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Connectivity versus Lin-Lu-Yau curvature

Kaizhe Chen, Shiping Liu, Zhe You

TL;DR

This work investigates the relationship between graph connectivity and Lin-Lu-Yau curvature, introducing curvature-based lower bounds on connectivity and identifying conditions under which curvature dictates edge-connectivity. It proves a key bound $k(G)\ge \delta(G)\kappa_{LLY}^{(2)}(G)$ and shows that positive curvature on edges implies $k'(G)=\delta(G)$, while large connectivity enforces positive curvature in a quantified way. The results are shown to be sharp via constructions such as deletions of matchings from complete graphs and Cartesian-type joins, with extensions to amply regular graphs yielding explicit lower bounds for both connectivity and edge-connectivity. Applications to amply regular graphs demonstrate practical bounds, and the work also discusses implications for infinite locally finite graphs. Overall, the paper deepens the link between discrete Ricci-type curvature and classical connectivity measures, providing tools for both theoretical and applied graph analysis.

Abstract

We explore the interaction between connectivity and Lin-Lu-Yau curvature of graphs systematically. The intuition is that connected graphs with large Lin-Lu-Yau curvature also have large connectivity, and vice versa. We prove that the connectivity of a connected graph is lower bounded by the product of its minimum degree and its Lin-Lu-Yau curvature. On the other hand, if the connectivity of a graph $G$ on $n$ vertices is at least $\frac{n-1}{2}$, then $G$ has positive Lin-Lu-Yau curvature. Moreover, the bound $\frac{n-1}{2}$ here is optimal. Furthermore, we prove that the edge-connectivity is equal to the minimum vertex degree for any connected graph with positive Lin-Lu-Yau curvature. As applications, we estimate or determine the connectivity and edge-connectivity of an amply regular graph with parameters $(d,α,β)$ such that $1\neq β\geq α$.

Connectivity versus Lin-Lu-Yau curvature

TL;DR

This work investigates the relationship between graph connectivity and Lin-Lu-Yau curvature, introducing curvature-based lower bounds on connectivity and identifying conditions under which curvature dictates edge-connectivity. It proves a key bound and shows that positive curvature on edges implies , while large connectivity enforces positive curvature in a quantified way. The results are shown to be sharp via constructions such as deletions of matchings from complete graphs and Cartesian-type joins, with extensions to amply regular graphs yielding explicit lower bounds for both connectivity and edge-connectivity. Applications to amply regular graphs demonstrate practical bounds, and the work also discusses implications for infinite locally finite graphs. Overall, the paper deepens the link between discrete Ricci-type curvature and classical connectivity measures, providing tools for both theoretical and applied graph analysis.

Abstract

We explore the interaction between connectivity and Lin-Lu-Yau curvature of graphs systematically. The intuition is that connected graphs with large Lin-Lu-Yau curvature also have large connectivity, and vice versa. We prove that the connectivity of a connected graph is lower bounded by the product of its minimum degree and its Lin-Lu-Yau curvature. On the other hand, if the connectivity of a graph on vertices is at least , then has positive Lin-Lu-Yau curvature. Moreover, the bound here is optimal. Furthermore, we prove that the edge-connectivity is equal to the minimum vertex degree for any connected graph with positive Lin-Lu-Yau curvature. As applications, we estimate or determine the connectivity and edge-connectivity of an amply regular graph with parameters such that .

Paper Structure

This paper contains 8 sections, 17 theorems, 103 equations, 1 figure.

Key Result

Theorem 1.1

Let $G$ be a non-complete connected graph with minimum degree $\delta(G)$ and connectivity $k(G)$. Then

Figures (1)

  • Figure 1: Two graphs labeled with the Lin-Lu-Yau curvature of each edge.

Theorems & Definitions (40)

  • Theorem 1.1
  • Example 1.2: The join of two copies of $K_n$ with a third graph
  • Theorem 1.3
  • Corollary 1.4
  • Theorem 1.5
  • Corollary 1.6
  • Theorem 1.7
  • Theorem 1.8
  • Definition 2.1: Wasserstein distance
  • Definition 2.2: $p$-Ollivier curvature and Lin--Lu--Yau curvature
  • ...and 30 more