Unexpectedly, a symmetry on unlabeled graphs
Florian Fürnsinn, Moritz Gangl, Martin Rubey
TL;DR
The paper addresses the problem of finding a natural, nontrivial equidistribution of two graph parameters—tuft number $t(G)$ and sibling number $s(G)$—on unlabeled connected graphs with a fixed number of vertices. It develops a comprehensive, species-theoretic framework, introducing co-mating graphs, 3-sort graphs, tufts, and patches to decompose graphs and to track $s$ and $t$ through generating functions. The main result is that the joint distribution of $(s(G),t(G))$ is symmetric, extending a prior bijective result for base cases and providing a refined reduction theory that preserves symmetry across subfamilies of graphs. While a direct bijection remains open, the paper establishes strong structural and enumerative foundations, including confluence of reductions, preservation of induced cycles, and explicit molecular decompositions for key graph classes, which collectively pave the way toward a bijective proof. The work thus contributes a novel, general mechanism for equidistribution on unlabeled graphs and highlights the intricate interplay between graph structure and combinatorial species.
Abstract
We exhibit the joint symmetric distribution of the following two parameters on the set of unlabeled, simple, connected graphs with $n$ vertices. The first parameter is the maximal number of leaves attached to a vertex. The second parameter is the size of the largest set of vertices sharing the same closed neighborhood minus $1$. Apparently, this is the first example of a natural, non-trivial equidistribution of graph parameters on unlabeled connected graphs on a fixed set of vertices. Our proof is enumerative, using the theory of species. Exhibiting an explicit bijection interchanging the two parameters remains an open problem.
