Loose Laplacian spectra of random hypergraphs

preprint2011arXivOpen access

Abstract

Let H=(V,E)H=(V,E) be an rr-uniform hypergraph with the vertex set VV and the edge set EE. For 1≤s≤r/21\leq s \leq r/2, we define a weighted graph G(s)G^{(s)} on the vertex set (Vs){V\choose s} as follows. Every pair of ss-sets II and JJ is associated with a weight w(I,J)w(I,J), which is the number of edges in HH passing through II and JJ if I∩J=∅I\cap J=\emptyset, and 0 if I∩J≠∅I\cap J\not=\emptyset. The ss-th Laplacian Ł(s)Ł^{(s)} of HH is defined to be the normalized Laplacian of G(s)G^{(s)}. The eigenvalues of L(s)\mathcal L^{(s)} are listed as λ0(s),λ1(s),...,λ(ns)−1(s)λ^{(s)}_0, λ^{(s)}_1,..., λ^{(s)}_{{n\choose s}-1} in non-decreasing order. Let λˉ(s)(H)=max⁡i≠0{∣1−λi(s)∣}\barλ^{(s)}(H)=\max_{i\not=0}\{|1-λ^{(s)}_i|\}. The parameters λˉ(s)(H)\barλ^{(s)}(H) and λ1(s)(H)λ^{(s)}_1(H), which were introduced in our previous paper, have a number of connections to the mixing rate of high-ordered random walks, the generalized distances/diameters, and the edge expansions. For 0<p<10< p<1, let Hr(n,p)H^r(n,p) be a random rr-uniform hypergraph over [n]:=1,2,...,n[n]:={1,2,..., n}, where each rr-set of [n][n] has probability pp to be an edge independently. For 1≤s≤r/21 \leq s \leq r/2, p(1−p)≫log⁡4nnr−sp(1-p)\gg \frac{\log^4 n}{n^{r-s}}, and 1−p≫log⁡nn21-p\gg \frac{\log n}{n^2}, we prove that almost surely λˉ(s)(Hr(n,p))≤sn−s+(3+o(1))1−p(n−sr−s)p.\barλ^{(s)}(H^r(n,p))\leq \frac{s}{n-s}+ (3+o(1))\sqrt{\frac{1-p}{{n-s\choose r-s}p}}. We also prove that the empirical distribution of the eigenvalues of Ł(s)Ł^{(s)} for Hr(n,p)H^r(n,p) follows the Semicircle Law if p(1−p)≫log⁡1/3nnr−sp(1-p)\gg \frac{\log^{1/3} n}{n^{r-s}} and 1−p≫log⁡nn2+2r−2s1-p\gg \frac{\log n}{n^{2+2r-2s}}.

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