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Counts of long aligned word matches among random letter sequences

Published online by Cambridge University Press:  01 July 2016

Samuel Karlin*
Affiliation:
Stanford University
Friedemann Ost*
Affiliation:
Technische Universität München
*
Postal address: Department of Mathematics, Stanford University, Stanford, CA 94305, USA.
∗∗ Postal address: Institut für Angewandte Mathematik und Statistik, Technische Universität München, Arcisstr. 21, D-8000 München 2, Germany.

Abstract

Asymptotic distributional properties of the maximal length aligned word (a contiguous set of letters) among multiple random Markov dependent sequences composed of letters from a finite alphabet are given. For sequences of length N, Cr,s(N) defined as the longest common aligned word found in r or more of s sequences has order growth log N/(–logλ) where λis the maximal eigenvalue of r-Schur product matrices from among the collections of Markov matrices that generate the sequences. The count Zr,s(N, k) of positions that initiate an aligned match of length exceeding k = log N/(–logλ) + x but fail to match at the immediately preceding position has a limiting Poisson distribution. Distributional properties of other long aligned word relationships and patterns are also discussed.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1987 

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Footnotes

Research supported in part by NIH Grant GM10452-22 and NSF Grant MCS82-15131.

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