Emergence of Sufficiency in Optimization: A Zulfia Mapping Approach

Any feasible direction mapping admits the Zulfia decompositionZ(x, u) = η(x, u) + ∆(x, u), (1)where η encodes structural invariance and ∆ is the remainder. The purpose is toshow that sufficiency of optimality emerges from structure, without convexity orclassical invexity. For the constrained problem min{f (x) : gi(x) ≤ 0}, define ∆-energy ∆E(x, x∗) := f (x) − fZ (x) with fZ generated by η. If fZ is Zulfia-invexw.r.t. η at x∗ with ∇fZ (x∗) = 0, thenx∗ is globally optimal ⇐⇒ ∆E(x, x∗) ≥ 0, ∀x feasible. (2)When ∆ ≡ 0, the framework recovers Hanson’s theorem and KKT sufficiency.Optimality is interpreted as η active, ∆ silent, giving a new view for nonconvexproblems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-18
DOI
https://doi.org/10.5281/zenodo.22822169
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Emergence of Sufficiency in Optimization: A Zulfia Mapping Approach

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

Emergence of Sufficiency in Optimization: A Zulfia Mapping Approach

DR. ZULFIQAR ALI KHAN
article en

Abstract

Any feasible direction mapping admits the Zulfia decompositionZ(x, u) = η(x, u) + ∆(x, u), (1)where η encodes structural invariance and ∆ is the remainder. The purpose is toshow that sufficiency of optimality emerges from structure, without convexity orclassical invexity. For the constrained problem min{f (x) : gi(x) ≤ 0}, define ∆-energy ∆E(x, x∗) := f (x) − fZ (x) with fZ generated by η. If fZ is Zulfia-invexw.r.t. η at x∗ with ∇fZ (x∗) = 0, thenx∗ is globally optimal ⇐⇒ ∆E(x, x∗) ≥ 0, ∀x feasible. (2)When ∆ ≡ 0, the framework recovers Hanson’s theorem and KKT sufficiency.Optimality is interpreted as η active, ∆ silent, giving a new view for nonconvexproblems.

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

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.