Beyond KKT Assumptions: Zulfia Optimality Condition as Universal Sufficiency

Sufficiency was never lost. It was buried under centuries of as-sumptions. We restore it with one inequality.Classical optimality theory relies on convexity, differentiability, and constraintqualifications. The Karush-Kuhn-Tucker conditions inherit these burdens andfail outside them. We propose Zulfiability and the Zulfia Optimality Condition(ZOC) based on Decomposition. ZOC requires only:∥η(y, x∗)∥ ≤ κZ ∥y − x∗∥, κZ ∈ [0, 1)No convexity. No gradients. No constraint qualifications. We prove sufficiencyfor global optimality and show ZOC strictly generalizes KKT.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-18
DOI
https://doi.org/10.5281/zenodo.22830117
Primary Topic
Optimization and Variational Analysis
Type
article
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Beyond KKT Assumptions: Zulfia Optimality Condition as Universal Sufficiency

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

Beyond KKT Assumptions: Zulfia Optimality Condition as Universal Sufficiency

DR. ZULFIQAR ALI KHAN
article en

Abstract

Sufficiency was never lost. It was buried under centuries of as-sumptions. We restore it with one inequality.Classical optimality theory relies on convexity, differentiability, and constraintqualifications. The Karush-Kuhn-Tucker conditions inherit these burdens andfail outside them. We propose Zulfiability and the Zulfia Optimality Condition(ZOC) based on Decomposition. ZOC requires only:∥η(y, x∗)∥ ≤ κZ ∥y − x∗∥, κZ ∈ [0, 1)No convexity. No gradients. No constraint qualifications. We prove sufficiencyfor global optimality and show ZOC strictly generalizes KKT.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 9%
Optimization and Variational Analysis
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Beyond KKT Assumptions: Zulfia Optimality Condition as Universal Sufficiency — DR. ZULFIQAR ALI KHAN · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS