Why Study Spherical Convexity of Non-Homogeneous Quadratics and what Makes it Surprising?

Abstract This paper establishes necessary, sufficient, and equivalent conditions for the spherical convexity of non-homogeneous quadratic functions. By examining criteria for determining spherical convexity, we identified unique properties that differentiate spherically convex quadratic functions from their geodesically convex counterparts in both hyperbolic and Euclidean spaces. Since spherically convex functions over the entire sphere are constant, our analysis focuses on proper spherically convex subsets of the sphere. Our primary results concern non-homogeneous quadratic functions on the spherically convex set of unit vectors with positive coordinates. We also extend our findings to more general spherically convex sets. Additionally, the paper explores special cases of non-homogeneous quadratic functions where the defining matrix is of a specific type, such as positive, diagonal, or a Z-matrix. This study not only provides useful criteria for spherical convexity but also reveals surprising characteristics of spherically convex quadratic functions, contributing to a deeper understanding of convexity in spherical geometries.

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Publication Details

Journal
Journal of Optimization Theory and Applications
Published
2025-02-18
DOI
https://doi.org/10.1007/s10957-025-02620-9
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Why Study Spherical Convexity of Non-Homogeneous Quadratics and what Makes it Surprising?

Roger Bolton, S. Z. Németh
Journal of Optimization Theory and Applications
Matrix Theory and Algorithms
article

Why Study Spherical Convexity of Non-Homogeneous Quadratics and what Makes it Surprising?

Roger Bolton, S. Z. Németh
article en

Abstract

Abstract This paper establishes necessary, sufficient, and equivalent conditions for the spherical convexity of non-homogeneous quadratic functions. By examining criteria for determining spherical convexity, we identified unique properties that differentiate spherically convex quadratic functions from their geodesically convex counterparts in both hyperbolic and Euclidean spaces. Since spherically convex functions over the entire sphere are constant, our analysis focuses on proper spherically convex subsets of the sphere. Our primary results concern non-homogeneous quadratic functions on the spherically convex set of unit vectors with positive coordinates. We also extend our findings to more general spherically convex sets. Additionally, the paper explores special cases of non-homogeneous quadratic functions where the defining matrix is of a specific type, such as positive, diagonal, or a Z-matrix. This study not only provides useful criteria for spherical convexity but also reveals surprising characteristics of spherically convex quadratic functions, contributing to a deeper understanding of convexity in spherical geometries.

Journal of Optimization Theory and ApplicationsVol. 205(1)
University of Birmingham (GB)
Openalex Percentile: Top 96%
Matrix Theory and Algorithms
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