1
1 Introduction
Let us recall some definitions of various convex functions that are known in the literature.
Definition 1.1
A function
is said to be convex on the interval I, if for all
and
it satisfies the following inequality:
(1.1)
Definition 1.2
A function
is said to be MT-convex on I, if it is nonnegative and for all
and
it satisfies the following inequality:
(1.2)
Example of such functions are:
The functions
, where
The function
, where
Notice that these functions are not convex.
Definition 1.3
If
is a measurable space, then
is measurable if
for every Borel set
. A function
is Lebesgue measurable if
is a Lebesgue measurable subset of
for every Borel subset B of
.
Let us now consider a formal definition for co-ordinated convex functions:
Definition 1.4
A function
is said to be convex on the co-ordinates on
with
and
if for all
and
satisfies the following inequality:
(1.3)
Definition 1.5
The incomplete beta function is defined by
For
, the incomplete beta function coincides with the complete beta function.
Throughout this paper we denote by
the set of all Lebesgue integrable functions on
as indicated by the authors in Guo et al. (2016). Some integral inequalities of Hermite-Hadamard type for co-ordinated convex functions on the rectangle in the plane
may be recited as follows:
Theorem 1.1
Let
be convex on the co-ordinates on
with
and
. Then
Theorem 1.2
Let
be a twice partial differentiable mapping on
(the interior of
) and let
with
and
. If
is convex on the co-ordinates on
and
, then the following inequality holds:
where
and
For more information on integral inequalities of the Hermite-Hadamard type for various kinds of convex functions, the reader is referred to the recently published papers (Park, 2013; Guo et al., 2016; Meftah and Boukerrioua, 2015; Xi and Qi, 2015; Bai et al., 2016), and the closely related references therein.
In this paper, we will establish more integral inequalities of the Hermite-Hadamard type for MT-convex functions on the co-ordinates on a rectangle
in the plane
.
2
2 A definition and a lemma
Motivated by Definitions 1.1 and 1.3, we introduce the notion of “co-ordinated MT-convex function”.
Definition 2.1
We say that a function
is MT-convex on the co-ordinates on
with
and
, if it is nonnegative and for all
and
it satisfies the following inequality:
(2.1)
Now, we give an example to show that a function can be MT-convex on the co-ordinates on
without being convex on the co-ordinates on
. The function
, where
is MT-convex on the co-ordinates on
while this is not convex on the co-ordinates on
.
In order to prove our main results, we need the following lemma.
Lemma 2.1
Let
be a twice partial differentiable mapping on
and let
with
and
. Then the following equality holds:
(2.2)
Proof
By integration by parts, we have
Similarly, we find
and
This ends the proof. □
3
3 Some integral inequalities of the Hermite-Hadamard type
Now we start off to establish some integral inequalities of the Hermite-Hadamard type for the above-introduced MT-convex functions on the co-ordinates.
Theorem 3.1
Let
be a twice partial differentiable mapping on
(the interior of
) and let
with
and
. If
is MT-convex on the co-ordinates on
and
, then the following inequality holds:
where
and
Proof
By using Lemma 2.1 and by changing the variables
and
, we have
Using the MT-convexity of
on the co-ordinates on
and the power-mean integral inequality, we have
This ends the proof. □
Remark 3.1
Under the assumptions of Theorem 3.1, when
, we have
Theorem 3.2
Let
be a twice partial differentiable mapping on
and let
with
. If
is MT- convex on the co-ordinates on
and
, then the following inequality holds:
where
is defined in Theorem 3.1 and
Proof
By using Lemma 2.1 and by changing the variables
and
, we have
Now, by using the MT-convexity of
on the co-ordinates on
and Hölder’s inequality, we have
This ends the proof. □
Remark 3.2
Under the assumptions of Theorem 3.2, when
, we have
Theorem 3.3
Let
be a twice partial differentiable mapping on
and let
with
. If
is MT-convex on the co-ordinates on
and
, then the following inequality holds:
where
is defined in Theorem 3.1 and
Proof
By using Lemma 2.1, the MT-convexity of
on the co-ordinates on
, Hölder’s inequality and changing the variables
and
, we have
Theorem 3.3 is thus proved. □
Theorem 3.4
Let
be a twice partial differentiable mapping on
and let
with
. If
is an MT- convex on the co-ordinates on
and
, then the following inequality holds:
where
is as defined in Theorem 3.1 and
Proof
From Lemma 2.1, the MT-convexity of
on the co-ordinates on
, Hölder’s inequality and changing the variables
and
, we have
Theorem 3.4 is thus proved. □
Remark 3.3
Under the assumptions of Theorem 3.4, when
, we have