English

Duality of Hoffman constants

Optimization and Control 2026-01-13 v4

Abstract

We show that a suitable Slater condition implies a duality inequality between the Hoffman constants of the following feasibility problems: AxbSxR and cATyRyS. \begin{array}{r} Ax-b \in S\\ x \in R \end{array} \qquad\text{ and }\qquad \begin{array}{r} c-A^T y \in R^*\\ y \in S^*. \end{array} where ARm×nA\in \mathbb{R}^{m\times n}, and RRnR\subseteq \mathbb{R}^n and SRmS\subseteq \mathbb{R}^m are reference polyhedral cones, with respective dual cones RRnR^*\subseteq \mathbb{R}^n and SRmS^*\subseteq \mathbb{R}^m. Our approach relies on an exact characterization of Hoffman constants and introduces a novel Hoffman duality inequality for polyhedral set-valued mappings. These two fundamental results also yield a striking identity between the Hoffman constants of box-constrained feasibility problems, which feature a similar primal-dual structure with a box and a linear subspace as reference sets. Additionally, we establish a surprising identity between the Hoffman constants of box-constrained feasibility problems and the chi condition measures for weighted least-squares problems

Keywords

Cite

@article{arxiv.2312.09858,
  title  = {Duality of Hoffman constants},
  author = {Javier F. Pena and Juan C. Vera and Luis F. Zuluaga},
  journal= {arXiv preprint arXiv:2312.09858},
  year   = {2026}
}

Comments

25 pages. To Appear in SIAM Journal on Optimization

R2 v1 2026-06-28T13:52:28.513Z