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RECOVERING A TREE FROM THE LENGTHS OF SUBTREES SPANNED BY A RANDOMLY CHOSEN SEQUENCE OF LEAVES.

Authors:
Steven N Evans Daniel Lanoue

Adv Appl Math 2018 May 28;96:39-75. Epub 2018 Feb 28.

Department of Mathematics, University of California, 970 Evans Hall #3840, Berkeley, CA 94720-3840, U.S.A.

Given an edge-weighted tree with leaves, sample the leaves uniformly at random without replacement and let , 2 ≤ ≤ , be the length of the subtree spanned by the first leaves. We consider the question, "Can be identified (up to isomorphism) by the joint probability distribution of the random vector (, …, )?" We show that if is known to belong to one of various families of edge-weighted trees, then the answer is, "Yes." These families include the edge-weighted trees with edge-weights in general position, the ultrametric edge-weighted trees, and certain families with equal weights on all edges such as ( + 1)-valent and rooted -ary trees for ≥ 2 and caterpillars.

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http://dx.doi.org/10.1016/j.aam.2018.01.001DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135540PMC
May 2018

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RECOVERING A TREE FROM THE LENGTHS OF SUBTREES SPANNED BY A RANDOMLY CHOSEN SEQUENCE OF LEAVES.

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Steven N Evans Daniel Lanoue

Adv Appl Math 2018 May 28;96:39-75. Epub 2018 Feb 28.

Department of Mathematics, University of California, 970 Evans Hall #3840, Berkeley, CA 94720-3840, U.S.A.

Given an edge-weighted tree with leaves, sample the leaves uniformly at random without replacement and let , 2 ≤ ≤ , be the length of the subtree spanned by the first leaves. We consider the question, "Can be identified (up to isomorphism) by the joint probability distribution of the random vector (, …, )?" We show that if is known to belong to one of various families of edge-weighted trees, then the answer is, "Yes." These families include the edge-weighted trees with edge-weights in general position, the ultrametric edge-weighted trees, and certain families with equal weights on all edges such as ( + 1)-valent and rooted -ary trees for ≥ 2 and caterpillars. Read More

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