1. Introduction
Definition 1. Let I be an interval of real numbers. The function is said to be convex on I if for all and , one has the inequality: Let
be a convex function and
with
. Then, the following double inequality:
is known as the Hermite–Hadamard inequality for convex mapping. The inequalities in (
1) hold in reverse if
is a concave function.
In [
1], Hudzik and Maligranda introduced the definition of
s-convexity of real valued functions.
Definition 2. Let . A function is s-convex in the second sense providedfor all θ, and . The class of s-convex functions is denoted by . Remark 1. It is clear that s-convexity means just the convexity when .
In [
2], Dragomir and Fitzpatrick proved the following variant of Hermite–Hadamard’s inequality which holds for
s-convex function in the second sense:
Theorem 1 ([
2]).
Suppose that is an s-convex function in the second sense, where and let , . If , then the following inequalities hold:The constant is the best possible in the second inequality in (2). In the paper [
3], Varošanec considered a larger class of non-negative functions, which is known as the class of
h-convex functions. This class contains several well-known classes of functions such as non-negative convex functions,
s-convex functions in the second sense, Godunova–Levin functions and
P-functions.
Definition 3 ([
3]).
Let , where , be a positive function. A function is said to be h-convex or φ is said to belong to the class , if φ is non-negative for all , , we haveif the inequality is reversed then φ is said to be h-concave, and we say that φ belongs to the class . Fejér [
4] established the following double inequality as a weighted generalization of (
1):
where
,
,
with
is any convex function, and
is non-negative integrable symmetric function about
.
Bombardelli and Varošanec [
5] discussed that there no change in the properties associated with the integral mean of the function
if the class of convex functions is extended to the class of
h-convex functions. Bombardelli and Varošanec also proved Hermite–Hadamard–Fejér inequalities for an
h-convex function and discussed particular cases for other classes of functions such as convex functions and
s-convex functions. It has also been observed in this research that the left-hand side inequality of their result is stronger than the right-hand side inequality in that result. This study also contains several characteristics of the functions
defined by
and
that arise when the function
is an
h-convex function.
Let us now discuss some defintions and results related to coordinated convex, coordinated s-convex functions and -convex function on a rectangle in .
Let us now consider a bidimensional interval
in
with
and
. A mapping
is said to be convex on
if the following inequality:
holds for all
and
.
A modification for convex functions also known as coordinated convex functions was introduced by Dragomir in [
6].
Definition 4 ([
6]).
A function is said to be convex on the coordinates on Δ if the partial mappings and are convex where defined for all . A formal definition for coordinated convex functions may be stated as follows:
Definition 5 ([
7]).
A function is said to be convex on the coordinates on Δ if the following inequality:holds for all and . Clearly, every convex mapping
is convex on the coordinates. Furthermore, there exists a coordinated convex function which is not convex, see for instance the reference [
6].
The concept of
s-convex functions and
s-convex functions on the coordinates on
from the plane
in the second sense was introduced by Almoari and Darus in [
8].
Definition 6 ([
8]).
Let in with and . The mapping is s-convex in the in the second sense on Δ ifholds for all with with and for some fixed . We write φ∈ when φ is s-convex in the second sense. Definition 7 ([
8]).
A function is called s-convex in the second sense on the coordinates on Δ if the partial mappings and , are s-convex in the in the second sense for all , and , i.e, the partial mappings and are s-convex in the second sense with the same fixed . Lemma 1 ([
9]).
Every s-convex mapping in the second sense is s-convex on the coordinates on Δ in the second sense, but the converse is not true in general. Remark 2. The s-convexity on the coordinates on in the second sense does not imply the s-convexity in the second sense, that is there exist functions which are s-convex on the coordinates in the second sense but are not s-convex in the second sense on (see [9]). We refer the interested reader to [
8] (see also [
10]) for further modifications on
s-convex functions and
s-convex functions on the coordinates on
from
and related Hermite–Hadamard-type inequalities.
In [
6], Dragomir established the following similar inequality of Hermite–Hadamard-type for convex functions on the coordinates on a rectangle
from the plane
.
Theorem 2 ([
6]).
Suppose is a convex function on the coordinates on Δ. Then, one has the inequalities: In [
8,
9], Alomari and Darus proved the following variant of Hadamard-type inequalities for
s-convex functions on the coordinates in the second sense on a rectangle from the plane
.
Theorem 3 ([
8,
9]).
Suppose is an s-convex function in the second sense on the coordinates on Δ. Then, one has the inequalities:The above inequalities are sharp.
Yang [
11] considered a larger class known as coordinated (
)-(
)-convex functions that contains the coordinated convex functions and coordinated
-convex functions coordinated (
)-convex functions, coordinated (
)-convex functions and obtained some Hermite–Hadamard-type inequalities of this class of functions.
Definition 8 ([
11]).
Let Let be a nonnegative and non-zero function. A mapping is said to be ()-convex on the coordinates on Δ if the inequalityholds for all and . Definition 9 ([
11]).
Let , be two non-negative and non-zero functions. A mapping is said to be ()-()-convex function on the coordinates on Δ, if the partial mappings , and , are ()-convex with respect to u on and ()-convex with respect to v on respectively for all and . Remark 3. From the above definition, we can say that if φ is a coordinated ()-()-convex function, then the following inequality holds:for all and . An important result from [
11] is presented below:
Theorem 4 ([
11]).
Suppose is ()-()-convex function on the coordinates on Δ. Then, one has the inequalities: Letting in Theorem 4, we obtain the result for the coordinated -convex function on .
Theorem 5. Suppose is the ()-convex function on the coordinates on Δ. Then, one has the inequalities: The readers are also invited to see [
6,
7,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25] the research conducted on coordinated convex and different types of coordinated convex functions on rectangle from the plane.
Motivated by the research of Bombardelli and Varošanec [
5], the aim of this paper is to extend this research for functions of two variables that are coordinated (
)-convex functions on a rectangle from the plane
. We will prove that there is no change in the properties associated with the integral mean of the function
of two variables when the class of coordinated convex functions is extended to the class of coordinated
-convex functions. In this research, we also prove Hermite–Hadamard–Fejér-type inequalities for coordinated (
)-convex functions on a rectangle from the plane
and discuss particular cases for other classes of coordinated convex functions such as coordinated (
)-convex functions and on coordinated convex functions a rectangle from the plane
. We observe in our findings that the left-hand side inequality of our result is stronger than the right-hand side the inequality in that result. In this research, we also prove several characteristics of the mappings on the rectangle
defined by
and
that emerge when the function
is a coordinated (
)-convex function on a rectangle from the plane
.
2. Main Results
We begin with the result on the second Hermite–Hadamard–Fejér inequality for a coordinated -convex function on :
Theorem 6. Let be coordinated -convex function and be no-negative integrable and symmetric with respect to and . Then, If φ is coordinated -concave, the the inequality in (8) is reversed. Proof. For any , there exist , such that and , , .
From the definition of coordinated
-convex function, we have
and
Adding (
9)–(
12), integrating over
and using the symmetricity of the weight
w, we obtain
After making suitable substitution, we observe that all the integrals in the first line of the above inequality are equal to .
This completes the proof of the theorem. □
Remark 4. If , for all and , in Theorem 6, i.e., if φ is a coordinated convex function, we have the right-hand side of the Hermite–Hadamard-type inequality (4). If , for all and , , , in Theorem 6, i.e., if φ is a coordinated s-convex function in the second sense, then we have the following Hermite–Hadamard-type inequality: Definition 10 ([
3]).
A function is said to be a supermultiplicative function iffor all . If inequality (14) is reversed, then h is said to be a submultiplicative function. If the equality holds in (14), then h is said to be a multiplicative function. Theorem 7. Let be defined on and on , respectively. Suppose that is an -convex function on the coordinates on . If be non-negative, integrable and symmetric with respect to , and , thenwhere Furthermore, if for and if - (i)
, are multiplicative or
- (ii)
, are supermultiplicative, and φ is non-negative. If φ is an -convex function on the coordinates on , then the inequality (15) holds for
Proof. Let
be an
h-convex function. If
,
,
,
,
and
, from the definition of coordinated
-convex function, we have the following inequality:
Now, multiplying both sides of (
17) with
and integrating over
u on
, over
v on
, we obtain (
15), which holds in the general case.
Let
and
be supermultiplicative
, for
and hence
, for
. Similarly,
, for
. For any
,
and
z,
such that
and
, we have
and
Denote
,
, then
,
, we therefore have the following inequality:
Since
and
are supermultiplicative, we have
Hence, if
, we have
that is
The inequality (
18) holds if
and
are multiplicative regardless of the positivity of
.
From (
18), we have that the following inequality holds:
After the substitutions
,
in the first integral on the right-hand side and the substitution
,
in the integral in the second term of the sum, we obtain
where we have used the fact that the function
is symmetric on
, i.e.,
for all
. □
Remark 5. Suppose the assumptions of Theorem 7
- (a)
If φ is an -concave function on the coordinates on , then the inequality (15) holds in reversed direction. - (b)
If and are submultiplicative,, and if φ is an -concave function, then the inequality in (15) is reversed, and the constant can be obtained from (16) by changing min to max.
Remark 6. In Theorem 7
- (a)
If φ is convex on the coordinates on , i.e., and , then inequality (15) becomes the left-hand side of inequality (4). - (b)
Let for all and let φ be an -convex function on the coordinates on in the second sense, i.e., φ be an -convex function on the coordinates on with multiplicative and , . Then, the constant in Theorem 7 has a form From the graph below (Figure 1), we can observe thatfor all . Thus, the inequality (15) for the s-convex function on the coordinates on in the second sense takes the form The inequality (21) provides a refinement for the first inequality already proved in [9] for the -convex function on the coordinates on in the second sense.
Let us now consider the non-weighted Hermite–Hadamard-type inequalities for the
-convex function on the coordinates on
which can easily be obtained from Theorem 4 for
:
where
.
Let
and
be defined as
and
We now prove the following important result regarding the above mappings.
Theorem 8. Suppose that the mapping is an -convex function on the coordinates on , for all , , , thenfor all . Proof. The second non-weighted Hermite–Hadamard inequality (
22) on rectangles
,
,
and
gives us the following inequalities:
and
Adding (
24)–(
27) and applying the coordinated
-convexity, we obtain
Multiplying both sides of (
28) by 4, we obtain
From the second inequality in (
22), it is obvious that
. Hence, (
23) is established. □
Remark 7. Suppose that the assumptions of Theorem 8 are satisfied and , , then from (29) we obtain that 4. Applications to Means
If
f is a concave and
-convex function on the coordinates on
with
, then the classical Hermite–Hadamard-type inequalities (
4) and Theorems 6 and 7 give us
and
If
f is a concave and
-convex function on the coordinates on
with
, then the inequalites (
40) and (
41) hold in the reversed direction.
Let the functions and and be defined as , , , , , then
- (i)
the function is -convex on the coordinates on if and or and , .
- (ii)
the function is -convex on the coordinates on if and or and , .
Let us now consider the case when
p,
and
,
, then we have the inequalities
and
where
and
If
m,
and
and
, then the inequalities (
42) and (
43) hold in the reversed direction.