Peer-reviewedCC BYInternational Journal of Analysis and Applications
Novel Unified Variants, Properties, and Applications of Ostrowski, Jensen, and Hermite–Hadamard Inequalities for Generalized (η, p, h)-Convex Stochastic Processes
9 affiliations
- 1Department of Mathematics , Government College University Lahore (GCUL) , Lahore 54000 , Pakistan
- 2Abdus Salam School of Mathematical Sciences , GC University , Lahore , Pakistan
- 3Center for Theoretical Physics , Khazar University , 41 Mehseti Str. , Baku , AZ1096 , Azerbaijan
- 4Department of Mathematics , Faculty of Science , Jazan University , Jazan 45142 , Saudi Arabia
- 5Department of Mathematics and Didactics of Mathematics , Tallinn University , 10120 Tallinn , Estonia
- 6Department of Mathematics and Physics , Autonomous University of Aguascalientes , Aguascalientes 20100 , Mexico
- 7Department of Electronics , Autonomous University of Aguascalientes , Ave. Universidad 940 , Ciudad Universitaria , Aguascalientes 20100 , Mexico
- 8Department of Mathematics , "1 Decembrie 1918 " University of Alba Iulia , 510009 Alba Iulia , Romania
- 9Department of Mathematics , Technical University of Cluj-Napoca , 400114 Cluj-Napoca , Romania
Abstract
Stochastic processes play a crucial role in functional analysis and the study of inequalities under uncertainty, with Wiener processes providing a fundamental model for random perturbations. In this work, we introduce a new class of generalized (η, p, h)-convex stochastic processes, which unifies and extends several existing notions of convexity in the stochastic setting. We investigate essential properties of this class and derive novel Ostrowski-, Jensen-, and Hermite–Hadamard-type inequalities. The validity and effectiveness of the obtained results are illustrated through non-trivial examples and graphical comparisons highlighting the impact of Wiener processes relative to deterministic components.
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BibTeX
@article{adrees2026novel,
title = {{Novel Unified Variants, Properties, and Applications of Ostrowski, Jensen, and Hermite–Hadamard Inequalities for Generalized (η, p, h)-Convex Stochastic Processes}},
author = {Amad Adrees and Waqar Afzal and Mehreen Shehzadi Khan and Hafeez Sultana and Omniat Omer Yousif Karrar and Leema Aliyarukunju and Jorge E. Macías-Díaz and Alejandro Román-Loera and Daniel Breaz and Luminiţa-Ioana Cotîrlă},
journal = {International Journal of Analysis and Applications},
year = {2026},
month = may,
doi = {10.28924/2291-8639-24-2026-164},
url = {https://doi.org/10.28924/2291-8639-24-2026-164},
note = {CC BY},
}
RIS
TY - JOUR
TI - Novel Unified Variants, Properties, and Applications of Ostrowski, Jensen, and Hermite–Hadamard Inequalities for Generalized (η, p, h)-Convex Stochastic Processes
AU - Amad Adrees
AU - Waqar Afzal
AU - Mehreen Shehzadi Khan
AU - Hafeez Sultana
AU - Omniat Omer Yousif Karrar
AU - Leema Aliyarukunju
AU - Jorge E. Macías-Díaz
AU - Alejandro Román-Loera
AU - Daniel Breaz
AU - Luminiţa-Ioana Cotîrlă
PY - 2026
DA - 2026/05/29
JO - International Journal of Analysis and Applications
DO - 10.28924/2291-8639-24-2026-164
UR - https://doi.org/10.28924/2291-8639-24-2026-164
AB - Stochastic processes play a crucial role in functional analysis and the study of inequalities under uncertainty, with Wiener processes providing a fundamental model for random perturbations. In this work, we introduce a new class of generalized (η, p, h)-convex stochastic processes, which unifies and extends several existing notions of convexity in the stochastic setting. We investigate essential properties of this class and derive novel Ostrowski-, Jensen-, and Hermite–Hadamard-type inequalities. The validity and effectiveness of the obtained results are illustrated through non-trivial examples and graphical comparisons highlighting the impact of Wiener processes relative to deterministic components.
SN - 2291-8639
ER -