1. Introduction
For convex functions the following double inequality has great significance in the literature and is known as the Hermite-Hadamard’s inequality [
1,
2]:
Let
:
be a convex function, then
for all
with
. The inequality (
1) holds in reversed direction if
is concave. f Dragomir defined the following mappings
H,
F:
and
where
:
is a convex function and obtained some refinements between the middle and the left most terms in [
3] for (
1).
Theorem 1 ([
3])
. Let χ: be a convex function on . Then- (i)
H is convex on .
- (ii)
- (iii)
H increases monotonically on .
Theorem 2 ([
3])
. Let χ: be a convex function on . Then- (i)
for all
- (ii)
F is convex on .
- (iii)
- (iv)
is valid.
- (v)
χ increases monotonically on and decreases monotonically on
- (vi)
We have the inequality for all .
Yang and Hong [
4] provided an improvement between the middle and the right-most term by defining the following mapping
P:
where
:
is a convex function.
Theorem 3 ([
4])
. Let χ: be a convex function on . Then- (i)
P is convex on .
- (ii)
P increases monotonically on .
- (iii)
Fejér [
5], established the following double inequality as a weighted generalization of (
1):
where
:
,
with
is any convex function and
:
is a non-negative integrable with
.
These inequalities have many extensions and generalizations, see [
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34].
Teseng et al. [
35] refined inequalities (
2) by defining the following mappings on
:
and
where
:
is a convex function and
:
is a non-negative integrable with
.
By applying the result given below,
Lemma 1 ([
35])
. Let be a convex function and let with . Then Teseng et al. obtained the following important refinement inequalities.
Theorem 4 ([
35])
. Let χ: be a convex function and φ: is a non-negative integrable with . Then I is convex, increasing on , and for all , the Fejér-type inequalitieshold. Theorem 5 ([
35])
. Let χ: be a convex function and φ: is a non-negative integrable with . Then J is convex, increasing on , and for all , the Fejér-type inequalitieshold. Theorem 6 ([
35])
. Let χ: be a convex function and φ: is a non-negative integrable with . Then on . Theorem 7 ([
35])
. Let χ: be a convex function and φ: is a non-negative integrable with . Then M is convex, increasing on , and for all , the Fejér-type inequalitieshold valid. Theorem 8 ([
35])
. Let χ: be a convex function and φ: is a non-negative integrable with . Then M is convex, increasing on , and for all , the Fejér-type inequalitieshold true. Theorem 9 ([
35]).
Let χ: be a convex function and φ: is a non-negative integrable with . Then on . One of the generalizations of the convex functions is harmonic functions:
Definition 1 ([
36])
. Define as an interval of real numbers. We say that a function χ from I to is considered to be harmonically convex, iffor all and . Harmonically concave χ is defined as the inequality in (3) reversed. Using harmonic-convexity, the Hermite-Hadamard type yields the following result.
Theorem 10 ([
36])
. Let χ: be a harmonically convex function and with . If then the inequalitieshold. Let
:
be a harmonically convex mapping and let
:
be defined by
and
The author obtained the refinement inequalities for (
4) corresponding to the above mappings:
Theorem 11 ([
23])
. Let χ: be a harmonically convex function on . Then- (i)
S is harmonically convex on .
- (ii)
- (iii)
S increases monotonically on .
Theorem 12 ([
23])
. Let χ: be a harmonically convex function on . Then- (i)
The identityholds for all - (ii)
U is harmonically convex on .
- (iii)
- (iv)
The inequalityholds true. - (v)
U increases monotonically on and decreases monotonically on .
- (vi)
for all .
Theorem 13 ([
23])
. Let χ: be a harmonically convex function on . Then- (i)
V is harmonically convex on .
- (ii)
- (iii)
V increases monotonically on
Harmonic symmetricity of a function is given in the definition below.
Definition 2 ([
24])
. A function φ: is harmonically symmetric with respect to ifholds for all . Fejér type inequalities using harmonic convexity and the notion of harmonic symmetricity were presented in Chan and Wu [
25].
Theorem 14 ([
25])
. Let χ: be a harmonically convex function and with . If and φ: is non-negative, integrable and harmonically symmetric with respect to , then Chan and Wu [
25] also defined some mappings related to (
8) and discussed important properties of these mappings.
Motivated by the studies conducted in [
3,
4,
23,
35], we define some new mappings in connection to (
8) and prove new Féjer type inequalities, which indeed provide refinement inequalities as well.
2. Main Results
We state some important facts which relate harmonically convex and convex functions and use them to prove the main results of this paper.
Theorem 15 ([
26,
27])
. If and if we consider the function g: defined by , then χ is harmonically convex on , if and only if g is convex in the usual sense on . Theorem 16 ([
26,
27])
. If and χ is a convex and non-decreasing function, then χ is HA-convex and if χ is a HA-convex and non-increasing function, then χ is convex. Theorem 17 ([
26,
27])
. Let χ: be a HA-convex function and . Let be satisfying the boundsand μ-a.e. on Ω with . If , , then Let us now define some mappings on
related to (
8) and prove some refinement inequalities.
and
where
:
is a harmonically convex function and
:
is a non-negative integrable and symmetric about
.
Lemma 2 ([
28])
. Let be a harmonically convex function and let with . Then Theorem 18. Let be defined as above. Then is harmonically convex, increasing on and the Fejér-type inequalitieshold for all Proof. The mapping
is harmonically convex if and only if the mapping
defined by
is convex for a convex mapping
g:
. Let
,
with
, then
This proves the harmonic convexity of : .
By integrating and making the following assumptions on
, the following identity is true for [0,1]:
Let
,
with
. Choosing
and
Hence, according to Lemma 2, the inequality
holds for all
.
Multiplying (
11) by
, integrating both sides over
on
and using (
10), we derive
. Thus,
is increasing on
and then the inequality (
9) holds. □
Example 1. Let , , then χ is harmonically convex. Let , . It is clear that φ is harmonically symmetric with respect to . By using the techniques of integration, we observed the following calculations for :and The Figure 1 below validates the inequality (9) in Theorem 18. Remark 1. Let , in Theorem 18. Then , and the inequalities (9) take the formwhere S is defined by (5). Theorem 19. Let be defined as above. Then is harmonically convex, increasing on and the Fejér-type inequalitieshold for all . Proof. The harmonic convexity of on can be proved similarly as in proving the harmonic convexity of on .
The following identity holds on
:
Let
,
with
. Choosing
and
By using Lemma 2, we obtain the following inequality:
for all
.
In a similar way, with the choices
and
for
,
, where
and using Lemma 2, we obtain
where for all
.
Adding (
14) and (
15), multiplying both sides by
and then integrating over
, we get that
for
,
, where
. It is proved that
is increasing on
and hence the inequality (
12) is proved because of the fact that
. □
Example 2. Let , , then χ is harmonically convex. Let , . It is clear that φ is harmonically symmetric with respect to . By using the techniques of integration, we observed the following calculations for :and The Figure 2 below validates the inequality (9) in Theorem 19. A comparison between and is given in the theorem below:
Theorem 20. Let χ, φ, , be defined as above. Then on .
Proof. We observe that the following identities hold for all
and
:
and
Let
and
for all
and
.
Hence, by Lemma 2, the following inequality holds for all
and
:
Multiplying both sides by
and then integrating over
, we get that
for
. □
Example 3. Let , , then χ is harmonically convex. Let , . It is clear that φ is harmonically symmetric with respect to . By using the techniques of integration, we observed the following calculations for :and The Figure 3 below validates the inequality proved in Theorem 20. The following result demonstrates how the function attributes of are incorporated:
Theorem 21. Let be defined as above. Then is harmonically convex, increasing on and Fejér-type inequalityhold for all . Proof. We can prove the harmonic convexity of on by following the same method as that of proving the harmonic convexity of on in Theorem 18.
It is easy to observe that the following identity holds for all
and
:
According to Lemma 2, the following inequalities are valid for all
,
with
and
:
Adding (
20) and (
21) and multiplying both sides of the resulting inequality by
and then integrating over
, we get that
for
with
. Hence,
is increasing on
and thus the inequalities (
19) follow. □
Example 4. Let , , then χ is harmonically convex. Let , . It is clear that φ is harmonically symmetric with respect to . By using the techniques of integration, we observed the following calculations for :and The Figure 4 below validates the inequality (19) in Theorem 21. The properties of the mapping are presented in the given result:
Theorem 22. Let be defined as above. Then is harmonically convex, increasing on and the Fejér-type inequalitieshold for all . Proof. We can prove the harmonic convexity of on by following the same method as that of proving the harmonic convexity of on in Theorem 18.
It is easy to observe that
holds for all
and
.
According to Lemma 2, the given inequalities are valid for all
,
with
and
:
Multiplying both sides of (
23) by
and then integrating over
, we get that
for
with
. Hence,
is increasing on
and thus the inequalities (
22) follow. □
Example 5. Let , , then χ is harmonically convex. Let , . It is clear that φ is harmonically symmetric with respect to . By using the techniques of integration, we observed the following calculations for :and The Figure 5 below validates the inequality proved in Theorem 22. Remark 2. Let , in Theorem 18. Then , and the inequalities (22) becomewhere V is defined by (7). Theorem 23. Let χ, φ, , be defined as above. Then on .
Proof. We observe that the following identities hold for all
and
:
and
Let
and
for all
and
.
Hence, Lemma 2 gives the inequality
for all
and
.
Similarly with the choices
in Lemma 2, we get
Adding (
26) and (
27) and multiplying the result by
and then integrating over
, we get that
for
. □
Example 6. Let , , then χ is harmonically convex. Let , . It is clear that φ is harmonically symmetric with respect to . By using the techniques of integration, we observed the following calculations for :and The Figure 6 below validates the inequality proved in Theorem 23. Theorems 19–23 lead to the following Fejér-type inequalities.
Corollary 1. Let χ, φ be defined as above. Then Corollary 2. Let , in Corollary 1. Then the inequality (28) reduces to 3. Conclusions
Integral inequalities have become an emerging topic in the last three decades. Researchers are trying to find new proofs of the existing results and trying to investigate refinements of the existing results using novel ideas. In different directions of research in the field of inequalities and other fields of mathematics, convexity plays an important role in establishing new results and refinements of the existing results. Mathematicians are trying to find new and novel generalizations to generalize and refine the existing results. One the generalizations of the convex functions is known as harmonically convex functions, which has given rise to a number of novel results and refinements. In this study, we defined new mappings over the interval related to the Hermite-Hadamard and Fejér type inequalities, proved for harmonically-convex functions and obtained new Hermite-Hadamard and Fejér type inequalities using novel techniques and notions of harmonically convexity. The results obtained are not only the new Fejér type inequalities but also provide refinements of Hermite-Hadamard and Fejér type results already proven in the existing literature of mathematical inequalities. The research of this paper could be a source of inspiration for new researchers and for the researchers already working in the field of mathematical inequalities.
Funding
This work is supported by the Deanship of Scientific Research, King Faisal University under the Ambitious Researcher Track with Project Number GRANT3816.
Data Availability Statement
No data have been used in the manuscript.
Acknowledgments
The author would be very thankful to all the anonymous referees for their very useful and constructive comments in order to improve the paper.
Conflicts of Interest
The author declares no conflict of interest.
References
- Hadamard, J. Étude sur les propriétés des fonctions entières en particulier d’une function considérée par Riemann. J. Math. Pures Appl. 1983, 58, 171–215. [Google Scholar]
- Hermite, C. Sur deux limites d’une intégrale définie. Mathesis 1883, 3, 82. [Google Scholar]
- Dragomir, S.S. Two mappings in connection to Hadamard’s inequalities. J. Math. Anal. Appl. 1992, 167, 49–56. [Google Scholar] [CrossRef]
- Yang, G.S.; Hong, M.C. A note on Hadamard’s inequality. Tamkang J. Math. 1997, 28, 33–37. [Google Scholar] [CrossRef]
- Fejér, L. Über die Fourierreihen, II. Math. Naturwiss. Anz. Ungar. Akad. Wiss. 1906, 24, 369–390. (In Hungarian) [Google Scholar]
- Bagul, Y.J.; Chesneau, C.; Kostić, M.; Lutovac, T.; Malešević, B.; Rašajski, M. Convexity and double-sided Taylor’s approximations. Hacet. J. Math. Stat. 2023, 52, 560–571. [Google Scholar] [CrossRef]
- Dragomir, S.S. A refinement of Hadamard’s inequality for isotonic linear functionals. Tamkang J. Math. 1993, 24, 101–106. [Google Scholar] [CrossRef]
- Dragomir, S.S. On the Hadamard’s inequality for convex on the co-ordinates in a rectangle from the plane. Taiwan J. Math. 2001, 5, 775–788. [Google Scholar] [CrossRef]
- Dragomir, S.S. Further properties of some mapping associated with Hermite-Hadamard inequalities. Tamkang J. Math. 2003, 3, 45–57. [Google Scholar] [CrossRef]
- Dragomir, S.S.; Cho, Y.J.; Kim, S.S. Inequalities of Hadamard’s type for Lipschitzian mappings and their applications. J. Math. Anal. Appl. 2000, 245, 489–501. [Google Scholar] [CrossRef]
- Dragomir, S.S.; Milošević, D.S.; Sándor, J. On some refinements of Hadamard’s inequalities and applications. Univ. Belgrad. Publ. Elek. Fak. Sci. Math. 1993, 4, 3–10. [Google Scholar]
- Dragomir, S.S. On Hadamard’s inequality for convex functions. Mat. Balk. 1992, 6, 215–222. [Google Scholar] [CrossRef]
- Dragomir, S.S. On Hadamard’s inequality for the convex mappings defined on a ball in the space and applications. Math. Ineq. Appl. 2000, 3, 177–187. [Google Scholar] [CrossRef]
- Dragomir, S.S. On Hadamard’s inequality on a disk. J. Ineq. Pure Appl. Maht. 2000, 1, 2. [Google Scholar]
- Dragomir, S.S. On some integral inequalities for convex functions. Zb.-Rad. 1996, 18, 21–25. [Google Scholar]
- Dragomir, S.S.; Agarwal, R.P. Two new mappings associated with Hadamard’s inequalities for convex functions. Appl. Math. Lett. 1998, 11, 33–38. [Google Scholar] [CrossRef]
- Ho, M.-I. Fejér inequalities for Wright-convex functions. JIPAM J. Inequal. Pure Appl. Math. 2007, 8, 9. [Google Scholar]
- Hwang, D.Y.; Tseng, K.L.; Yang, G.S. Some Hadamard’s inequalities for co-ordinated convex functions in a rectangle from the plane. Taiwan J. Math. 2007, 11, 63–73. [Google Scholar]
- Lee, K.C.; Tseng, K.L. On a weighted generalization of Hadamard’s inequality for Gconvex functions. Tamsui-Oxford J. Math. Sci. 2000, 16, 91–104. [Google Scholar]
- Latif, M.A. Weighted Integral Inequalities for Harmonic Convex Functions in Connection with Fejér’s Result. Axioms 2022, 11, 564. [Google Scholar] [CrossRef]
- Latif, M.A. On Symmetrized Stochastic Harmonically Convexity and Hermite–Hadamard Type Inequalities. Axioms 2022, 11, 570. [Google Scholar] [CrossRef]
- Latif, M.A. Some Companions of Fejér-Type Inequalities for Harmonically Convex Functions. Symmetry 2022, 14, 2268. [Google Scholar] [CrossRef]
- Latif, M.A. Mappings related to Hermite-Hadamard type inequalities for harmonically convex functions. Punjab Univ. J. Math. 2022, 54, 665–678. [Google Scholar] [CrossRef]
- Latif, M.A.; Dragomir, S.S.; Momoniat, E. Fejér type inequalities for harmonically-convex functions with applications. J. Appl. Anal. Comput. 2017, 7, 795–813. [Google Scholar] [CrossRef]
- Chen, F.; Wu, S. Fejér and Hermite-Hadamard type inequalities for harmonically convex functions. J. Appl. Math. 2014, 2014, 386806. [Google Scholar] [CrossRef]
- Dragomir, S.S. Inequalities of Jensen type for HA-convex functions. Analele Univ. Oradea Fasc. Mat. 2020, XXVII, 103–124. [Google Scholar]
- Dragomir, S.S. Inequalities of Hermite-Hadamard Type for HA-Convex Functions. Moroccan J. Pure Appl. Anal. 2017, 3, 83–101. [Google Scholar] [CrossRef]
- Latif, M.A. Fejér type inequalities for harmonically convex functions. AIMS Math. 2022, 7, 15234–15257. [Google Scholar] [CrossRef]
- Tseng, K.L.; Hwang, S.R.; Dragomir, S.S. On some new inequalities of Hermite-Hadamard- Fejér type involving convex functions. Demonstr. Math. 2007, XL, 51–64. [Google Scholar]
- Tseng, K.L.; Hwang, S.R.; Dragomir, S.S. Fejér-type Inequalities (II). Math. Slovaca 2017, 67, 109–120. [Google Scholar] [CrossRef]
- Yang, G.S.; Tseng, K.L. On certain integral inequalities related to Hermite-Hadamard inequalities. J. Math. Anal. Appl. 1999, 239, 180–187. [Google Scholar] [CrossRef]
- Yang, G.S.; Tseng, K.L. Inequalities of Hadamard’s type for Lipschitzian mappings. J. Math. Anal. Appl. 2001, 260, 230–238. [Google Scholar] [CrossRef]
- Yang, G.S.; Tseng, K.L. On certain multiple integral inequalities related to Hermite-Hadamard inequalities. Utilitas Math. 2002, 62, 131–142. [Google Scholar]
- Yang, G.S.; Tseng, K.L. Inequalities of Hermite-Hadamard-Fejér type for convex functions and Lipschitzian functions. Taiwan J. Math. 2003, 7, 433–440. [Google Scholar]
- Tseng, K.L.; Hwang, S.R.; Dragomir, S.S. Fejér-Type Inequalities (I). J. Inequal. Appl. 2010, 2010, 531976. [Google Scholar] [CrossRef]
- İşcan, İ. Hermite-Hadamard type inequalities for harmonically convex functions. Hacet. J. Math. Stat. 2014, 43, 935–942. [Google Scholar] [CrossRef]
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