Sub-Gaussian tail bounds for the width and height of conditioned Galton--Watson trees

Details Sub-Gaussian tail bounds for the width and height of conditioned Galton--Watson trees Sub-Gaussian tail bounds for the width and height of conditioned Galton--Watson trees

2010-11-18

arxiv.org/abs/1011.4121v1

Mathematics

Probability

15 pages

Scientific paper

We study the height and width of a Galton--Watson tree with offspring distribution B satisfying E(B)=1, 0 < Var(B) < infinity, conditioned on having exactly n nodes. Under this conditioning, we derive sub-Gaussian tail bounds for both the width (largest number of nodes in any level) and height (greatest level containing a node); the bounds are optimal up to constant factors in the exponent. Under the same conditioning, we also derive essentially optimal upper tail bounds for the number of nodes at level k, for 1 <= k <= n.

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