基于多指数的正则结构中代数重正化的自顶向下方法

IF 2.6 1区 数学 Q1 MATHEMATICS, APPLIED
Yvain Bruned, Pablo Linares
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引用次数: 0

摘要

我们为一大类半线性随机 PDE 提供了一个代数框架,用于描述基于多指数的正则性结构的重正则化。这个框架是 "自上而下 "的,即我们假设反期的形式,并利用重正化方程为其建立一个典型的平滑模型。构建的核心是对 Linares 等人(Commun Am Math Soc 3:1-64, 2023, https://doi.org/10.1090/cams/16)中的霍普夫求导代数的一般化,它被扩展到结构组之外,通过指数图来描述模型方程;这使我们能够在我们的上下文中实现类似于准备图方法的重正化过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Top-Down Approach to Algebraic Renormalization in Regularity Structures Based on Multi-indices

We provide an algebraic framework to describe renormalization in regularity structures based on multi-indices for a large class of semi-linear stochastic PDEs. This framework is “top-down”, in the sense that we postulate the form of the counterterm and use the renormalized equation to build a canonical smooth model for it. The core of the construction is a generalization of the Hopf algebra of derivations in Linares et al. (Commun Am Math Soc 3:1–64, 2023, https://doi.org/10.1090/cams/16), which is extended beyond the structure group to describe the model equation via an exponential map; this allow us to implement a renormalization procedure which resembles the preparation map approach in our context.

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来源期刊
CiteScore
5.10
自引率
8.00%
发文量
98
审稿时长
4-8 weeks
期刊介绍: The Archive for Rational Mechanics and Analysis nourishes the discipline of mechanics as a deductive, mathematical science in the classical tradition and promotes analysis, particularly in the context of application. Its purpose is to give rapid and full publication to research of exceptional moment, depth and permanence.
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