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On some Hermite–Hadamard type inequalities for \(tgs\)-convex functions via generalized fractional integrals
Advances in Difference Equations volume 2020, Article number: 6 (2020)
Abstract
In this research article, we establish some Hermite–Hadamard type inequalities for \(tgs\)-convex functions via Katugampola fractional integrals and ψ-Riemann–Liouville fractional integrals. Through these results we give some new Hermite–Hadamard type inequalities for \(tgs\)-convex functions via Riemann–Liouville fractional integrals and classical integrals.
1 Introduction
The convex function and its generalization play an important role in optimization theory and in other field of sciences. These functions have many integral inequalities (see [1, 10, 16]). The Hermite–Hadamard inequality [4, 5] for convex functions \(\chi :\mathcal{H} \rightarrow \mathbb{R}\) on an interval \(\mathcal{H}\) of the real line is defined by
for all \(h_{1},h_{2}\in \mathcal{H}\) with \(h_{1}< h_{2}\). Several applications are found by using the Hermite–Hadamard inequality (see [2, 3, 6, 12, 14]).
Fractional calculus [8] has played a key role in different scientific fields due to its long term memory methods. In [15], Sarikaya et al. proved some Hermite–Hadamard type integral inequalities for fractional integrals and also gave some applications. In [10, 11, 13], the authors have established several Hermite–Hadamard type inequalities for new fractional conformable integral operators, Katugampola fractional integrals and ψ-Riemann–Liouville fractional integrals, respectively.
Motivated by Liu et al. [9] and by [11, 13], we prove Hermite–Hadamard type inequalities using ψ-Riemann–Liouville fractional integrals and Katugampola fractional integrals.
2 Preliminaries
In this section, we give some definitions and relevant results essential for this research article.
Definition 2.1
([18])
Let \(\chi :\mathcal{H}\subseteq \mathbb{R}\rightarrow \mathbb{R}\) be a nonnegative function. Then χ is called \(tgs\)-convex, if it satisfies the following inequality:
for all \(h_{1},h_{2}\in \mathcal{H}\) and \(r\in [0,1]\).
Definition 2.2
([8])
Let \(\chi \in L[h_{1},h_{2}]\). The right-hand side and left-hand side Riemann–Liouville fractional integrals \(J^{\alpha }_{h_{1}+}\chi \) and \(J^{\alpha }_{h_{2}-}\chi \) of order \(\alpha > 0\) with \(h_{2} > h_{1} \geq 0\) are defined by
and
respectively, where \(\varGamma (\cdot )\) is the Gamma function defined by \(\varGamma (\alpha )=\int _{0}^{\infty }e^{-t}t^{\alpha -1}\,dt\).
Definition 2.3
([7])
Let \([h_{1},h_{2}]\subset \mathbb{R}\) be a finite interval. Then, the left- and right-side Katugampola fractional integrals of order \(\alpha (>0)\) of \(\chi \in X^{p}_{c}(h_{1},h_{2})\) are defined by
and
with \(h_{1}< g< h_{2}\) and \(\rho >0\). Here \(X^{p}_{c}(h_{1},h_{2})\) (\(c\in \mathbb{R}, 1\leq p\leq \infty\)) is the space of those complex valued Lebesgue measurable functions χ on \([h_{1},h_{2}]\) for which \(\|\chi \|_{X^{p}_{c}}<\infty \), where the norm is defined by
for \(1\leq p<\infty \), \(c\in \mathbb{R}\) and, for the case \(p=\infty \),
Here \(\operatorname{ess}\, \operatorname{sup} \) stands for essential supremum.
Definition 2.4
Let \((h_{1},h_{2})\ (-\infty \leq h_{1}< h_{2}\leq \infty )\) be a finite or infinite real interval and \(\gamma >0\). Let \(\psi (x)\) be an increasing and positive monotone function on \((h_{1},h_{2}]\) with continuous derivative on \((h_{1},h_{2})\). Then the left- and right-sided ψ-Riemann–Liouville fractional integrals of a function χ with respect to ψ on \([h_{1},h_{2}]\) are defined by
respectively.
Liu et al. [9] established Hermite–Hadamard type inequalities via ψ-Riemann–Liouville fractional integrals for convex functions.
Lemma 2.1
([9])
Let \(\chi : [h_{1},h_{2}]\rightarrow \mathbb{R}\)be a differentiable mapping, for \(0\leq h_{1}< h_{2}\), and \(\chi \in L_{1}[h _{1},h_{2}]\). Let \(\psi (g)\)be an increasing and positive monotone function on \((h_{1},h_{2}]\), with continuous derivative \(\psi '(g)\)on \((h_{1},h_{2})\)and \(\gamma \in (0,1)\). Then the following equality for fractional integral holds:
Lemma 2.2
([9])
Let \(\chi : [h_{1},h_{2}]\rightarrow \mathbb{R}\)be a differentiable mapping, for \(0\leq h_{1}< h_{2}\), and \(\chi \in L_{1}[h _{1},h_{2}]\). Let \(\psi (g)\)be an increasing and positive monotone function on \((h_{1},h_{2}]\), with continuous derivative \(\psi '(g)\)on \((h_{1},h_{2})\)and \(\gamma \in (0,1)\). Then the following equality for fractional integral holds:
where
3 Inequalities via Katugampola fractional integrals
In this section, we find a Hermite–Hadamard inequality for a \(tgs\)-convex function via Katugampola fractional integrals.
Theorem 3.1
Let \(\alpha >0\)and \(\rho >0\). Let \(\chi :[h_{1}^{\rho },h _{2}^{\rho }]\subset \mathbb{R}\rightarrow \mathbb{R}\)be a nonnegative function with \(0\leq h_{1}< h_{2}\)and \(\chi \in X^{p}_{c}(h_{1}^{ \rho },h_{2}^{\rho })\). Ifχis also a \(tgs\)-convex function on \([h_{1}^{\rho },h_{2}^{\rho }]\), then the following inequalities hold:
Proof
Let \(r\in [0,1]\). Consider \(x,y\in [h_{1},h_{2}]\), \(h_{1}\geq 0\), defined by \(x^{\rho }=r^{\rho }h_{1}^{\rho }+(1-r^{\rho })h_{2}^{ \rho }\), \(y^{\rho }=r^{\rho }h_{2}^{\rho }+(1-r^{\rho })h_{1}^{\rho }\). Since χ is a \(tgs\)-convex function on \([h_{1}^{\rho },h_{2}^{ \rho }]\), we have
Then we have
Multiplying both sides of (6) by \(r^{\alpha \rho -1}\), \(\alpha >0\) and then integrating the resulting inequality with respect to r over \([0,1]\), we obtain
This establishes the first inequality. For the proof of the second inequality in (5), we first observe that, for a \(tgs\)-convex function χ, we have
and
By adding these inequalities, we get
Multiplying both sides of (8) by \(r^{\alpha \rho -1}\), \(\alpha >0\) and then integrating the resulting inequality with respect to r over \([0,1]\), we obtain
Since
(9) becomes
Remark 3.1
(1) By letting \(\rho \rightarrow 1\) in (5) of Theorem 3.1 we get inequality 3.1 of Theorem 3.1 in [18].
(2) By letting \(\rho \rightarrow 1\) and \(\alpha =1\) in (5) of Theorem 3.1 we get inequality 2.2 of Theorem 2.1 in [18].
Theorem 3.2
Let \(\alpha >0\)and \(\rho >0\). Let \(\chi :[h_{1}^{\rho },h _{2}^{\rho }]\subset \mathbb{R}\rightarrow \mathbb{R}\)be a differentiable and nonnegative mapping on \((h_{1}^{\rho },h_{2}^{ \rho })\)with \(0\leq h_{1}< h_{2}\). If \(|\chi '|\)is \(tgs\)-convex on \([h_{1}^{\rho },h_{2}^{\rho }]\), then the following inequality holds:
Proof
From (7) one can have
By integrating by parts, we then get
By using the triangle inequality and the \(tgs\)-convexity of \(|\chi '|\), we obtain
Multiplying both sides of the above inequality by \(\frac{\alpha \rho }{2}\), we get the required inequality (11). □
Corollary 3.3
Consider the similar assumptions of Theorem 3.2.
1. If \(\rho =1\), then
2. If \(\rho =\alpha =1\), then
For more results we need the following lemma, also proved in [11].
Lemma 3.1
([11])
Let \(\alpha >0\)and \(\rho >0\). Let \(\chi :[h_{1}^{\rho },h _{2}^{\rho }]\subset \mathbb{R}_{+}=[0,\infty )\rightarrow \mathbb{R}\)be a differentiable mapping on \((h_{1}^{\rho },h_{2}^{\rho })\)with \(0\leq h_{1}< h_{2}\). Then the following equality holds if the fractional integrals exist:
Proof
By using the similar arguments as in the proof of Lemma 2 in [15]. First consider
Similarly, we can show that
Thus from (18) and (19) we get (17). □
Theorem 3.4
Let \(\alpha >0\)and \(\rho >0\). Let \(\chi :[h_{1}^{\rho },h _{2}^{\rho }]\subset \mathbb{R}_{+}\rightarrow \mathbb{R}\)be a differentiable and nonnegative mapping on \((h_{1}^{\rho },h_{2}^{ \rho })\)such that \(\chi '\in L_{1}[h_{1},h_{2}]\)with \(0\leq h_{1}< h _{2}\). If \(|\chi '|^{q}\)is \(tgs\)-convex on \([h_{1}^{\rho },h_{2}^{ \rho }]\)for some fixed \(q\geq 1\), then the following inequality holds:
Proof
Using Lemma 3.1 and the power mean inequality and the \(tgs\)-convexity of \(|\chi '|^{q}\), we obtain
By using the change of variable \(t=r^{\rho }\), we get
Hence using (23) and (22) in (21) we get (20). □
Corollary 3.5
Consider the similar assumptions of Theorem 3.4.
1. If \(\rho =1\), then
2. If \(\rho =\alpha =1\), then
Theorem 3.6
Let \(\alpha >0\)and \(\rho >0\). Let \(\chi :[h_{1}^{\rho },h _{2}^{\rho }]\subset \mathbb{R}_{+}\rightarrow \mathbb{R}\)be a differentiable and nonnegative mapping on \((h_{1}^{\rho },h_{2}^{ \rho })\)such that \(\chi '\in L_{1}[h_{1},h_{2}]\)with \(0\leq h_{1}< h _{2}\). If \(|\chi '|^{q}\)is \(tgs\)-convex on \([h_{1}^{\rho },h_{2}^{ \rho }]\)for some fixed \(q\geq 1\), then the following inequality holds:
Proof
Using Lemma 3.1 and the power mean inequality and the \(tgs\)-convexity of \(|\chi '|^{q}\), we obtain
Since by using the change of variable \(t=r^{\rho }\), we get
Hence using (28) in (27) we get(26). □
Corollary 3.7
Consider the similar assumptions of Theorem 3.6. If \(\rho =1\), then
Theorem 3.8
Let \(\chi _{1}\), \(\chi _{2}\)be real valued, symmetric about \(\frac{h_{1}^{\rho }+h_{2}^{\rho }}{2}\), nonnegative and \(tgs\)-convex functions on \([h_{1}^{\rho },h_{2}^{\rho }]\), where \(\rho >0\). Then, for all \(h_{1},h_{2}>0\)and \(\alpha >0\), we have
and
where \(M(h_{1}^{\rho },h_{2}^{\rho })=\chi _{1}(h_{1})\chi _{2}(h_{1})+ \chi _{1}(h_{2})\chi _{2}(h_{2})\)and \(N(h_{1}^{\rho },h_{2}^{\rho })= \chi _{1}(h_{1})\chi _{2}(h_{2})+\chi _{1}(h_{2})\chi _{2}(h_{1})\).
Proof
Since \(\chi _{1}\) and \(\chi _{2}\) are \(tgs\)-convex functions on \([h_{1},h_{2}]\), we can have
and
From the above, we obtain
Multiplying both sides of (32) by \(\frac{r^{\alpha \rho -1}}{ \varGamma (\alpha )}\), \(\alpha >0\) and then integrating the resulting inequality with respect to r over \([0,1]\), we obtain
By the change of variable \(t=r^{\rho }\), we get
Also by letting \(x^{\rho }=r^{\rho }h_{1}^{\rho }+(1-r^{\rho })h_{2} ^{\rho }\), we obtain
Hence from (33)–(35), we get (30).
Again using the \(tgs\)-convexity of \(\chi _{1}\) and \(\chi _{2}\) on \([h_{1}^{\rho },h_{2}^{\rho }]\), we find
Multiplying both sides of (36) by \(\frac{r^{\alpha \rho -1}}{ \varGamma (\alpha )}\), \(\alpha >0\) and then integrating the resulting inequality with respect to r over \([0,1]\), we obtain
That is,
After some calculations we get the required inequality (31). □
Remark 3.2
1. By letting \(\rho =1\) in Theorem 3.8 the inequalities (30) and (31) give the inequalities \((3.11)\) and \((3.12)\), respectively, in Theorem 3.2 of [18].
2. By letting \(\rho =\alpha = 1\) in Theorem 3.8 the inequality (30) becomes the inequality in Theorem \((2.2)\) of [18].
4 Inequalities via ψ-Riemann–Liouville fractional integrals
First we establish the Hermite–Hadamard inequality via ψ-Riemann–Liouville fractional integrals.
Theorem 4.1
Let \(\chi : [h_{1},h_{2}]\rightarrow \mathbb{R}\)be a positive function, for \(0\leq h_{1}< h_{2}\), and \(\chi \in L_{1}[h_{1},h _{2}]\). Let \(\psi (z)\)be an increasing and positive monotone function on \((h_{1},h_{2}]\), with continuous derivative \(\psi '(z)\)on \((h_{1},h_{2})\). Letχbe a \(tgs\)-convex function, then the following inequalities for a fractional integral hold:
Proof
Since χ is \(tgs\)-convex, we have
Let \(u=rh_{1}+(1-r)h_{2}\) and \(v=rh_{2}+(1-r)h_{1}\), we get
Multiplying by \(r^{\gamma -1}\) on both sides of inequality (38) and then integrating with respect to r over \([0,1]\) imply
Now consider
by using (39). Thus first inequality of (37) is proved.
For the next inequality we consider
and
We add
Multiplying by \(r^{\gamma -1}\) on both sides of inequality (41) and then integrating with respect to r over \([0,1]\) imply
That is,
Hence the proof is completed. □
Remark 4.1
(1) By letting \(\psi (g)=g\) in (37) of Theorem 4.1 we get inequality 3.1 of Theorem 3.1 in [18].
(2) By letting \(\psi (g)=g\) and \(\gamma =1\) in (37) of Theorem 4.1 we get inequality 2.2 of Theorem 2.1 in [18].
For the next two results we use Lemma 2.1 and Lemma 2.2, respectively.
Theorem 4.2
Let \(\chi : [h_{1},h_{2}]\rightarrow \mathbb{R}\)be a nonnegative differentiable mapping, for \(0\leq h_{1}< h_{2}\). Let \(\psi (g)\)be an increasing and positive monotone function on \((h_{1},h_{2}]\), with continuous derivative \(\psi '(g)\)on \((h_{1},h _{2})\)and \(\gamma \in (0,1)\). If \(|\chi '|^{q}\)is \(tgs\)-convex and \(q\geq 1\), then the following inequality for fractional integral holds:
Proof
First note that, for every \(g\in (\psi ^{-1}(h_{1}),\psi ^{-1}(h_{2}))\), we have \(h_{1}<\psi (g)<h_{2}\). Let \(r=\frac{h_{2}-\psi (g)}{h_{2}-h _{1}}\), then we have \(\psi (g)=rh_{1}+(1-r)h_{2}\). Applying Lemma 2.1 and the \(tgs\)-convexity of \(|\chi '|\), we obtain
Since
we get the required inequality (42) for \(q=1\).
Now consider the case when \(q>1\). Again using Lemma 2.1, the power mean inequality and the s-convexity of \(|\chi '|^{q}\) on \([a_{1},a _{2}]\), we get
We have
This completes the proof. □
Corollary 4.3
Under the similar conditions of Theorem 4.2.
1. If \(\psi (g)=g\), then we get
2. If \(\psi (g)=g\)and \(\gamma =1\), then we get
Theorem 4.4
Let \(\chi : [h_{1},h_{2}]\rightarrow \mathbb{R}\)be a nonnegative differentiable mapping, for \(0\leq h_{1}< h_{2}\). Let \(\psi (g)\)be an increasing and positive monotone function on \((h_{1},h_{2}]\), with continuous derivative \(\psi '(g)\)on \((h_{1},h _{2})\)and \(\gamma \in (0,1)\). If \(|\chi '|\)is \(tgs\)-convex, then the following inequality for fractional integral holds:
Proof
From Lemma 2.2 and the \(tgs\)-convexity of \(|\chi '|\), we have
where
and k is defined as in Lemma 2.2. Note that
and from Theorem 4.2 for the case \(q=1\), we have
Hence by using (49) and (50) in (48), we get (47). □
Corollary 4.5
Assume the similar conditions of Theorem 4.4.
1. If \(\psi (g)=g\), then we get
2. If \(\psi (g)=g\)and \(\gamma =1\), then we get
5 Conclusion
In this paper, we proved in Theorem 3.1 the Hermite–Hadamard inequality for \(tgs\)-convex functions via Katugampola fractional integrals. From Theorems 3.2–3.6, we established a Hermite–Hadamard type inequality for \(tgs\)-convex functions via Katugampola fractional integrals. From Corollaries 3.3 and 3.5 we obtained a new Hermite–Hadamard type inequality for \(tgs\)-convex functions via Riemann–Liouville fractional and classical integrals. Also from Corollary 3.7 we obtained a new Hermite–Hadamard type inequality for \(tgs\)-convex functions via Riemann–Liouville fractional integrals.
On the other hand, from Theorem 4.1 we obtained the Hermite–Hadamard inequality for \(tgs\)-convex functions via ψ-Riemann–Liouville fractional integrals. From Theorems 4.2 and 4.4, we established a Hermite–Hadamard type inequality for \(tgs\)-convex functions via ψ-Riemann–Liouville fractional integrals. From Corollaries 4.3 and 4.5 we obtained a new Hermite–Hadamard type inequality for \(tgs\)-convex functions via Riemann–Liouville fractional and classical integrals.
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The authors would like thank to the referees for helpful comments and valuable suggestions.
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This research article is supported by National University of Sciences and Technology (NUST), Islamabad, Pakistan.
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Mehreen, N., Anwar, M. On some Hermite–Hadamard type inequalities for \(tgs\)-convex functions via generalized fractional integrals. Adv Differ Equ 2020, 6 (2020). https://doi.org/10.1186/s13662-019-2457-x
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DOI: https://doi.org/10.1186/s13662-019-2457-x