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Research article Special Issues

Fractional optimal control analysis of Covid-19 and dengue fever co-infection model with Atangana-Baleanu derivative

  • Received: 05 December 2023 Revised: 27 December 2023 Accepted: 08 January 2024 Published: 25 January 2024
  • MSC : 34H05, 49K15, 49K40

  • A co-infection with Covid-19 and dengue fever has had worse outcomes due to high mortality rates and longer stays either in isolation or at hospitals. This poses a great threat to a country's economy. To effectively deal with these threats, comprehensive approaches to prevent and control Covid-19/dengue fever co-infections are desperately needed. Thus, our focus is to formulate a new co-infection fractional model with the Atangana-Baleanu derivative to suggest effective and feasible approaches to restrict the spread of co-infection. In the first part of this paper, we present Covid-19 and dengue fever sub-models, as well as the co-infection model that is locally asymptotically stable when the respective reproduction numbers are less than unity. We establish the existence and uniqueness results for the solutions of the co-infection model. We extend the model to include a vaccination compartment for the Covid-19 vaccine to susceptible individuals and a treatment compartment to treat dengue-infected individuals as optimal control strategies for disease control. We outline the fundamental requirements for the fractional optimal control problem and illustrate the optimality system for the co-infection model using Pontraygin's principle. We implement the Toufik-Atangana approximating scheme to simulate the optimality system. The simulations show the effectiveness of the implemented strategy in determining optimal vaccination and treatment rates that decrease the cost functional to a minimum, thus significantly decreasing the number of infected humans and vectors. Additionally, we visualize a meaningful decrease in infection cases with an increase in the memory index. The findings of this study will provide reasonable disease control suggestions to regions facing Covid-19 and dengue fever co-infection.

    Citation: Asma Hanif, Azhar Iqbal Kashif Butt, Tariq Ismaeel. Fractional optimal control analysis of Covid-19 and dengue fever co-infection model with Atangana-Baleanu derivative[J]. AIMS Mathematics, 2024, 9(3): 5171-5203. doi: 10.3934/math.2024251

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  • A co-infection with Covid-19 and dengue fever has had worse outcomes due to high mortality rates and longer stays either in isolation or at hospitals. This poses a great threat to a country's economy. To effectively deal with these threats, comprehensive approaches to prevent and control Covid-19/dengue fever co-infections are desperately needed. Thus, our focus is to formulate a new co-infection fractional model with the Atangana-Baleanu derivative to suggest effective and feasible approaches to restrict the spread of co-infection. In the first part of this paper, we present Covid-19 and dengue fever sub-models, as well as the co-infection model that is locally asymptotically stable when the respective reproduction numbers are less than unity. We establish the existence and uniqueness results for the solutions of the co-infection model. We extend the model to include a vaccination compartment for the Covid-19 vaccine to susceptible individuals and a treatment compartment to treat dengue-infected individuals as optimal control strategies for disease control. We outline the fundamental requirements for the fractional optimal control problem and illustrate the optimality system for the co-infection model using Pontraygin's principle. We implement the Toufik-Atangana approximating scheme to simulate the optimality system. The simulations show the effectiveness of the implemented strategy in determining optimal vaccination and treatment rates that decrease the cost functional to a minimum, thus significantly decreasing the number of infected humans and vectors. Additionally, we visualize a meaningful decrease in infection cases with an increase in the memory index. The findings of this study will provide reasonable disease control suggestions to regions facing Covid-19 and dengue fever co-infection.



    The following abbreviations are used in this manuscript:

    H-HHermite-HadamardH-H-MHermite-Hadamard-MercerH-H-FHermite-Hadamard-Fejér

    In science, convex functions have a long and distinguished history, and they have been the focus of study for almost a century. The rapid growth of convexity theory and applications of fractional calculus has kept the interest of a number of researchers on integral inequalities. Inequalities such as the H-H type, the Ostrowski-type, the H-H-M type, the Opial type, and other types, by using convex functions have been the focus of research for many years. The H-H inequality given in [1] has piqued the curiosity of most academics among all of these integral inequalities. Dragomir et al. [2] and Kirmaci et al. [3] presented some trapezoidal type inequalities and also some applications to special means. Following these articles, several mathematicians proposed new refinements of the Hermite-Hadamard inequality for various classes of convex functions and mappings such as quasi convex function [4], convex functions [5], m-convex functions [6], s-type convex functions of Raina type [7], σ-s-convex function [8] and harmonically convex functions [9]. Recently, this inequality was also investigated via different fractional integral operators, like Riemann-Liouville [10], ψ-Riemann-Liouville [11], Proportional fractional [12,13], k-Riemann-Liouville [14], Caputo-Fabrizio [15,16], generalized Atangana-Baleanu operator [17] to name a few.

    It is important to emphasise that Leibniz and L'Hospital are credited with developing the idea of fractional calculus (1695). Other mathematicians, such as Riemann, Liouville, Letnikov, Erdéli, Grünwald, and Kober, have made significant inputs to the field of fractional calculus and its numerous applications. Many physical and engineering experts are interested in fractional calculus because of its behaviour and capacity to address a wide range of practical issues. Fractional calculus is currently concerned with the study of so-called fractional order integral and derivative functions over real and complex domains, as well as its applications. In many cases, fractional analysis requires the use of arithmetic from classical analysis to produce more accurate conclusions. Numerous mathematical models can be handled by differential equations of fractional order. Fractional mathematical models have more conclusive and precise results than classical mathematical models because they are particular examples of fractional order mathematical models. In classical analysis, integer orders do not serve as an adequate representation of nature. By using mathematical modelling, it is possible to identify the endemics' unique transmission dynamics and get insight into how infection impacts a new population. To enhance the actual phenomena to a higher degree of precision and accuracy, non-integer order fractional differential equations (FDEs) are applied. Additionally, [18,19,20,21,22] use and reference their utilization of fractional calculus. Other interesting results for fractional calclus can be found in [23,24,25]. However, fractional computation enables us to consider any number of orders and formulate far more measurable objectives. In recent years, mathematicians have become more and more interested in presenting well-known inequalities using a variety of novel theories of fractional integral operators. There are several different integral inequality results for fractional integrals. For generalizing significant and well-known integral inequalities, these operators are helpful. The Hermite-Hadamard integral inequality is a particular type of integral inequality. It is frequently used in the literature and outlines the necessary and sufficient conditions for a function to be convex. The Hermite-Hadamard inequalities were generalized by Sarikaya et al. [10] using Riemann-Liouville fractional integrals. Işcan [26] expanded Sarikaya et al. [10] 's findings to include Hermite-Hadamard-Fejer-type inequalities. By utilizing the product of two convex functions, Chen [27] produced fractional Hermite-Hadamard-type integral inequalities. Ögülmüs et al. [28] incorporated the Hermite-Hadamard and Jensen-Mercer inequalities to present Hermite-Hadamard-Mercer type inequalities for Riemann-Liouville fractional integrals. Motivated by the above articles, Butt et al. (see [29]), presented new versions of Jensen and Jensen-Mercer type inequalities in the fractal sense. New fractional versions of Hermite-Hadamard-Mercer and Pachpatte-Mercer type inclusions are established for convex [30] and harmonically convex functions [31] respectively. Latif et al. [32] established Hermite-Hadamard-Fejér type inequalities for convex harmonic and a positive symmetric increasing function. New refinements of Hermite-Mercer type inequalities are presented in [33], Mercer-Ostrowski type inequalities are presented in [34]. Further, the Hermite-Hadamard inequality is also generalized for convexity and quasi convexity [35] and differentiable convex functions [36]. For further information on other fractional-order integral inequalities, see the papers [37,38,39,40,41].

    Definition 1.1. (see [42]) Let G:XR be a function and X be a convex subset of a real vector space R. Then we say that the function G is convex if and only if the following condition:

    G(Φr+(1Φ)s)ΦG(r)+(1Φ)G(s),

    holds true for all r,sX and Φ[0,1].

    For further discussion, we first present the classical Hermite-Hadmard (H-H) inequality, which states that (see [1]):

    If the function G:XRR is convex in X for r,sX and r<s, then

    G(r+s2)1srsrG(x)dxG(r)+G(s)2. (1.1)

    Definition 1.2. (see [43]) Let there be a function G:[r,s][0,) and it is symmetric with respect to r+s2, if

    G(r+sx)=G(x).

    In 1906, Fejér [44] preposed the following weighted variant of Hermite-Hadamard inequality famously known as Hermite-Hadamard-Fejér inequality, given as

    Theorem 1.1. Let there be a convex function G:[r,s]R{0}R with r<s. If D:[r,s]R{0}R be a convex symmetric and integrable function with respect to r+s2. Then

    G(r+s2)srD(x)dx1srsrG(x)D(x)dxG(r)+G(s)2srD(x)dx, (1.2)

    holds true.

    Definition 1.3. (see [9]) Let G:XR be a function and X be a subset of a real vector space R. Then we say that the function G is harmonically convex if and only if the following condition

    G(rsΦr+(1Φ)s)ΦG(s)+(1Φ)G(r),

    holds true for all r,sX and Φ[0,1].

    For further discussion, we first present the classical Hermite-Hadmard (H-H) inequality, which states that (see [9]):

    If the function G:XRR is harmonically convex in X for r,sX and r<s, then

    G(2rsr+s)rssrsrG(x)x2dxG(r)+G(s)2. (1.3)

    Definition 1.4. (see [45]) Let there be a function G:[r,s][0,) and it is harmonically symmetric with respect to 2rsr+s, if

    G(Φ)=G(11r+1s1Φ).

    In the year 2014, Chen and Wu [46] proposed the following weighted variant of Hermite-Hadamard inequality for harmonically convex function, given as

    Theorem 1.2. Let there be a convex function G:[r,s]R{0}R with r<s. If D:[r,s]R{0}R be a convex symmetric and integrable function with respect to r+s2. Then,

    G(2rsr+s)srD(x)x2dxrssrsrG(x)D(x)x2dxG(r)+G(s)2srD(x)x2dx, (1.4)

    holds true.

    Definition 1.5. (see, for details, [10,47]; see also [48]) Let \(\mathscr{G} \in \mathcal{L} \left\lbrack \mathfrak{r}, \ \mathfrak{s} \right\rbrack\). Then, the Riemann-Liouville fractional integrals of the order α>0, are defined as follows:

    Iαr+G(x)=1Γ(α)xr(xm)α1G(m)dm(x>r),

    and

    IαsG(x)=1Γ(α)sx(mx)α1G(m)dm(x<s),

    respectively, where \(\Gamma\left(\alpha \right) = \int_{0}^{\infty}{\Phi^{\alpha - 1}e^{- \Phi}}{d\Phi}\) is the Euler gamma function.

    Definition 1.6. (see, [49] for details) Let GL[r,s]. Then, the new left and right fractional integrals Iαr+ and Iαs of order α>0 are defined as

    Iαr+G(x):=1αxre1αα(xm)G(m)dm(0r<x<s),

    and

    IαsG(x):=1αsxe1αα(mx)G(m)dm(0r<x<s),

    respectively.

    It should be noted that

    limα1Iαr+G(x)=xrG(m)dm and limα1IαsG(x)=sxG(m)dm.

    Sarikaya et al. [37], in their article proved some interesting mid-point type Hermite-Hadamard inequalities. Here, we present one of his main results as follows:

    Theorem 1.3. (see [37]) Let G:[r,s]R be a convex function with 0rs. If GL[r,s], then the following inequality for Riemann-Liouville fractional integral operator holds true:

    G(r+s2)2α1Γ(α+1)(sr)α[Iα(r+s2)+G(s)+Iα(r+s2)G(r)]G(r)+G(s)2.

    The major goal of this paper is to establish Fejér type fractional inequalities using differintegrals of the (r+s2) type for both convex and harmonically convex functions via a novel fractional integral operator. In order to derive those inequalities, first we prove two new lemmas i.e., Lemmas 2.1 and 3.1 for convex and harmonic convex functions respectively.

    In this study, we used a new fractional integral operator to achieve more generalized results. This is caused by the exponential function that makes up the kernel of this fractional operator. Our results differ from prior generalizations in that they do not lead to the aforementioned fractional integral inequalities. Numerous experts have suggested utilizing different fractional integral operators to extend the Hermite-Hadamard and Fejér type inequalities, however, none of their findings exhibit an exponential property. This study generated interest in using an exponential function as the kernel to create more generalized fractional inequalities. Furthermore, the application of symmetric and harmonically symmetric functions to the main results gives the study of inequalities a new path. For other generalization regarding exponential kernel interested reader can see e.g., on distributed-order fractional derivative in [50]. There are many research gaps to be filled for integral inequalities involving fractional calculus for different types of convex functions, despite the fact that there exist many different forms of research on the growth of fractional integral inequalities. As a result, the main purpose of this research is to find new Hermite-Hadamard and Fejér type inequalities for positive symmetric functions using fractional integral operators.

    Our present investigation is structured as follows. In Sections 2 and 3, we discuss two additional characteristics of the relevant fractional operator before proving some enhanced versions (mid-point types) of the Fejér and Hermite-Hadamard type inequalities for convex and harmonically convex functions respectively. Some applications are also taken into consideration in Section 4 to determine whether the predetermined results are appropriate. Section 5 explores a brief conclusion and possible areas for additional research that is related to the findings in this paper are discussed in Section 6.

    In this section for simplicity, we denote ρc=1αα(sr). If α1, then ρc=1αα(sr)0.

    Lemma 2.1. Let D:[r,s]R{0}R be a symmetric convex function with respect to r+s2. Then for α>0, the following equality holds true:

    Ir+s2+D(s)=Ir+s2D(r)=12[Ir+s2D(r)+Ir+s2+D(s)].

    Proof. Since D:[r,s]R{0}R is integrable and symmetric to r+s2 we have D(r+sx)=D(x). Also, Setting Φ=r+sx and dΦ=dx, we have

    Ir+s2+D(s)=1αsr+s2e1αα(sΦ)D(Φ)dΦ=1αrr+s2e1αα(s(r+sx))D(r+sx)dx=1αr+s2re1αα(xr)D(r+sx)dx=1αr+s2re1αα(xr)D(x)dx=Iαr+s2D(r).
    Ir+s2+D(s)=Ir+s2D(r)=12[Ir+s2D(r)+Ir+s2+D(s)].

    This led us to the desired equality.

    First, we prove both the first and second kind Fejér type inequalities in a different approach. Then, we also prove the Hermite-Hadamard inequality using symmetric convex functions.

    Theorem 2.1. Let there be a convex function G:[r,s]R{0}R with r<s. If D:[r,s]R{0}R be a convex symmetric and integrable function with respect to r+s2. Then for α>0, the following inequality holds true:

    G(r+s2)[Iαr+s2D(r)+Iαr+s2+D(s)][Iαr+s2(GD)(r)+Iαr+s2+(GD)(s)].

    Proof. Using the convexity of G on [r,s], we have

    2G(r+s2)G(Φr+(1Φ)s)+G(Φs+(1Φ)r). (2.1)

    Upon multiplication of both sides of the inequality (2.1) by e1αα(sr)ΦD(Φs+(1Φ)r) and then integrating the resultant over [0,12], we obtain

    2G(r+s2)120e1αα(sr)ΦD(Φs+(1Φ)r)dΦ120e1αα(sr)ΦG(Φr+(1Φ)s)D(Φs+(1Φ)r)dΦ+120e1αα(sr)ΦG(Φs+(1Φ)r)D(Φs+(1Φ)r)dΦ. (2.2)

    Since D is symmetric with respect to r+s2, we have D(x)=D(r+sx).

    Moreover, setting x=Φs+(1Φ)r and dx=(sr)dΦ in (2.2), we have

    2G(r+s2)1srr+s2re1αα(xr)D(x)dx=2G(r+s2)αsr[Iαr+s2D(r)]1srr+s2re1αα(xr)G(r+sx)D(x)dx+1srr+s2re1αα(xr)G(x)D(x)dx=1srsr+s2e1αα(sx)G(x)D(r+sx)dx+1srr+s2re1αα(xr)G(x)D(x)dx=αsr[1αsr+s2e1αα(sx)G(x)D(x)dx+1αr+s2re1αα(xr)G(x)D(x)dx].

    It follows from the above developments and Lemma 2.1 that,

    αsrG(r+s2)[Iαr+s2D(r)+Iαr+s2+D(s)]αsr[Iαr+s2(GD)(r)+Iαr+s2+(GD)(s)].

    This concludes the proof of the required result.

    Example 2.1. Let G(m)=em, m[1,9] and D(m)=(5m)2, is non-negative symmetric about m=5. Let 0<α<1, then

    G(r+s2)[Iαr+s2D(r)+Iαr+s2+D(s)]=e5[Iα5D(1)+Iα5+D(9)]=e5[1α51e1αα(m1)(5m)2dm+1α95e1αα(9m)(5m)2dm].

    and

    Iαr+s2(GD)(r)+Iαr+s2+(GD)(s)=Iα5(GD)(1)+Iα5+(GD)(9)=1α51e1αα(m1)em(5m)2dm+1α95e1αα(9m)em(5m)2dm.

    The graphical representation of Theorem 2.1 is shown in the graph below (see Figure 1) for 0<α<1:

    Figure 1.  The graphical representation of Theorem 2.1 for 0<α<1.

    Theorem 2.2. Let there be a convex function G:[r,s]R{0}R with r<s. If D:[r,s]R{0}R be a convex symmetric and integrable function with respect to r+s2. Then for α>0, the following inequality holds true:

    [Iαr+s2(GD)(r)+Iαr+s2+(GD)(s)]G(r)+G(s)2[Iαr+s2(D)(r)+Iαr+s2+(D)(s)].

    Proof. Since G is convex function, we have

    G(Φr+(1Φ)s)+G(Φs+(1Φ)r)G(r)+G(s). (2.3)

    Multiplying both side of the above inequality (2.3) by e1αα(sr)ΦD(Φs+(1Φ)r) and upon integration of the obtained result over [0,12], one has

    120e1αα(sr)ΦG(Φr+(1Φ)s)D(Φs+(1Φ)r)dΦ+120e1αα(sr)ΦG(Φs+(1Φ)r)D(Φs+(1Φ)r)dΦ[G(r)+G(s)]120e1αα(sr)ΦD(Φs+(1Φ)r)dΦ.

    It follows

    αsr[Iαr+s2(GD)(r)+Iαr+s2+(GD)(s)]α[G(r)+G(s)]sr[Iαr+s2(D)(r)].

    Furthermore, using the Lemma 2.1, we obtain

    αsr[Iαr+s2(GD)(r)+Iαr+s2+(GD)(s)]G(r)+G(s)2αsr[Iαr+s2(D)(r)+Iαr+s2+(D)(s)].

    This concludes the proof of the desired result.

    Example 2.2. Let G(m)=em, m[1,9] and D(m)=(5m)2, is non-negative symmetric about m=5. Let 0<α<1, then

    e+e92[Iαr+s2(D)(r)+Iαr+s2+(D)(s)]=e+e92[Iα5D(1)+Iα5+D(9)]=e+e92[1α51e1αα(m1)(5m)2dm+1α95e1αα(9m)(5m)2dm].

    And

    Iαr+s2(GD)(r)+Iαr+s2+(GD)(s)=Iα5(GD)(1)+Iα5+(GD)(9)=1α51e1αα(m1)em(5m)2dm+1α95e1αα(9m)em(5m)2dm.

    The graphical representation of Theorem 2.2 is shown in the graph below (see Figure 2) for 0<α<1:

    Figure 2.  The graphical representation of Theorem 2.2 for 0<α<1.

    Theorem 2.3. Let there be a convex function G:[r,s]R{0}R with r<s. Then for α>0, the following fractional integral inequality holds true:

    G(r+s2)1α2(1eρc2)[Iαr+s2G(r)+Iαr+s2+G(s)]G(r)+G(s)2. (2.4)

    Proof. By the hypothesis of convexity, we have

    G(r+s2)=G(Φr+(1Φ)s+Φs+(1Φ)r2)G(Φr+(1Φ)s)+G(Φs+(1Φ)r)2. (2.5)

    Upon multiplication of both sides of the inequality (2.5) by 2e1αα(sr)Φ and then integrating the obtained result over [0,12], we have

    2G(r+s2)120e1αα(sr)ΦdΦ120e1αα(sr)ΦG(Φr+(1Φ)s)dΦ+120e1αα(sr)ΦG(Φs+(1Φ)r)dΦ. (2.6)

    Furthermore, let m=Φs+(1Φ)rdΦ=dmsr. Then inequality (2.6) gives

    2(1eρc2)ρG(r+s2)[1srr+s2re1αα(sr)mrsrG(r+sm)dm+1srr+s2re1αα(sr)mrsrG(m)dm]=αsr[1αsr+s2e1αα(sm)G(m)dm+1αr+s2re1αα(mr)G(m)dm]=αsr[Iαr+s2G(r)+Iαr+s2+G(s)]. (2.7)

    This concludes the proof of the first part of the inequality (2.4). To prve the next part of inequality, under the given hypothesis, we have

    G(Φr+(1Φ)s)+G(Φs+(1Φ)r)G(r)+G(s). (2.8)

    Upon multiplication of both sides of the inequality (2.8) by e1αα(sr)Φ and integrating over [0,12], we have

    120e1αα(sr)ΦG(Φr+(1Φ)s)dΦ+120e1αα(sr)ΦG(Φs+(1Φ)r)dΦ[G(r)+G(s)]120e1αα(sr)ΦdΦ.

    Consequently, we obtain

    αsr[Iαr+s2G(r)+Iαr+s2+G(s)]G(r)+G(s)22(1eρc2)ρc. (2.9)

    Consequently, it follows from the above developments (2.7) and (2.9) that

    G(r+s2)1α2(1eρc2)[Iαr+s2G(r)+Iαr+s2+G(s)]G(r)+G(s)2.

    This concludes the proof of the required result.

    Remark 2.1. If one chooses α1 i.e., ρc20, then

    limα11α2(1eρc2)=1sr

    and hence Theorem 2.3 retrieves the classical Hermite-Hadamard inequality (1.1).

    Example 2.3. Let G(m)=em, m[1,9] and 0<α<1, then

    G(r)+G(s)2=e+e92,
    G(r+s2)=e5

    and

    1α2(1eρc2)[Iαr+s2G(r)+Iαr+s2+G(s)]=1α2(1e4(1α)α)[Iα5(G)(1)+Iα5+(G)(9)]=1α2(1e4(1α)α)[1α51e1αα(m1)emdm+1α95e1αα(9m)emdm].

    The graphical representation of Theorem 2.3 is shown in the graph below (see Figure 3) for 0<α<1:

    Figure 3.  The graphical representation of Theorem 2.3 for 0<α<1.

    The family of Lebesgue measurable functions is represented here by \(\mathcal{L} \left\lbrack \mathfrak{r}, \mathfrak{s} \right\rbrack \). In this section, for brevity we use, ρh=1ααsrrs wherever needed. If α1, then ρh=1ααsrrs0.

    Lemma 3.1. Let D:[r,s]R{0}R be a harmonically symmetric and integrable function with respect to 2rsr+s. Then for α>0, the following equality holds true:

    Iαr+s2rs+DK(1r)=Iαr+s2rsDK(1s)=12[Iαr+s2rs+DK(1r)+Iαr+s2rsDK(1s)],

    where K(x)=1x,x[1s,1r].

    Proof. Let D be a harmonically symmetric function with respect to 2rsr+s. Then using the harmonically symmetric property of D, given as D(1Φ)=D(11r+1sΦ) for α>0.

    Iαr+s2rs+DK(1r)=1α1rr+s2rse1αα(1rΦ)D(1Φ)dΦ=1α1rr+s2rse1αα(1rΦ)D(11r+1sΦ)dΦ=1α1sr+s2rse1αα(x1s)D(1x)dx=1αr+s2rs1se1αα(x1s)D(1x)dx=Iαr+s2rsDK(1s).

    Consequently, it follows from the above developments that

    Iαr+s2rs+DK(1r)=Iαr+s2rsDK(1s)=12[Iαr+s2rs+DK(1r)+Iαr+s2rsDK(1s)],

    where K(x)=1x,x[1s,1r].

    Now, we use the above result to produce new Hadamard-Fejér type inequalities of both first and second kind for harmonically convex functions.

    Let us begin with the Hadamard-Fejér type inequality of the first kind.

    Theorem 3.1. Let there be a harmonically convex function G:[r,s]R{0}R with r<s. If D:[r,s]R{0}R be a harmonically symmetric and integrable function with respect to 2rsr+s. Then for α>0, the following inequality holds true:

    G(2rsr+s)[Iαr+s2rsDK(1s)+Iαr+s2rs+DK(1r)][Iαr+s2rsGDK(1s)+Iαr+s2rs+GDK(1r)].

    Proof. Since G is harmonically convex function on [r,s], we have

    G(2rsr+s)G(rsΦr+(1Φ)s)+G(rsΦs+(1Φ)r)2.

    Multiplying both side by 2e1ααsrrsΦD(rsΦs+(1Φ)r) and then integrating over [0,12], we find

    2G(2rsr+s)120e1ααsrrsΦD(rsΦs+(1Φ)r)dΦ120e1ααsrrsΦD(rsΦs+(1Φ)r)G(rsΦr+(1Φ)s)dΦ+120e1ααsrrsΦD(rsΦs+(1Φ)r)G(rsΦs+(1Φ)r)dΦ.

    Since, D is harmonically symmetric with respect to 2rsr+s i.e

    D(1x)=D(11r+1sx).

    Also, setting x=Φs+(1Φ)rrs dΦ=rssrdx the above developments proceed as follows:

    α2rssrG(2rsr+s)1αr+s2rs1se1αα(x1s)D(1x)dxαrssr[1αr+s2rs1se1αα(x1s)G(11r+1sx)D(1x)dx+1αr+s2rs1se1αα(x1s)G(1x)D(1x)dx]=αrssr[1α1rr+s2rse1αα(1rx)G(1x)D(11r+1sx)dx+1αr+s2rs1se1αα(x1s)G(1x)D(1x)dx]=αrssr[1α1rr+s2rse1αα(1rx)G(1x)D(1x)dx+1αr+s2rs1se1αα(x1s)G(1x)D(1x)dx]=αrssr[Iαr+s2rsGDK(1s)+Iαr+s2rs+GDK(1r)].

    From the above developments and Lemma 3.1, we have

    αrssrG(2rsr+s)[Iαr+s2rsDK(1s)+Iαr+s2rs+DK(1r)]αrssr[Iαr+s2rsGDK(1s)+Iαr+s2rs+GDK(1r)].

    This concludes the proof of the required result.

    Example 3.1. Let G(m)=m2, m[1,4], D(m)=(5m88m)2 and 0<α<1, then

    G(2rsr+s)[Iαr+s2rsDK(1s)+Iαr+s2rs+DK(1r)]=6425[1α5814e1αα(m14)(58m8)2dm+1α158e1αα(1m)(58m8)2dm]

    and

    Iαr+s2rsGDK(1s)+Iαr+s2rs+GDK(1r)=Iα58GDK(14)+Iα58+GDK(1)=1α5814e1αα(m14)(1m)2(58m8)2dm+1α158e1αα(1m)(1m)2(58m8)2dm.

    The graphical representation of Theorem 3.1 is shown in the graph below (see Figure 4) for 0<α<1:

    Figure 4.  The graphical representation of Theorem 3.1 for 0<α<1.

    Now, we will establish the Fejér type inequality of the second kind.

    Theorem 3.2. Let there be a harmonically convex function G:[r,s]R{0}R with r<s. If D:[r,s]R{0}R be a harmonically symmetric and integrable function with respect to 2rsr+s. Then for α>0, the following inequality holds true:

    [Iαr+s2rsGDK(1s)+Iαr+s2rs+GDK(1r)]G(r)+G(s)2[Iαr+s2rsDK(1s)+Iαr+s2rs+DK(1r)].

    Proof. Since G is harmonically convex function

    G(rsΦr+(1Φ)s)+G(rsΦs+(1Φ)r)G(r)+G(s).

    Multiplying both side by e1ααsrrsΦD(rsΦs+(1Φ)r) and then integrating the resultant over [0,12], we find

    120e1ααsrrsΦG(rsΦr+(1Φ)s)D(rsΦs+(1Φ)r)dΦ+120e1ααsrrsΦG(rsΦs+(1Φ)r)D(rsΦs+(1Φ)r)dΦ[G(r)+G(s)]120e1ααsrrsΦD(rsΦs+(1Φ)r)dΦ. (3.1)

    Setting x=Φs+(1Φ)rrs and D(1x)=D(11r+1sx) in (3.1), we have

    rssr[r+s2rs1se1αα(x1s)G(11r+1sx)D(1x)dxr+s2rs1se1αα(x1s)G(1x)D(1x)dx]=αrssr[1α1rr+s2rse1αα(1rx)G(1x)D(1x)dx+1αr+s2rs1se1αα(x1s)G(1x)D(1x)dx]=αrssr[Iαr+s2rsGDK(1s)+Iαr+s2rs+GDK(1r)]. (3.2)

    Also,

    [G(r)+G(s)]120e1ααsrrsΦD(rsΦs+(1Φ)r)dΦ=αrssr[G(r)+G(s)]1αr+s2rs1se1αα(x1s)D(1x)dx=αrssr[G(r)+G(s)][Iαr+s2rsDK(1s)]. (3.3)

    From the above developments (3.2), (3.3) and Lemma 3.1, we have

    αrssr[Iαr+s2rsGDK(1s)+Iαr+s2rs+GDK(1r)]αrssrG(r)+G(s)2[Iαr+s2rsDK(1s)+Iαr+s2rs+DK(1r)].

    This concludes the proof of the required result.

    Example 3.2. Let G(m)=m2, m[1,4], D(m)=(5m88m)2 and 0<α<1, then

    172[Iαr+s2rsDK(1s)+Iαr+s2rs+DK(1r)]=172[1α5814e1αα(m14)(58m8)2dm+1α158e1αα(1m)(58m8)2dm]

    and

    Iαr+s2rsGDK(1s)+Iαr+s2rs+GDK(1r)=Iα58GDK(14)+Iα58+GDK(1)=1α5814e1αα(m14)(58m8)4dm+1α158e1αα(1m)(58m8)4dm.

    The graphical representation of Theorem 3.2 is shown in the graph below (see Figure 5) for 0<α<1:

    Figure 5.  The graphical representation of Theorem 3.2 for 0<α<1.

    Theorem 3.3. Let there be a harmonically convex function G:[r,s]R{0}R with r<s. Then for α>0,

    G(2rsr+s)(1α)2(1eρh2)[Iαr+s2rs+GK(1r)+Iαr+s2rsGK(1s)]G(r)+G(s)2, (3.4)

    holds true.

    Proof. Since G is harmonically convex function on [r,s], we have

    G(2rsr+s)=G(2(rsΦr+(1Φ)s)(rsΦs+(1Φ)r)(rsΦr+(1Φ)s)+(rsΦs+(1Φ)r))G(rsΦr+(1Φ)s)+G(rsΦs+(1Φ)r)2. (3.5)

    Multiplying both side of the inequality (3.5) by 2e1ααsrrsΦ and integrating over [0,12], we obtain

    2G(2rsr+s)1/20e1ααsrrsΦdΦ1/20e1ααsrrsΦG(rsΦr+(1Φ)s)dΦ+1/20e1ααsrrsΦG(rsΦs+(1Φ)r)dΦ.

    Let m=Φs+(1Φ)rrs, then dm=srrsdΦ

    2(1eρh2)ρhG(2rsr+s)r+s2rs1se1ααsrrsrssr(m1s)(rssr)G(11r+1sm)dm+r+s2rs1se1ααsrrsrssr(m1s)(rssr)G(1m)dm=rssr[r+s2rs1se1αα(m1s)G(11r+1sm)dm+r+s2rs1se1αα(m1s)G(1m)dm]=rssr[1rr+s2rse1αα(1rm)G(1m)dm+r+s2rs1se1αα(m1s)G(1m)dm]=αrssr[Iαr+s2rs+GK(1r)+Iαr+s2rsGK(1s)]. (3.6)

    This gives us the first part of the inequality (3.4). Now, for the next part, we use the hypotheses of harmonically convex function i.e.

    G(rsΦr+(1Φ)s)+G(rsΦs+(1Φ)r)G(r)+G(s). (3.7)

    Multiplying both side of the above inequality (3.7) by e1ααsrrsΦ and then integrating the resultant over [0,1], we obtain

    120e1ααsrrsΦG(rsΦr+(1Φ)s)dΦ+120e1ααsrrsΦG(rsΦs+(1Φ)r)dΦ[G(r)+G(s)]120e1ααsrrsΦdΦ=2(1eρh2)ρhG(r)+G(s)2.

    Consequently from the first inequality (3.6), we have

    120e1ααsrrsΦG(rsΦr+(1Φ)s)dΦ+120e1ααsrrsΦG(rsΦs+(1Φ)r)dΦ=αrssr[Iαr+s2rs+GK(1r)+Iαr+s2rsGK(1s)]2(1eρh2)ρhG(r)+G(s)2. (3.8)

    From the above developments (3.6) and (3.8), it follows

    G(2rsr+s)(1α)2(1eρh2)[Iαr+s2rs+GK(1r)+Iαr+s2rsGK(1s)]G(r)+G(s)2.

    This concludes the proof of the required result.

    Remark 3.1. If one chooses α1 i.e., ρh20, then

    limα11α2(1eρh2)=rssr

    and hence Theorem 2.3 retrieves the classical Hermite-Hadamard inequality (1.3) for harmonically convex function.

    Example 3.3. Let G(m)=m2, m[1,4], K(m)=1m and 0<α<1, then

    G(2rsr+s)=6425,
    (1α)2(1eρh2)[Iαr+s2rs+GK(1r)+Iαr+s2rsGK(1s)]=(1α)2(1e3(1α)8α)[Iα58+GK(1r)+Iα58GK(1s)]=(1α)2(1e3(1α)8α)[1α5814e1αα(m14)(1m)2dm+1α158e1αα(1m)(1m)2dm]

    and

    G(r)+G(s)2=172.

    The graphical representation of Theorem 3.3 is shown in the graph below (see Figure 6) for 0<α<1:

    Figure 6.  The graphical representation of Theorem 3.3 for 0<α<1.

    Example 4.1. Let Cn be the set of n×n complex matrices, Mn denote the algebra of n×n complex matrices, and M+n denote the strictly positive matrices in Mn. That is, for any nonzero uCn, AM+n if Au,u>0.

    Sababheh [51], proved that G(κ)=∥AκXB1κ+A1κXBκ, A,BM+n,XMn is convex for all κ[0,1].

    Then, by using Theorem 2.3, we have

    Ar+s2XB1(r+s2)+A1(r+s2)XBr+s21α2(1eρc2)[Iαr+s2+AsXB1s+A1sXBs+Iαr+s2ArXB1r+A1rXBr]ArXB1r+A1rXBr+AsXB1s+A1sXBs2.

    Example 4.2. The q-digamma(psi) function ψΦ given as (see [52]):

    ψΦ(ζ)=ln(1Φ)+ lnΦk=0Φk+ζ1Φk+ζ    =ln(1Φ)+ lnΦk=1Φkζ1Φkζ.

    For Φ>1 and ζ>0, Φ-digamma function ψΦ can be given as:

    ψΦ(ζ)=ln(Φ1)+ lnΦ[ζ12k=0Φ(k+ζ)1Φ(k+ζ)]    =ln(Φ1)+ lnΦ[ζ12k=1Φkζ1Φkζ].

    If we set G(ζ)=ψΦ(ζ) in Theorem 2.3, then we have the following inequality.

    ψΦ(r+s2)1α2α(1eΦc2)[sr+s2e1αα(sm)ψΦ(m)dm+r+s2re1αα(mr)ψΦ(m)dm]ψΦ(r)+ψΦ(s)2.

    Modified Bessel functions

    Example 4.3. Let the function Jρ:R[1,) be defined [52] as

    Jρ(m)=2ρΓ(ρ+1)mρIρ(m),  mR.

    Here, we consider the modified Bessel function of first kind given in

    Jρ(m)=n=0(m2)ρ+2nn!Γ(ρ+n+1).

    The first and second order derivative are given as

    Jρ(m)=m2(ρ+1)Jρ+1(m).
    Jρ(m)=14(ρ+1)[u2(ρ+1)Jρ+2(m)+2Jρ+1(m)].

    If we use, G(m)=Jρ(m) and the above functions in Theorem 2.3, we have

    r+s2Jρ+1(r+s2)1α2α(1eρc2)[sr+s2e1αα(sm)mJρ+1(m)dm+r+s2re1αα(mr)mJρ+1(m)dm]rJρ+1(r)+sJρ+1(s)2.

    The use of fractional calculus for finding various integral inequalities via convex functions has skyrocketed in recent years. This paper addresses a novel sort of Fejér type integral inequalities. In order to generalize some H-H-F (Hermite-Hadamard-Fejér) type inequalities, a new fractional integral operator with exponential kernel is employed. New midpoint type inequalities for both convex and harmonically convex functions are studied. Applications related to matrices, q-digamma and modifed Bessel functions are presented as well.

    We will use our theories and methods to create new inequalities for future research by combining these new weighted generalized fractional integral operators with Chebyshev, Simpson, Jensen-Mercer Markov, Bullen, Newton, and Minkowski type inequalities. Quantum calculus, fuzzy interval-valued analysis, and interval-valued analysis can all be used to establish these kinds of inequalities. The idea of Digamma functions and other special functions will be integrated with this kind of inequality as the major focus. We also aim to find other novel inequalities using finite products of functions. In future, we will employ the concept of cr-order defined by Bhunia and Samanta [53] to present different inequalities for cr-convexity and cr-harmonically convexity [54].

    This research received funding support from the NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, (grant number B05F650018).

    The authors declare that there are no conflicts of interest regarding the publication of this paper.



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