Monotone Maps, Sphericity and Bounded Second Eigenvalue
Yonatan Bilu, Nati Linial

TL;DR
This paper studies monotone embeddings of finite metric spaces into low-dimensional normed spaces, revealing limitations based on graph sphericity and eigenvalues, and characterizing graphs that resist such embeddings.
Contribution
It establishes bounds on the sphericity of regular graphs using eigenvalues and connects these results to the difficulty of monotone embeddings into low-dimensional spaces.
Findings
Any metric on n points can be embedded into l2^n.
Almost every n-point metric space requires high-dimensional space for monotone embedding.
Graphs with bounded second eigenvalue have high sphericity, limiting low-dimensional embeddings.
Abstract
We consider {\em monotone} embeddings of a finite metric space into low dimensional normed space. That is, embeddings that respect the order among the distances in the original space. Our main interest is in embeddings into Euclidean spaces. We observe that any metric on points can be embedded into , while, (in a sense to be made precise later), for almost every -point metric space, every monotone map must be into a space of dimension . It becomes natural, then, to seek explicit constructions of metric spaces that cannot be monotonically embedded into spaces of sublinear dimension. To this end, we employ known results on {\em sphericity} of graphs, which suggest one example of such a metric space - that defined by a complete bipartitegraph. We prove that an -regular graph of order , with bounded diameter has sphericity ,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Geometry and Mesh Generation · Point processes and geometric inequalities · Advanced Graph Theory Research
