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arXiv 2103.14014math.CO
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随机图的色数如何变化?

How does the chromatic number of a random graph vary?

Annika Heckel, Oliver Riordan

AI总结:

本文研究 Erdős–Rényi 随机图 $G_{n,1/2}$ 色数的波动宽度,给出接近 $\sqrt n$ 的无条件下界及条件下更强下界,并提出匹配常数因子和高斯极限的猜想。

摘要:

从所有具有 $n$ 个顶点的图中均匀随机选取一个图,其色数的表现如何?这个量是一个随机变量,因此人们可以问:(i) 其典型取值的上界和下界;以及 (ii) 它变化程度的界:其分布的宽度(例如标准差)是多少?在问题 (i) 上,过去 45 年已取得相当大的进展;而在我们这里关注的问题 (ii) 上,进展却出奇地少。人们希望得到分布宽度的上界和下界,理想情况下还希望描述经过适当缩放后的极限分布。Shamir 和 Spencer 给出了一个著名的、阶为 $\sqrt{n}$ 的上界,Alon 将其略微改进为 $\sqrt{n}/\log n$;但在 2019 年之前,人们并不知道任何非平凡下界。2019 年,第一作者证明了对无穷多个 $n$,该宽度至少为 $n^{1/4-o(1)}$,回答了 Bollobás 的一个长期悬而未决的问题。本文有两个主要目标:首先,我们将证明一个强得多的宽度下界。我们将无条件地证明,对于某些 $n$ 值,宽度至少为 $n^{1/2-o(1)}$,在误差项范围内与上界相匹配。此外,在最近公布的一项关于色数的更精确显式估计成立的条件下,我们将下界改进到 $\sqrt{n} \log \log n /\log^3 n$ 这一阶,与上界仅相差一个对数因子。其次,我们将描述若干关于 $\chi(G_{n,1/2})$ 变化的真实行为及其原因的猜想。这一猜想的第一种形式来自 Bollobás、Heckel、Morris、Panagiotou、Riordan 和 Smith 最近的工作。我们还将给出细致得多的猜想,表明在最坏情形的 $n$ 下,真实宽度与我们的下界在常数因子范围内相匹配。这些猜想还预测存在高斯极限分布。

英文摘要:

How does the chromatic number of a graph chosen uniformly at random from all graphs on $n$ vertices behave? This quantity is a random variable, so one can ask (i) for upper and lower bounds on its typical values, and (ii) for bounds on how much it varies: what is the width (e.g., standard deviation) of its distribution? On (i) there has been considerable progress over the last 45 years; on (ii), which is our focus here, remarkably little. One would like both upper and lower bounds on the width of the distribution, and ideally a description of the (appropriately scaled) limiting distribution. There is a well known upper bound of Shamir and Spencer of order $\sqrt{n}$, improved slightly by Alon to $\sqrt{n}/\log n$, but no non-trivial lower bound was known until 2019, when the first author proved that the width is at least $n^{1/4-o(1)}$ for infinitely many $n$, answering a longstanding question of Bollobás. In this paper we have two main aims: first, we shall prove a much stronger lower bound on the width. We shall show unconditionally that, for some values of $n$, the width is at least $n^{1/2-o(1)}$, matching the upper bounds up to the error term. Moreover, conditional on a recently announced sharper explicit estimate for the chromatic number, we improve the lower bound to order $\sqrt{n} \log \log n /\log^3 n$, within a logarithmic factor of the upper bound. Secondly, we will describe a number of conjectures as to what the true behaviour of the variation in $χ(G_{n,1/2})$ is, and why. The first form of this conjecture arises from recent work of Bollobás, Heckel, Morris, Panagiotou, Riordan and Smith. We will also give much more detailed conjectures, suggesting that the true width, for the worst case $n$, matches our lower bound up to a constant factor. These conjectures also predict a Gaussian limiting distribution.

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。

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