Higher-order duality results for multiobjective fractional variational problems involving support functions and its application

This study investigates a class of multiobjective fractional variational problems that incorporate support functions. Utilizing the concept of higher-order pseudoinvexity, we establish duality results for these problems. We present an example of a non-trivial functional that demonstrates higher-order pseudoinvexity, distinguishing it from first-order pseudoinvexity. Our theoretical analysis elucidates the relationship between the primal and dual values within the proposed model. To validate the weak duality theorem, we also provide a practical example.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-04
DOI
https://doi.org/10.1051/ro/2025130/pdf
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
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article

Higher-order duality results for multiobjective fractional variational problems involving support functions and its application

Sonali Sethi, N. Kailey, Vivek Dhingra, Izhar Ahmad
Springer Link (Chiba Institute of Technology)
Optimization and Variational Analysis
article

Higher-order duality results for multiobjective fractional variational problems involving support functions and its application

Sonali Sethi, N. Kailey, Vivek Dhingra, Izhar Ahmad
article en

Abstract

This study investigates a class of multiobjective fractional variational problems that incorporate support functions. Utilizing the concept of higher-order pseudoinvexity, we establish duality results for these problems. We present an example of a non-trivial functional that demonstrates higher-order pseudoinvexity, distinguishing it from first-order pseudoinvexity. Our theoretical analysis elucidates the relationship between the primal and dual values within the proposed model. To validate the weak duality theorem, we also provide a practical example.

Springer Link (Chiba Institute of Technology)
Reduced inequalities
Openalex Percentile: Top 23%
Optimization and Variational Analysis
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