Coupling by change of measure for conditional McKean–Vlasov SDEs and applications

IF 1.1 2区 数学 Q3 STATISTICS & PROBABILITY Stochastic Processes and their Applications Pub Date : 2024-10-19 DOI:10.1016/j.spa.2024.104508
Xing Huang
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Abstract

The couplings by change of measure are applied to establish log-Harnack inequality(equivalently the entropy-cost estimate) for conditional McKean–Vlasov SDEs and derive the quantitative conditional propagation of chaos in relative entropy for mean field interacting particle system with common noise. For the log-Harnack inequality, two different types of couplings will be constructed for non-degenerate conditional McKean–Vlasov SDEs with multiplicative noise. As to the quantitative conditional propagation of chaos in relative entropy, the initial distribution of interacting particle system is allowed to be singular with that of limit equation. The above results are also extended to conditional distribution dependent stochastic Hamiltonian system.
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条件麦金-弗拉索夫 SDE 的量纲变化耦合及其应用
应用量纲变化耦合建立条件麦金-弗拉索夫 SDE 的对数-哈纳克不等式(等价于熵-成本估计),并推导出具有共同噪声的均场相互作用粒子系统相对熵的定量条件混沌传播。对于对数-哈纳克不等式,将为具有乘法噪声的非退化条件麦金-弗拉索夫 SDEs 构造两种不同类型的耦合。至于相对熵中混沌的定量条件传播,允许相互作用粒子系统的初始分布与极限方程的初始分布奇异。上述结果还扩展到条件分布依赖随机哈密顿系统。
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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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