On Extended Class of Totally Ordered Interval-Valued Convex Stochastic Processes and Applications

The intent of the current study is to explore convex stochastic processes within a broader context. We introduce the concept of unified stochastic processes to analyze both convex and non-convex stochastic processes simultaneously. We employ weighted quasi-mean, non-negative mapping <inline-formu...

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Main Authors: Muhammad Zakria Javed, Muhammad Uzair Awan, Loredana Ciurdariu, Silvestru Sever Dragomir, Yahya Almalki
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Fractal and Fractional
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Online Access:https://www.mdpi.com/2504-3110/8/10/577
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author Muhammad Zakria Javed
Muhammad Uzair Awan
Loredana Ciurdariu
Silvestru Sever Dragomir
Yahya Almalki
author_facet Muhammad Zakria Javed
Muhammad Uzair Awan
Loredana Ciurdariu
Silvestru Sever Dragomir
Yahya Almalki
author_sort Muhammad Zakria Javed
collection DOAJ
description The intent of the current study is to explore convex stochastic processes within a broader context. We introduce the concept of unified stochastic processes to analyze both convex and non-convex stochastic processes simultaneously. We employ weighted quasi-mean, non-negative mapping <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>, and center-radius ordering relations to establish a class of extended <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>c</mi><mi>r</mi></mrow></semantics></math></inline-formula>-interval-valued convex stochastic processes. This class yields a combination of innovative convex and non-convex stochastic processes. We characterize our class by illustrating its relationships with other classes as well as certain key attributes and sufficient conditions for this class of processes. Additionally, leveraging Riemann–Liouville stochastic fractional operators and our proposed class, we prove parametric fractional variants of Jensen’s inequality, Hermite–Hadamard’s inequality, Fejer’s inequality, and product Hermite–Hadamard’s like inequality. We establish an interesting relation between means by means of Hermite–Hadamard’s inequality. We utilize the numerical and graphical approaches to showcase the significance and effectiveness of primary findings. Also, the proposed results are powerful tools to evaluate the bounds for stochastic Riemann–Liouville fractional operators in different scenarios for a larger space of processes.
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spelling doaj-art-bac5da086cf94254a4c3d20cb76336f82025-08-20T02:11:09ZengMDPI AGFractal and Fractional2504-31102024-09-0181057710.3390/fractalfract8100577On Extended Class of Totally Ordered Interval-Valued Convex Stochastic Processes and ApplicationsMuhammad Zakria Javed0Muhammad Uzair Awan1Loredana Ciurdariu2Silvestru Sever Dragomir3Yahya Almalki4Department of Mathematics, Government College University Faisalabad, Faisalabad 38000, PakistanDepartment of Mathematics, Government College University Faisalabad, Faisalabad 38000, PakistanDepartment of Mathematics, Politehnica University of Timisoara, 300006 Timisoara, RomaniaDepartment of Mathematics, College of Engineering & Science, Victoria University, P.O. Box 14428, Melbourne City, VIC 8001, AustraliaDepartment of Mathematics, College of Science, King Khalid University, Abha 61413, Saudi ArabiaThe intent of the current study is to explore convex stochastic processes within a broader context. We introduce the concept of unified stochastic processes to analyze both convex and non-convex stochastic processes simultaneously. We employ weighted quasi-mean, non-negative mapping <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>, and center-radius ordering relations to establish a class of extended <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>c</mi><mi>r</mi></mrow></semantics></math></inline-formula>-interval-valued convex stochastic processes. This class yields a combination of innovative convex and non-convex stochastic processes. We characterize our class by illustrating its relationships with other classes as well as certain key attributes and sufficient conditions for this class of processes. Additionally, leveraging Riemann–Liouville stochastic fractional operators and our proposed class, we prove parametric fractional variants of Jensen’s inequality, Hermite–Hadamard’s inequality, Fejer’s inequality, and product Hermite–Hadamard’s like inequality. We establish an interesting relation between means by means of Hermite–Hadamard’s inequality. We utilize the numerical and graphical approaches to showcase the significance and effectiveness of primary findings. Also, the proposed results are powerful tools to evaluate the bounds for stochastic Riemann–Liouville fractional operators in different scenarios for a larger space of processes.https://www.mdpi.com/2504-3110/8/10/577convex mappingstochastic processesinterval-valuedcenter-radius orderingRiemann–Liouville fractional operator
spellingShingle Muhammad Zakria Javed
Muhammad Uzair Awan
Loredana Ciurdariu
Silvestru Sever Dragomir
Yahya Almalki
On Extended Class of Totally Ordered Interval-Valued Convex Stochastic Processes and Applications
Fractal and Fractional
convex mapping
stochastic processes
interval-valued
center-radius ordering
Riemann–Liouville fractional operator
title On Extended Class of Totally Ordered Interval-Valued Convex Stochastic Processes and Applications
title_full On Extended Class of Totally Ordered Interval-Valued Convex Stochastic Processes and Applications
title_fullStr On Extended Class of Totally Ordered Interval-Valued Convex Stochastic Processes and Applications
title_full_unstemmed On Extended Class of Totally Ordered Interval-Valued Convex Stochastic Processes and Applications
title_short On Extended Class of Totally Ordered Interval-Valued Convex Stochastic Processes and Applications
title_sort on extended class of totally ordered interval valued convex stochastic processes and applications
topic convex mapping
stochastic processes
interval-valued
center-radius ordering
Riemann–Liouville fractional operator
url https://www.mdpi.com/2504-3110/8/10/577
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AT loredanaciurdariu onextendedclassoftotallyorderedintervalvaluedconvexstochasticprocessesandapplications
AT silvestruseverdragomir onextendedclassoftotallyorderedintervalvaluedconvexstochasticprocessesandapplications
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