Abstract
In this paper, we present some new and novel mappings defined over with the help of -convex functions. As a consequence, we obtain companions of Fejér-type inequalities for -convex functions with the help of these mappings, which provide refinements of some known results. The properties of these mappings are discussed as well.
MSC:
26D15; 26D20; 26D07
1. Introduction
The following double inequality has significant literary importance for convex functions since a number of inequalities for means and quadrature rules can be obtained from it, and is recognized to as the Hermite–Hadamard inequality [1,2]:
Let , with , be a convex function. Then,
the inequality holds in the reverse direction if is concave.
Fejér [3], established the following double inequality as a weighted generalization of (1):
where , with is any convex function and is non-negative integrable and symmetric about .
The following mappings on are of interest:
and
where is a convex function and is non-negative integrable and symmetric about .
There are several modifications and generalizations of these inequalities that can be found in [4,5,6,7,8,9,10,11,12,13,14,15,16]. In [4], Ardic et al. proved some Ostrowski-type inequalities using -convex and -convex functions. Ardic et al. also obtained some new inequalities for -convexity and -convex functions in [5]. In the articles [6,7,8,9], Dragomir established some Fejér-, Hermite–Hadamard- and Jensen-type inequalities. Dragomir et al. also obtained different Hermite–Hadamard-type and refinement inequalities for Lipschitzian and convex mappings in [10,11,12]. There are number of articles that contain Hermite–Hadamard- and Fejér-type inequalities for convex, - and -s-convex functions; see, for instance, [17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45]. These kinds of inequalities also have a broad set of applications (see [31,32,34,38,46] and the references therein). The important results that characterize the properties of the above mappings and inequalities are discussed by a number of mathematicians.
Dragomir [7] established a result using the mapping H, which refines the first inequality of (1). Dragomir obtained another refinement inequality of (1) in [12] related to the mappings H, G and L.
Tseng et al. [35] proved the following result and Yang and Tseng [40] used it to prove Fejér-type inequalities, which refines the first inequality of (2) with the help of the mapping .
Lemma 1
([35]). Let be a convex function and let with . Then,
In [35], Tseng et al. established results related to Fejér-type inequalities (2) using the mapping I to provide refinement inequalities of (2).
Further Fejér-type inequalities have also been proven by Tseng et al. in [36].
Theorem 1
([36]). Let ν, φ,I be defined as above. Then, the following Fejér-type inequalities hold:
- (i)
- The following inequality holds:
- (ii)
- If ν is differentiable on and φ is bounded on , then for all , the following inequalities hold:where .
- (iii)
- If ν is differentiable on , then, for all , we have the inequality
In the following theorems, we shall point out some inequalities from [36] for the mappings G, H, I, considered above:
Theorem 2
([36]). Let ν, φ, G, I be defined as above. Then, we have the following Fejér-type inequalities:
- (i)
- The following inequality holds for all :
- (ii)
- If ν is differentiable on and φ is bounded on , then, for all , we have the inequality:where .
Theorem 3
([36]). Let ν, φ, G, I, be defined as above. Then, we have the following results:
- (i)
- is convex on .
- (ii)
- The following inequalities hold for all :and
- (iii)
- The following bound is true:
One of the significant generalizations of the convex functions is geometrically, arithmetically convex functions, also known a -convex functions, stated below:
Definition 1
([7]). Suppose is an interval of positive real numbers. A function is considered to be GA-convex, if
for all and . A function is concave if the inequality in (12) reversed.
We state some important facts which relate -convex and convex functions and use them to prove the main results.
Theorem 4
([7]). If and the function is convex (concave) on , then the function is GA-convex (concave) on .
Remark 1.
It is obvious from Theorem 4 that if is GA-convex on , then is convex on . It follows that has finite lateral derivatives on and by gradient inequality for convex functions we have
where for any .
The following inequality of Hermite–Hadamard-type for -convex functions holds (see [27] for an extension for GA h-convex functions):
Theorem 5
([27]). Let be a GA-convex function and with . If then the following inequalities hold:
The notion of geometrically symmetric functions was introduced in [23].
Definition 2
([23]). A function is geometrically symmetric with respect to if
holds for all .
Fejér-type inequalities using -convex functions and the notion of geometric symmetric functions were presented in the work of Latif et al. [23].
Theorem 6
([23]). Let be a -convex function and with . If and is non-negative, integrable and geometrically symmetric with respect to ; then,
Suppose that is -convex on I and . Let be defined by
and
where is non-negative, integrable and geometrically symmetric with respect to .
Latif et al. [19] obtained the following refinements for the inequalities (14):
Theorem 7
([19]). A function , as above. Then,
- (i)
- is -convex on .
- (ii)
- We haveand
- (iii)
- increases monotonically on .
The following theorem holds:
Theorem 8
([19]). Let be as above. Then,
- (i)
- for all α in .
- (ii)
- is -convex on .
- (iii)
- We haveand
- (iv)
- The following inequality is valid:
- (v)
- decreases monotonically on and increases monotonically on .
- (vi)
- We have the inequality for all
Theorem 9
([19]). Let and be as defined above. Then,
- (i)
- is -convex on .
- (ii)
- The following hold:and
- (iii)
- increases monotonically on .
Theorem 10
([25]). Let be defined as above. Then, is GA-convex, increasing on , and for all , we have the following Fejér-type inequality
Motivated by the studies conducted in [10,11,12,13,15,16,30,31,32,33,34,35,36,40,41,42,43,44], we define some new mappings in connection to the inequalities (14) and (15) to prove to prove new Féjer type inequalities, which are variants of the inequalities given in Theorems 1–3 for GA-convex functions using novel techniques and using variant of Lemma 2 for GA-convex functions.
2. Main Results
Let us define some mappings on related to (15) and prove some refinement inequalities.
and
where is a -convex function and is non-negative integrable and symmetric about .
The following result is very important to establish the results of this section.
Lemma 2
([25]). Let be a -convex function and let with . Then,
Now, we present the first result, which is a variant of Theorem 1 for -convex functions.
Theorem 11.
Let ν, φ, be defined as above. Then,
- (i)
- The following inequality holds:
- (ii)
- If ν is differentiable on (interior of I) with and φ bounded on . Then, for all , the inequality inequalities hold:where .
- (iii)
- If ν is differentiable on (interior of I) with , then the inequalitieshold for all .
Proof.
- (i)
- By applying the techniques of integration and the assumptions on , we obtainandAccording to Lemma 2, the following inequalities hold for all and :The inequalitywhen , and in Lemma 2.The inequalitywhen , and in Lemma 2.The inequalitywhen , and in Lemma 2.The inequalitywhen , , and in Lemma 2.Finally, the inequalitywhen , , and in Lemma 2.
- (ii)
- is -convex on , hence the mapping defined by is convex on .By integration by parts, we find that following identity holds:Using substitution rules of integration and the hypothesis on , we have the following identities:andhold for all .Using the convexity of on and the hypothesis on , we obtain thatholds for all and .
- (iii)
- We use the fact that is -convex on ; hence, defined by is convex on . Thus,and
Adding the above inequalities,
The inequality (45) becomes
Example 1.
Let , ; then, according to Theorem 4, is a -convex function on . Moreover, the mapping is symmetric with respect to over the interval . Now,
and
The above calculations validate the inequality (25).
Let and consider now
and
The last two calculations prove that (26) is valid.
Lastly, for , we observe that
and
Hence, the last two calculations show that the inequality (27) is true as well.
Corollary 1.
Let () in Theorem 11. Then,
- (i)
- The following inequality holds:
- (ii)
- If ν is differentiable on (interior of I) with and φ bounded on , then for all , the inequality inequalities hold:
- (iii)
- If ν is differentiable on (Interior of I) with , then the inequalitieshold for all .
Proof.
If (), then
for all and therefore the proof is completed. □
Remark 2.
The inequalities (49) provide a refinement of Theorem 7.
Now, we provide a generalization of Theorem 2 using -convex mappings.
Theorem 12.
Let ν, φ, , , be defined as above. Then, we have the following Fejér-type inequalities:
- (i)
- The following inequality holds for all :
- (ii)
- If ν is differentiable on (interior of I) with and φ bounded on , then for all , the inequality inequalities hold:where .
Proof.
- (i)
- Using the suitable substitution and assumptions on , we obtain the following identity:By using Lemma 2, we observed that the following inequality holds for all and :when we take , , and in Lemma 2.
- (ii)
- Using an integration by parts, we have that the following identity holds on :Using the convexity of and the hypothesis of , the inequality holds for all and :
Example 2.
Let , , then according to Theorem 4, is -convex function on . Moreover, the mapping is symmetric with respect to over the interval . Now, for , we obtain
and
Thus, the validity of the inequality (52) in Theorem 12 is established.
Corollary 2.
Proof.
We can now prove the variant of Theorem 3 for GA-convex functions.
Theorem 13.
Let ν, φ, , and be defined as above. Then, the following Fejér-type inequalities hold:
- (i)
- is convex on .
- (ii)
- The following inequalities hold for all :and
- (iii)
- The following equality holds:
Proof.
- (i)
- It suffices to prove that the mapping is -convex on if and only the mapping defined byis convex for a convex mapping . Let , with . Then,This proves the harmonic convexity of on .
- (ii)
- Using substitution techniques of integration and under the hypothesis of , we have the following identities:By Lemma 2, the following inequalities hold for all and :The inequalityholds for the choices , and in Lemma 2.The inequalityholds for the choices , and in Lemma 2.Multiplying the inequalities (67), (68) by , integrating them over on , adding the resulting inequalities and using identities (54) and (66), we derive the first inequality of (62).Using the -convexity of and Theorem 7, the last part of (62) holds.
- (iii)
Example 3.
Let , . Then, according to Theorem 4, is -convex function on . Moreover, the mapping is symmetric with respect to over the interval . Now, for , we obtain
and
Thus, the validity of the inequality (62) in Theorem 13 is established.
The inequalities are very easy to verify with the functions given above and we omit the details for the readers.
Corollary 3.
Let , in Theorem 13. Then, we observe that
- (i)
- is convex on .
- (ii)
- The following inequalities hold for all :and
- (iii)
- The following equality holds:
Proof.
If we take , , then it has been proved earlier in Corollary 1 that .
Now,
for all . □
3. Conclusions
In this study, we have considered some mappings defined on , which are related to the Hermite–Hadamard and Fejér-type inequalities proven for -convex functions. We discussed very important properties of these mappings and obtained novel Hermite–Hadamard and Fejér-type inequalities using -convex function and geometrically symmetric functions. As a consequent, the obtained Hermite–Hadamard and Fejér-type inequalities provide some refinement inequalities. The results presented in this study can be a source for young researchers to further explore the topic of mathematical inequalities, especially related to the topic of generalization of convexity in details.
Funding
This work is supported by the Deanship of Scientific Research, King Faisal University under the Ambitious Researcher Track (Research Project Number GRANT2155).
Acknowledgments
The author is very thankful to all the anonymous referees for their very useful and constructive comments in order to present the paper in the present form.
Conflicts of Interest
The author declares no conflict of interest.
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