The Generated Assumption Principle for Zulfia Mapping

Global optimality of a stationary point is commonly obtained by imposing struc-tural assumptions such as convexity, invexity, or related generalized convexity condi-tions. This paper develops a different viewpoint based on Zulfia Mapping. Instead ofprescribing the required structural condition externally, we investigate whether it canbe generated through the decompositionZ(x, u) = η(x, u) + ∆(x, u),where η(x, u) denotes a directed component and ∆(x, u) a deviation or correction. Weformulate a Generated Assumption Principle in which the structural relation requiredfor sufficiency is induced by the mapping and combined with stationarity to obtainglobal optimality. Convexity, invexity, and the corresponding classical KKT sufficiencyframework arise as limiting cases. The paper provides a concise foundation for studyingsufficiency through generated structure.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-15
DOI
https://doi.org/10.5281/zenodo.22759770
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

The Generated Assumption Principle for Zulfia Mapping

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

The Generated Assumption Principle for Zulfia Mapping

DR. ZULFIQAR ALI KHAN
article en

Abstract

Global optimality of a stationary point is commonly obtained by imposing struc-tural assumptions such as convexity, invexity, or related generalized convexity condi-tions. This paper develops a different viewpoint based on Zulfia Mapping. Instead ofprescribing the required structural condition externally, we investigate whether it canbe generated through the decompositionZ(x, u) = η(x, u) + ∆(x, u),where η(x, u) denotes a directed component and ∆(x, u) a deviation or correction. Weformulate a Generated Assumption Principle in which the structural relation requiredfor sufficiency is induced by the mapping and combined with stationarity to obtainglobal optimality. Convexity, invexity, and the corresponding classical KKT sufficiencyframework arise as limiting cases. The paper provides a concise foundation for studyingsufficiency through generated structure.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
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.