- Research
- Open Access
- Published:
On an implicit convexity concept and some integral inequalities
Journal of Inequalities and Applications volume 2016, Article number: 308 (2016)
Abstract
We introduce a new concept of convexity that depends on a function \(F:\mathbb{R}\times\mathbb{R}\times\mathbb {R}\times (0,1)\to\mathbb{R}\) satisfying certain axioms. The presented concept generalizes many kinds of convexity including ε-convex functions, α-convex functions, and h-convex functions. Moreover, some integral inequalities are provided via our notion of convexity.
1 Introduction
Convexity is an important concept in many branches of mathematics, pure and applied. In particular, many important integral inequalities are based on a convexity assumption of a certain function, such as Jensen’s inequality, the Hermite-Hadamard inequality, the Hardy-Littlewood-Pólya majoration inequality, Petrović’s inequality, Popoviciui’s convex function inequality, and many others. For more details as regards inequalities via convex functions, we refer the reader to the monograph [1]. However, for many encountered problems, convexity is not satisfied. This leads to the necessity to extend this concept.
In the last 60 years, great attention has been focused on the generalization of the notion of convexity. Let us cite some references in this direction. In [2], Definetti introduced the class of quasi-convex functions. In [3], Mangasarian introduced the notion of pseudo-convex functions. Polyak [4] defined the concept of strongly convex functions. The class of ε-convex functions was introduced by Hyers and Ulam [5]. In [6], Varosanec introduced the notion of h-convexity that includes the class of s-convex functions (see Hudzik [7]). For other work in this direction, we refer the reader to [8–12] and the references therein.
In this paper, we present a new concept of convexity that depends on a certain function satisfying some axioms. This new notion generalizes different types of convexity, including ε-convex functions, α-convex functions, h-convex functions, and many others. Moreover, some integral inequalities are established via this new notion of convexity. As particular cases, we retrieve several existing inequalities from the literature.
2 An implicit convexity concept
We denote by \(\mathcal{F}\) the family of mappings \(F: \mathbb{R}\times \mathbb{R}\times\mathbb{R}\times(0,1)\to\mathbb{R}\) satisfying the following axioms:
-
(A1)
If \(u_{i}\in L^{1}(0,1)\), \(i=1,2,3\), then for every \(\lambda\in (0,1)\), we have
$$\int_{0}^{1} F \bigl(u_{1}(t),u_{2}(t),u_{3}(t), \lambda \bigr)\,dt= F \biggl( \int_{0}^{1} u_{1}(t)\, dt, \int_{0}^{1} u_{2}(t)\,dt, \int_{0}^{1} u_{3}(t)\,dt,\lambda \biggr). $$ -
(A2)
For every \(u\in L^{1}(0,1)\), \(w\in L^{\infty}(0,1)\), and \((z_{1},z_{2})\in\mathbb{R}^{2}\), we have
$$\int_{0}^{1} F \bigl(w(t)u(t),w(t)z_{1},w(t)z_{2},t \bigr)\,dt=T_{F,w} \biggl( \int_{0}^{1} w(t)u(t)\,dt,z_{1},z_{2} \biggr), $$where \(T_{F,w}:\mathbb{R}\times\mathbb{R}\times\mathbb{R}\to\mathbb {R}\) is a function that depends on \((F,w)\), and it is nondecreasing with respect to the first variable.
-
(A3)
For any \((w,u_{1},u_{2},u_{3})\in\mathbb{R}^{4}\), \(u_{4}\in(0,1)\), we have
$$wF(u_{1},u_{2},u_{3},u_{4})=F(wu_{1},wu_{2},wu_{3},u_{4})+L_{w}, $$where \(L_{w}\in\mathbb{R}\) is a constant that depends only on w.
We introduce the new concept of convexity as follows.
Definition 2.1
Let \(f: [a,b]\to\mathbb{R}\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), be a given function. We say that f is a convex function with respect to some \(F\in\mathcal{F}\) (or F-convex function) iff
The following property follows immediately from (2.1).
Proposition 2.2
Let \(f: [a,b]\to\mathbb{R}\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), be an F-convex function, for some \(F\in\mathcal{F}\). Then
Proof
Taking \(x=y\) in (2.1), the desired inequality follows. □
Now, we give some examples of F-convex functions.
Example 2.3
Let \(\varepsilon\geq0\), and let \(f: [a,b]\to\mathbb{R}\), \((a,b)\in \mathbb{R}^{2}\), \(a< b\), be an ε-convex function, that is (see [5]),
Define the function \(F: \mathbb{R}\times\mathbb{R}\times\mathbb {R}\times[0,1]\to\mathbb{R}\) by
Let \(u_{i}\in L^{1}(0,1)\), \(i=1,2,3\), and let \(\lambda\in[0,1]\). We have
Therefore, the function F satisfies axiom (A1). Now, let \(u\in L^{1}(0,1)\), \(w\in L^{\infty}(0,1)\), and \((z_{1},z_{2})\in \mathbb{R}^{2}\). We have
where \(T_{F,w}:\mathbb{R}\times\mathbb{R}\times\mathbb{R}\to\mathbb {R}\) is defined by
Then the function F satisfies axiom (A2). Now, let \((w,u_{1},u_{2},u_{3})\in\mathbb{R}^{4}\) and \(u_{4}\in(0,1)\). We have
Therefore, axiom (A3) is satisfied with
Thus we proved that \(F\in\mathcal{F}\). On the other hand, since f is ε-convex, for all \((x,y,t)\in[a,b]\times[a,b]\times(0,1)\), we have
As a consequence, f is an F-convex function.
Remark 2.4
Taking \(\varepsilon=0\) in the above example, we observe that any convex function \(f: [a,b]\to\mathbb{R}\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), is an F-convex function with respect to the function \(F: \mathbb{R}\times \mathbb{R}\times\mathbb{R}\times(0,1)\to\mathbb{R}\) defined by
Example 2.5
Let \(f: [a,b]\to\mathbb{R}\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), be an α-convex function, \(0<\alpha\leq1\), that is,
Define the function \(F: \mathbb{R}\times\mathbb{R}\times\mathbb {R}\times[0,1]\to\mathbb{R}\) by
Let \(u_{i}\in L^{1}(0,1)\), \(i=1,2,3\), and let \(\lambda\in[0,1]\). We have
Therefore, the function F satisfies axiom (A1). Now, let \(u\in L^{1}(0,1)\), \(w\in L^{\infty}(0,1)\), and \((z_{1},z_{2})\in\mathbb{R}^{2}\). We have
where \(T_{F,w}:\mathbb{R}\times\mathbb{R}\times\mathbb{R}\to\mathbb {R}\) is defined by
Then the function F satisfies axiom (A2). Now, let \((w,u_{1},u_{2},u_{3})\in\mathbb{R}^{4}\) and \(u_{4}\in(0,1)\). We have
Therefore, axiom (A3) is satisfied with
Thus we proved that \(F\in\mathcal{F}\). On the other hand, since f is α-convex, for all \((x,y,t)\in [a,b]\times[a,b]\times(0,1)\), we have
As a consequence, f is an F-convex function.
Example 2.6
Let \(h: J\to[0,\infty)\) be a given function which is not identical to 0, where J is an interval in \(\mathbb{R}\) such that \((0,1)\subseteq J\). Let \(f: [a,b]\to[0,\infty)\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), be a h-convex function, that is (see [6]),
We suppose that \(h\in L^{1}(0,1)\). Define the function \(F: \mathbb {R}\times\mathbb{R}\times\mathbb{R}\times(0,1)\to\mathbb{R}\) by
Let \(u_{i}\in L^{1}(0,1)\), \(i=1,2,3\), and let \(\lambda\in[0,1]\). We have
Therefore, the function F satisfies axiom (A1). Now, let \(u\in L^{1}(0,1)\), \(w\in L^{\infty}(0,1)\), and \((z_{1},z_{2})\in\mathbb{R}^{2}\). We have
where \(T_{F,w}:\mathbb{R}\times\mathbb{R}\times\mathbb{R}\to\mathbb {R}\) is defined by
Then the function F satisfies axiom (A2). Now, let \((w,u_{1},u_{2},u_{3})\in\mathbb{R}^{4}\) and \(u_{4}\in(0,1)\). We have
Therefore, axiom (A3) is satisfied with
Thus we proved that \(F\in\mathcal{F}\). On the other hand, since f is h-convex, for all \((x,y,t)\in [a,b]\times[a,b]\times(0,1)\), we have
As a consequence, f is an F-convex function.
3 Integral inequalities involving F-convex functions
Some integral inequalities via F-convex functions are presented in this section.
Theorem 3.1
Let \(f: [a,b]\to\mathbb{R}\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), be an F-convex function, for some \(F\in\mathcal{F}\). Suppose that \(f\in L^{1}(a,b)\). Then
Proof
Since f is an F-convex function, for every \(u,v\in[a,b]\), we have
Taking
we obtain
Using axiom (A1), we get
On the other hand, we have
Therefore,
which proves (3.1).
Again, since f is an F-convex function, for every \(t\in(0,1)\), we have
Using axiom (A2) with \(w\equiv1\), and integrating over \((0,1)\) with respect to the variable t, we obtain
that is,
which proves (3.2). □
Remark 3.2
Note that in the proof of Theorem 3.1, we used only the axioms (A1) and (A2). So, Theorem 3.1 holds true for any function F satisfying (A1) and (A2).
The following lemma will be useful later (see [13]).
Lemma 3.3
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\). Then
We have the following result.
Theorem 3.4
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\). Suppose that
-
(i)
\(|f'|\) is F-convex on \([a,b]\), for some \(F\in\mathcal{F}\).
-
(ii)
The function \(t\in(0,1)\mapsto L_{w(t)}\) belongs to \(L^{1}(0,1)\), where \(w(t)=|1-2t|\).
Then
Proof
Since \(|f'|\) is F-convex, we have
Multiplying this inequality by \(w(t)\) and using axiom (A3), we get
Integration over \((0,1)\) with respect to the variable t and using axiom (A2), we obtain
On the other hand, from Lemma 3.3, we have
Since \(T_{F,w}\) is nondecreasing with respect to the first variable, we deduce that
which proves (3.3). □
Another similar result is given by the following theorem.
Theorem 3.5
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\), and let \(p>1\). Suppose that \(|f'|^{p/(p-1)}\) is F-convex on \([a,b]\), for some \(F\in\mathcal{F}\), and \(|f'|\in L^{p/(p-1)}(a,b)\). Then
where
Proof
Since \(|f'|^{\frac{p}{p-1}}\) is F-convex, we have
Using axiom (A2) with \(w\equiv1\), and integrating over \((0,1)\) with respect to the variable t, we get
On the other hand, using Lemma 3.3 and Hölder’s inequality, we obtain
that is,
Since \(T_{F,1}\) is nondecreasing with respect to the first variable, we obtain
which proves (3.4). □
4 Particular cases
As consequences of the presented theorems, we obtain in this section some integral inequalities for different (and independent) kinds of convexity.
4.1 The case of ε-convexity
We have the following Hermite-Hadamard inequalities for ε-convex functions.
Corollary 4.1
Let \(f: [a,b]\to\mathbb{R}\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), be an ε-convex function, \(\varepsilon\geq0\). Suppose that \(f\in L^{1}(a,b)\). Then
Proof
From Example 2.3, we know that an ε-convex function is an F-convex. Using (2.2) and (2.3) with \(w\equiv1\), we have
and
So, applying Theorem 3.1, we obtain the desired result. □
Taking \(\varepsilon=0\) in Corollary 4.1, we obtain the following standard Hermite-Hadamard inequalities for convex functions.
Corollary 4.2
Let \(f: [a,b]\to\mathbb{R}\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), be a convex function. Suppose that \(f\in L^{1}(a,b)\). Then
Corollary 4.3
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\). Suppose that the function \(|f'|\) is ε-convex on \([a,b]\), \(\varepsilon\geq0\). Then
Proof
Using (2.4) with \(w(t)=|1-2t|\), we obtain
Using (2.3) with \(w(t)=|1-2t|\), we obtain
for all \((u_{1},u_{2},u_{3})\in\mathbb{R}\times\mathbb{R}\times\mathbb{R}\). On the other hand, simple computations yield
Therefore, we have
Then
Now, by Theorem 3.4, we have
that is,
which proves the desired inequality. □
Taking \(\varepsilon=0\) in Corollary 4.3, we obtain the following result (see [13]).
Corollary 4.4
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\). Suppose that the function \(|f'|\) is convex on \([a,b]\). Then
Corollary 4.5
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\), and let \(p>1\). Suppose that \(|f'|^{p/(p-1)}\) is ε-convex on \([a,b]\), \(\varepsilon\geq0\), and \(|f'|\in L^{p/(p-1)}(a,b)\). Then
Proof
Using (2.3) with \(w\equiv1\), we obtain
Then
where
By Theorem 3.5, we have
that is,
which proves the desired inequality. □
Taking \(\varepsilon=0\) in Corollary 4.5, we obtain the following result (see [13]).
Corollary 4.6
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\), and let \(p>1\). Suppose that \(|f'|^{p/(p-1)}\) is convex on \([a,b]\), and \(|f'|\in L^{p/(p-1)}(a,b)\). Then
4.2 The case of α-convexity
We have the following Hermite-Hadamard inequalities for α-convex functions.
Corollary 4.7
Let \(f: [a,b]\to\mathbb{R}\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), be an α-convex function, \(\alpha\in(0,1]\). Suppose that \(f\in L^{1}(a,b)\). Then
Proof
From Example 2.5, we know that an α-convex function is F-convex. Using (2.5) and (2.6) with \(w\equiv1\), we have
and
So, applying Theorem 3.1, we obtain the desired result. □
Remark 4.8
Taking \(\alpha=1\) in Corollary 4.7, we obtain the standard Hermite-Hadamard inequalities for convex functions (see Corollary 4.2).
Corollary 4.9
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\). Suppose that the function \(|f'|\) is α-convex on \([a,b]\), \(\alpha \in (0,1]\). Then
Proof
Using (2.7), we have
Using (2.6) with \(w(t)=|1-2t|\), we obtain
for all \((u_{1},u_{2},u_{3})\in\mathbb{R}\times\mathbb{R}\times\mathbb{R}\). Simple computations yield
and
Therefore,
for all \((u_{1},u_{2},u_{3})\in\mathbb{R}\times\mathbb{R}\times\mathbb{R}\). Now, we have
So, applying Theorem 3.4, we obtain the desired result. □
Remark 4.10
Taking \(\alpha=1\) in Corollary 4.9, we obtain the result given by Corollary 4.4.
Corollary 4.11
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\), and let \(p>1\). Suppose that \(|f'|^{p/(p-1)}\) is α-convex on \([a,b]\), \(\alpha\in(0,1]\), and \(|f'|\in L^{p/(p-1)}(a,b)\). Then
Proof
Using (2.6) with \(w\equiv1\), we obtain
Then
where
By Theorem 3.5, we have
that is,
which is the desired inequality. □
Remark 4.12
Taking \(\alpha=1\) in Corollary 4.11, we obtain the result given by Corollary 4.6.
4.3 The case of h-convex functions
Let \(h: J\to[0,\infty)\) be a given function which is not identical to 0, where J is an interval in \(\mathbb{R}\) such that \((0,1)\subseteq J\). We suppose that \(h\in L^{1}(0,1)\) and \(h (\frac{1}{2} )\neq0\).
We have the following Hermite-Hadamard inequalities for h-convex functions (obtained by Sarikaya et al. [14]).
Corollary 4.13
Let \(f: [a,b]\to[0,\infty)\), \((a,b)\in\mathbb{R}^{2}\), \(a< b\), be a h-convex function. Suppose that \(f\in L^{1}(a,b)\). Then
Proof
From Example 2.6, we know that a h-convex function is F-convex. Using (2.8) and (2.9) with \(w\equiv1\), we have
and
So, applying Theorem 3.1, we obtain the desired result. □
Corollary 4.14
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\). Suppose that the function \(|f'|\) is h-convex on \([a,b]\). Then
Proof
Using (2.10), we have
Using (2.9) with \(w(t)=|1-2t|\), we obtain
Now, we have
So, applying Theorem 3.4, we obtain the desired result. □
Corollary 4.15
Let \(f: I^{\circ}\subseteq\mathbb{R}\to\mathbb{R}\) be a differentiable mapping on \(I^{\circ}\), \((a,b)\in I^{\circ}\times I^{\circ}\), \(a< b\), and let \(p>1\). Suppose that \(|f'|^{p/(p-1)}\) is h-convex on \([a,b]\), and \(|f'|\in L^{p/(p-1)}(a,b)\). Then
Proof
Using (2.9) with \(w\equiv1\), we obtain
Then
where
By Theorem 3.5, we have
that is,
which is the desired inequality. □
References
Bullen, PS: A Dictionary of Inequalities. Pitman Monographs and Surveys in Pure and Applied Mathematics, vol. 97. Addison-Wesley, Reading (1998)
Definetti, B: Sulla stratificazioni convesse. Ann. Mat. Pura Appl. (4) 30, 173-183 (1949)
Mangasarian, OL: Pseudo-convex functions. SIAM J. Control 3, 281-290 (1965)
Polyak, BT: Existence theorems and convergence of minimizing sequences in extremum problems with restrictions. Sov. Math. Dokl. 7, 72-75 (1966)
Hyers, DH, Ulam, SM: Approximately convex functions. Proc. Am. Math. Soc. 3, 821-828 (1952)
Varosanec, S: On h-convexity. J. Math. Anal. Appl. 326(1), 303-311 (2007)
Hudzik, H, Maligranda, L: Some remarks on s-convex functions. Aequ. Math. 48, 100-111 (1994)
Gordji, ME, Delavar, MR, Dragomir, SS: Some inequality related to η-convex function. Preprint Rgmia Res. Rep. Coll., 1-14 (2015)
Gordji, ME, Delavar, MR, De La Sen, M: On φ-convex functions. J. Math. Inequal. 10(1), 173-183 (2016)
Pecaric, JE, Roschan, FP, Tong, YL: Convex Functions, Partial Orderings and Statistical Applications. Academic Press, New York (1991)
Toader, GH: Some generalisations of the convexity. In: Proc. Colloq. Approx. Optim, Cluj Napoca, Romania, pp. 329-338 (1984)
Yand, XM: E-Convex sets, E-convex functions and E-convex programming. J. Optim. Theory Appl. 109, 699-704 (2001)
Dragomir, SS, Agarwal, RP: Two inequalities for differentiable mappings and applications to special means of real numbers and to trapezoidal formula. Appl. Math. Lett. 11(5), 91-95 (1998)
Sarikaya, MZ, Saglam, A, Yildirim, H: On some Hadamard-type inequalities for h-convex functions. J. Math. Inequal. 2(3), 335-341 (2008)
Acknowledgements
The author extends his appreciation to the Distinguished Scientist Fellowship Program (DSFP) at King Saud University (Saudi Arabia).
Author information
Authors and Affiliations
Corresponding author
Additional information
Competing interests
The author declares to have no competing interests.
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
About this article
Cite this article
Samet, B. On an implicit convexity concept and some integral inequalities. J Inequal Appl 2016, 308 (2016). https://doi.org/10.1186/s13660-016-1253-3
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s13660-016-1253-3
MSC
- 26A51
- 26D15
- 35A23
Keywords
- F-convex
- integral inequalities