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Strongly \((\eta ,\omega )\)-convex functions with nonnegative modulus
Journal of Inequalities and Applications volume 2020, Article number: 165 (2020)
Abstract
We introduce a new class of functions called strongly \((\eta,\omega)\)-convex functions. This class of functions generalizes some recently introduced notions of convexity, namely, the η-convex functions and strongly η-convex functions. We also establish inequalities of the Hermite–Hadamard–Fejér’s type, which generalize results of Delavar and Dragomir (Math. Inequal. Appl. 20(1):203–216, 2017) and Awan et al. (Filomat 31(18):5783–5790, 2017). In addition, we obtain some new results for this class of functions. Finally, we apply our results to the k-Riemann–Liouville fractional integral operators to obtain more results in this direction.
1 Introduction
The field of mathematical inequalities, derived from different families of convexity, has been a booming area in recent times. The literature is replete with plethora of such results. The theory of inequalities, especially integral inequalities, has found its place in many areas of mathematical sciences. For instance, it is generally known that there are functions whose integrals cannot be computed analytically, but estimates of such integrals would suffice. Hence an inequality is desired in this case. With the help of convexity the Jensen, Jensen–Steffensen, Slater, Favard, Berwald, Fejér, Hermite–Hadamard inequalities, and their generalizations have all been established. In this work, we concern ourselves with the Fejér and Hermite–Hadamard inequalities.
We start our discussion by collating the following foundational definition and results.
Definition 1
([3])
A function \(F:J\rightarrow \mathbb{R}\) is said to be η-convex with respect to \(\eta :\mathbb{R}\times \mathbb{R}\to \mathbb{R}\) if the following inequality holds:
for all \(x, y\in J\) and \(\tau \in [0,1]\).
We recapture the classical definition of convexity if the bifunction \(\eta (x,y)=x-y\). Recently, Delavar and Dragomir [1] obtained the following theorems for the class of η-convex functions.
Theorem 2
([1])
Let\(F:[\alpha ,\beta ]\to \mathbb{R}\)with\(\alpha <\beta \). Suppose that the functionFsatisfies the following conditions:
- (a)
Fisη-convex andηbounded above on\(F([\alpha ,\beta ])\times F([\alpha ,\beta ])\);
- (b)
\(F\in L_{\infty }([\alpha , \beta ])\).
Then we have the following inequalities:
where\(K_{\eta }\)is an upper bound of η.
Theorem 3
([1])
Let\(F:[\alpha ,\beta ]\to \mathbb{R}\)and\(G:(\alpha ,\beta )\to [0,\infty )\)with\(\alpha <\beta \). Suppose that the functionsFandGsatisfy the following conditions:
- (a).
Fisη-convex;
- (b).
\(F\in L_{\infty }([\alpha , \beta ])\);
- (c).
\(G\in L_{1}((\alpha , \beta ))\);
- (d).
\(G(\alpha +\beta -u)=G(u)\)for all\(u\in (\alpha ,\beta )\).
Then we have the following inequality:
Definition 1 was further generalized by Awan et al.
Definition 4
([2])
A function \(F:J\subset \mathbb{R}\to \mathbb{R}\) is said to be strongly η-convex with respect to \(\eta :\mathbb{R}\times \mathbb{R}\to \mathbb{R}\) and modulus \(\mu \geq 0\) if
for all \(x, y\in J\) and \(\tau \in [0,1]\).
Example 5
The function \(F(x)=x^{2}\) is strongly η-convex with respect to the function \(\eta (x,y)=2x+y\) and modulus \(\mu =1\).
For related and recent results associated with the η-convex functions, we refer the interested reader to the papers [4–10] and the references therein.
The authors in [2] proved the following result.
Theorem 6
([2])
Let\(F:[\alpha ,\beta ]\to \mathbb{R}\)with\(\alpha <\beta \). Suppose that the functionFsatisfies the following conditions:
- (a)
Fis stronglyη-convex with respect to modulus\(\mu \geq 0\)andηbounded above on\(F([\alpha ,\beta ])\times F([\alpha ,\beta ])\);
- (b)
\(F\in L_{\infty }([\alpha , \beta ])\).
Then we have the following inequalities:
where\(K_{\eta }\)is an upper bound of η.
Stimulated by the above-mentioned work, we aim to achieve the following goals:
- 1.
to introduce a new class of functions in Sect. 2, which generalizes preexisting notions of convexity;
- 2.
to extend Theorems 3 and 6 to this new class of functions (see Sect. 3) and then apply the results obtained thereafter to the k-Riemann–Liouville fractional integrals;
- 3.
finally, to establish many new integral inequalities in this direction.
2 A new class of convexity
We now introduce a new definition as a generalization of Definition 4.
Definition 7
A function \(F:J\subset \mathbb{R}\to \mathbb{R}\) is said to be strongly \((\eta ,\omega )\)-convex with respect to \(\eta :\mathbb{R}\times \mathbb{R}\to \mathbb{R}\), \(\omega :[0,1]\rightarrow [0,\infty )\), and modulus \(\mu \geq 0\) if
for all \(x, y\in J\) and \(\tau \in [0,1]\).
Evidently, by taking \(\omega (\tau )=\tau \) we get Definition 4. Substituting \(\tau =0\) into (4), we obtain
For \(\tau =1\), we get
If, in addition, we set \(x=y\) in (4), then we obtain
We now present an example of a strongly \((\eta ,\omega )\)-convex function.
Example 8
Let \(F(x)=x^{2}\). The function F is strongly \((\eta ,\omega )\)-convex with respect to the bifunction \(\eta (x, y)=2x+y\), \(\omega (\tau )=\tau \), and modulus \(\mu =1\). To see this, let \(\tau \in [0, 1]\). Then
We wrap up this section by showing, by means of the next example, that the class of strongly \((\eta ,\omega )\)-convex functions is wider than the class of strongly η-convex functions.
Example 9
The function \(F(x)=\sqrt{x}\) defined on \([0, 1]\) is strongly \((\eta ,\omega )\)-convex with respect to \(\eta (p,q)=\sqrt{ \vert p^{2}-q^{2} \vert }\) (\(p,q\in \mathbb{R}\)), \(\omega (\tau )=\sqrt{\tau }\) (\(\tau \in [0, 1]\)), and \(\mu =0\). To prove this claim, let \(x,y,\tau \in [0, 1]\). Then
Next, we argue that there are no \(\eta :[0,1]\times [0, 1]\to \mathbb{R}\) and \(\mu \geq 0\) for which F is strongly η-convex. We prove this by contradiction. Suppose there are \(\eta :[0,1]\times [0, 1]\to \mathbb{R}\) and \(\mu \geq 0\) such that F is strongly η-convex. Then for all \(x,y\in [0, 1]\),
Let \(x>0\) and \(y=0\). We get
This implies
Taking limit as \(\tau \to 0^{+}\), we obtain \(x=0\), contradicting the fact that \(x>0\). Therefore our claim is justified.
3 Main results
We break this section into three subsections. We start by presenting Hermite–Hadamard–Fejér-type results and give an application to the k-Riemann–Liouville fractional integral. Thereafter, we conclude by establishing three more theorems for the class of \((\eta ,\omega )\)-convex functions.
3.1 Inequalities of the Hermite–Hadamard–Fejér type
Theorem 10
Let\(F:[\alpha ,\beta ]\to \mathbb{R}\)and\(G:(\alpha ,\beta )\to [0,\infty )\)with\(\alpha <\beta \). Suppose that the functionsFandGsatisfy the following conditions:
- (a)
Fis strongly\((\eta ,\omega )\)-convex with modulus\(\mu \geq 0\), ηbounded above on\(F([\alpha ,\beta ])\times F([\alpha ,\beta ])\), and\(\omega \in L_{\infty }([0, 1])\);
- (b)
\(F\in L_{\infty }([\alpha , \beta ])\);
- (c)
\(G\in L_{1}((\alpha , \beta ))\);
- (d)
\(G(\alpha +\beta -u)=G(u)\)for all\(u\in (\alpha ,\beta )\).
Then we have the following inequalities:
where\(K_{\eta }\)is an upper bound of η.
Proof
For all \(\tau \in [0, 1]\), we have
Since F is strongly \((\eta ,\omega )\)-convex, we obtain
for all \(\tau \in [0, 1]\). Since \(K_{\eta }\) is an upper bound of η, we get
that is,
for all \(\tau \in [0, 1]\). Similarly, we can also write
From this inequality we get
for all \(\tau \in [0, 1]\). Adding (7) and (8), we obtain the following inequality for \(\tau \in [0, 1]\):
Multiplying (9) by \(G (\frac{\alpha +\beta +\tau (\beta -\alpha )}{2} )\), integrating over \((0, 1)\) with respect to the variable τ, and using item (d) and a change of variable, we get
This implies that
Multiplying again (9) by \(G (\frac{\alpha +\beta -\tau (\beta -\alpha )}{2} )\) and proceeding as before, we get
which gives the first inequality.
Next, we prove the second inequality. For this, let u be any element in \([\alpha ,\beta ]\). Then u can be expressed as
Using the strong \((\eta ,\omega )\)-convexity of F, we obtain
Multiplying this inequality by \(G(u)\) and integrating over \((\alpha ,\beta )\) with respect to the variable u, we get
Similarly, we can also write
Applying again the strong \((\eta ,\omega )\)-convexity of F gives
Multiplying this inequality by \(G(u)\), proceeding as outlined before, and noting that \(G(\alpha +u(\beta -\alpha ))=G(\beta -u(\beta -\alpha ))\), we get
where we have used the fact that
Now adding (13) and (14) gives
The last inequality follows by using the upper bound \(K_{\eta }\) in (15):
This completes the proof. □
Corollary 11
Let\(F:[\alpha ,\beta ]\to \mathbb{R}\)and\(G:(\alpha ,\beta )\to [0,\infty )\)with\(\alpha <\beta \). Suppose that the functionsFandGsatisfy the following conditions:
- (a)
Fis stronglyη-convex with modulus\(\mu \geq 0\)andηbounded above on\(F([\alpha ,\beta ])\times F([\alpha ,\beta ])\);
- (b)
\(F\in L_{\infty }([\alpha , \beta ])\);
- (c)
\(G\in L_{1}((\alpha , \beta ))\);
- (d)
\(G(\alpha +\beta -u)=G(u)\)for all\(u\in (\alpha ,\beta )\).
Then we have the following inequalities:
where\(K_{\eta }\)is an upper bound of η.
Proof
The desired result follows by setting \(\omega (\tau )=\tau \) in Theorem 10. □
Remark 12
If we take \(\mu =0\) in Corollary 11, then we recapture Theorem 3 due to Delavar and Dragomir. By taking \(G(\tau )=1\) for all \(\tau \in (\alpha ,\beta )\) in Corollary 11 we recover Theorem 6 due to Awan et al. Also, Corollary 11 reduces to Theorem 2 by taking \(G\equiv 1\) and \(\mu =0\).
Corollary 13
Let\(F:[\alpha ,\beta ]\to \mathbb{R}\)and\(H:(\alpha ,\beta )\to [0,\infty )\)with\(\alpha <\beta \). Suppose that the functionsFandHsatisfy the following conditions:
- (a)
Fis strongly\((\eta ,\omega )\)-convex with modulus\(\mu \geq 0\), ηbounded above on\(F([\alpha ,\beta ])\times F([\alpha ,\beta ])\), and\(\omega \in L_{\infty }([0, 1])\);
- (b)
\(F\in L_{\infty }([\alpha , \beta ])\);
- (c)
\(H\in L_{1}((\alpha , \beta ))\).
Then we have the following inequalities:
where\(K_{\eta }\)is an upper bound of η.
Proof
Let \(G:(\alpha ,\beta )\to \mathbb{R}\) be the function defined by
Since \(H\in L_{1}((\alpha , \beta ))\), it follows also that \(G\in L_{1}((\alpha , \beta ))\). Also, by the definition of the function G we have that for \(u\in (\alpha ,\beta )\),
Hence, items (c) and (d) of Theorem 10 are satisfied. Therefore, applying Theorem 10 to the function G, we get the desired inequalities. □
3.2 Application to the k-Riemann–Liouville fractional operators
We start by recalling the definition of the k-Riemann–Liouville fractional integrals: the left- and right-sided k-Riemann–Liouville fractional integral operators \({}_{k}{\mathcal{J}}_{\alpha ^{+}}^{\epsilon }\) and \({}_{k}{\mathcal{J}}_{\beta ^{-}}^{\epsilon }\) of order \(\epsilon >0\) for a real-valued continuous function \(F(x)\) are defined as
and
where \(k>0\), and \(\varGamma _{k}\) is the k-gamma function given by
with the properties \(\varGamma _{k}(x+k)=x\varGamma _{k}(x)\) and \(\varGamma _{k}(k)=1\).
In what follows, we will need the following functions \(\mathcal{U}, \mathcal{V}, \mathcal{W}:[\alpha ,\beta ]\to \mathbb{R}\) defined by
and
Applying Corollary 13, we get the following result.
Corollary 14
Let\(F:[\alpha ,\beta ]\to \mathbb{R}\)with\(\alpha <\beta \). Suppose that the functionFsatisfies the following conditions:
- (a)
Fis strongly\((\eta ,\omega )\)-convex with modulus\(\mu \geq 0\), ηbounded above on\(F([\alpha ,\beta ])\times F([\alpha ,\beta ])\), and\(\omega \in L_{\infty }([0, 1])\);
- (b)
\(F\in L_{\infty }([\alpha , \beta ])\).
Then we have the following inequalities:
where\(K_{\eta }\)is an upper bound of η.
Proof
Let
where \(\epsilon ,k>0\). The function H clearly satisfies the conditions of Corollary 13 since
We obtain the intended inequalities by applying Corollary 13 to the function H and the following identities:
and
□
Corollary 15
Let\(F:[\alpha ,\beta ]\to \mathbb{R}\)with\(\alpha <\beta \). Suppose that the functionFsatisfies the following conditions:
- (a)
Fis stronglyη-convex with modulus\(\mu \geq 0\)andηbounded above on\(F([\alpha ,\beta ])\times F([\alpha ,\beta ])\);
- (b)
\(F\in L_{\infty }([\alpha , \beta ])\).
Then we have the following inequalities:
where\(K_{\eta }\)is an upper bound of η.
Proof
The proof follows by setting \(\omega (\tau )=\tau \), \(\tau \in [0,1]\), in Corollary 14. For this, we notice that
and thus
□
By substituting \(\mu =0\) in the corollary, we obtain the following result for the η-convex functions.
Corollary 16
Let\(F:[\alpha ,\beta ]\to \mathbb{R}\)with\(\alpha <\beta \). Suppose that the functionFsatisfies the following conditions:
- (a)
Fisη-convex andηbounded above on\(F([\alpha ,\beta ])\times F([\alpha ,\beta ])\);
- (b)
\(F\in L_{\infty }([\alpha , \beta ])\).
Then we have the following inequalities:
where\(K_{\eta }\)is an upper bound of η.
3.3 More integral inequalities
We now proceed to obtain more results associated with this new class of functions. For this, we will need the following lemma.
Lemma 17
([11])
Let\(F:J\subset \mathbb{R}\to \mathbb{R}\), and let\(\alpha ,\beta \in J\)with\(\alpha <\beta \). SupposeFsatisfies the following conditions:
- (a)
Fis differentiable in the interior ofJdenoted by\(J^{\circ }\);
- (b)
\(F'\in L_{1}([\alpha ,\beta ])\).
Then, for any\(\lambda \in \mathbb{R}\), we have the identity
Theorem 18
Assume that a functionFsatisfies the conditions of Lemma 17. If, in addition, \(\vert F' \vert \)is strongly\((\eta ,\omega )\)-convex on\([\alpha ,\beta ]\)with modulus\(\mu \geq 0\)and\(\omega \in L_{\infty }([0, 1])\), then for any\(\lambda \in \mathbb{R}\), we have the following inequalities:
where\(h=\beta -\alpha \),
and
Proof
We start by observing that
and
Now using Lemma 17 and the strong \((\eta ,\omega )\)-convexity of \(\vert F' \vert \), we get
Hence the desired result is obtained by using (22) and (23). □
Theorem 19
Assume that a functionFsatisfies the conditions of Lemma 17. If, in addition, \(\vert F' \vert ^{q} \) (\(q>1\)) is strongly\((\eta ,\omega )\)-convex on\([\alpha ,\beta ]\)with modulus\(\mu \geq 0\)and\(\omega \in L_{\infty }([0, 1])\), then for any\(\lambda \in \mathbb{R}\), we have the following inequalities:
where\(\frac{1}{p}+\frac{1}{q}=1\), and
Proof
From identity (22) we get
where \(p>1\).
Using again Lemma 17, the strong \((\eta ,\omega )\)-convexity of \(\vert F' \vert ^{q}\), and the Hölder inequality, we obtain
The desired result is obtained by employing identity (25). □
Theorem 20
Assume that a functionFsatisfies the conditions of Lemma 17. If, in addition, \(\vert F' \vert ^{q} \) (\(q\geq 1\)) is strongly\((\eta ,\omega )\)-convex on\([\alpha ,\beta ]\)with modulus\(\mu \geq 0\)and\(\omega \in L_{\infty }([0, 1])\), then for any\(\lambda \in \mathbb{R}\), we have the following inequalities:
whereh, \(\mathcal{W}_{1}(\lambda )\), \(\mathcal{W}_{2}(\lambda )\), and\(\mathcal{W}_{3}(\lambda )\)are defined in Theorem 18.
Proof
Applying Lemma 17, the strong \((\eta ,\omega )\)-convexity of \(\vert F' \vert ^{q}\), and the Hölder inequality, we get
The intended result is reached by employing identities (22) and (23). □
4 Conclusion
We introduced the notion of \((\eta ,\omega )\)-convexity. We established inequalities of the Hermite–Hadamard–Fejér type and many novel results for the class of \((\eta ,\omega )\)-convex functions. Applications are also provided by employing Corollary 13 to the k-Riemann–Liouville fractional integral operators. We anticipate that this new class of functions will inspire further investigation in this direction. Some further work in this direction can be found in [12–29].
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Tameru, A.M., Nwaeze, E.R. & Kermausuor, S. Strongly \((\eta ,\omega )\)-convex functions with nonnegative modulus. J Inequal Appl 2020, 165 (2020). https://doi.org/10.1186/s13660-020-02436-3
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DOI: https://doi.org/10.1186/s13660-020-02436-3