Unified Invariant Optimization Theory (UI Optimization Theory): Force–Energy–Geometry–Curvature

We develop a unified invariant formulation of optimization in which optimality is ex-pressed as a structural identity preserved under admissible transformationsTη(x, y) = x + η(y, x).Under this transformation, the stationary identity∇f (x∗) = 0generates the invariant optimality conditionf (Tη(x∗, y)) ≥ f (x∗) ∀y.This invariant identity naturally defines the structural parameterΦ(y) = f (y) − f (x∗),which remains nonnegative and serves as the invariant identity parameter of optimizationsystems.From this invariant structure emerge four inseparable faces: force (equilibrium identity),energy (Φ), geometry (transformation structure), and curvature (admissibility preservation).Classical convex and invex optimization appear as special cases.This establishes the foundation of Unified Invariant Optimization Theory.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-06
DOI
https://doi.org/10.5281/zenodo.23193082
Primary Topic
Optimization and Variational Analysis
Type
article
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Unified Invariant Optimization Theory (UI Optimization Theory): Force–Energy–Geometry–Curvature

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

Unified Invariant Optimization Theory (UI Optimization Theory): Force–Energy–Geometry–Curvature

DR. ZULFIQAR ALI KHAN
article en

Abstract

We develop a unified invariant formulation of optimization in which optimality is ex-pressed as a structural identity preserved under admissible transformationsTη(x, y) = x + η(y, x).Under this transformation, the stationary identity∇f (x∗) = 0generates the invariant optimality conditionf (Tη(x∗, y)) ≥ f (x∗) ∀y.This invariant identity naturally defines the structural parameterΦ(y) = f (y) − f (x∗),which remains nonnegative and serves as the invariant identity parameter of optimizationsystems.From this invariant structure emerge four inseparable faces: force (equilibrium identity),energy (Φ), geometry (transformation structure), and curvature (admissibility preservation).Classical convex and invex optimization appear as special cases.This establishes the foundation of Unified Invariant Optimization Theory.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Optimization and Variational Analysis
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