Reverse Minkowski Inequalities Pertaining to New Weighted Generalized Fractional Integral Operators

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Abstract
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In this paper, we obtain reverse Minkowski inequalities pertaining to new weighted generalized fractional integral operators. Moreover, we derive several important special cases for suitable choices of functions. In order to demonstrate the efficiency of our main results, we offer many concrete examples as applications.

Highlights

  • Minkowski Inequalities Pertaining to Fractional calculus, the study of integrals and derivatives of arbitrary order, is crucial in several problems in mathematics and its related applications

  • Integral inequalities link with other areas such as mathematical analysis, mathematical physics, differential equations, difference equations, discrete fractional calculus and convexity theory

  • For a given L1 -function v and positive function φ which has an inverse on an interval [ς 1, ς 2 ], the weighted generalized left- and right-side fractional integral operators, applied to v ( x ), are defined for η, $ > 0 and w ∈ R by θ, φ

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Minkowski Inequalities Pertaining to Fractional calculus, the study of integrals and derivatives of arbitrary order, is crucial in several problems in mathematics and its related applications (see [1,2,3,4,5]). In [46,47], the authors, via Hadamard fractional integral operators, obtained the reverse Minkowski inequality. Nale et al [51], using generalized proportional Hadamard fractional integral operators, established Minkowski-type inequalities. Motivated by the above results and literature, this paper is organized as follows: In Section 2, we recall some basic definitions and introduce the new general family of fractional integral operators.

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On the weighted fractional P\xf3lya\u2013Szeg\xf6 and Chebyshev-types integral inequalities concerning another function
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Certain New Reverse Hölder- and Minkowski-Type Inequalities for Modified Unified Generalized Fractional Integral Operators with Extended Unified Mittag–Leffler Functions
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In this article, we obtain certain novel reverse Hölder- and Minkowski-type inequalities for modified unified generalized fractional integral operators (FIOs) with extended unified Mittag–Leffler functions (MLFs). The predominant results of this article generalize and extend the existing fractional Hölder- and Minkowski-type integral inequalities in the literature. As applications, the reverse versions of weighted Radon-, Jensen- and power mean-type inequalities for modified unified generalized FIOs with extended unified MLFs are also investigated.

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Many scholars have recently become interested in establishing integral inequalities using various known fractional operators. Fractional calculus has grown in popularity as a result of its capacity to quickly solve real-world problems. First, we establish new fractional inequalities of the Hadamard–Mercer, Pachpatte–Mercer, and Dragomir–Agarwal–Mercer types containing an exponential kernel. In this regard, the inequality proved by Jensen and Mercer plays a major role in our main results. Integral inequalities involving convexity have a wide range of applications in several domains of mathematics where symmetry is important. Both convexity and symmetry are closely linked with each other; when working on one of the topics, you can apply what you have learned to the other. We consider a new identity for differentiable mappings and present its companion bound for the Dragomir–Agarwal–Mercer type inequality employing a convex function. Applications involving matrices are presented. Finally, we conclude our article and discuss its future scope.

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Results on Minkowski-Type Inequalities for Weighted Fractional Integral Operators
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This article considers a general family of weighted fractional integral operators and utilizes this general operator to establish numerous reverse Minkowski inequalities. When it comes to understanding and investigating convexity and inequality, symmetry is crucial. It provides insightful explanations, clearer explanations, and useful methods to help with the learning of key mathematical ideas. The kernel of the general family of weighted fractional integral operators is related to a wide variety of extensions and generalizations of the Mittag-Leffler function and the Hurwitz-Lerch zeta function. It delves into the applications of fractional-order integral and derivative operators in mathematical and engineering sciences. Furthermore, this article derives specific cases for selected functions and presents various applications to illustrate the obtained results. Additionally, novel applications involving the Digamma function are introduced.

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  • Miguel Romero + 1 more

The control strategies based on the methodology known as Model–based Predictive Control (MPC) have been developed and widely adopted to control real plants. This is mainly due to their intrinsic ability to handle constrains and their capacity to predict and optimize the future behavior of the process using a dynamical model of the plant. On the other hand, the mathematical tool known as fractional calculus has been currently used for reformulating the predictive control strategies to reach a better performance adding new control parameters. This work extends the use of fractional operators for the constraints in one type of fractional predictive control strategy known as Fractional–order Generalized Predictive Control (FGPC), interpreting and discussing the results. In addition, a new method to soften constraints using fractional operator is proposed and illustrated with examples, even to adjust the final response of the system. A practical tunning of the rest of controller parameters with the help of a well–known mathematical software is also included to make use of the beneficial characteristics of this fractional predictive formulation.

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<abstract><p>For generalizations of concepts of different fields fractional derivative operators as well as fractional integral operators are useful notions. Our aim in this paper is to discuss boundedness of the integral operators which contain Mittag-Leffler function in their kernels. The results are obtained for strongly $ (\alpha, h-m) $-convex functions which hold for different kinds of convex functions at the same time. They also give improvements/refinements of many already published results.</p></abstract>

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