1. Introduction
For simplicity, in this paper we let be an interval.
Definition 1. A function is convex ifis true for any and . The inequality (1) is reversed if f is concave on I. Suppose that the function
is convex on
I,
with
, then
It is well known in the literature as the Hermite–Hadamard inequality.
In [
1], Dragomir and Agarwal obtained the following inequalities for the right part of (
2).
Theorem 1 (Theorem 2.2 in [
1])
. Suppose that and , the function is differentiable and is convex on , then Theorem 2 (Theorem 2.3 in [
1])
. Suppose that , , and , the function is differentiable and is convex on , then In the literature, the extensions of the arithmetic, geometric, identric, logarithmic, and generalized logarithmic mean from two positive real numbers are, respectively, defined by
It is well known that
for
with
, for example, see [
2].
Dragomir and Agarwal used Theorem 1 and Theorem 2 to establish the following error estimates on special means:
Theorem 3 (Propositions 3.1–3.4 in [
1])
. Suppose that , , , then In [
3], Pearce and Pečarić obtained a better upper bound for the inequality (
4). Moreover, they obtained a similar inequality on the left part of (
2).
Theorem 4 (Theorems 1 and 2 in [
3])
. Suppose that , and , the function is differentiable and is convex on , thenand By using Theorem 4, Pearce and Pečarić generalized and improved the error estimates (5)–(8) and obtained the following error estimates on special means:
Theorem 5 (Propositions 1 and 2 in [
3])
. Suppose that , , , , , then However, using their method could not obtain the corresponding estimate for
. In this paper, supposing that
is convex for some fixed
, we obtain some estimates of (
2). Moreover, if
, our results are the same as (
9) and (
10), respectively. As application, some error estimates on special means are given, then the inequalities (11)–(14) are improved.
2. Main Results
Theorem 6. Suppose that , and , the function is differentiable and is convex on .
Clearly, if
, then (
16) is the same as (
9).
Corollary 1. Suppose that and , the function is differentiable and is convex on , then for any , we have Proof. Let
in the inequality (
15) and we have the first inequality. Note that
, so the second inequality holds. By power–mean inequality, we can obtain the last inequality. □
Theorem 7. Suppose that , and , the function is differentiable, and is convex on .
Clearly, if
, then (
19) is the same as (
10). If we let
in the inequality (
18), then we have the following.
Corollary 2. Suppose that and , the function is differentiable, and is convex on , then for any , we have 3. Lemmas
Lemma 1 (Lemma 2.1 in [
1])
. Suppose that and , the function is differentiable, and , then Lemma 2 (Lemma 2.1 in [
4])
. Suppose that and , the function is differentiable, and , thenwhere The following result can be found in [
5]. For the convenience of readers, we provide the proof below.
Lemma 3 (Lemma 2.1 in [
5])
. Let .- (i)
If or , then - (ii)
If or , then
Proof. It is easy to see that every equality in (
23) and (
24) holds when
or
, so we suppose that
,
and
in the following.
First, we prove that the left parts of the inequalities (
23) and (
24) hold, respectively. Let
The following proof is divided into four cases.
- (1)
Note that , so . It follows that . Since , we have .
then
. It means that
is strictly decreasing on
. Note that
there exists
, such that
and
. Since
and
have the same sign, we obtain
and
. Note that
, and we have
. It follows that
. Because
, we have
.
then
. It means that
is strictly increasing on
. Note that
there exists
, such that
and
. Since
and
have the same sign and
, we have
. It follows that
. Note that
, and we have
.
- (4)
If , then . It means that is strictly decreasing in . Note that , and there exists , such that and . Since and have the same sign and , we have . It follows that . Then by , we have .
Next, we derive that the right parts of the inequalities (
23) and (
24) are true, respectively. Let
If
or
, then
. Note that
, we have
, and
. Then by
, we have
, so the right parts of the inequalities (
23) holds.
If
or
, then
. Note that
, we have
and
. Then by
, we have
, so the right parts of the inequalities (
24) holds.
The proof is complete. □
Lemma 4. Suppose that , , , , the function is positive, and is convex on .
Proof. Since
is convex and
, we have
If
, then
, by the right-hand side of the inequalities (
23), then
Thus, the inequality (
25) is valid.
If
, then
, by the left-hand side of the inequalities (
24) we have
Hence, the inequality (
26) is valid.
□
4. Derivation of Theorem 6 and 7
The derivation of Theorem 6: (i) If
, then by the inequalities (
21) and (
25), we can derive that
Note that
and
so (
15) is valid.
(ii) If
, then by (
21) and (
26), we have
so (
16) is valid.
The derivation of Theorem 7: (i) If
, then by (
22) and (
25) we can derive that
Note that
and
where the beta function is
Clearly,
is decreasing on
and
, then
(ii) If
, then by (
22) and (
26), we can induce that
5. Applications
In this section, we will use Corollary 1 and Corollary 2 to establish some error estimates on special means, then the inequalities (11)–(14) are improved.
Proposition 1. Suppose that , , , , or , then Proof. Let
,
,
,
or
, then
Thus,
is convex on
. It follows that (
27) and (
28) hold by using Corollary 1 and Corollary 2, respectively. □
Remark 1. For any , by the inequalities (17) and (20), we haveand Thus, for or , we obtain an improvement of the inequalities (11) and (12), which is an improvement of the inequalities (5) and (6).
Proposition 2. Suppose that , , , then Proof. Let
,
, then
Thus,
is convex on
. It follows that (
29) and (
30) hold by using Corollary 1 and Corollary 2, respectively. □
Remark 2. For any , by the inequalities (17) and (20), we haveand Thus, we obtain an improvement of the inequalities (13) and (14), which is an improvement of the inequalities (7) and (8).
Proposition 3. Suppose that , then Proof. Let
,
, then
Thus,
is convex on
. It follows that (
31) and (
32) hold by using Corollary 1 and Corollary 2, respectively. □
Author Contributions
Conceptualization, T.Z. and A.C.; methodology, T.Z.; validation, T.Z.; formal analysis, T.Z. and A.C.; investigation, T.Z.; resources, T.Z.; writing—original draft preparation, T.Z.; funding acquisition, T.Z. and A.C. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by the National Natural Science Foundation of China (No. 11761029, No. 62161044) and the Natural Science Foundation of Inner Mongolia (Grant No. 2021LHMS01008).
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
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