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Sunday, June 26, 2022

Sandpile groups of random graphs: 2. Erdős–Rényi model

First, let's consider the following question:

Question. What is the distribution of the number N_{\Gamma} of the spanning trees of a random graph \Gamma?

Of course, we need to make sense of what "random" means in the above question. One way to generate random graphs is to use the Erdős–Rényi model. That is, given n \in \mathbb{Z}_{\geq 2} and a real number 0 < q < 1, we first fix n vertices and choose a graph with these vertices at random by requiring that for each pair of vertices, the probability that the two chosen vertices are connected by an edge is q. We write G(n, q) to mean the set of all graphs with n vertices without self-loops and double edges with the probability measure given by the Erdős–Rényi model. We note that G(n, q) is a finite set of graphs, each of which has the n given vertices with

  • no self-loops;
  • no double edges;
  • and M edges (0 \leq M \leq {n \choose 2}),

and each graph in G(n, q) with M edges occurs with the probability q^{M}(1 - q)^{{n \choose 2} - M}. Hence, the probability that the number of edges of an Erdős–Rényi random graph is equal to M is {{n \choose 2} \choose M}q^{M}(1 - q)^{{n \choose 2} - M}. That is, the distribution of the number of edges of a random \Gamma \in G(n, q) follows the binomial distribution with parameters q and {n \choose 2}. In particular, the average number of the edges in a graph randomly chosen in G(n, q) is {n \choose 2}q.

Cayley's formula says that the total number of spanning trees on given n vertices is n^{n-2}, and the probability that each spanning tree occurs in a random graph in G(n, q) is q^{n-1}. Hence, given 0 \leq m \leq n^{n-2}, we have \underset{\Gamma \in G(n, q)}{\mathrm{Prob}}(N_{\Gamma} = m) = {n^{n-2} \choose m} (q^{n-1})^{m}(1 - q^{n-1})^{n^{n-2} - m}. That is, the number N_{\Gamma} of a random graph \Gamma \in G(n, q) follows the binomial distribution with parameters q and n^{n-2}. In particular, the average number of spanning trees of \Gamma is n^{n-2}q^{n-1}.

Now, we know completely what the distribution of the number of spanning trees of \Gamma randomly chosen from G(n, q). In the last posting, we discussed how Kirchhoff's theorem tells us that the number N_{\Gamma} of spanning trees of a graph \Gamma is the product of the non-negative invariant factors of its sandpile group S_{\Gamma}.

Question. What is the distribution of the sandpile group S_{\Gamma} of \Gamma randomly chosen in G(n, q)?

It turns out from a paper of Wood (Corollary 9.3) that for any finite abelian group A, we have \lim_{n \rightarrow \infty}\underset{\Gamma \in G(n, q)}{\mathrm{Prob}}(S_{\Gamma} \simeq A) = 0. We already know that the expected number n^{n-2}q^{n-1} = \frac{(nq)^{n-1}}{n} of N_{\Gamma} is large (which is in particular nonzero) when n is large, so we expect S_{\Gamma} to be a finite group. More precisely, we have \underset{\Gamma \in G(n, q)}{\mathrm{Prob}}(S_{\Gamma} \text{ is infinite}) = \underset{\Gamma \in G(n, q)}{\mathrm{Prob}}(N_{\Gamma} = 0) = (1 - q^{n-1})^{n^{n-2}}. If 0 < q < 1 is fixed, then this implies that \lim_{n \rightarrow \infty}\underset{\Gamma \in G(n, q)}{\mathrm{Prob}}(S_{\Gamma} \text{ is infinite}) = 0. Hence, the fact that the probability that S_{\Gamma} is isomorphic to a specific finite abelian group is small for large n has to do with that the events we are considering are too fine.

Remark. This is a strange phenomenon. Heuristically, one may say that there are too many candidates for S_{\Gamma} when we take a random \Gamma \in G(n, q), which makes it less likely if we try to specify the isomorphism class of S_{\Gamma}, but there are other similar instances, where we choose from many finitely abelian groups but the probability does not converge to 0. For example, see this paper of Nguyen and Wood (Theorem 1.1 with u = 1).

It also turns out that given a prime p, the p-part S_{\Gamma}[p^{\infty}] of the sanpile group of a random graph \Gamma \in G(n, q) has a nontrivial distribution. The following theorem is from a paper of Wood (Theorem 1.1):

Theorem (Wood). Let p be a prime and G a finite abelian p-group so that G \simeq \mathbb{Z}/p^{\lambda_{1}}\mathbb{Z} \times \mathbb{Z}/p^{\lambda_{2}}\mathbb{Z} \times \cdots \mathbb{Z}/p^{\lambda_{l}}\mathbb{Z} with \lambda_{1} \geq \lambda_{2} \geq \cdots \geq \lambda_{l} \geq 0. Let (\mu_{1}, \mu_{2}, \dots) be the transpose of the partition (\lambda_{1}, \lambda_{2}, \dots, \lambda_{l}). Then \begin{align*}\lim_{n \rightarrow \infty} & \underset{\Gamma \in G(n, q)}{\mathrm{Prob}}(S_{\Gamma}[p^{\infty}] \simeq G) \\ &= \frac{p^{-\sum_{r \geq 1} \mu_{r}(\mu_{r}+1)/2}\prod_{i=1}^{\lambda_{1}}\prod_{j=1}^{\lfloor (\mu_{i} - \mu_{i+1})/2 \rfloor} (1 - p^{-2j})^{-1}}{|G||\mathrm{Aut}(G)|}\prod_{k \geq 0} (1 - p^{-2k-1}).\end{align*}

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