马丁格尔驱动积分和奇异 SPDEs

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY Probability Theory and Related Fields Pub Date : 2024-08-12 DOI:10.1007/s00440-024-01311-2
P. Grazieschi, K. Matetski, H. Weber
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引用次数: 0

摘要

我们考虑了关于 càdlàg martingales 的多重随机积分,它近似于圆柱维纳过程。我们为这些积分定义了一种类似于多重维纳随机积分的混沌扩展,并用它来显示矩界。关键工具包括 Burkholder-Davis-Gundy 不等式的迭代,以及类似于 Hairer 和 Quastel(Forum Math Pi 6:e3, 2018)所开发的多尺度分解。我们的方法可以与最近开发的正则结构离散化框架相结合(Hairer 和 Matetski 在 Ann Probab 46(3):1651-1709, 2018,Erhard 和 Hairer 在 Ann Inst Henri Poincaré Probab Stat 55(4):2209-2248, 2019),证明相互作用粒子系统对奇异随机 PDE 的收敛性。arXiv:2303.10242)应用本文的结果证明了临界附近的三维 Ising-Kac 模型的重比例格劳伯动力学收敛于环上的\(\Phi ^4_3\)动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Martingale-driven integrals and singular SPDEs

We consider multiple stochastic integrals with respect to càdlàg martingales, which approximate a cylindrical Wiener process. We define a chaos expansion, analogous to the case of multiple Wiener stochastic integrals, for these integrals and use it to show moment bounds. Key tools include an iteration of the Burkholder–Davis–Gundy inequality and a multi-scale decomposition similar to the one developed in Hairer and Quastel (Forum Math Pi 6:e3, 2018). Our method can be combined with the recently developed discretisation framework for regularity structures (Hairer and Matetski in Ann Probab 46(3):1651–1709, 2018, Erhard and Hairer in Ann Inst Henri Poincaré Probab Stat 55(4):2209–2248, 2019) to prove convergence of interacting particle systems to singular stochastic PDEs. A companion article (Grazieschiet al. in The dynamical Ising–Kac model in 3D converges to \(\Phi ^4_3\), 2023. arXiv:2303.10242) applies the results of this paper to prove convergence of a rescaled Glauber dynamics for the three-dimensional Ising–Kac model near criticality to the \(\Phi ^4_3\) dynamics on a torus.

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来源期刊
Probability Theory and Related Fields
Probability Theory and Related Fields 数学-统计学与概率论
CiteScore
3.70
自引率
5.00%
发文量
71
审稿时长
6-12 weeks
期刊介绍: Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.
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