Faces of homogeneous cones and applications to homogeneous chordality

Fuente: arXiv
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Autori principali: Gouveia, João, Ito, Masaru, Lourenço, Bruno F.
Natura: Preprint
Pubblicazione: 2025
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author Gouveia, João
Ito, Masaru
Lourenço, Bruno F.
author_facet Gouveia, João
Ito, Masaru
Lourenço, Bruno F.
contents A convex cone $\mathcal{K}$ is said to be homogeneous if its group of automorphisms acts transitively on its relative interior. Important examples of homogeneous cones include symmetric cones and cones of positive semidefinite (PSD) matrices that follow a sparsity pattern given by a homogeneous chordal graph. Our goal in this paper is to elucidate the facial structure of homogeneous cones and make it as transparent as the faces of the PSD matrices. We prove that each face of a homogeneous cone $\mathcal{K}$ is mapped by an automorphism of $\mathcal{K}$ to one of its finitely many so-called principal faces. Furthermore, constructing such an automorphism can be done algorithmically by making use of a generalized Cholesky decomposition. Among other consequences, we give a proof that homogeneous cones are projectionally exposed, which strengthens the previous best result that they are amenable. Using our results, we will carefully analyze the facial structure of cones of PSD matrices satisfying homogeneous chordality and discuss consequences for the corresponding family of PSD completion problems.
format Preprint
id arxiv_https___arxiv_org_abs_2501_09581
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Faces of homogeneous cones and applications to homogeneous chordality
Gouveia, João
Ito, Masaru
Lourenço, Bruno F.
Optimization and Control
Combinatorics
A convex cone $\mathcal{K}$ is said to be homogeneous if its group of automorphisms acts transitively on its relative interior. Important examples of homogeneous cones include symmetric cones and cones of positive semidefinite (PSD) matrices that follow a sparsity pattern given by a homogeneous chordal graph. Our goal in this paper is to elucidate the facial structure of homogeneous cones and make it as transparent as the faces of the PSD matrices. We prove that each face of a homogeneous cone $\mathcal{K}$ is mapped by an automorphism of $\mathcal{K}$ to one of its finitely many so-called principal faces. Furthermore, constructing such an automorphism can be done algorithmically by making use of a generalized Cholesky decomposition. Among other consequences, we give a proof that homogeneous cones are projectionally exposed, which strengthens the previous best result that they are amenable. Using our results, we will carefully analyze the facial structure of cones of PSD matrices satisfying homogeneous chordality and discuss consequences for the corresponding family of PSD completion problems.
title Faces of homogeneous cones and applications to homogeneous chordality
topic Optimization and Control
Combinatorics
url https://arxiv.org/abs/2501.09581