Multiple typical ranks in matrix completion
Mareike Dressler, Robert Krone
TL;DR
Problem: characterize real partial matrix patterns whose completions admit multiple typical ranks and understand how typical ranks grow in circulant graphs. Approach: combine algebraic geometry, rigidity theory, and graph-theoretic constructions to translate entry patterns into bipartite graphs and apply Schur-complement/kin to deduce completability properties and rank sets. Key contributions: complete characterization of when $n-1$ is a typical rank, full determination of typical ranks for $G(n,1)$ with $n<9$, and asymptotic bounds showing thresholds $c_r=(4^r-1)/3$ with extensions to $G(n,k)$; examples of families with paired typical ranks like $\\{n,n+1\\}$. Significance: advances understanding of real versus complex matrix completion, informs design of patterns with controlled rank behavior, and links low-rank recovery to algebraic geometry and graph theory.
Abstract
Low-rank matrix completion addresses the problem of completing a matrix from a certain set of generic specified entries. Over the complex numbers a matrix with a given entry pattern can be uniquely completed to a specific rank, called the generic completion rank. Completions over the reals may generically have multiple completion ranks, called typical ranks. We demonstrate techniques for proving that many sets of specified entries have only one typical rank, and show other families with two typical ranks, specifically focusing on entry sets represented by circulant graphs. This generalizes the results of Bernstein, Blekherman, and Sinn. In particular, we provide a complete characterization of the set of unspecified entries of an $n\times n$ matrix such that $n-1$ is a typical rank and fully determine the typical ranks for entry set $G(n,1)$ for $n<9$. Moreover, we study the asymptotic behaviour of typical ranks and present results regarding unique matrix completions.
