Characteristic Polynomials and Hypergraph Generating Functions via Heaps of Pieces
Joshua Cooper, Krystal Guo, Utku Okur
TL;DR
This work extends Jacobi's classical relation between closed walks and the graph's characteristic polynomials to hypergraphs by leveraging Viennot's Heaps of Pieces. It develops a comprehensive framework in which infragraphs serve as the fundamental pieces, and cycles plus edgegons (or infragraphs) form the building blocks whose concatenations (pyramids) encode the combinatorics of walks and coefficients. Central results express normalized characteristic polynomials and their logarithms as sums over trivial heaps and pyramids, yielding Harary–Sachs-type formulas for hypergraphs, including root and edge-variable variants. The approach unifies counting of infragraph embeddings, rootings, and arborescences via Kocay's lemma and BEST-type theorems, with multiplicativity under disjoint unions enabling practical computations and paving the way for hypergraph spectral theory extensions.
Abstract
It is a classical result due to Jacobi in algebraic combinatorics that the generating function of closed walks at a vertex $u$ in a graph $G$ is determined by the rational function \[ \frac{φ_{G-u}(t)}{φ_G(t)} \] where $φ_G(t)$ is the characteristic polynomial of $G$. In this paper, we show that the corresponding rational function for a hypergraph is also a generating function for some combinatorial objects in the hypergraph. We make use of the Heaps of Pieces framework, developed by Viennot, demonstrating its use on graphs, digraphs, and multigraphs before using it on hypergraphs. In the case of a graph $G$, the pieces are cycles and the concurrence relation is sharing a vertex. The pyramids with maximal piece containing a vertex $u \in V(G)$ are in one-to-one correspondence with closed walks at $u$. In the case of a hypergraph $\mathcal{H}$, connected "infragraphs" can be defined as the set of pieces, with the same concurrence relation: sharing a vertex. Our main results are established by analyzing multivariate resultants of polynomial systems associated to adjacency hypermatrices.
