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--R\'enyi 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 $d$-block Galton--Watson measure. We study a unified model: weighted line graphs of sparse $k$-uniform random hypergraphs on $n$ vertices. Let $H(n,k,p)$ be the $k$-uniform random hypergraph where each $k$-subset of $[n]$ is included as a hyperedge independently with probability $p$. For a $k$-uniform hypergraph $H=(V,E)$ and $1\le r\le k-1$, define the $r$-set weighted line graph $G_r(H)=(\mathcal V_r,\mathcal E_r,w_H)$ by $$ \mathcal V_r=\bigl[\tbinom{ n}{ r}\bigr],\quad \mathcal E_r=\bigl\{ \{ \tau_1,\tau_2\}:\tau_1,\tau_2\in\mathcal V_r,\ \exists e\in E\text{ s.t. }\tau_1,\tau_2\subset e\bigr\}, $$ with weight $w_H(\{ \tau_1,\tau_2\})=\bigl|\{ e\in E:\tau_1,\tau_2\subset e\}\bigr|$. In particular, $G_1(H_n)$ generalizes Erd\H os--R\'enyi graphs and $G_{ k-1}(H_n)$ is the line graph of the Linial--Meshulam complex. We show that if $\tbinom{ n-r}{ k-r}\to \lambda$ as $n\to\infty$, then $G_r(H_n)$ converges locally to the $(\tbinom{ k}{ r}-1)$-block Galton--Watson measure with $\operatorname{ Poisson}(\lambda)$ offspring almost surely. As a consequence, we obtain the limiting spectral distribution of the adjacency matrices of $G_r(H_n)$.
Categories: math.CO math.PR