2021
DOI: 10.1007/s00026-021-00539-2
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Extremal Values of the Sackin Tree Balance Index

Abstract: Tree balance plays an important role in different research areas like theoretical computer science and mathematical phylogenetics. For example, it has long been known that under the Yule model, a pure birth process, imbalanced trees are more likely than balanced ones. Also, concerning ordered search trees, more balanced ones allow for more efficient data structuring than imbalanced ones. Therefore, different methods to measure the balance of trees were introduced. The Sackin index is one of the most frequently… Show more

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Cited by 12 publications
(17 citation statements)
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“…The analyses concerning extremal values and trees for mCI (and thus also for the classic cherry index) and J nicely complement recent research on extremal properties of other classic balance indices [4,23]. The results on the J index can be directly derived from insights into the new SN I index, as we can surprisingly show that, while these indices are substantially very different, their extremal behavior completely coincides.…”
Section: Introductionsupporting
confidence: 76%
See 1 more Smart Citation
“…The analyses concerning extremal values and trees for mCI (and thus also for the classic cherry index) and J nicely complement recent research on extremal properties of other classic balance indices [4,23]. The results on the J index can be directly derived from insights into the new SN I index, as we can surprisingly show that, while these indices are substantially very different, their extremal behavior completely coincides.…”
Section: Introductionsupporting
confidence: 76%
“…For decades, various balance indices have been used and discussed as a tool to measure the degree of asymmetry in trees like genealogies or phylogenies that are, for instance, reconstructed based on genetical data (see, for example, [1,2,3,4,5,6]). Their application can give insights into diversification rate variation [7], influences like fertility inheritance and selection [8,9] or effects of different tree reconstruction methods [10,11,12].…”
Section: Introductionmentioning
confidence: 99%
“…In this subsection, we will provide some additional results on the Sackin index and the average leaf depth that -to our knowledge -have not yet been known or not yet been proven. For that, recall that the Sackin index [27,73] of a tree T ∈ T * n is defined as 19…”
Section: A11 Average Leaf Depth and Sackin Indexmentioning
confidence: 99%
“…By showing that all trees with minimal Colless index also have minimal Sackin index, we derive an upper bound for this number, since the number of trees with minimal Sackin index is known in the literature (cf. Theorem 8 in Fischer (2018)). Using some knowledge on the leaf partitioning induced by the root of trees with minimum Colless index, we are able to improve this bound even further.…”
Section: Introductionmentioning
confidence: 99%
“…Definition 3 on page 31) we have S(T 1 ) = S(T 2 ) = 44, which can be shown to be minimal (cf. Theorem 3 inFischer (2018)).…”
mentioning
confidence: 99%