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Auteur principal: Zhang, Jincheng
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Publié: Zenodo 2026
Accès en ligne:https://doi.org/10.5281/zenodo.19637800
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author Zhang, Jincheng
author_facet Zhang, Jincheng
contents <p><span>This paper proposes a novel unified constraint theory that couples and reconstructs linear matrix inequality (LMI) constraints and minimum eigenvalue constraints within the same spectral space. While the traditional LMI form F(x) = F0 + Σ xi Fi ⪰ 0 and the minimum eigenvalue constraint λ_min(A(x)) ≥ 0 are theoretically equivalent to semi-positive definite conditions, they suffer from a separation of expression in terms of optimization structure and numerical stability. This paper introduces a "spectral embedding operator" to construct a new unified constraint form, merging matrix positive definiteness and eigenvalue boundary control into a single operator inequality. This forms a new framework applicable to robust optimization, control system stability analysis, and machine learning constraint modeling.</span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19637800
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Unified Spectral-LMI Constraint via Minimum Eigenvalue Embedding Operator
Zhang, Jincheng
<p><span>This paper proposes a novel unified constraint theory that couples and reconstructs linear matrix inequality (LMI) constraints and minimum eigenvalue constraints within the same spectral space. While the traditional LMI form F(x) = F0 + Σ xi Fi ⪰ 0 and the minimum eigenvalue constraint λ_min(A(x)) ≥ 0 are theoretically equivalent to semi-positive definite conditions, they suffer from a separation of expression in terms of optimization structure and numerical stability. This paper introduces a "spectral embedding operator" to construct a new unified constraint form, merging matrix positive definiteness and eigenvalue boundary control into a single operator inequality. This forms a new framework applicable to robust optimization, control system stability analysis, and machine learning constraint modeling.</span></p>
title Unified Spectral-LMI Constraint via Minimum Eigenvalue Embedding Operator
url https://doi.org/10.5281/zenodo.19637800