On a Cohen-Lenstra Heuristic for Jacobians of Random Graphs
Julien Clancy, Nathan Kaplan, Timothy Leake, Sam Payne, Melanie Matchett Wood
TL;DR
This work extends the Cohen–Lenstra heuristic to Jacobians of random graphs by incorporating a canonical duality pairing, predicting a distribution on finite abelian p-groups with pairing that is inversely proportional to |Γ|·|Aut(Γ,δ)| up to a universal p-adic factor. It proves corresponding cokernel distributions for Haar-random symmetric matrices over Z_p and generalizes to Laplacian-like zero-sum matrices, then computes exact averages and moments for various statistics. Theoretical predictions are supported by substantial empirical data showing the Jacobian is cyclic with probability about 0.7935 and that p-parts behave independently across primes, with observed pairings matching the classified types. The results unify random graph Jacobians with p-adic random matrix theory and offer precise asymptotics for several natural statistics.
Abstract
In this paper, we make specific conjectures about the distribution of Jacobians of random graphs with their canonical duality pairings. Our conjectures are based on a Cohen-Lenstra type heuristic saying that a finite abelian group with duality pairing appears with frequency inversely proportional to the size of the group times the size of the group of automorphisms that preserve the pairing. We conjecture that the Jacobian of a random graph is cyclic with probability a little over .7935. We determine the values of several other statistics on Jacobians of random graphs that would follow from our conjectures. In support of the conjectures, we prove that random symmetric matrices over the p-adic integers, distributed according to Haar measure, have cokernels distributed according to the above heuristic. We also give experimental evidence in support of our conjectures.
