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    Tree Tribes and Lower Bounds for Switching Lemmas

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    We show tight upper and lower bounds for switching lemmas obtained by the action of random pp-restrictions on boolean functions that can be expressed as decision trees in which every vertex is at a distance of at most tt from some leaf, also called tt-clipped decision trees. More specifically, we show the following: \bullet If a boolean function ff can be expressed as a tt-clipped decision tree, then under the action of a random pp-restriction ρ\rho, the probability that the smallest depth decision tree for fρf|_{\rho} has depth greater than dd is upper bounded by (4p2t)d(4p2^{t})^{d}. \bullet For every tt, there exists a function gtg_{t} that can be expressed as a tt-clipped decision tree, such that under the action of a random pp-restriction ρ\rho, the probability that the smallest depth decision tree for gtρg_{t}|_{\rho} has depth greater than dd is lower bounded by (c0p2t)d(c_{0}p2^{t})^{d}, for 0pcp2t0\leq p\leq c_{p}2^{-t} and 0dcdlogn2tlogt0\leq d\leq c_{d}\frac{\log n}{2^{t}\log t}, where c0,cp,cdc_{0},c_{p},c_{d} are universal constants
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