Maximizing a lower bound on the computational complexity |
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Authors: | Georg Gati |
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Institution: | 1. Abteilung für Mathematik und Physik, Eidgenössische Technische Hochschule Zürich, CH-8092 Zürich, Switzerland;2. Institut für Statistik und Informatik, Universität Wien, A-1014 Vienna, Austria;3. Aiken Computation Laboratory, Harvard University, Cambridge, MA 02138, USA |
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Abstract: | We solve a combinatorial problem that arises in determining by a method due to Engeler lower bounds for the computational complexity of algorithmic problems. Denote by Gd the class of permutation groups G of degree d that are iterated wreath products of symmetric groups, i.e. G = Sdh?11?1Sd0 with Πh?1i=0di = d for some natural number h and some sequence (d0,…,dh?1) of natural numbers greater than 1. The problem is to characterize those G = Sdh?11?1Sd0 in Gd on which k(G):=log|G|/max0≤i≤h?1log(di!) assumes its maximum. Our solution consists of two necessary conditions for this, namely that d0≤d1≤?≤dh and that dh is the largest prime divisor of d. Consequently, if d is a prime power, say d = ph with p prime, then a necessary and sufficient condition is that di = p, 0 ≤ i ≤ h ? 1. |
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