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Rowmotion Markov chains

Rowmotion is a certain well-studied bijective operator on the distributive lattice J(P) of order ideals of a finite poset P. We introduce the rowmotion Markov chainMJ(P) by assigning a probability px to each x∈P and using these probabilities to insert randomness into the original definition of rowmotion. More generally, we introduce a very broad family of toggle Markov chains inspired by Striker's notion of generalized toggling. We characterize when toggle Markov chains are irreducible, and we show that each toggle Markov chain has a remarkably simple stationary distribution.We also provide a second generalization of rowmotion Markov chains to the context of semidistrim lattices. Given a semidistrim lattice L, we assign a probability pj to each join-irreducible element j of L and use these probabilities to construct a rowmotion Markov chain ML. Under the assumption that each probability pj is strictly between 0 and 1, we prove that ML is irreducible. We also compute the stationary distribution of the rowmotion Markov chain of a lattice obtained by adding a minimal element and a maximal element to a disjoint union of two chains.We bound the mixing time of ML for an arbitrary semidistrim lattice L. In the special case when L is a Boolean lattice, we use spectral methods to obtain much stronger estimates on the mixing time, showing that rowmotion Markov chains of Boolean lattices exhibit the cutoff phenomenon.

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Equidistribution of set-valued statistics on standard Young tableaux and transversals

As a natural generalization of permutations, transversals of Young diagrams play an important role in the study of pattern avoiding permutations. Let Tλ(τ) and STλ(τ) denote the set of τ-avoiding transversals and τ-avoiding symmetric transversals of a Young diagram λ, respectively. In this paper, we are mainly concerned with the distribution of the peak set and the valley set on standard Young tableaux and pattern avoiding transversals. In particular, we prove that the peak set and the valley set are equidistributed on the standard Young tableaux of shape λ/μ for any skew diagram λ/μ. The equidistribution enables us to show that the peak set is equidistributed over Tλ(12⋯kτ) (resp. STλ(12⋯kτ)) and Tλ(k⋯21τ) (resp. STλ(k⋯21τ)) for any Young diagram λ and any permutation τ of {k+1,k+2,…,k+m} with k,m≥1. Our results are refinements of the result of Backelin-West-Xin which states that |Tλ(12⋯kτ)|=|Tλ(k⋯21τ)| and the result of Bousquet-Mélou and Steingrímsson which states that |STλ(12⋯kτ)|=|STλ(k⋯21τ)|. As applications, we are able to•confirm a recent conjecture posed by Yan-Wang-Zhou which asserts that the peak set is equidistributed over 12⋯kτ-avoiding involutions and k⋯21τ-avoiding involutions;•prove that alternating involutions avoiding the pattern 12⋯kτ are equinumerous with alternating involutions avoiding the pattern k⋯21τ, paralleling the result of Backelin-West-Xin for permutations, the result of Bousquet-Mélou and Steingrímsson for involutions, and the result of Yan for alternating permutations.

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