DMTCS Proceedings, Fifth Colloquium on Mathematics and Computer Science

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Polynomial tails of additive-type recursions

Eva-Maria Schopp

Abstract


Polynomial bounds and tail estimates are derived for additive random recursive sequences, which typically arise as functionals of recursive structures, of random trees, or in recursive algorithms. In particular they arise as parameters of divide and conquer type algorithms. We mainly focuss on polynomial tails that arise due to heavy tail bounds of the toll term and the starting distributions. Besides estimating the tail probability directly we use a modified version of a theorem from regular variation theory. This theorem states that upper bounds on the asymptotic tail probability can be derived from upper bounds of the Laplace--Stieltjes transforms near zero.

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