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Refinements of some integral inequalities for unified integral operators
Journal of Inequalities and Applications volume 2021, Article number: 7 (2021)
Abstract
In this paper we are presenting the refinements of integral inequalities established for convex functions. Consequently, we get refinements of several fractional integral inequalities for different kinds of fractional integral operators.
1 Introduction
Integral operators are very useful in the theory of differential equations and boundary value problems. They are applied to formulate and solve mathematical models of real world problems; nowadays fractional integral operators are frequently studied to extend and generalize classical subjects. Fractional integral operators have converted the classical notions into modern concepts. In the recent past, fractional integral operators were utilized extensively to study the classical inequalities, see [2, 3, 6, 8, 9, 13, 14, 16–18, 20, 22] and the references therein.
The aim of this paper is to give several integral inequalities for strongly convex functions, resulting in refinements of the integral inequalities presented in [16], also [8, 9, 12]. For this purpose, we will need the following integral operators:
Definition 1
([15])
Let \(\tau _{1}:[a,b]\rightarrow \mathbb{R}\) be an integrable function. Also let \(\tau _{2}\) be an increasing and positive function on \((a, b]\), having a continuous derivative \(\tau '_{2}\) on \((a,b)\). The left- and right-sided fractional integrals of a function \(\tau _{1}\) with respect to another function \(\tau _{2}\) on \([a, b]\) of order μ where \(\Re (\mu )>0\) are defined by:
and
where \(\Gamma (\cdot )\) is the gamma function.
A k-analogue of the above definition is defined as follows:
Definition 2
([1])
Let \(\tau _{1}:[a,b]\rightarrow \mathbb{R}\) be an integrable function. Also let \(\tau _{2}\) be an increasing and positive function on \((a, b]\), having a continuous derivative \(\tau '_{2}\) on \((a,b)\). The left- and right-sided fractional integrals of a function \(\tau _{1}\) with respect to another function \(\tau _{2}\) on \([a, b]\) of order \({\mu }; \Re (\mu ), k>0\) are defined by:
where \(\Gamma _{k}(\cdot )\) is defined by [5]
The integral operators (1.3) and (1.4) produce several fractional integral operators, see [16, Remark 1]. A well-known Mittag-Leffler function is defined by [19]
where \(\alpha ,z\in \mathbb{C}\) and \(\Re {(\alpha )} > 0\).
This function has been extended and generalized in several different ways. In the following, we give a definition of an extended Mittag-Lefffler function with its corresponding fractional integral operator.
Definition 3
([2])
Let \(\omega , \mu , \alpha , l, \gamma , c\in \mathbb{C}\), \(\Re (\mu ), \Re (\alpha ), \Re (l)>0\), \(\Re (c)>\Re (\gamma )>0\) with \(p\geq 0\), \(\delta >0\) and \(0< k\leq \delta +\Re (\mu )\). Let \(\tau _{1}\in L_{1}[a,b]\) and \(x\in [a,b]\). Then the generalized fractional integral operators \(\epsilon _{\mu ,\alpha ,l,\omega ,a^{+}}^{\gamma ,\delta ,k,c}\tau _{1} \) and \(\epsilon _{\mu ,\alpha ,l,\omega ,b^{-}}^{\gamma ,\delta ,k,c}\tau _{1}\) are defined by:
where
is the extended Mittag-Leffler function.
Recently, a unified integral operator was defined, which unifies several fractional integrals in a compact formula as follows:
Definition 4
([11])
Let \(\tau _{1}, \tau _{2}:[a,b]\longrightarrow \mathbb{R}\), \(0< a< b\), be functions such that \(\tau _{1}\) is positive and \(\tau _{1}\in L_{1}[a, b]\) and \(\tau _{2}\) is differentiable and strictly increasing. Also let \(\frac{\phi }{x}\) be an increasing function on \([a,\infty )\) and \(\alpha , l, \gamma , c \in \mathbb{C}\), \(\Re (\alpha ), \Re (l)>0\), \(\Re (c)>\Re (\gamma )>0\), \(p, \mu , \delta \geq 0\), and \(0< k\leq \delta + \mu \). Then for \(x\in [a, b]\), the left and right integral operators are defined by
where \(K_{x}^{y}(E^{\gamma , \delta , k, c}_{\mu , \alpha , l},\tau _{2}; \phi )= \frac{\phi (\tau _{2}(x)-\tau _{2}(y))}{\tau _{2}(x)-\tau _{2}(y)}E^{ \gamma , \delta , k, c}_{\mu , \alpha , l}(\omega (\tau _{2}(x)-\tau _{2}(y))^{ \mu }; p)\).
For suitable settings of functions ϕ, \(\tau _{2}\) and certain values of parameters included in Mittag-Leffler function (1.9), very interesting consequences are obtained which are described in [16, Remarks 6 & 7].
The objective of this paper is to obtain some inequalities for unified integral operators via strongly convex functions.
Definition 5
A function \(\tau _{1}:I\rightarrow \mathbb{R}\), where I is an interval in \(\mathbb{R}\), is said to be convex if
holds for all \(x,y\in I\) and \(t\in [0,1]\).
The following well-known Hadamard inequality holds for convex functions:
Definition 6
([7])
Let \(\tau _{1}: I \to \mathbb{R}\) be a convex function on an interval \(I\subset \mathbb{R}\) and \(a,b \in I \) where \(a < b\). Then
holds.
Definition 7
([21])
Let I be a nonempty convex subset of the normed space X. A real valued function \(\tau _{1}\) is said to be strongly convex with modulus \(G>0\) on I if for each \(a,b \in I\) and \(t \in [0,1]\),
In the following, we give some results which are directly linked with the main findings of this paper. The following bounds of unified integral operators for convex functions are established in [16]:
Theorem 1
Let \(\tau _{1}:[a,b]\longrightarrow \mathbb{R}\) be a positive integrable convex function with \(m\in (0,1]\). Let \(\tau _{2}:[a,b]\longrightarrow \mathbb{R}\) be differentiable and strictly increasing function, also let \(\frac{\phi }{x}\) be an increasing function on \([a,b]\). If \(\alpha , l, \gamma , c \in \mathbb{C}\), \(\Re (\alpha ), \Re (l)>0\), \(\Re (c)>\Re (\gamma )>0\), \(p, \mu , \delta \geq 0\), and \(0< k\leq \delta + \mu \), then for \(x\in (a,b)\) we have
The following Hadamard inequality for unified fractional integrals is proved in [16]:
Theorem 2
Under the assumptions of Theorem 1, in addition if \(\tau _{1}(x)=\tau _{1} (a+b-x )\), then we have
The following modulus inequality is obtained for unified integrals in [16].
Theorem 3
Let \(\tau _{1}:[a,b]\longrightarrow \mathbb{R}\) be a differentiable function. Let \(|\tau '_{1}|\) be convex with \(m\in (0,1]\) and \(\tau _{2}:[a,b]\longrightarrow \mathbb{R}\) be differentiable and strictly increasing function, also let \(\frac{\phi }{x}\) be an increasing function on \([a,b]\). If \(\alpha , l, \gamma , c \in \mathbb{C}\), \(\Re (\alpha ), \Re (l)>0\), \(\Re (c)>\Re (\gamma )>0\), \(p, \mu , \delta \geq 0\), and \(0< k\leq \delta + \mu \), then for \(x\in (a,b)\) we have
where
In the upcoming section, we establish the bounds of a unified integral operator using strongly convexity. An Hadamard inequality is obtained for these integral operators via strongly convex function. A modulus inequality is obtained for differentiable functions by utilizing strongly convexity of \(|\tau '_{1}|\) for unified integral operators. Furthermore, refinements of results given in [8, 16] are identified. In the whole paper we will use
2 Main results
Bounds of unified integral operators (1.10) and (1.11) are studied in the following result:
Theorem 4
Let \(\tau _{1}:[a,b]\longrightarrow \mathbb{R}\) be a positive, integrable and strongly convex function with \(m\in (0,1]\). Let \(\tau _{2}:[a,b]\longrightarrow \mathbb{R}\) be differentiable and strictly increasing function, also let \(\frac{\phi }{x}\) be an increasing function on \([a,b]\). If \(\alpha ,\beta , l, \gamma , c \in \mathbb{C}\), \(\Re (\alpha ), \Re (l)>0\), \(\Re (c)>\Re (\gamma )>0\), \(p, \mu , \delta \geq 0\), and \(0< k\leq \delta + \mu \), then for \(x\in (a,b)\) we have
where \(I_{d}\) is the identity function.
Proof
Let \(t\in (a,x)\). Then the following inequality holds:
Since \(\tau _{1}\) is a strongly convex function, for \(\tau _{1}\) the following inequality holds true:
Multiplying (2.2) with (2.3) and integrating over \([a, x]\), one can obtain
By using (1.10) of Definition 4 and integrating by parts, the following inequality is obtained:
On the other hand, the following inequality holds true:
Using strongly convexity of \(\tau _{1}\), we have
Adopting the same procedure as we did for (2.2) and (2.3), the following inequality from (2.5) and (2.6) can be obtained:
By adding (2.4) and (2.7), (2.1) is obtained. □
Remark 1
(i) If we take \(G=0\) in (2.1), then (1.14) is obtained. In other words, (2.1) provides a refinement of (1.14).
(ii) If we take \(\phi (t)= \frac{\Gamma (\alpha ) t^{\frac{\alpha }{k}}}{k\Gamma _{k}(\alpha )}\), \(G=0\), \(\tau _{2}(x)=x\), and \(p=\omega =0\) in (1.14), then [9, Theorem 1] is obtained. For \(G\neq 0\), we get its refinement.
(iii) If we take \(\alpha =\beta \) in the result of (ii), then [9, Corollary 1] is obtained. For \(G\neq 0\), we get its refinement.
(iv) If we take \(\phi (t)= \frac{\Gamma (\alpha ) t^{\frac{\alpha }{k}}}{k\Gamma _{k}(\alpha )}\), \(G=0\), and \(p=\omega =0\) in (1.14), then [12, Theorem 6] is obtained. For \(G\neq 0\), we get its refinement.
(v) If we take \(\alpha =\beta \) in the result of (iv), then [12, Corollary 7] is obtained. For \(G\neq 0\), we get its refinement.
(vi) If we take \(\phi (t)=\Gamma (\alpha ) t^{\alpha }\), \(G=0\), and \(\tau _{2}(t)=t\) in (1.14), then [4, Corollary 1] is obtained. For \(G\neq 0\), we get its refinement.
Corollary 1
If we take \(\phi (t)=\Gamma (\alpha )t^{\alpha }\), \(p=\omega =0\) in (2.1), then the following inequality is obtained for fractional integral operators defined in [15]:
Remark 2
(i) If we take \(G=0\) and \(\alpha =\beta \) in (2.8), then [13, Theorem 1] is obtained. For \(G\neq 0\), we get its refinement.
(ii) If \(\alpha =\beta \) in the result of (i), then [13, Corollary 1] is obtained. For \(G\neq 0\), we get its refinement.
(iii) If we take \(\tau _{2}(x)=x\) and \(G=0\) in (2.8), then [8, Theorem 1] is obtained. For \(G\neq 0\), we get its refinement.
(iv) If we take \(\alpha =\beta \) in the result of (iii), then [8, Corollary 1] is obtained. For \(G\neq 0\), we get its refinement.
(v) If we take \(\alpha =\beta =1\) and \(x=a \) or \(x=b\) in the result of (iv), then [8, Corollary 2] is obtained. For \(G\neq 0\), we get its refinement.
(vi) If we take \(\alpha =\beta =1\) and \(x=\frac{a+b}{2}\) in the result of (iv), then [8, Corollary 3] is obtained. For \(G\neq 0\), we get its refinement.
To prove the the next result we need the following lemma.
Lemma 1
Let \(\tau _{1}:[a,b]\to \mathbb{R}\) be a strongly convex function. If \(\tau _{1}\) is symmetric about \(\frac{a+b}{2}\), then the following inequality holds true:
for all \(x\in [a,b]\).
Proof
Since \(\tau _{1}\) is strongly convex, we have
As \(\tau _{1}\) is symmetric about \(\frac{a+b}{2}\), we have \(\tau _{1}(x)=\tau _{1}(a+b-x)\) and (2.9) holds. □
Remark 3
Lemma 1 is a refinement of [8, Lemma 1].
The upcoming result gives the Hadamard inequality.
Theorem 5
Under the assumptions of Theorem 4, in addition if \(\tau _{1}(x)=\tau _{1} (a+b-x )\), then we have
Proof
The following inequality holds true:
Using strongly convexity of \(\tau _{1}\) for \(x \in (a, b)\), we have
Multiplying (2.11) and (2.12) and integrating the resulting inequality over \([a, b]\), one can obtain
By using Definition 4 and integrating by parts, the following inequality is obtained:
On the other hand, the following inequality holds true:
Adopting the same pattern of simplification as we did for (2.11) and (2.12), the following inequality can be observed from (2.12) and (2.14):
By adding (2.13) and (2.15), the following inequality can be obtained:
Multiplying both sides of (2.9) by \(K_{b}^{x}(E^{\gamma , \delta , k, c}_{\mu , \beta , l},\tau _{2}; \phi )d(\tau _{2}(x))\) and integrating over \([a, b]\), we have
From Definition 4, the following inequality is obtained:
Similarly, multiplying both sides of (2.9) by \(K_{x}^{a}(E^{\gamma , \delta , k, c}_{\mu , \alpha , l},\tau _{2}; \phi )\,d(\tau _{2}(x))\) and integrating over \([a, b]\), we have
By adding (2.17) and (2.18), following inequality is obtained:
Using (2.16) and (2.19), inequality (2.10) can be established. □
Remark 4
(i) If we take \(G=0\) and \(\alpha =\beta \) in (2.10), then (1.15) is obtained, for \(G\neq 0\), we get its refinement.
(ii) If we take \(\phi (t)=\Gamma (\alpha )t^{\alpha +1}\), \(p=\omega =0\) and \(G=0\) in (2.10), then [13, Theorem 3] is obtained. For \(G\neq 0\), we get its refinement.
(iii) If \(\alpha =\beta \) in the result of (ii), then [13, Corollary 3] is obtained. For \(G\neq 0\), we get its refinement.
(iv) If we take \(\phi (t)=\Gamma (\alpha ) t^{\frac{\alpha }{k}+1}\), \(G=0\), \(\tau _{2}(x)=x\) and \(p=\omega =0\) in (2.10), then [9, Theorem 3] is obtained. For \(G\neq 0\), we get its refinement.
(v) If we take \(\alpha =\beta \) in the result of (iv), then [9, Corollary 6] is obtained. For \(G\neq 0\), we get its refinement.
(vi) If we take \(\phi (t)=\Gamma (\alpha ) t^{\frac{\alpha }{k}+1}\), \(G=0\) and \(p=\omega =0\) in (2.10), then [12, Theorem 11] is obtained. For \(G\neq 0\), we get its refinement.
(vii) If we take \(\alpha =\beta \) in the result of (vi), then [12, Corollary 12] is obtained. For \(G\neq 0\), we get its refinement.
(viii) If we take \(\phi (t)=t^{\alpha +1}\), \(\tau _{2}(t)=t\) and \(G=0\) in (2.10), then [4, Corollary 3] is obtained. For \(G\neq 0\), we get its refinement.
Corollary 2
If we take \(p=\omega =0\) in (2.10), then the following Hadamard inequality is obtained for fractional integral operators defined in [10]:
Remark 5
(i) If we take \(\phi (t)= \Gamma (\alpha )t^{\alpha +1}\), \(p=\omega =0\), \(G=0\), and \(\tau _{2}(t)=t\) in (2.20), [8, Theorem 3] is obtained. For \(G\neq 0\), we get its refinement.
(ii) If we take \(\alpha =\beta \) in the result of (i), then [8, Corollary 6] is obtained. For \(G\neq 0\), we get its refinement.
Theorem 6
Let \(\tau _{1}:[a,b]\longrightarrow \mathbb{R}\) be a differentiable function. Let \(|\tau '_{1}|\) be strongly convex with \(m\in (0,1]\) and \(\tau _{2}:[a,b]\longrightarrow \mathbb{R}\) be differentiable and strictly increasing function, also let \(\frac{\phi }{x}\) be an increasing function on \([a,b]\). If \(\alpha ,\beta , l, \gamma , c \in \mathbb{C}\), \(\Re (\alpha ), \Re (l)>0\), \(\Re (c)>\Re (\gamma )>0\), \(p, \mu , \delta \geq 0\), and \(0< k\leq \delta + \mu \), then for \(x\in (a,b)\) we have
Proof
Using strongly convexity of \(|\tau '_{1}|\), we have
Inequality (2.22) can be written as follows:
Let us consider the second inequality of (2.23), namely
Multiplying (2.2) and (2.24) and integrating over \([a, x]\), we can obtain
By using (1.10) of Definition 4 and integrating by parts, the following inequality is obtained:
If we consider the left-hand side of inequality (2.23) and adopt the same argument as for the right-hand side inequality, then we get
From (2.25) and (2.26), the following inequality is obtained:
Now using the strongly convexity of \(|\tau '_{1}|\), we have
With the same procedure as that used for (2.2) and (2.22), one can obtain the following inequality from (2.5) and (2.28):
By adding (2.27) and (2.29), inequality (2.21) can be achieved. □
Remark 6
(i) If we take \(G=0\) and \(\alpha =\beta \) in (2.21), then (1.16) is obtained. For \(G\neq 0\), we get its refinement.
(ii) If we take \(\phi (t)=\Gamma (\alpha ) t^{\frac{\alpha }{k}+1}\), \(G=0\), \(\tau _{2}(x)=x\) and \(p=\omega =0\) in (2.21), then [9, Theorem 2] is obtained. For \(G\neq 0\), we get its refinement.
(iii) If we take \(\alpha =\beta \) in the result of (ii), then [9, Corollary 4] is obtained. For \(G\neq 0\), we get its refinement.
(iv) If we take \(\alpha =\beta =k=1\) and \(x=\frac{a+b}{2}\), in the result of (iii), then [9, Corollary 5] is obtained. For \(G\neq 0\), we get its refinement.
(v) If we take \(\phi (t)=t^{\alpha +1}\), \(\tau _{2}(x)=x\), \(p=\omega =0\) and \(G=0\) in (2.21), then [8, Theorem 2] is obtained. For \(G\neq 0\), we get its refinement.
(vi) If we take \(\alpha =\beta \) in the result of (v), then [8, Corollary 5] is obtained. For \(G\neq 0\), we get its refinement.
(vii) If we take \(\phi (t)=\Gamma (\alpha )t^{\frac{\alpha }{k}+1}\), \(\tau _{2}(x)=x\), \(p=\omega =0\) and \(G=0\) in (2.21), then [12, Theorem 8] is obtained. For \(G\neq 0\), we get its refinement.
(viii) If we take \(\alpha =\beta \) in the result of (vii), then [12, Corollary 9] is obtained. For \(G\neq 0\), we get its refinement.
(ix) If we take \(\phi (t)=t^{\alpha }\), \(\tau _{2}(x)=x\) and \(G=0\) in (2.21), then [4, Corollary 2] is obtained. For \(G\neq 0\), we get its refinement.
3 Concluding remarks
This research provides inequalities for unified integral operators for strongly convex functions, refined form of convex functions. These inequalities provide refinements of the results proved in already published works. The special cases also provide results for fractional integral operators and their refinements.
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Acknowledgements
The research work of Josip Pečarić is supported by the Ministry of Education and Science of the Russian Federation (Agreement No. 02.a03.21.0008). The research work of Yu-Ming Chu is supported by Chongqing University of Arts and Sciences (Z2018SC09) and the National Natural Science Foundation of China (Grant Nos. 11971142, 11871202, 61673169, 11701176, 11626101, and 11601485).
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Jung, C.Y., Farid, G., Andrić, M. et al. Refinements of some integral inequalities for unified integral operators. J Inequal Appl 2021, 7 (2021). https://doi.org/10.1186/s13660-020-02540-4
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DOI: https://doi.org/10.1186/s13660-020-02540-4
MSC
- 26D10
- 31A10
- 26A33
Keywords
- Integral operators
- Fractional integrals
- Convex functions
- Bounds