Geometrical Ambiguity of Pair Statistics. I. Point Configurations
Y. Jiao, F. H. Stillinger, S. Torquato

TL;DR
This paper investigates the limitations of using pair distribution functions to uniquely reconstruct point configurations, introducing the concept of the $\ extbf{D}$ space to analyze the realizability and ambiguity of such configurations.
Contribution
It introduces the $\mathbb{D}$ space framework to characterize the realizability and ambiguity of point configurations from pair distances, demonstrating the non-uniqueness of reconstructions.
Findings
Pair information is generally insufficient for unique configuration reconstruction.
Conditions for realizability of pair distances are derived and characterized.
Explicit degenerate configurations are constructed within the $\mathbb{D}$ space.
Abstract
Point configurations have been widely used as model systems in condensed matter physics, materials science and biology. Statistical descriptors such as the -body distribution function is usually employed to characterize the point configurations, among which the most extensively used is the pair distribution function . An intriguing inverse problem of practical importance that has been receiving considerable attention is the degree to which a point configuration can be reconstructed from the pair distribution function of a target configuration. Although it is known that the pair-distance information contained in is in general insufficient to uniquely determine a point configuration, this concept does not seem to be widely appreciated and general claims of uniqueness of the reconstructions using pair information have been made based on numerical studies. In this paper,…
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.
