Random Structures and Algorithms · 2004 · 41 citations · 13 references
Natural SciencesMathematicsCombinatoricsInformation TheoryProbability TheoryLimit TheoremsProbabilistic CombinatoricsJoint Distribution EstimationMultivariate Random VariablesRandom VectorTree Search
Abstract It is known that the joint distribution of the number of nodes of each type of an m ‐ary search tree is asymptotically multivariate normal when m ≤ 26. When m ≥ 27, we show the following strong asymptotics of the random vector X n = t ( X , … , X ), where X denotes the number of nodes containing i − 1 keys after having introduced n − 1 keys in the tree: There exist (nonrandom) vectors X, C, and S and random variables ρ and φ such that ( X n − nX )/ n − ρ( C cos(τ 2 log n + φ) + S sin(τ 2 log n + φ)) → n →∞ 0 almost surely and in L 2 ; σ 2 and τ 2 denote the real and imaginary parts of one of the eigenvalues of the transition matrix, having the second greatest real part. © 2004 Wiley Periodicals, Inc. Random Struct. Alg., 2004
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