Local linear dependence seen through duality I
Cl\'ement de Seguins Pazzis

TL;DR
This paper explores the structure of locally linearly dependent operator spaces, providing new theorems on minimal rank operators, duality-based proofs, and a classification involving novel algebraic structures called LDB division algebras.
Contribution
It introduces a duality approach to LLD spaces, improves existing theorems on minimal rank, and classifies non-reflexive operator spaces using new algebraic structures.
Findings
Reproved Bresar-Semrl theorem on minimal rank in LLD spaces.
Improved Meshulam-Semrl theorem for rank bounds.
Classified non-reflexive operator spaces with minimal rank constraints.
Abstract
A vector space S of linear operators between vector spaces U and V is called locally linearly dependent (in abbreviated form: LLD) when every vector x of U is annihilated by a non-zero operator in S. A duality argument bridges the theory of LLD spaces to the one of vector spaces of non-injective operators. This new insight yields a unified approach to rediscover basic LLD theorems and obtain many additional ones thanks to the power of formal matrix computations. In this article, we focus on the minimal rank for a non-zero operator in an LLD space. Among other things, we reprove the Bresar-Semrl theorem, which states that an n-dimensional LLD operator space always contains a non-zero operator with rank less than n, and we improve the Meshulam-Semrl theorem that examines the case when no non-zero operator has rank less than n-1. We also tackle the minimal rank problem for a non-zero…
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