How to Complete a Doubling Metric
Anupam Gupta, Kunal Talwar

TL;DR
This paper demonstrates how to approximate any finite doubling metric with an unweighted graph whose shortest-path metric closely matches the original, while preserving the doubling dimension, facilitating easier reasoning about such metrics.
Contribution
It provides a method to embed doubling metrics into unweighted graphs with controlled distortion and dimension increase, bridging geometric and graph-theoretic properties.
Findings
Constructs unweighted graphs approximating doubling metrics with minimal dimension blowup.
Shows doubling trees can embed into low-dimensional Euclidean space with constant distortion.
Proves the tightness of the tradeoff between distortion and dimension increase.
Abstract
In recent years, considerable advances have been made in the study of properties of metric spaces in terms of their doubling dimension. This line of research has not only enhanced our understanding of finite metrics, but has also resulted in many algorithmic applications. However, we still do not understand the interaction between various graph-theoretic (topological) properties of graphs, and the doubling (geometric) properties of the shortest-path metrics induced by them. For instance, the following natural question suggests itself: \emph{given a finite doubling metric , is there always an \underline{unweighted} graph with such that the shortest path metric on is still doubling, and which agrees with on .} This is often useful, given that unweighted graphs are often easier to reason about. We show that for any metric space ,…
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Taxonomy
TopicsAdvanced Graph Theory Research · Computational Geometry and Mesh Generation · Topological and Geometric Data Analysis
