We do not only give the extensions of the results given by Gill et al. (1997) for
log-convex functions but also obtain some new Hadamard-type inequalities for log-convex
-convex, and
-convex functions.
1. Introduction
The following inequality is well known in the literature as Hadamard's inequality:
(11)where
is a convex function on the interval
of real numbers and
with
This inequality is one of the most useful inequalities in mathematical analysis.
For new proofs, note worthy extension, generalizations, and numerous applications
on this inequality; see ([1–6]) where further references are given.
Let
be on interval in
. Then
is said to be convex if, for all
and
,
(12)(see [5], Page 1). Geometrically, this means that if
, and
are three distinct points on the graph of
with
between
and
, then
is on or below chord 
Recall that a function
is said to be log-convex function if, for all
and
, one has the inequality (see [5], Page 3)
(13)It is said to be log-concave if the inequality in (1.3) is reversed.
In [7], Toader defined
-convexity as follows.
Definition 1.1.
The function
,
is said to be
-convex, where
, if one has
(14)for all
and
We say that
is
-concave if
is
-convex.
Denote by
the class of all
-convex functions on
such that
(if
). Obviously, if we choose
Definition 1.1 recaptures the concept of standard convex functions on 
In [8], Miheşan defined
-convexity as in the following:
Definition 1.2.
The function
,
, is said to be
-convex, where
, if one has
(15)for all
and
.
Denote by
the class of all
-convex functions on
for which
. It can be easily seen that for 
-convexity reduces to
-convexity and for
,
-convexity reduces to the concept of usual convexity defined on
,
.
For recent results and generalizations concerning
-convex and
-convex functions, see ([9–12]).
In the literature, the logarithmic mean of the positive real numbers
is defined as the following:
(16)(for
, we put
).
In [13], Gill et al. established the following results.
Theorem 1.3.
Let
be a positive,
-convex function on
. Then
(17)where
is a logarithmic mean of the positive real numbers as in (1.6).
For
a positive
-concave function, the inequality is reversed.
Corollary 1.4.
Let
be positive
-convex functions on
. Then
(18)If
is a positive
-concave function, then
(19)For some recent results related to the Hadamard's inequalities involving two
-convex functions, see [14] and the references cited therein. The main purpose of this paper is to establish
the general version of inequalities (1.7) and new Hadamard-type inequalities involving
two
-convex functions, two
-convex functions, or two
-convex functions using elementary analysis.
2. Main Results
We start with the following theorem.
Theorem 2.1.
Let
be
-convex functions on
and
with
. Then the following inequality holds:
(21)where
is a logarithmic mean of positive real numbers.
For
a positive
-concave function, the inequality is reversed.
Proof.
Since 
are
-convex functions on
, we have
(22)for all
and
Writing (2.2) for
and multiplying the resulting inequalities, it is easy to observe that
(23)for all
and 
Integrating inequality (2.3) on
over
, we get
(24)As
(25)
(26)the theorem is proved.
Remark 2.2.
By taking
and
in Theorem 2.1
we obtain (1.7).
Corollary 2.3.
Let
be
-convex functions on
and
with
. Then
(27)If 
are positive
-concave functions, then
(28)Proof.
Let 
be positive
-convex functions. Then by Theorem 2.1 we have that
(29)for all
, whence (2.7). Similarly we can prove (2.8).
Remark 2.4.
By taking
and
in (2.7) and (2.8)
we obtain the inequalities of Corollary 1.4.
We will now point out some new results of the Hadamard type for log-convex,
-convex, and
-convex functions, respectively.
Theorem 2.5.
Let
be
-convex functions on
and
with
Then the following inequalities hold:
(210)Proof.
We can write
(211)Using the elementary inequality
(
reals) and equality (2.11), we have
(212)Since
are
-convex functions, we obtain
(213)for all
and
.
Rewriting (2.12) and (2.13), we have
(214)
(215)Integrating both sides of (2.14) and (2.15) on
over
, respectively, we obtain
(216)Combining (2.16), we get the desired inequalities (2.10). The proof is complete.
Theorem 2.6.
Let
be
-convex functions on
and
with
Then the following inequalities hold:
(217)where
is a logarithmic mean of positive real numbers.
Proof.
From inequality (2.14), we have
(218)for all
and 
Using the elementary inequality
(
reals) on the right side of the above inequality, we have
(219)Since
are
-convex functions, then we get
(220)Integrating both sides of (2.19) and (2.20) on
over
, respectively, we obtain
(221)Combining (2.21), we get the required inequalities (2.17). The proof is complete.
Theorem 2.7.
Let
be such that
is in
, where
. If
is nonincreasing
-convex function and
is nonincreasing
-convex function on
for some fixed
then the following inequality holds:
(222)where
(223)
(224)Proof.
Since
is
-convex function and
is
-convex function, we have
(225)for all
. It is easy to observe that
(226)Using the elementary inequality
(
reals), (2.25) on the right side of (2.26) and making the charge of variable and
since
is nonincreasing, we have
(227)Analogously we obtain
(228)Rewriting (2.27) and (2.28), we get the required inequality in (2.22). The proof is complete.
Theorem 2.8.
Let
be such that
is in
, where
. If
is nonincreasing
-convex function and
is nonincreasing
-convex function on
for some fixed
Then the following inequality holds:
(229)where
(230)
(231)Proof.
Since
is
-convex function and
is
-convex function, then we have
(232)for all
. It is easy to observe that
(233)Using the elementary inequality
(
reals), (2.32) on the right side of (2.33) and making the charge of variable and
since
is nonincreasing, we have
(234)Analogously we obtain
(235)Rewriting (2.34) and (2.35), we get the required inequality in (2.29). The proof is complete.
Remark 2.9.
In Theorem 2.8, if we choose
, we obtain the inequality of Theorem 2.7.
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