Prefix-bounded matrices
N\'ora A. Borsik, Andr\'as Frank, P\'eter Madarasi, Tam\'as Tak\'acs

TL;DR
This paper introduces prefix-bounded matrices (PBMs), unifies their properties with earlier matrix classes, and demonstrates their convex hulls form intersections of generalized polymatroids, confirming conjectures and enabling efficient algorithms.
Contribution
It unifies various ASM extensions into prefix-bounded matrices, proves their convex hulls are TDI, and links their linear systems to network matrices for algorithmic applications.
Findings
Convex hull of PBMs is the intersection of two generalized polymatroids.
The linear inequality system for ASMs is totally dual integral (TDI).
The convex hull of PBMs has the integer decomposition property.
Abstract
By unifying various earlier extensions of alternating sign matrices (ASMs), we introduce the notion of prefix-bounded matrices (PBMs). It is shown that the convex hull of these matrices forms the intersection of two special generalized polymatroids. This implies in a more general form that the linear inequality system given by Behrend and Knight (2007) and by Striker (2007, 2009) for describing the polytope of alternating sign matrices is totally dual integral (TDI), confirming a recent conjecture of Edmonds (2024, 2025). By relying on the polymatroidal approach, we derive a characterization for the existence of prefix-bounded matrices meeting lower and upper bounds on their entries. Furthermore, we point out that the constraint matrix of the linear system describing the convex hull of PBMs, in particular ASMs, is a network matrix. This implies that…
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
TopicsAdvanced Optimization Algorithms Research · Matrix Theory and Algorithms · Interconnection Networks and Systems
