paper

Spectrum and local weak convergence of sparse random uniform hypergraphs

arXiv:2509.05102

Abstract

The notion of local weak convergence, or Benjamini--Schramm convergence, was introduced by Benjamini and Schramm. The local weak limit of sparse Erd\H os--Rényi graphs is the Galton--Watson measure with Poisson offspring almost surely. Recently, Adhikari, Kumar, and Saha showed that the line graph of sparse Linial--Meshulam complexes converges to the -block Galton--Watson measure. We study a unified model: weighted line graphs of sparse -uniform random hypergraphs on vertices. Let be the -uniform random hypergraph where each -subset of is included as a hyperedge independently with probability . For a -uniform hypergraph and , define the -set weighted line graph by with weight . In particular, generalizes Erd\H os--Rényi graphs and is the line graph of the Linial--Meshulam complex. We show that if as , then converges locally to the -block Galton--Watson measure with offspring almost surely. As a consequence, we obtain the limiting spectral distribution of the adjacency matrices of .

44 pages

Spectrum and local weak convergence of sparse random uniform hypergraphs · wovepaper