A unified approach to a family of optimization problems in Banach spaces
Kallol Paul, Saikat Roy, Debmalya Sain, Shamim Sohel
TL;DR
This paper develops a unified, orthogonality-driven framework to solve key optimization problems in Banach spaces by casting them as specialized least-squares problems in appropriate sequence spaces. Using Birkhoff-James orthogonality, it establishes a duality between the Fermat-Torricelli problem and the Chebyshev center problem, with Fermat-Torricelli corresponding to $\ell_1^n$ and Chebyshev center to $\ell_\infty^n$ formulations, and leverages this to obtain explicit, constructive solutions. It provides complete classifications of BJ-orthogonality in $\ell_1^3$ and $\ell_1^4$ to solve weighted Fermat-Torricelli problems for 3 and 4 points in the complex plane, and derives algorithmic and geometric criteria for the Chebyshev center in the Euclidean plane, including weighted variants and coincidence conditions. Collectively, the results offer a cohesive, duality-based methodology for tackling fundamental location and best-approximation problems in finite-dimensional Banach spaces, with clear geometric interpretations and potential extensions to broader contexts.
Abstract
Our principal aim is to illustrate that the concept Birkhoff-James orthogonality can be applied effectively to obtain a unified approach to a large family of optimization problems in Banach spaces. We study such optimization problems from the perspective of Birkhoff-James orthogonality in certain suitable Banach spaces. In particular, we demonstrate the duality between the Fermat-Torricelli problem and the Chebyshev center problem which are important particular cases of the least square problem. We revisit the Fermat-Torricelli problem for three and four points and solve it using the same technique. We also investigate the behavior of the Fermat-Torricelli points under the addition or replacement of a new point, and present several new results involving the locations of the Fermat-Torricelli point and the Chebyshev center.
