On Pair Invexity in Optimization — A Coupled Mapping Generalization of Invexity

This paper introduces a Pair Invexity framework based on coupled mappings for constrainedoptimization problems. The framework is built upon the coupled mapping;P (x, u) = Ψ(η1(x, u), η2(x, u)),and Pair Invexity is defined throughf (x) − f (u) ≥ ∇f (u)T P (x, u), ∀x, u ∈ X.The proposed framework is developed for both objective and constraint functions in constrainedoptimization. Under Pair Invexity assumptions, Karush-Kuhn-Tucker (KKT) conditions, suffi-ciency and induced sufficiency theorems are established. Limiting cases and relationship struc-tures are also investigated, showing that classical invexity appears as a special realization ofthe proposed coupled mapping framework.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-24
DOI
https://doi.org/10.5281/zenodo.22930759
Primary Topic
Optimization and Variational Analysis
Type
article
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On Pair Invexity in Optimization — A Coupled Mapping Generalization of Invexity

DR. ZULFIQAR ALI KHAN
Zenodo (CERN European Organization for Nuclear Research)
Optimization and Variational Analysis
article

On Pair Invexity in Optimization — A Coupled Mapping Generalization of Invexity

DR. ZULFIQAR ALI KHAN
article en

Abstract

This paper introduces a Pair Invexity framework based on coupled mappings for constrainedoptimization problems. The framework is built upon the coupled mapping;P (x, u) = Ψ(η1(x, u), η2(x, u)),and Pair Invexity is defined throughf (x) − f (u) ≥ ∇f (u)T P (x, u), ∀x, u ∈ X.The proposed framework is developed for both objective and constraint functions in constrainedoptimization. Under Pair Invexity assumptions, Karush-Kuhn-Tucker (KKT) conditions, suffi-ciency and induced sufficiency theorems are established. Limiting cases and relationship struc-tures are also investigated, showing that classical invexity appears as a special realization ofthe proposed coupled mapping framework.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 9%
Optimization and Variational Analysis
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