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A random walk on the category of finite abelian $p$-groups
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abstract
We study an irreducible Markov chain on the category of finite abelian $p$-groups, whose stationary measure is the Cohen-Lenstra distribution. This Markov chain arises when one studies the cokernel of a random matrix $M$, after conditioning on a submatrix of $M$. We show two surprising facts about this Markov chain. Firstly, it is reversible. Hence, one may regard it is a random walk on finite abelian $p$-groups. The proof of reversibility also explains the appearance of the Cohen-Lenstra distribution in the context of random matrices. Secondly, we can explicitly determine the spectrum of the infinite transition matrix associated to this Markov chain.
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The rank evolution of block bidiagonal matrices over finite fields
For random block bidiagonal matrices over F_q, the corank undergoes a phase transition at k approximately q^{n/2}: near-zero, Cohen-Lenstra type, then Gaussian.
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