On the generalized McKean–Vlasov stochastic differential equations driven by time-changed Brownian motion

In this paper, we investigate a class of generalized time-changed McKean–Vlasov stochastic differential equations with two drift terms, one driven by the random change Et and the other driven by nonrandom time t. Firstly, we consider the existence and uniqueness of the solution to the considered equations under some appropriate conditions. Meanwhile, by developing some generalized Itô’s formulas, some sufficient conditions are provided to guarantee the solutions to be stable in several different senses in terms of Lyapunov functions. Subsequently, we explore the non-confluence property of the solution to the considered equations by establishing some so-called time-changed Gronwall-like inequalities. Finally, some numerical examples are provided to demonstrate the effectiveness and applicability of the proposed theoretical results.

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Publication Details

Journal
Stochastic Analysis and Applications
Published
2026-10-16
DOI
https://doi.org/10.1080/07362994.2026.2741810
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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On the generalized McKean–Vlasov stochastic differential equations driven by time-changed Brownian motion

Zhi Li, Liping Xu, Yulin Du, Liu Bian
Stochastic Analysis and Applications
Stochastic processes and financial applications
article

On the generalized McKean–Vlasov stochastic differential equations driven by time-changed Brownian motion

Zhi Li, Liping Xu, Yulin Du, Liu Bian
article en

Abstract

In this paper, we investigate a class of generalized time-changed McKean–Vlasov stochastic differential equations with two drift terms, one driven by the random change Et and the other driven by nonrandom time t. Firstly, we consider the existence and uniqueness of the solution to the considered equations under some appropriate conditions. Meanwhile, by developing some generalized Itô’s formulas, some sufficient conditions are provided to guarantee the solutions to be stable in several different senses in terms of Lyapunov functions. Subsequently, we explore the non-confluence property of the solution to the considered equations by establishing some so-called time-changed Gronwall-like inequalities. Finally, some numerical examples are provided to demonstrate the effectiveness and applicability of the proposed theoretical results.

Stochastic Analysis and Applications
Yangtze University (CN), Shanghai University of Finance and Economics (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 9%
Stochastic processes and financial applications
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