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On a multi-dimensional McKean-Vlasov SDE with memorial and singular interaction associated to the parabolic-parabolic Keller-Segel model

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DataCite Commons2024-08-30 更新2024-09-03 收录
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https://tandf.figshare.com/articles/dataset/On_a_multi-dimensional_McKean-Vlasov_SDE_with_memorial_and_singular_interaction_associated_to_the_parabolic-parabolic_Keller-Segel_model/26778548/2
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资源简介:
In this work, we first prove the well-posedness of the non-linear martingale problem related to a McKean-Vlasov stochastic differential equation with singular interaction kernel in <i>ℝ</i><sup><i>d</i></sup> for <i>d</i>≥3. The particularity of our setting is that the McKean-Vlasov process we study interacts at each time with all its past time marginal laws by means of a singular space-time kernel. Second, we prove that our stochastic process is a probabilistic interpretation for the parabolic-parabolic Keller-Segel system in <i>ℝ</i><sup><i>d</i></sup>. We thus obtain a well-posedness result to the latter under explicit smallness condition on the parameters of the model.

本文首先证明了d≥3维欧几里得空间(ℝᵈ)中,带奇异相互作用核的麦克凯恩-弗拉索夫(McKean-Vlasov)随机微分方程对应的非线性鞅问题的适定性。本研究设定的独特之处在于,所研究的麦克凯恩-弗拉索夫过程在每一时刻,均通过奇异时空核与该过程所有过往时刻的边缘分布发生相互作用。其次,我们证明了该随机过程可作为d维欧几里得空间中抛物-抛物型凯勒-塞格尔(Keller-Segel)系统的概率解释。据此,我们在模型参数满足显式小性条件的前提下,得到了该系统的适定性结果。
提供机构:
Taylor & Francis
创建时间:
2024-08-30
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