On the enumeration of connected sets in finite cylindrical lattice graphs

Abstract

A connected set in a graph is a non-empty set of vertices that induces a connected subgraph. In an infinite lattice, a connected set is often referred to as a lattice animal, whose enumeration up to isomorphism is a classical problem in both combinatorics and statistical physics. In this paper, we focus on the enumeration of connected sets in finite lattice graphs, providing a link between combinatorial counting and structural connectivity in the system. For any positive integers m,n, let N(Pm× Pn) and N(Cm× Pn) denote the number of all connected sets in the (m× n)-lattice graph Pm× Pn and (m× n)-cylindrical lattice graph Cm× Pn , respectively. In 2020, Vince derived enumeration formulas for N(Pm× P2) and N(Cm× P2), and highlighted the increasing difficulty of extending these calculation results to larger (cylindrical) lattice graphs. Recently, the authors of this paper have developed a method based on multi-step recurrence formulas to obtain the enumeration formula for N(Pm× Pn) with m 4. In this article, we apply a similar approach to derive the enumeration formula for N(Cm× Pn) with m 7. Further, for the general case, we establish an explicit and tight lower bound on the number of connected sets in the Cartesian product graph G× Pn for any connected graph G, by employing the transfer matrix method on a subclass of connected sets. Based on this, we perform an asymptotic analysis on several lattice graphs and show that O(N(P3× Pn))=1.66943n, O(N(C4× Pn))=1.80144n, and O(N(C5× Pn))=1.78775n.

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…