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Abstract
In the paper, the authors establish some new Hermite–Hadamard type inequalities for differentiable co-ordinated convex functions of two variables.
Public Interest Statement
In the paper, the authors establish some new Hermite–Hadamard type inequalities for differentiable co-ordinated convex functions of two variables.
1. Introduction
The following definitions are well known in the literature.
Definition 1.1.
A function , if
is valid for all and
, then we say that f is a convex function on I.
Many important inequalities have been established for the class of convex functions, but the most famous is the Hermite–Hadamard inequality (see for instance Pečarić, Proschan, & Tong, Citation1991). This double inequality is stated as
where a convex function, a, b ∊ I with a < b.
A modification for convex functions on Δ, which are also known as co-ordinated convex functions, was introduced by Dragomir (Citation2001) and Dragomir and Pearce (Citation2000) as follows.
Definition 1.2.
A function is said to be convex on the co-ordinates on Δ = [a, b] × [c, d]
with a < b and c < d if the partial mappings
are convex where defined for all (x, y) ∊ Δ.
A formal definition for co-ordinated convex functions may be stated as follows.
Definition 1.3.
A function is said to be convex on the co-ordinates on Δ = [a, b] × [c, d]
with a < b and c < d if
for all .
The following Hermite–Hadamard type inequality for co-ordinated convex functions on the rectangle form the plane was also proved in Dragomir (Citation2001).
Theorem 1.1.
(Dragomir, Citation2001) Let be convex on the co-ordinates on Δ. Then
Theorem 1.2.
(Ozdemir, Akdemir, Kavurmaci, & Avci, Citation2011) Let be a partial differentiable function on Δ. If
is convex on the co-ordinates on Δ, then
where
Theorem 1.3.
(Latif & Dragomir, Citation2012) Let be a partial differentiable function on Δ. If
is convex on the co-ordinates on Δ, then
where
2. Main results
The following lemma is necessary and plays an important role in establishing our main results:
Lemma 2.1.
Let be a twice partial differentiable mapping on Ω° (the interior of Ω) and let Δ: = [a, b] × [c, d] ⊆ Ω° with a < b and c < d. If
, where L1(Δ) denotes the set of all Lebesgue integrable functions on Δ, then
Proof
By integration by parts, we have
Similarly, we have
and
The proof of Lemma 2.1 is complete.
Theorem 2.1.
Let be a twice partial differentiable mapping on Ω° (the interior of Ω) and let Δ: = [a, b] × [c, d] ⊆ Ω° with a < b, c < d and
, where L1(Δ) denotes the set of all Lebesgue integrable functions on Δ. If
is convex on the co-ordinates on Δ and q ≥ 1, then the following inequality holds:
where and
Proof.
Using Lemma 2.1, since is convex on the co-ordinates on Δ and Hölder inequality, then
Theorem 2.1 is proved.
If taking q = 1 in Theorem 2.1, we can derive the following corollary.
Corollary 2.1.1.
Under the conditions of Theorem 2.1, when q = 1, we have
Theorem 2.2.
Let be a twice partial differentiable mapping on Ω° (the interior of Ω) and let Δ: = [a, b] × [c, d] ⊆ Ω° with a < b, c < d and
, where L1(Δ) denotes the set of all Lebesgue integrable functions on Δ. If
is convex on the co-ordinates on Δ and q > 1, then the following inequality holds:
where g(r1, r2, r3, r4) is defined in Theorem 2.1.
Proof.
Using Lemma 2.1, and is convex on the co-ordinates on Δ and Hölder’s inequality, we have
Theorem 2.2 is proved.
Theorem 2.3.
Let be a twice partial differentiable mapping on Ω° (the interior of Ω) and let Δ: = [a, b] × [c, d] ⊆ Ω° with a < b, c < d and
, where L1(Δ) denotes the set of all Lebesgue integrable functions on Δ. If
is convex on the co-ordinates on Δ and q > 1, then the following inequality holds:
where g(r1, r2, r3, r4) is defined in Theorem 2.1.
Proof.
By Lemma 2.1, since is convex on the co-ordinates on Δ and Hölder’s inequality, we get
Theorem 2.3 is proved.
Theorem 2.4.
Let be a twice partial differentiable mapping on Ω° (the interior of Ω) and let Δ: = [a, b] × [c, d] ⊆ Ω° with a < b, c < d and
, where L1(Δ) denotes the set of all Lebesgue integrable functions on Δ. If
is convex on the co-ordinates on Δ and q ≥ 1 and q ≥ r, s > 0 then the following inequality holds:
where g(r1, r2, r3, r4) is defined in Theorem 2.1.
Proof.
Using Lemma 2.1, and is convex on the co-ordinates on Δ and Hölder inequality, we have
Theorem 2.4 is proved.
If taking r = s = q in Theorem 2.4, we can derive the following corollary.
Corollary 2.4.1.
Under the conditions of Theorem2.4, when r = s = q, we have
where g(r1, r2, r3, r4) is defined in Theorem 2.1.
Acknowledgements
The authors appreciate the anonymous referees for their careful corrections to and valuable comments on the original version of this paper.
Additional information
Funding
Notes on contributors
Xu-Yang Guo
Xu-Yang Guo is being a graduate for master degree of science in applied mathematics at Inner Mongolia University for Nationalities. Her supervisor is the third author, Professor Bo-Yan Xi. Currently, her research interests are in the areas of mathematical inequalities and convex analysis.
References
- Dragomir, S. S. (2001). On Hadamard inequality for convex functions on the co-ordinates in a rectangle from the plane. Taiwanese Journal of Mathematics, 5, 775–788.
- Dragomir, S. S., & Pearce, C. E. M. (2000). Selected topics on Hermite–Hadamard inequalities and applications (RGMIA Monographs). Victoria University. Retrieved from http://rgmia.org/monographs/hermite_hadamard.html
- Latif, M. A., & Dragomir, S. S. (2012). On some new inequalities for differentiable co-ordinated convex functions. Journal of Inequalities and Applications, 2012, 28. doi:10.1186/1029-242X-2012-28
- Ozdemir, M. E., Akdemir, A. O., Kavurmaci, H., & Avci, M. (2011). On the Simpson’s inequality for co-ordinated convex functions. arXiv:1101.0075.
- Pečarić, J. E., Proschan, F., & Tong, Y. L. (1991). Convex functions, partial ordering and statistical applications. New York, NY: Academic Press.