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Dependence and phase changes in random m‐ary search trees
Authors:Hua‐Huai Chern  Michael Fuchs  Hsien‐Kuei Hwang  Ralph Neininger
Institution:1. Department of Computer Science, National Taiwan Ocean University, Keelung, Taiwan;2. Department of Applied Mathematics, National Chiao Tung University, Hsinchu, Taiwan;3. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan;4. Institute for Mathematics, Goethe University, Frankfurt a.M., Germany
Abstract:We study the joint asymptotic behavior of the space requirement and the total path length (either summing over all root‐key distances or over all root‐node distances) in random m‐ary search trees. The covariance turns out to exhibit a change of asymptotic behavior: it is essentially linear when urn:x-wiley:10429832:media:rsa20659:rsa20659-math-0001, but becomes of higher order when urn:x-wiley:10429832:media:rsa20659:rsa20659-math-0002. Surprisingly, the corresponding asymptotic correlation coefficient tends to zero when urn:x-wiley:10429832:media:rsa20659:rsa20659-math-0003, but is periodically oscillating for larger m, and we also prove asymptotic independence when urn:x-wiley:10429832:media:rsa20659:rsa20659-math-0004. Such a less anticipated phenomenon is not exceptional and our results can be extended in two directions: one for more general shape parameters, and the other for other classes of random log‐trees such as fringe‐balanced binary search trees and quadtrees. The methods of proof combine asymptotic transfer for the underlying recurrence relations with the contraction method. © 2016 Wiley Periodicals, Inc. Random Struct. Alg., 50, 353–379, 2017
Keywords:m‐ary search tree  correlation  dependence  recurrence relations  asymptotic analysis  limit law  asymptotic transfer  contraction method
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