6 research outputs found

    The Best Mixing Time for Random Walks on Trees

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    We characterize the extremal structures for mixing walks on trees that start from the most advantageous vertex. Let G=(V,E)G=(V,E) be a tree with stationary distribution Ο€\pi. For a vertex v∈Vv \in V, let H(v,Ο€)H(v,\pi) denote the expected length of an optimal stopping rule from vv to Ο€\pi. The \emph{best mixing time} for GG is min⁑v∈VH(v,Ο€)\min_{v \in V} H(v,\pi). We show that among all trees with ∣V∣=n|V|=n, the best mixing time is minimized uniquely by the star. For even nn, the best mixing time is maximized by the uniquely path. Surprising, for odd nn, the best mixing time is maximized uniquely by a path of length nβˆ’1n-1 with a single leaf adjacent to one central vertex.Comment: 25 pages, 7 figures, 3 table

    Mixing Measures for Trees of Fixed Diameter

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    A mixing measure is the expected length of a random walk in a graph given a set of starting and stopping conditions. We determine the tree structures of order n with diameter d that minimize and maximize for a few mixing measures. We show that the maximizing tree is usually a broom graph or a double broom graph and that the minimizing tree is usually a seesaw graph or a double seesaw graph

    Exploring Random Walks on Graphs for Protein Function Prediction

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