【2h】

Entropy and convexity for nonlinear partial differential equations

机译:非线性偏微分方程的熵与凸性。

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摘要

Partial differential equations are ubiquitous in almost all applications of mathematics, where they provide a natural mathematical description of many phenomena involving change in physical, chemical, biological and social processes. The concept of entropy originated in thermodynamics and statistical physics during the nineteenth century to describe the heat exchanges that occur in the thermal processes in a thermodynamic system, while the original notion of convexity is for sets and functions in mathematics. Since then, entropy and convexity have become two of the most important concepts in mathematics. In particular, nonlinear methods via entropy and convexity have been playing an increasingly important role in the analysis of nonlinear partial differential equations in recent decades. This opening article of the Theme Issue is intended to provide an introduction to entropy, convexity and related nonlinear methods for the analysis of nonlinear partial differential equations. We also provide a brief discussion about the content and contributions of the papers that make up this Theme Issue.
机译:偏微分方程在几乎所有的数学应用中都是普遍存在的,它们为包括物理,化学,生物学和社会过程变化在内的许多现象提供了自然的数学描述。熵的概念起源于19世纪的热力学和统计物理学,用于描述热力学系统在热过程中发生的热交换,而凸性的原始概念是用于数学中的集合和函数的。从那时起,熵和凸度已成为数学中两个最重要的概念。特别地,近几十年来,通过熵和凸性的非线性方法在非线性偏微分方程的分析中起着越来越重要的作用。本主题的开篇文章旨在介绍用于分析非线性偏微分方程的熵,凸性和相关的非线性方法。我们还将简要讨论构成此主题的论文的内容和贡献。

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