English

Maximum flow and self-avoiding walk on bunkbed graphs

Probability 2025-02-11 v1 Combinatorics

Abstract

We consider two combinatorial models on bunkbed graphs: maximum flow and self-avoiding walks. A bunkbed graph is defined as the Cartesian product G×K2G\times K_2, where GG is a finite graph and K2K_2 is the complete graph on two vertices, labelled 00 and 11. For the maximum flow problem, we show that if the bunkbed graph G×K2G\times K_2 has non-negative, reflection-symmetric edge capacities, then for any u,vV(G)u, v\in V(G), the maximum flow strength from (u,0)(u,0) to (v,0)(v,0) in G×K2G\times K_2 is at least as large as that from (u,0)(u,0) to (v,1)(v,1). For the self-avoiding walk model on a bunkbed graph G×K2G\times K_2, we investigate whether there are more self-avoiding walks from (u,0)(u,0) to (v,1)(v,1) than from (u,0)(u,0) to (v,0)(v,0). We prove that this holds when G=KnG=K_n is a complete graph and nn is sufficiently large. Additionally, we provide examples where the statement does not holds and pose the question of whether it remains true when {u,v}\{u,v\} is not a cut-edge of GG.

Keywords

Cite

@article{arxiv.2502.06237,
  title  = {Maximum flow and self-avoiding walk on bunkbed graphs},
  author = {Pengfei Tang},
  journal= {arXiv preprint arXiv:2502.06237},
  year   = {2025}
}
R2 v1 2026-06-28T21:38:14.340Z