Near Isometric Terminal Embeddings for Doubling Metrics

02/22/2018
by   Michael Elkin, et al.
0

Given a metric space (X,d), a set of terminals K⊆ X, and a parameter t> 1, we consider metric structures (e.g., spanners, distance oracles, embedding into normed spaces) that preserve distances for all pairs in K× X up to a factor of t, and have small size (e.g. number of edges for spanners, dimension for embeddings). While such terminal (aka source-wise) metric structures are known to exist in several settings, no terminal spanner or embedding with distortion close to 1, i.e., t=1+ϵ for some small 0<ϵ<1, is currently known. Here we devise such terminal metric structures for doubling metrics, and show that essentially any metric structure with distortion 1+ϵ and size s(|X|) has its terminal counterpart, with distortion 1+O(ϵ) and size s(|K|)+1. In particular, for any doubling metric on n points, a set of k=o(n) terminals, and constant 0<ϵ<1, there exists: (1) A spanner with stretch 1+ϵ for pairs in K× X, with n+o(n) edges. (2) A labeling scheme with stretch 1+ϵ for pairs in K× X, with label size ≈ k. (3) An embedding into ℓ_∞^d with distortion 1+ϵ for pairs in K× X, where d=O( k). Moreover, surprisingly, the last two results apply if only K is a doubling metric, while X can be arbitrary.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/16/2019

Lossless Prioritized Embeddings

Given metric spaces (X,d) and (Y,ρ) and an ordering x_1,x_2,...,x_n of (...
research
07/16/2019

Labelings vs. Embeddings: On Distributed Representations of Distances

We investigate for which metric spaces the performance of distance label...
research
03/03/2021

Minimum-Distortion Embedding

We consider the vector embedding problem. We are given a finite set of i...
research
12/13/2018

The Relationship Between the Intrinsic Cech and Persistence Distortion Distances for Metric Graphs

Metric graphs are meaningful objects for modeling complex structures tha...
research
09/14/2022

Small Transformers Compute Universal Metric Embeddings

We study representations of data from an arbitrary metric space 𝒳 in the...
research
07/21/2018

Adaptive Metrics for Adaptive Samples

In this paper we consider adaptive sampling's local-feature size, used i...
research
06/20/2023

Composition of nested embeddings with an application to outlier removal

We study the design of embeddings into Euclidean space with outliers. Gi...

Please sign up or login with your details

Forgot password? Click here to reset