Ramsey Spanning Trees and their Applications
Ittai Abraham, Shiri Chechik, Michael Elkin, Arnold Filtser, Ofer, Neiman

TL;DR
This paper extends the metric Ramsey problem to graphs by introducing Ramsey Spanning Trees, leading to new deterministic constructions, improved bounds, and applications in compact routing schemes with efficient decision times.
Contribution
It introduces the concept of Ramsey Spanning Trees for graphs, providing deterministic constructions and improved bounds, and applies these to develop efficient routing schemes.
Findings
Deterministic construction of large subsets embedding into ultrametrics with low distortion.
Existence of spanning trees with small stretch for large vertex subsets.
Development of a compact, stateless routing scheme with O(1) decision time.
Abstract
The metric Ramsey problem asks for the largest subset of a metric space that can be embedded into an ultrametric (more generally into a Hilbert space) with a given distortion. Study of this problem was motivated as a non-linear version of Dvoretzky theorem. Mendel and Naor 2007 devised the so called Ramsey Partitions to address this problem, and showed the algorithmic applications of their techniques to approximate distance oracles and ranking problems. In this paper we study the natural extension of the metric Ramsey problem to graphs, and introduce the notion of Ramsey Spanning Trees. We ask for the largest subset of a given graph , such that there exists a spanning tree of that has small stretch for . Applied iteratively, this provides a small collection of spanning trees, such that each vertex has a tree providing low stretch paths to all other…
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