arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0707.4269math.CO
收藏

组合学中的结构与随机性

Structure and randomness in combinatorics

Terence Tao

摘要:

组合数学,像计算机科学一样,经常需要处理未指定(或不可用)结构的大型对象。处理这样一个任意对象的一种有效方法是将其分解为更多可用的组件。特别地,已经证明将这样的对象分解成\emph{structured}分量、\emph{pseudo-random}分量和\emph{small}分量(即误差项)是有益的;在许多情况下,结构化分量然后占主导地位。我们在一些典型案例中说明了这一理念。

英文摘要:

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 \emph{structured} component, a \emph{pseudo-random} component, and a \emph{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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑