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arXiv 2310.20522math.COcs.DMcs.DS
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单调图类邻接标记的紧致界

Tight bounds on adjacency labels for monotone graph classes

Édouard Bonnet, Julien Duron, John Sylvester, Viktor Zamaraev, Maksim Zhukovskii

AI总结:

本文研究了单调图类的邻接标记大小,给出了紧致界,并证明隐式图猜想在单调小类中成立,而在一般单调类中不成立。

摘要:

如果一个图类允许大小为 $b(n)$ 的邻接标记方案,那么其每个 $n$ 顶点图的顶点都可以被分配长度为 $b(n)$ 的二进制串(称为标记),使得两个顶点的邻接关系可以仅由它们的标记确定。对于每个在 $2^{O(n \log n)}$ 和 $2^{O(n^{2-δ})}$(对于任意 $δ> 0$)之间具有良好增长函数的单调(即子图封闭)图类族,我们给出了其邻接标记大小的紧致界。具体而言,我们证明对于满足 $\log n \leqslant f(n) \leqslant n^{1-δ}$(对于任意固定 $δ> 0$)及某次可乘性条件的任意函数 $f: \mathbb N \to \mathbb R$,存在增长率为 $2^{O(nf(n))}$ 的单调图类,其不允许大小至多为 $f(n) \log n$ 的邻接标记。另一方面,任何此类图类确实允许大小为 $O(f(n)\log n)$ 的邻接标记。令人惊讶的是,该紧致界与 $Ω(f(n))$ 的信息论下界相差一个 $Θ(\log n)$ 的因子。$f = \log$ 的特例意味着最近被反驳的隐式图猜想 [Hatami and Hatami, FOCS 2022] 在单调图类中也同样不成立。我们进一步证明,隐式图猜想对所有单调的小类成立。换言之,任何增长率至多为 $n!\\,c^n$(对于某常数 $c>0$)的单调图类,都允许具有信息论上最优大小的邻接标记。事实上,我们展示了一个具有独立意义且更一般的结果:任何单调的小图类都具有有界退化度。我们猜想隐式图猜想对所有遗传的小类均成立。

英文摘要:

A class of graphs admits an adjacency labeling scheme of size $b(n)$, if the vertices in each of its $n$-vertex graphs can be assigned binary strings (called labels) of length $b(n)$ so that the adjacency of two vertices can be determined solely from their labels. We give tight bounds on the size of adjacency labels for every family of monotone (i.e., subgraph-closed) classes with a well-behaved growth function between $2^{O(n \log n)}$ and $2^{O(n^{2-δ})}$ for any $δ> 0$. Specifically, we show that for any function $f: \mathbb N \to \mathbb R$ satisfying $\log n \leqslant f(n) \leqslant n^{1-δ}$ for any fixed $δ> 0$, and some~sub-multiplicativity condition, there are monotone graph classes with growth $2^{O(nf(n))}$ that do not admit adjacency labels of size at most $f(n) \log n$. On the other hand, any such class does admit adjacency labels of size $O(f(n)\log n)$. Surprisingly this tight bound is a $Θ(\log n)$ factor away from the information-theoretic bound of $Ω(f(n))$. The special case when $f = \log$ implies that the recently-refuted Implicit Graph Conjecture [Hatami and Hatami, FOCS 2022] also fails within monotone classes. We further show that the Implicit Graph Conjecture holds for all monotone \emph{small} classes. In other words, any monotone class with growth rate at most $n!\,c^n$ for some constant $c>0$, admits adjacency labels of information-theoretic order optimal size. In fact, we show a more general result that is of independent interest: any monotone small class of graphs has bounded degeneracy.We conjecture that the Implicit Graph Conjecture holds for all hereditary small classes.

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