English

Simplicial and Cellular Trees

Combinatorics 2015-06-24 v1

Abstract

Much information about a graph can be obtained by studying its spanning trees. On the other hand, a graph can be regarded as a 1-dimensional cell complex, raising the question of developing a theory of trees in higher dimension. As observed first by Bolker, Kalai and Adin, and more recently by numerous authors, the fundamental topological properties of a tree --- namely acyclicity and connectedness --- can be generalized to arbitrary dimension as the vanishing of certain cellular homology groups. This point of view is consistent with the matroid-theoretic approach to graphs, and yields higher-dimensional analogues of classical enumerative results including Cayley's formula and the matrix-tree theorem. A subtlety of the higher-dimensional case is that enumeration must account for the possibility of torsion homology in trees, which is always trivial for graphs. Cellular trees are the starting point for further high-dimensional extensions of concepts from algebraic graph theory including the critical group, cut and flow spaces, and discrete dynamical systems such as the abelian sandpile model.

Keywords

Cite

@article{arxiv.1506.06819,
  title  = {Simplicial and Cellular Trees},
  author = {Art M. Duval and Caroline J. Klivans and Jeremy L. Martin},
  journal= {arXiv preprint arXiv:1506.06819},
  year   = {2015}
}

Comments

39 pages (including 5-page bibliography); 5 figures. Chapter for forthcoming IMA volume "Recent Trends in Combinatorics"

R2 v1 2026-06-22T09:58:15.650Z