Tight bounds on adjacency labels for monotone graph classes
Abstract
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 2O(n n) and 2O(n2-δ) for any δ > 0. Specifically, we show that for any function f: N R satisfying n ≤slant f(n) ≤slant n1-δ for any fixed δ > 0, and some~sub-multiplicativity condition, there are monotone graph classes with growth 2O(nf(n)) that do not admit adjacency labels of size at most f(n) n. On the other hand, any such class does admit adjacency labels of size O(f(n) n). Surprisingly this tight bound is a ( n) factor away from the information-theoretic bound of (f(n)). The special case when f = 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 small classes. In other words, any monotone class with growth rate at most n!\,cn 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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