Abstract
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.
1. Introduction
Fractional calculus is a field within mathematical analysis that expands the notions of differentiation and integration beyond integer orders. Unlike in traditional calculus, where the order of differentiation or integration is limited to positive integers, fractional calculus allows for orders that include real numbers, including fractions. This field has broad-ranging practical applications in several disciplines, such as physics [1], engineering [2], finance [3], and signal processing [4]. One of the key features of fractional calculus is its ability to describe systems with long-range memory and non-locality. Fractional derivatives and integrals have been used to model phenomena such as diffusion [5], wave propagation [6], and viscoelasticity [7], among others. The theory of fractional calculus is still an active area of research, and new applications and generalizations are being discovered regularly (see [8,9,10,11]).
Fractional order derivatives and integrals are the subject of fractional calculus. Due to the usefulness of calculus, many researchers are interested in exploring its origins and the fundamental principles of fractional calculus. For further reading on this subject, refer to [12,13,14,15,16]. Fractional integral inequalities have a significant role in establishing uniqueness of both conventional and fractional differential equations. These inequalities find applications in various areas. For example, Anastassiou [17] defined a Caputo-like discrete nabla fractional difference and produced discrete nabla fractional Taylor formulae, and then presented fractional Opial-, Ostrowski-, Poincaré and Sobolev-type inequalities, Zheng [18] established Gronwall-Bellman-type discrete fractional difference inequalities and fractional sum inequalities for solutions to discrete fractional difference equations, and Agarwal et al. [19] established new variants of Hermite-Hadamard-type inequalities using a convex function.
Definition 1
(see [15,20]). The left and right Riemann-Liouville fractional integrals are defined as follows for (the Lebesgue measurable functions on ):
and
respectively, for the order .
Fractional derivatives and integrals are effective in characterizing the memory and hereditary properties of numerous materials and processes. Successful applications of fractional differential equations and inequality models can be found, among others, in engineering, physics, biomathematics, viscoelasticity, aerodynamics, electrodynamics of complex media, electrical circuits, electroanalytical chemistry, control theory, etc.
Baleanu and Fernandez [21] categorized fractional-calculus operators into distinct classes based on their varying properties. Meanwhile, Hilfer et al. [22] proposed utilizing desiderata to define an operator as a fractional derivative or integral. However, they did not establish a single and definitive approach to defining fractional derivatives or integrals, nor did they specify their desiderata axioms. Instead, they wanted to encourage the field by offering recommendations based on a selected group of well-known and respected criteria. Many other recent developments on the reverse Minkowski-type inequalities as well as their connections with other families of integral inequalities can be found in (for example) [23,24,25,26].
The Chebyshev inequality is the first fundamental integral inequality which we will study in this article. It is expressed as follows (see [27,28]):
Let and be a set of integrable and synchronous functions on the closed interval . Then, the following integral inequality holds true:
Definition 2.
Two functions are said to be synchronous if the following inequality is satisfied:
for all .
One significant class of inequality that is connected to the synchronous functions is the so-called Chebyshev inequality [28]. Many different inequalities for expectation and variance for cumulative distribution functions were obtained using a version of Chebyshev’s inequality, according to Liu [29]. It is significant to note that, according to Ozdemir and Pachpatte [30,31], Chebyshev’s inequality (1) has been expanded to include functions whose derivatives are located in spaces. The Chebyshev inequality (1) is also incorporated with fractional calculus by Set et al. [32] and differentiable functions by Pachpatte [31].
The reverse Minkowski inequality is a fundamental result in mathematics that concerns the volumes of convex sets in the Euclidean space. It states that the volume of a convex set in the n-dimensional Euclidean space raised to the power of is bounded below by a constant times the norm of the support function of the set raised to the power of , where p is the dual exponent of the norm. This inequality has important applications in convex geometry [33], differential geometry [34], analysis [35], probability theory [36], and mathematical finance [37]. Many variations of the inequality have been established for different classes of convex sets and measures. The reverse Minkowski inequality is a powerful tool in mathematics that has enabled researchers to derive many important results in various areas of research.
The development of reverse Minkowski fractional integral inequalities can be seen in the article of Dahmani et al. [38]. Set et al. [39] used the Riemann-Liouville fractional integrals to derive reverse Minkowski inequalities. The reverse Minkowski inequality was considered by Chinchane et al. [40] using the Hadamard fractional integral operators. Sousa et al. [41] derived Minkowski-type inequalities by using some variations of the Erdélyi-Kober-type fractional integral operators, and Rahman et al. [42] used some generalized proportional fractional integral operators to derive Minkowski-type inequalities.
Recently, there has been a significant increase in the utilization of fractional calculus concerning integral inequalities. In order to advance further in this field, it becomes imperative to integrate the notions of weighted fractional calculus to introduce novel inequalities. The exploration of the reverse Minkowski inequality for weighted fractional integrals has been relatively limited in existing research. To address this knowledge gap, our objective is to propose a fresh weighted fractional integral operator and subsequently establish a set of Reverse Minkowski-type inequalities, along with their enhancements, by leveraging fractional calculus, fuzzy calculus, and quantum calculus. In this article, we initiate our investigation by incorporating the introduced weighted fractional calculus to present our main findings. Future articles will delve into these concepts within the aforementioned areas of focus.
The research paper aims to thoroughly study and understand the properties and uses of weighted fractional integral operators, the reverse Minkowski integral inequality, the digamma (or -) function, Mittag-Leffler functions, and the Hurwitz-Lerch zeta function. It seeks to explore how these mathematical ideas are connected to each other, their unique characteristics, and how they can be applied in various areas like fractional calculus, inequalities, special functions, and related fields. The ultimate goal is to contribute new knowledge, theorems, or approaches that can enhance our understanding and application of these concepts in practical and theoretical contexts.
The new weighted fractional integral operator is introduced in Section 2 of this article. Section 3 is devoted towards developing reverse Minkowski inequalities for the weighted fractional integral operators. To emphasize the importance of our findings, we identify a number of significant special situations for proper function choices. In Section 4, we illustrate a number of implementations of our findings. Applications related to the Digamma (or the -) function are presented in Section 5. Finally, in Section 6, a brief conclusion and some thoughts for future research are discussed.
2. Models Based upon Operators of Fractional Calculus
The definition of the Fox-Wright hypergeometric function , generated by the series below, is provided in [43,44,45]:
where
with
satisfying the following condition:
in which the equality holds true only for the appropriate constraint on the argument z given by
We will now shift our focus to a general version of the Fox-Wright function in (2), known as , which was introduced by Wright on Page 424 of [46]. The function is defined as follows:
where and with the bounded sequence in the real-number set . As previously noted in, for example, [47,48,49], this same function was recently replicated, but without giving due credit to Wright [46]. In his survey-cum-expository review articles, Srivastava systematically examined various families of fractional integral and fractional derivative operators by using the Wright function in (4), as well as its several companions and extensions. Specifically, the following unification of the definition in (4) and a wide variety of extensions and generalizations of the familiar Hurwitz-Lerch zeta function was introduced and studied by Srivastava (see, for details, [48,49]; see also [45]):
where the suitably-bounded sequence and the parameters s and are appropriately constrained. In fact, the function was successfully used as the kernel of a general family of operators of fractional calculus. Here, in this article, we recall the following case with the Wright function in (4) as the kernel.
Definition 3
(see [47,48,49]). The left- and right-sided fractional integral operators are defined for and for a given -function on an interval as follows:
and
where is the Wright function defined by (4).
In what follows, we consider the function satisfying the conditions:
and
where and are independent of
Sarikaya et al. (see [50]) considered the following definition by using the above function that satisfies the conditions (8) to (11).
Definition 4
(see [50]). The definition of generalized fractional integrals for a function is given by
and
respectively.
The following operators of fractional calculus were defined by Srivastava et al. [51].
Definition 5
(see [51]). For a given -function on an interval the generalized fractional integral operators for and are presented as follows:
and
Definition 6
(see [52]). The operators of weighted generalized fractional integrals are defined for a given -function and a positive function Φ that has an inverse on the interval with and as follows:
and
Inspired by the above Definition 6, we will now introduce a new weighted generalized fractional integral operator in Definition 7 below.
Definition 7.
The weighted generalized fractional integral operators are defined below for a given positive continuous function defined on an interval along with an increasing positive function having a continuous derivative and a positive function Φ that has an inverse on . We assume also that and define the operators for and as follows:
and
Remark 1.
- Taking for all in Definition 7, we obtain Definition 6.
- Taking and for all in Definition 7, we obtain Definition 5.
Remark 2.
Some important special cases of Definition 7, in which the function satisfies the conditions (8) to (11) are recorded here as follows:
- (I)
- Let . Thenandfor all where .
- (II)
- Let and Thenandfor all where .
- (III)
- For and we haveandfor all where .
- (IV)
- For and we haveandfor all where .
- (V)
- Taking and we haveandfor all where .
- (VI)
- Choosing and we obtainandfor all where
We now explore some more special cases of Definition 7 by applying different conditions of and , where the function satisfies the conditions (8) to (11).
Remark 3.
- (I)
- Taking and we haveandfor all where .
- (II)
- For and we haveandfor all where .
- (III)
- For and and we haveandfor all where .
- (IV)
- For and we haveandfor all where .
- (V)
- For , and we haveandfor all where .
- (VI)
- For and we haveandfor all where .
3. Main Results
We make the following assumptions for the rest of this paper: is a set of non-negative real numbers and satisfies Conditions (8) to (11). Additionally, and are positive real numbers with , and is a positive function with an inverse .
Theorem 1.
Assuming that is an increasing positive function with a continuous derivative on and and , consider the positive functions and defined on such that
for all If
where then
Proof.
Using the condition where we have
Consequently, upon integration over , we get
Hence, clearly, we obtain
In a similar way as above and using the condition where we have
Consequently, we get
which, upon multiplication of both sides of
with , and integrating the obtained results over , yields
Corollary 1.
Suppose that the assumptions of Theorem 1 are satisfied with
Then
for all where .
Corollary 2.
Suppose that the conditions of Theorem 1 are satisfied with
Then
for all where
We now state and prove Theorem 2 below.
Theorem 2.
Assuming that is an increasing positive function with a continuous derivative and that let and be positive functions on such that
for all If
where then
Proof.
Next, by using the hypotheses of the Minkowski inequality to the right-hand side of (48), we have
which implies that
Corollary 3.
Under the hypotheses of Theorem 2 with
it is asserted that
for all where .
Corollary 4.
Suppose that the assumptions of Theorem 2 with
are satisfied. Then
for all where
Theorem 3.
Assume that is an increasing positive function with a continuous derivative and let
and . Also let and be positive functions defined on such that
for all If
where then
Proof.
Since where we have
It follows that
Upon multiplication of both sides of (50) by
with , if we integrate the obtained results over , we have
Consequently, we obtain
Thus, if where then
which readily yields
Corollary 5.
Let the assumptions of Theorem 3 with
be satisfied. Then
for all where .
Corollary 6.
If the conditions of Theorem 3 with
are satisfied, then
for all where
Theorem 4.
Suppose that is an increasing positive function with a continuous derivative and
and . Let and be positive functions defined on satisfying the following conditions:
for all If
where then
Proof.
Since where we have
Upon multiplication of both sides of (54) by
with , if we integrate the obtained results over , we get
Consequently, if where then
We first multiply both sides of (56) by
with and then integrate the obtained results over . We thus find that
Now, in view of Young’s inequality, we have
Upon multiplication of both sides of (58) by
with , and then integrating the obtained results over , we obtain
Finally, since
in (60), we get the desired result asserted by Theorem 4. □
Corollary 7.
Suppose that the conditions of Theorem 4 with
are satisfied. Then
for all where .
Corollary 8.
Assume that the conditions of Theorem 4 with
are satisfied. Then
for all where
Theorem 5.
Let be an increasing positive function having a continuous derivative with and . Assume that and are positive functions on such that
for all If
where then
Proof.
Since
where we have
which implies that
Furthermore, we obtain
Hence, clearly, we find that
Moreover, we have
which implies that
Upon multiplication of both sides of (62) by
with , if we then integrate the obtained results over , we have
Again, if we first multiply both sides of (63) by
with , and then integrate the obtained results over , we get
Corollary 9.
If the conditions of Theorem 5 with
are satisfied, then
for all where .
Corollary 10.
Let the conditions of Theorem 5 with
be satisfied. Then
for all where
Theorem 6.
Suppose that is an increasing positive function with a continuous derivative where and . Let and be positive functions on that satisfy the following conditions:
for all If
where then
Proof.
Given the stated assumptions, it follows that
Corollary 11.
Under the hypotheses of Theorem 6 with
it is asserted that
for all where .
Corollary 12.
Let the assumptions of Theorem 6 with
be satisfied. Then
for all where
Theorem 7.
Let be an increasing positive function having a continuous derivative with and . Assume that and are two positive functions on such that
for all . If
where then
Proof.
Since
where we have
and
Again, if we multiply the inequality (74) by
with , and integrate the obtained results over , the proof of Theorem 7 is concluded. □
Corollary 13.
Suppose that the assumptions of Theorem 7 with
are satisfied. Then
for all where .
Corollary 14.
Assume that the conditions of Theorem 7 with
are satisfied. Then
for all where
Theorem 8.
Let be an increasing positive function having a continuous derivative with and . Assume that and are positive functions on such that
for all If
where then
where
Proof.
Since
where we have
We also find from the inequality (75) that
Similarly, we have
which leads us to the following inequality:
In a similar manner, from the inequality (76), we obtain
Corollary 15.
Let the hypotheses of Theorem 8 with
be satisfied. Then
for all where .
Corollary 16.
If the conditions of Theorem 8 with
are satisfied, then
for all where
Remark 4.
For suitable choices of function, i.e., , interested researchers can obtain similar results as are obtained for all the above theorems.
4. A Set of Examples
In this section, we choose to present each of the following illustrative examples of the findings in this paper.
Example 1.
For all and let us assume that and . Then
Proof.
By selecting
we obtain and respectively. The proof follows by implementing Theorem 1. □
Example 2.
For any let and suppose that and Then
Proof.
By putting
we obtain and respectively. The proof follows now by applying Theorem 3. □
Example 3.
For any let Then, for all and the following inequality holds true:
Proof.
By putting we find that and respectively. The proof follows by implementing Theorem 4. □
Example 4.
For any and and for all and it is asserted that
Proof.
By setting we see that and respectively. The proof follows by implementing Theorem 5. □
Example 5.
For any where and with the following inequality holds true:
Proof.
By choosing we obtain and respectively. The proof follows by applying Theorem 6. □
5. Applications Involving the Digamma Functions
In this section, before giving some applications regarding Digamma function, let us recall the following definition and theorem.
Definition 8
([53]). The Digamma (or the ψ-) function defined for all real or complex by
is known to be strictly increasing and strictly concave on the interval . Here, is the widely-recognized Gamma function defined for all real or complex .
We recall the following well-known asymptotic expansion as Laurent series (see, for example, [53]; see also page 433 in [54]):
which shows clearly that for every
Theorem 9
([55]). For every the following inequality holds true:
Using Theorem 9 and the fact that for every we can deduce the following results.
Proof.
By selecting
we have respectively. Thus, by utilizing Theorem 9 in Theorem 1, the intended outcome is achieved. □
Proposition 1.
Let with and Then, for any and the following inequality is valid:
Proof.
By setting we get respectively. Therefore, by applying Theorem 9 to Theorem 2, the intended outcome is achieved. □
Proposition 2.
Suppose that with and Then, for any and the following inequality is valid:
Proof.
By choosing we obtain respectively. So, by utilizing Theorem 9 in Theorem 3, the intended outcome is achieved. □
Proposition 3.
Suppose that with and Then, for any and the following inequality is valid:
Proof.
By putting we obtain respectively. Therefore, by utilizing Theorem 9 in Theorem 4, the intended outcome is achieved. □
6. Conclusions
The study highlights the relevance of the weighted fractional integral operators and their application in establishing reverse Minkowski inequalities. Additionally, the manuscript also mentions various novel applications and examples involving Digamma functions for suitable functions. Future research aims to integrate these operators with existing mathematical concepts, such as Chebyshev, Markov, and Minkowski inequalities, utilizing advanced tools like quantum calculus and interval-valued analysis. The objective is to enhance the effectiveness and applicability of the newly developed operators by incorporating special functions.
We conclude this presentation by drawing the attention of the interested reader toward some recent developments (see, for example, [56,57,58]) on the reverse Minkowski-type and other types of integral inequalities.
Author Contributions
Conceptualization, S.K.S. and P.O.M.; Data curation, H.M.S.; Formal analysis, A.K.; Funding acquisition, S.K.S.; Investigation, H.M.S., S.K.S., P.O.M., A.K. and N.C.; Methodology, S.K.S. and A.K.; Project administration, H.M.S. and P.O.M.; Resources, N.C.; Software, S.K.S.; Supervision, H.M.S.; Validation, A.K.; Visualization, N.C.; Writing—original draft, S.K.S. and P.O.M.; Writing—review & editing, A.K. and N.C. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Acknowledgments
Researchers Supporting Project number (RSP2023R153), King Saud University, Riyadh, Saudi Arabia.
Conflicts of Interest
The authors declare no conflict of interest.
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