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2020 Random self-similar trees: A mathematical theory of Horton laws
Yevgeniy Kovchegov, Ilya Zaliapin
Probab. Surveys 17: 1-213 (2020). DOI: 10.1214/19-PS331

Abstract

The Horton laws originated in hydrology with a 1945 paper by Robert E. Horton, and for a long time remained a purely empirical finding. Ubiquitous in hierarchical branching systems, the Horton laws have been rediscovered in many disciplines ranging from geomorphology to genetics to computer science. Attempts to build a mathematical foundation behind the Horton laws during the 1990s revealed their close connection to the operation of pruning – erasing a tree from the leaves down to the root. This survey synthesizes recent results on invariances and self-similarities of tree measures under various forms of pruning. We argue that pruning is an indispensable instrument for describing branching structures and representing a variety of coalescent and annihilation dynamics. The Horton laws appear as a characteristic imprint of self-similarity, which settles some questions prompted by geophysical data.

Citation

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Yevgeniy Kovchegov. Ilya Zaliapin. "Random self-similar trees: A mathematical theory of Horton laws." Probab. Surveys 17 1 - 213, 2020. https://doi.org/10.1214/19-PS331

Information

Published: 2020
First available in Project Euclid: 22 February 2020

Digital Object Identifier: 10.1214/19-PS331

Subjects:
Primary: 05C05, 05C80
Secondary: 05C63, 58-02

JOURNAL ARTICLE
213 PAGES


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Vol.17 • 2020
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