Structure and Randomness in Combinatorics

T. Tao
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引用次数: 48

Abstract

Combinatorics, like computer science, often has to deal with large objects of unspecified (or unusable) structure. One powerful way to deal with such an arbitrary object is to decompose it into more usable components. In particular, it has proven profitable to decompose such objects into a structured component, a pseudo-random component, and a small component (i.e. an error term): in many cases it is the structured component which then dominates. We illustrate this philosophy in a number of model cases.
组合学中的结构与随机性
与计算机科学一样,组合学经常需要处理结构不明(或不可用)的大型对象。处理这种任意对象的一种强大方法是将其分解为更可用的组件。特别是,将这些对象分解为结构化组件、伪随机组件和小组件(即错误项)已被证明是有益的:在许多情况下,结构化组件占主导地位。我们在一些模型案例中说明了这一理念。
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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