. https://doi.org/10.1080/23311835.2016.1228273 doi: 10.1080/23311835.2016.1228273
|
| [45] |
X. W. Yin, W. T. Xu, G. J. Shen, Stability of stochastic differential equations driven by the time-changed Lévy process with impulsive effects, Int. J. Syst. Sci., 52 (2021), 2338–2357. https://doi.org/10.1080/00207721.2021.1885763 doi: 10.1080/00207721.2021.1885763
|
| [46] |
X. Zhang, C. Yuan, Razumikhin-type theorem on time-changed stochastic functional differential equations with Markovian switching, Open Math., 17 (2019), 689–699. https://doi.org/10.1515/math-2019-0055 doi: 10.1515/math-2019-0055
|
| [47] |
W. Zhang, C. Peng, Indefinite mean-field stochastic cooperative linear-quadratic dynamic difference game with its application to the network security model, IEEE Trans. Cybern., 52 (2022), 11805–11818. https://doi.org/10.1109/TCYB.2021.3070352 doi: 10.1109/TCYB.2021.3070352
|
| [48] |
S. Zhang, Z. Q. Chen, Stochastic maximum principle for subdiffusions and its applications, SIAM J. Control Optim., 62 (2024), 953–981. https://doi.org/10.1137/23M157168X doi: 10.1137/23M157168X
|
| [49] |
M. Zhu, J. P. Li, D.Z. Liu, Exponential stability for time-changed stochastic differential equations, Acta Math. Appl. Sin.-E., 37 (2021), 617–627. https://doi.org/10.1007/s10255-021-1031-y doi: 10.1007/s10255-021-1031-y
|