Existence of Solutions and Relative Regularity Conditions for Polynomial Vector Optimization Problems

Fuente: arXiv
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Main Author: Liu, Danyang
Format: Preprint
Published: 2025
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author Liu, Danyang
author_facet Liu, Danyang
contents In this paper, we establish the existence of the efficient solutions for polynomial vector optimization problems on a nonempty closed constraint set without any convexity and compactness assumptions. We first introduce the relative regularity conditions for vector optimization problems whose objective functions are a vector polynomial and investigate their properties and characterizations. Moreover, we establish relationships between the relative regularity conditions, Palais-Smale condition, weak Palais-Smale condition, M-tameness and properness with respect to some index set. Under the relative regularity and non-regularity conditions, we establish nonemptiness of the efficient solution sets of the polynomial vector optimization problems respectively. As a by-product, we infer Frank-Wolfe type theorems for a non-convex polynomial vector optimization problem. Finally, we study the local properties and genericity characteristics of the relative regularity conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2508_04991
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Existence of Solutions and Relative Regularity Conditions for Polynomial Vector Optimization Problems
Liu, Danyang
Optimization and Control
In this paper, we establish the existence of the efficient solutions for polynomial vector optimization problems on a nonempty closed constraint set without any convexity and compactness assumptions. We first introduce the relative regularity conditions for vector optimization problems whose objective functions are a vector polynomial and investigate their properties and characterizations. Moreover, we establish relationships between the relative regularity conditions, Palais-Smale condition, weak Palais-Smale condition, M-tameness and properness with respect to some index set. Under the relative regularity and non-regularity conditions, we establish nonemptiness of the efficient solution sets of the polynomial vector optimization problems respectively. As a by-product, we infer Frank-Wolfe type theorems for a non-convex polynomial vector optimization problem. Finally, we study the local properties and genericity characteristics of the relative regularity conditions.
title Existence of Solutions and Relative Regularity Conditions for Polynomial Vector Optimization Problems
topic Optimization and Control
url https://arxiv.org/abs/2508.04991