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Coarse Ricci curvature of hypergraphs and its generalization

MasaHiro Ikeda, Yu Kitabeppu, Yuuki Takai, Takato Uehara

TL;DR

The paper introduces a coarse Ricci curvature for finite hypergraphs defined via a nonlinear Kantorovich difference tied to the resolvent of a submodular hypergraph Laplacian. This curvature extends Lin-Lu-Yau’s graph curvature to hypergraphs and yields concrete analytic and geometric consequences, including eigenvalue bounds, gradient estimates for the heat flow, and Bonnet-Myers-type diameter bounds, highlighting how nonlinearity influences curvature. Existence of the curvature is established through a combination of piecewise-linear and linear-programming arguments, and the framework naturally extends to submodular transformations beyond hypergraphs. The authors also verify consistency with the classical LL-Y curvature on graphs and provide worked examples illustrating both positive and negative curvature regimes. The work lays a foundation for applying synthetic curvature concepts to nonlinear discrete structures and broad submodular models.

Abstract

In the present paper, we introduce a concept of Ricci curvature on hypergraphs for a nonlinear Laplacian. We prove that our definition of the Ricci curvature is a generalization of Lin-Lu-Yau coarse Ricci curvature for graphs to hypergraphs. We also show a lower bound of nonzero eigenvalues of Laplacian, gradient estimate of heat flow, and diameter bound of Bonnet-Myers type for our curvature notion. This research leads to understanding how nonlinearity of Laplacian causes complexity of curvatures.

Coarse Ricci curvature of hypergraphs and its generalization

TL;DR

The paper introduces a coarse Ricci curvature for finite hypergraphs defined via a nonlinear Kantorovich difference tied to the resolvent of a submodular hypergraph Laplacian. This curvature extends Lin-Lu-Yau’s graph curvature to hypergraphs and yields concrete analytic and geometric consequences, including eigenvalue bounds, gradient estimates for the heat flow, and Bonnet-Myers-type diameter bounds, highlighting how nonlinearity influences curvature. Existence of the curvature is established through a combination of piecewise-linear and linear-programming arguments, and the framework naturally extends to submodular transformations beyond hypergraphs. The authors also verify consistency with the classical LL-Y curvature on graphs and provide worked examples illustrating both positive and negative curvature regimes. The work lays a foundation for applying synthetic curvature concepts to nonlinear discrete structures and broad submodular models.

Abstract

In the present paper, we introduce a concept of Ricci curvature on hypergraphs for a nonlinear Laplacian. We prove that our definition of the Ricci curvature is a generalization of Lin-Lu-Yau coarse Ricci curvature for graphs to hypergraphs. We also show a lower bound of nonzero eigenvalues of Laplacian, gradient estimate of heat flow, and diameter bound of Bonnet-Myers type for our curvature notion. This research leads to understanding how nonlinearity of Laplacian causes complexity of curvatures.

Paper Structure

This paper contains 24 sections, 24 theorems, 103 equations.

Key Result

Lemma 2.1

Let $f\in \mathbb{R}^V$ and $c\in \mathbb{R}$. Then the following identities hold:

Theorems & Definitions (41)

  • Lemma 2.1
  • Lemma 2.2
  • Lemma 2.3
  • Proposition 2.4: Kantorovich-Rubinstein duality
  • Definition 3.1: $\lambda$-nonlinear Kantorovich difference
  • Remark 3.2
  • Remark 3.3
  • Proposition 3.4
  • Lemma 3.5
  • Proposition 3.6
  • ...and 31 more