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A new Hermite–Hadamard type inequality for coordinate convex function
Journal of Inequalities and Applications volume 2020, Article number: 162 (2020)
Abstract
In the article, we establish a new Hermite–Hadamard type inequality for the coordinate convex function by constructing two monotonic sequences. The given result is the generalization and improvement of some previously obtained results.
1 Introduction
Let \(I \subseteq \mathbb{R}\) be an interval. Then a real-valued function \(f: I \to \mathbb{R}\) is said to be convex (concave) if the inequality
holds for all \(a, b \in I \) and \(t \in [0, 1]\). Recently, the generalizations, extensions, variants and applications of convexity have attracted the attention of many researchers (e.g., [4, 20–22]). In particular, many inequalities can be found in the literature (e.g., [13, 15, 17]) via the convexity theory.
The well known Hermite–Hadamard inequality for convex function is formulated as follows:
Let \(f: I\subseteq \mathbb{R}\to \mathbb{R}\) be a convex function defined on the interval \(I=[a,b]\) with \(a< b\). Then the following inequality holds:
In recent years, more and more refinements of the Hermite–Hadamard inequality for convex functions have been extensively investigated by a number of authors (e.g., [1–3, 5, 6, 8–10, 12, 14, 16, 18, 23]).
In [11], A.E. Farissi improved the Hermite–Hadamard inequality as follows:
Theorem 1.1
([11])
Let\(f:I\to \mathbb{R}\)be a convex function on\(I=[a,b]\)with\(a< b\). Then for all\(\lambda \in [0,1]\),
where
and
Consider the two-dimensional interval \(\Delta :=[a,b]\times [c,d]\) with \(a < b\) and \(c< d\). A function \(f:\Delta \to \mathbb{R}\) is said to be coordinate convex on Δ if the partial mappings \(f_{y}:[a,b] \to \mathbb{R}\), \(f_{y}(u)=f(u,y)\) and \(f_{x}:[c,d] \to \mathbb{R}\), \(f_{x}(v)=f(x,v)\), are convex for all \(y \in [c,d]\) and \(x \in [a,b]\).
In [7], S.S. Dragomir established the following Hadamard-type inequalities for coordinate convex functions in a rectangle from the plane \(\mathbb{R}^{2}\).
Theorem 1.2
([7])
Let\(f: \Delta =[a,b]\times [c,d] \to \mathbb{R}\)be a coordinate convex function on Δ. Then
In [19], M.E. Özdemir defined a new mapping associated with coordinate convexity and proved the following inequalities based on the properties of this mapping.
Theorem 1.3
([19])
Let\(f: \Delta \subset \mathbb{R}^{2}\to \mathbb{R}\)be a coordinate convex function on\(\Delta =[a,b]\times [c,d]\). Then
In this paper, we present some new Hermite–Hadamard inequalities for coordinate convex function by defining two sequences \({F(x,y;n)}\) and \({H(x,y;n)}\), which also are generalizations of some existing results. Moreover, we also discuss the monotonicity of the sequences \({F(x,y;n)}\) and \({H(x,y;n)}\).
2 Main results
In this section, a refinement of the Hermite–Hadamard inequality by defining two sequences \({F(x,y;n)}\) and \({H(x,y;n)}\) is presented.
Theorem 2.1
Let\(f: \Delta \subset \mathbb{R}^{2}\to \mathbb{R}\)be a coordinate convex function on\(\Delta =[a,b]\times [c,d]\). Then
for all\(x\in [a, b]\), \(y \in [c, d]\)and\(n \in \mathbb{N}\), where
and
Proof
Since f is coordinate convex on \(\Delta =[a,b]\times [c,d]\), its partial mapping \(g_{x}(y)=f(x,y)\) is convex on \([c,d]\) for all \(x\in [a,b]\), and so, applying (1) to \(g_{x}(y)\),
On the one hand, by (6), we have
On the other hand, by the convexity of \(g_{x}(y)\), we obtain
Integrating both sides of (9) with respect to x on \([a,b]\), we have
By a similar process, we can obtain
Furthermore, by the convexity of \(f(x,y)\), we have
Therefore,
Moreover, by (1), we have
By the convexity of \(g_{x}(y)\) and Jensen’s inequality, we obtain
It follows from (13) and (14) that
Integrating both sides of (15) with respect to x on \([a,b]\), we have
By a similar process, we can obtain
Moreover, by the convexity of \(f(x,y)\), we have
Therefore,
□
Remark 2.1
Let \(n = 0\). Then inequality (5) reduces to (3). Therefore, our Theorem 1.2 is a generalization of Theorem 1.2 of [7].
In the following, we discuss the monotonicity of \(F(x; y; n)\) and \(H(x; y; n)\) which are defined as in Theorem 2.1.
Theorem 2.2
Let\(f: \Delta \subset \mathbb{R}^{2}\to \mathbb{R}\)be a coordinate convex function on\(\Delta =[a,b]\times [c,d]\). Then\({F(x,y;n)}\)decreasing, \({H(x,y;n)}\)is increasing and
Proof
On the one hand, we have
Setting \(A=\{1,3,\ldots , 2^{n+1}-1\}\) and \(B=\{2,4,\ldots , 2^{n+1}\}\), thus we obtain
which implies that
Since integration is sign-preserving, we know
So \({H(x,y;n)}\) is increasing.
On the other hand, we have
Setting \(C =\{2, 4, 6, \dots , 2^{n+1}-2\}\), we obtain
So \({y(x;n)}\) is decreasing.
Since integration is sign-preserving,we know
For the proof of the last assertions, since \(f(x,y)\) is continuous on \([a,b]\times [c,d]\), we use the following well known equalities:
So we obtain
□
By the above theorems, the following corollary can be easily obtained:
Corollary 2.1
Let\(f: \Delta =[a,b]\times [c,d] \to \mathbb{R}\)be a coordinate convex on Δ. Then
Remark 2.2
Corollary 2.1 shows that inequalities (21) are better than (3) and (4).
3 Conclusions
In this paper, we present some new Hermite–Hadamard inequalities for coordinate convex functions by defining two sequences \({F(x,y;n)}\) and \({H(x,y;n)}\),
which also are generalizations of some existing results. Moreover, we show the monotonicity of the sequences \({F(x,y;n)}\) and \({H(x,y;n)}\) in Theorem 2.2.
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Cao, H. A new Hermite–Hadamard type inequality for coordinate convex function. J Inequal Appl 2020, 162 (2020). https://doi.org/10.1186/s13660-020-02428-3
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DOI: https://doi.org/10.1186/s13660-020-02428-3
MSC
- 26D15
Keywords
- Hermite–Hadamard’s inequality
- Convex function
- Coordinates