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| 文件名: At_the_Mercy_of_the_Common_Noise:_Blow-ups_in_a_Conditional_McKean--Vlasov_Problem.pdf | |
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英文标题:
《At the Mercy of the Common Noise: Blow-ups in a Conditional McKean--Vlasov Problem》 --- 作者: Sean Ledger and Andreas Sojmark --- 最新提交年份: 2021 --- 英文摘要: We extend a model of positive feedback and contagion in large mean-field systems, by introducing a common source of noise driven by Brownian motion. Although the driving dynamics are continuous, the positive feedback effect can lead to `blow-up\' phenomena whereby solutions develop jump-discontinuities. Our main results are twofold and concern the conditional McKean--Vlasov formulation of the model. First and foremost, we show that there are global solutions to this McKean--Vlasov problem, which can be realised as limit points of a motivating particle system with common noise. Furthermore, we derive results on the occurrence of blow-ups, thereby showing how these events can be triggered or prevented by the pathwise realisations of the common noise. --- 中文摘要: 通过引入由布朗运动驱动的公共噪声源,我们在大平均场系统中推广了一个正反馈和传染模型。尽管驾驶动力是连续的,但正反馈效应可能会导致“爆炸”现象,从而导致解决方案产生跳跃不连续性。我们的主要结果是双重的,涉及模型的条件McKean-Vlasov公式。首先,我们证明了这个McKean-Vlasov问题有全局解,它可以作为具有共同噪声的激励粒子系统的极限点来实现。此外,我们得出了爆破发生的结果,从而说明了如何通过路径实现公共噪声来触发或防止这些事件。 --- 分类信息: 一级分类:Mathematics 数学 二级分类:Probability 概率 分类描述:Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory 概率论与随机过程的理论与应用:例如中心极限定理,大偏差,随机微分方程,统计力学模型,排队论 -- 一级分类:Mathematics 数学 二级分类:Analysis of PDEs 偏微分方程分析 分类描述:Existence and uniqueness, boundary conditions, linear and non-linear operators, stability, soliton theory, integrable PDE\'s, conservation laws, qualitative dynamics 存在唯一性,边界条件,线性和非线性算子,稳定性,孤子理论,可积偏微分方程,守恒律,定性动力学 -- 一级分类:Quantitative Finance 数量金融学 二级分类:Mathematical Finance 数学金融学 分类描述:Mathematical and analytical methods of finance, including stochastic, probabilistic and functional analysis, algebraic, geometric and other methods 金融的数学和分析方法,包括随机、概率和泛函分析、代数、几何和其他方法 -- --- PDF下载: --> |
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