An Asymptotic Analysis of Labeled and Unlabeled k-Trees

In this paper we provide a systematic treatment of several shape parameters of (random) k -trees. Our research is motivated by many important algorithmic applications of k -trees in the context of tree-decomposition of a graph and graphs of bounded tree-width. On the other hand, k -trees are also a...

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Veröffentlicht in:Algorithmica Jg. 75; H. 4; S. 579 - 605
Hauptverfasser: Drmota, Michael, Jin, Emma Yu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.08.2016
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ISSN:0178-4617, 1432-0541
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Zusammenfassung:In this paper we provide a systematic treatment of several shape parameters of (random) k -trees. Our research is motivated by many important algorithmic applications of k -trees in the context of tree-decomposition of a graph and graphs of bounded tree-width. On the other hand, k -trees are also a very interesting object from the combinatorial point of view. For both labeled and unlabeled k -trees, we prove that the number of leaves and more generally the number of nodes of given degree satisfy a central limit theorem with mean value and variance that are asymptotically linear in the size of the k -tree. In particular we solve the asymptotic counting problem for unlabeled k -trees. By applying a proper singularity analysis of generating functions we show that the numbers U k ( n ) of unlabeled k -trees of size n are asymptotically given by U k ( n ) ∼ c k n - 5 / 2 ρ k - n , where c k > 0 and ρ k > 0 denotes the radius of convergence of the generating function U ( z ) = ∑ n ≥ 0 U k ( n ) z n .
ISSN:0178-4617
1432-0541
DOI:10.1007/s00453-015-0039-1