English

On the enumeration of connected sets in finite cylindrical lattice graphs

Combinatorics 2025-11-11 v2

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,nm,n, let N(Pm×Pn)N(P_m\times P_n) and N(Cm×Pn)N(C_m\times P_n) denote the number of all connected sets in the (m×n)(m\times n)-lattice graph Pm×PnP_m\times P_n and (m×n)(m\times n)-cylindrical lattice graph Cm×PnC_m\times P_n , respectively. In 2020, Vince derived enumeration formulas for N(Pm×P2)N(P_m\times P_2) and N(Cm×P2)N(C_m\times P_2), 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)N(P_m\times P_n) with m4m\le 4. In this article, we apply a similar approach to derive the enumeration formula for N(Cm×Pn)N(C_m\times P_n) with m7m\le 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×PnG\times P_n for any connected graph GG, 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))=1.66943nO(N(P_3\times P_n))=1.6694^{3n}, O(N(C4×Pn))=1.80144nO(N(C_4\times P_n))=1.8014^{4n}, and O(N(C5×Pn))=1.78775nO(N(C_5\times P_n))=1.7877^{5n}.

Keywords

Cite

@article{arxiv.2511.01319,
  title  = {On the enumeration of connected sets in finite cylindrical lattice graphs},
  author = {Hongxia Ma and Xian'an Jin and Meiqiao Zhang},
  journal= {arXiv preprint arXiv:2511.01319},
  year   = {2025}
}