1. Introduction
The term Quantum Calculus in mathematics describes a form of calculus that proceeds without the concept of a limit. It is also referred to as
q-calculus and is essentially constructed around the concept of finite difference re-scaling. It was first addressed at the beginning of the 18th century. Euler first developed the
q-calculus and Jackson first presented the
q-integral and
q-derivative in Ref. [
1] (see also Ref. [
2]). There are many implementations of
q-calculus in physics and mathematics, including orthogonal polynomials, quantum theory, mechanics, number theory, combinatorics, fundamental hypergeometric functions, and theory of relativity. For examples, see Refs. [
3,
4,
5,
6,
7]. The basic understanding in addition to the underlying ideas of quantum theory are discussed and explored in the famous book by Cheung and Kac [
8].
Tariboon and Ntouyas [
9] created an entirely novel field of study, acquired numerous
q-analogues of classical mathematical objects, and presented the notions of quantum calculus on finite intervals. They have, for example, extended some prominent integral inequalities to the
q-calculus. This stimulated other investigators and, as a result, multiple innovative results via quantum equivalents of classical mathematical results were put forward in the literature.
In the domain of applied mathematics, fractional calculus encompasses the investigation and implementation of arbitrary order integrals and derivatives. Tariboon et al. [
10] investigated a new operator, namely
q-shifting operator
for analyzing new ideas related to fractional
q-calculus. In addition, since numerous inequalities are crucial for mathematical analysis, which depends on inequalities, Tariboon et al. examined and discussed some
q-integral inequalities in the frame of fractional calculus such as the
q-Korkine equality, the
q-Grüss, the
q-Hölder, the fractional
q-H-H, the
q-Polya–Szeqö, and the
q-Grüss–Chebyshev integral inequality on finite intervals. For details, see the monograph [
11].
The -calculus is an extended form of q-calculus. This calculus has a lot of importance and plays remarkable roles in physics and applied mathematics such as dynamical systems, mechanics, special functions, combinatorics, fractals, and number theory. In case of p this calculus collapses to the q-calculus.
Due to its numerous implementations in physics and mathematics, mathematical inequalities have significant implications in both of these fields. Convex functions are among the most important functions that have been utilized to analyze numerous intriguing inequalities, which is defined as:
Definition 1. A function is called convex, iffor all and Hermite [
12] and Hadamard [
13] first introduced and investigated the H-H inequality. This inequality is considered one of the most important concepts in applied and pure mathematics, with diverse and significant applications. It holds a prominent place in the study of convexity and is widely recognized for its geometrical interpretation. The H-H inequality has been extensively explored in the literature, highlighting its importance and unique properties. Numerous scholars have contributed various ideas in the field of inequalities. Due to its widespread perspective in the field of science, this inequality has become a dynamic and highly intriguing topic, and it has been extensively discussed in the context of convex functions. This inequality states that if real valued function
is convex on
I and
with
then
Dragomir and Aqarwal presented the following inequality associated with the right part of (
1).
Theorem 1 ([
14]).
Let be a differentiable mapping on (the interior of an interval I), with If is convex on then The goal of this study is to provide an in-depth and current overview of H-H-type inequalities for various types of convexities in the frame of quantum calculus. In each part and subsection, we initially describe the fundamental definitions of various types of convexities and quantum calculus, followed by the results on H-H inequalities. We anticipate that compiling practically all current H-H-type inequalities in one file will assist new researchers in the field in learning about prior work on the topic before creating new findings.
This survey is devoted to reviewing the results on H-H type inequalities in quantum calculus, which is associated with a variety of classes of convexities. This review article is constructed in the following manner. In
Section 2 we introduce the reader to the basic concepts of
q-calculus and summarize quantum H-H inequalities for many classes of convexities, including classical convex functions, quasi-convex functions,
p-convex functions,
-convex functions, modified
-convex functions,
-convex functions,
-convex functions,
-quasi-convex functions,
-convex functions,
-convex functions,
-quasi-convex functions, and coordinated convex functions. Quantum H-H type inequalities via preinvex functions and Green functions are also presented. In
Section 3, we present H-H inequalities via fractional quantum calculus, while in
Section 4 we consider H-H inequalities regarding
-calculus. In
Section 5, we include results for
h-calculus and finally, in
Section 6, we present the results on
-calculus.
It is crucial to consider that the primary goal of this review paper is to provide insight into the current state of the field, address evident gaps, highlight essential research, and potentially establish consensus in areas where it has not yet been achieved. The goal of this review paper is to provide a concise overview of the most recent advances in a specific field, namely convex analysis in the context of quantum calculus. Overall, the present level of knowledge on convexity is summarized in this review paper. It helps the reader comprehend the topic by discussing the findings reported in current research documents. The incorporation of relevant results is essential to demonstrate the progress in the field, as our goal is to present a more comprehensive and accurate review. However, lengthy proofs are excluded from this paper, and readers are instead directed to the respective article for more detailed information.
2. H-H Type Inequalities via Quantum Calculus
Here, we add some fundamental concepts of q-calculus.
Definition 2 ([
1]).
Assume that and π is a function defined on a q-geometric set i.e., Then the q-derivative is defined as For
we set
and define the definite
q-integral of a function
by
provided that the series converges.
Now we extend the notions of the q-integral and q-derivative on finite intervals.
Definition 3 ([
15]).
Assume that function is continuous. Thenis called the -derivative of π at Definition 4 ([
15]).
The q-integral states thatfor , where π is a real-valued continuous function. Quantum H-H type inequalities for -integral and a variety of convex functions
In the following theorems we present quantum H-H type inequalities for many kinds of convex function. We start with results on classical convex and quasi-convex functions.
Definition 5 ([
16]).
A real-valued function π is called quasi-convex, iffor all and Theorem 2 ([
17]).
Let function be differentiable and convex on and Then Note that when
the above inequality is reduced to classical H-H inequality (
1).
Theorem 3 ([
17]).
Assume that π is as in Theorem 2. Then we havewhere Theorem 4 ([
17]).
Assume that function is q-differentiable on , is integrable and continuous on and If is convex on , then Theorem 5 ([
17]).
Assume that π is as in Theorem 4. If is convex on for then Theorem 6 ([
17]).
Assume that π is as in Theorem 4. If is quasi-convex on for thenwhere Theorem 7 ([
18]).
Let function be a twice q-differentiable on with be integrable and continuous on I where If is convex on where then Theorem 8 ([
18]).
Assume that π is as in Theorem 7. If is convex on , thenwhere . Theorem 9 ([
19]).
Assume that π is as in Theorem 7. If is quasi-convex on , thenfor Theorem 10 ([
19]).
Assume that π is as in Theorem 7. If is quasi-convex on , thenwhere Theorem 11 ([
20]).
Let function be q-differentiable on the interior with be integrable and continuous on I. If is convex, thenwhere and . Theorem 12 ([
20]).
Assume that π is as in Theorem 11. If function is convex, thenwhere . Theorem 13 ([
20]).
Assume that π is as in Theorem 11. If function is quasi-convex, thenwhere . Theorem 14 ([
20]).
Assume that π is as in Theorem 11. If function is quasi-convex, thenwhere . Theorem 15 ([
21]).
Assume that real-valued function π is continuous on If is convex and integrable on then Theorem 16 ([
21]).
Assume that is continuous. If is convex and integrable on thenwhere . We continue with quantum H-H type inequalities for s-convex functions in the second sense.
Definition 6 ([
22]).
A real-valued function π on is s-convex in the second sense iffor all and Theorem 17 ([
23]).
Let be a continuous function which is s-convex in the second sense, If and π is q-differentiable on then Theorem 18 ([
23]).
Suppose that for the q-derivative exists on with If is continuous and q-integrable on and is s-convex in the second sense, with thenwhere Results of the q-H–H type inequalities for differentiable convex functions with a critical point are included in the next theorems.
Theorem 19 ([
24]).
Assume that function is differentiable convex on and , for and . Thenwhere In the following we state results on H-H type quantum inequalities based on -convex functions.
Definition 7 ([
25]).
The non-negative real-valued function π is -convex function on if Theorem 20 ([
26]).
Let function be -convex. Then Theorem 21 ([
26]).
Let function be q-differentiable on with be integrable and continuous on . If function is -convex, thenwhere Theorem 22 ([
26]).
Assume that π is as in Theorem 21. If function is -convex, then The q-H-H type inequalities for double integrals are given next.
Theorem 23 ([
27]).
Assume that and real-valued function π is convex on . Thenhold for all with Theorem 24 ([
28]).
Let π be as in Theorem 23. Then we havefor all Theorem 25 ([
28]).
Assume that and real-valued function π is q-differentiable function on . Thenfor all Theorem 26 ([
28]).
Let real-valued function π be a q-differentiable convex continuous, which is defined at the point and Thenfor all Theorem 27 ([
28]).
Assume that π is as in Theorem 26. Thenfor all We will now give some results on quantum H-H type inequalities via -quasiconvex functions.
Definition 8 ([
29]).
A real-valued function π is called η-quasiconvex on with respect to iffor all and Theorem 28 ([
30]).
Assume that and a real-valued function π is q-differentiable on with continuous on . If is η-quasiconvex on thenwhere Theorem 29 ([
30]).
Assume that π is as in Theorem 28. If is η-quasiconvex on for with then for all we havewhere and Following are the results on quantum H-H type inequalities concerning -convex functions.
Definition 9 ([
31]).
A real-valued function π is convex with respect to φ (or φ-convex) on iffor all and Definition 10 ([
31]).
A real-valued function π is φ-quasiconvex on iffor all and Theorem 30 ([
32]).
Let and function be a twice q-differentiable on with integrable and continuous on If is φ-convex on for then Theorem 31 ([
32]).
Assume that π is as in Theorem 30. If is φ-convex on where then We will provide in the next results on q-Hermite–Hadamard inequalities based on -convex functions.
Definition 11 ([
33]).
A function is called -convex, if for every and one haswhere Theorem 32 ([
34]).
Let function be a twice q-differentiable on and be integrable and continuous on If is -convex on then Theorem 33 ([
34]).
Let π be as in Theorem 32. If is -convex on then Now we define the -derivative and -integral of a function and present the corresponding H-H type quantum inequalities.
Definition 12 ([
35]).
Assume is a continuous function. Then the expressionis called -derivative of π at Definition 13 ([
35]).
The right q-integral of is given by Quantum H-H type inequalities for -integral.
Theorem 34 ([
35]).
Let function be convex on and Then Theorem 35 ([
36]).
Let function be twice -differentiable on such that is integrable and continuous on If is convex on then Theorem 36 ([
36]).
Assume that π is as in Theorem 35. If is convex on thenwhere Theorem 37 ([
36]).
Assume that π is as in Theorem 35. If is convex on and then Theorem 38 ([
37]).
Let function be q-differentiable on and If is integrable and continuous on and is convex on then Theorem 39 ([
37]).
Assume that π is as in Theorem 38. Thenwhere Theorem 40 ([
38]).
Let function be convex differentiable on and Then we have: Theorem 41 ([
38]).
Let π be as in Theorem 40. Then we have: Theorem 42 ([
38]).
Let be a convex function on and Thenfor all Theorem 43 ([
39]).
Let function be differentiable and convex on and Then Theorem 44 ([
39]).
Let function be differentiable and convex on such that for and Then The next results concern quantum -H-H type inequalities for -convex functions.
Theorem 45 ([
40]).
Let function be a twice -differentiable on such that is integrable and continuous on If is -convex on thenwhere Theorem 46 ([
40]).
Assume that π is as in Theorem 45. If is -convex on then Quantum H-H type inequalities for and -integrals.
Now, we give H-H inequalities involving left and right quantum integrals.
Theorem 47 ([
41]).
Let function be q-differentiable such that and are integrable and continuous on If and are convex, then: Theorem 48 ([
41]).
Let π be as in Theorem 47. If and are convex, then: Theorem 49 ([
41]).
Assume that π is as in Theorem 47. If and are convex, then: Theorem 50 ([
42]).
Let function be convex. Then Theorem 51 ([
42]).
Let and and be continuous and integrable on If and are convex, then Theorem 52 ([
42]).
Assume that π is as in Theorem 51. If and are convex, then Theorem 53 ([
42]).
Let π be as in Theorem 51. If and are convex, then Theorem 54 ([
42]).
Assume that π is as in Theorem 51. If and are convex, thenwhere Theorem 55 ([
43]).
Let the real valued function π be s-convex in the second sense and with If then for The following H-H type inequalities depend on a parameter.
Theorem 56 ([
44]).
Let function be convex on with Thenfor all Theorem 57 ([
44]).
Let function be a convex on with Thenfor all Theorem 58 ([
44]).
Let function be q differentiable, with and be q-integrable and continuous over If | and are convex on , thenfor all Now we present q-H-H integral inequalities regarding the family of and extended sort of -convex functions.
Definition 14 ([
45]).
A function is called p-convex, iffor all and Theorem 59 ([
46]).
Let be p-convex on with with and Then Definition 15 ([
46]).
A real-valued function π is -convex function, iffor all and Theorem 60 ([
46]).
Let the real-valued function π be -convex on with Thenwhere and Theorem 61 ([
46]).
Let the real-valued function π be modified type -convex on with Thenwhere and Next, we present q-H-H integral inequalities pertaining to -convex functions.
Definition 16 ([
47]).
A function is called a -convex function, if it is non-negative andfor any and Theorem 62 ([
48]).
Let function be q-integrable and -convex. Then Quantum H-H-Mercer type inequalities.
In the following theorems we present a quantum version of the H-H-Mercer inequalities.
Theorem 63 ([
49]).
For a convex function thenandfor all and Theorem 64 ([
49]).
Assume that is q-differentiable and are q-integrable and continuous. If are convex, thenfor all and Quantum H-H type inequalities for and integrals.
Here, we add some new q-H-H type inequalities pertaining to convex functions utilizing the idea of q-integral.
Definition 17 ([
50]).
Let be continuous. For we define the -integral as Theorem 65 ([
50]).
Let function be convex and differentiable on and Thenwhere Next, we examine a new idea of quantum integral, the -integral, and we present H-H type inequalities for this new integral.
Definition 18 ([
51]).
Let be continuous. For we define the -integral as Theorem 66 ([
51]).
Assume that function is differentiable convex on and Thenwhere In the next theorem we give a and H-H type integral inequality for s-convexity.
Theorem 67 ([
52]).
Assume that a real-valued function π is s-convex in the second manner with Then Quantum H-H type inequalities involving coordinated convex functions.
Definition 19 ([
53]).
A function will be called coordinated convex on Δ, for all and if Quantum H-H’s type inequalities pertaining to coordinated convex functions are given in the next.
Theorem 68 ([
54]).
Let be convex on coordinates on Then, for all , we have Theorem 69 ([
55]).
Assume that π is as in Theorem 68. Then for all we have Theorem 70 ([
56]).
Assume that function is a coordinated convex. Then Theorem 71 ([
56]).
Assume that function is a coordinated convex. Then In what follows we introduce q-partial derivatives and definite q-integrals for the functions of two variables.
Definition 20 ([
57]).
Let be a continuous function of two variables and The partial -derivatives, -derivatives, and -derivatives at can be defined as follows: Definition 21 ([
57]).
Let be a continuous function of two variables and The partial -derivatives, -derivatives, and -derivatives at can be defined as follows:for We present in the following H-H-type inequalities for functions of two variables that are convex on the coordinates.
Theorem 72 ([
57]).
Let be convex on the coordinates on Then the following inequalities hold: Theorem 73 ([
57]).
Let be a twice partially -differentiable function on with and If partial -derivative is continuous and integrable on and is convex on the coordinates on for then the following inequality holds:where The next result is for quasi-convex functions on coordinates on
Definition 22 ([
57]).
A function is said to be quasi-convex on the coordinates on Δ, for all and if the following inequality holds: Theorem 74 ([
57]).
Let be a twice partially -differentiable function on with and If partial -derivative is continuous and integrable on and is quasi-convex on coordinates on for then the following inequality holds: Theorem 75 ([
58]).
Let be a twice partially -differentiable function on If is continuous and integrable on and is convex on the coordinates on for then the following inequality holds:where and Quantum H-H type inequalities in the manner of Green functions.
In the next theorems we show quantum H-H type inequalities via Green functions.
Theorem 76 ([
59]).
Let be twice differentiable convex on such that If then: Theorem 77 ([
59]).
Assume that function is convex as in the previous Theorem 76. Then:- (i)
If is non-decreasing, then - (ii)
If is non-increasing, then - (iii)
If is convex, then
Theorem 78 ([
59]).
Assume that function is convex, as in Theorem 76. Then:- (i)
If is non-decreasing, then - (ii)
If is non-increasing, then - (iii)
If is convex, then
Quantum H-H type inequalities in the mode of preinvex functions.
The following theorems deal with preinvex functions.
Definition 23 ([
60]).
A real-valued set K is said to be an invex with respect to if for all we have Definition 24 ([
60]).
A real-valued function π is called preinvex with respect to η iffor all and Condition C.
Assume that real-valued subset A is invex subset with respect to Then η verifies the condition C if for all and Theorem 79 ([
61]).
Assume that function is preinvex and integrable with If verifies the Condition then Theorem 80 ([
61]).
Assume that function is q-differentiable on with integrable and continuous on where If function is preinvex, then 3. H-H Inequalities via Fractional Quantum Calculus
The following concepts are adapted by Ref. ([
10]). We state a
q-shifting operator as
The
q-analog is stated by
The
q number is stated by
The
q-Gamma function is stated by
Here, we add some definitions regarding fractional q-calculus, namely the R-L fractional q-integral.
Definition 25 ([
10]).
Let and function π be a continuous stated on Then is given by Theorem 81 ([
62]).
Let function be convex, and Then Theorem 82 ([
63]).
Let function be convex and Then Theorem 83 ([
63]).
Let function be continuous, and be q-integrable on If is convex on then 4. H-H Type Inequalities for (p,q)-Calculus
Definition 26 ([
64]).
If function is continuous, then -derivative of π at x is stated byIf exists for all , then the function π is called -differentiable on .The -integral is defined by Definition 27 ([
65]).
Let function be continuous. Then the -derivative of π at is stated byThe -integral is stated by Theorem 84 ([
66]).
Let be a convex differentiable function on and Then we have:where Theorem 85 ([
66]).
Assume that a real-valued function π is -differentiable over and is integrable and continuous over If function is convex over then Theorem 86 ([
66]).
Assume that π is as in Theorem 85. If is a convex function over for then Theorem 87 ([
66]).
Assume that π is as in Theorem 85. If function is quasi-convex over for then Theorem 88 ([
67]).
Assume that the real-valued function π is differentiable and convex on Thenwhereand and Theorem 89 ([
67]).
Assume that is differentiable on If is integrable and continuous on and if is convex on , then Theorem 90 ([
68]).
Let function be -differentiable on and is integrable and continuous on If is convex on then In the next theorem we include fractional -H-H integral inequalities on
Theorem 91 ([
69]).
If function is differentiable and convex and thenwhere Now, by utilizing the concept of post-quantum integrals, we explore H-H inequalities in the second sense via s-convexity.
Theorem 92 ([
70]).
Let be s-convex in the second sense and with Then for we have Theorem 93 ([
71]).
Let be convex. Then Theorem 94 ([
71]).
Let Assume that and are continuous and integrable mappings over If and are convex, then Now, we show -H-H inequality in the manner of double integrals.
Theorem 95 ([
72]).
Let and be a convex function on . Thenfor all Theorem 96 ([
72]).
Let π be as in Theorem 95. Then we have: We examine the extensions of H-H inequalities involving continuous convexity pertaining to -calculus on .
Theorem 97 ([
73]).
Assume that the real-valued π is continuous and convex. Thenfor all with . We give -H-H type inequalities for coordinated convexity.
Theorem 98 ([
74]).
Assume that the function is differentiable and convex. Then We define now some new concepts regarding the -calculus of the function of two variables and present H-H-type inequalities for the functions of two variables using -calculus.
Definition 28 ([
75]).
Let be a continuous function in each variable and The partial and -derivatives at are, respectively, defined as: Definition 29 ([
75]).
Let be a continuous function in each variable and Then the definite -integral on is defined as:for Theorem 99 ([
75]).
Let be a function such that -derivatives exist on with If is continuous and integrable on and is a convex function on coordinates on for then the following inequality holds:
where Now, we present quantum integral inequalities for functions whose partial -derivative is quasi-convex on coordinates.
Theorem 100 ([
75]).
Let be a function such that -derivatives exist on with If is continuous and integrable on and is quasi-convex on coordinates on for then the following inequality holds: Assume that and .
Theorem 101 ([
76]).
Let function be -differentiable on such that is integrable and continuous on with Then 5. H-H Type Inequalities via h-Calculus
In this section we give first the definitions of h-derivative and h-integral and then some H-H type inequalities for convex and twice differentiable functions via h-calculus.
Definition 30 ([
8]).
For a mapping the h-derivative of π at x is stated aswhere Definition 31 ([
8]).
For a mapping the definite h-integral of π is stated aswhere and Theorem 102 ([
77]).
Let function be convex. Then Theorem 103 ([
77]).
Let function be a continuous twice differentiable on Thenwhere The inequalities in the above theorem are reversed if we replace m by
6. H-H Type Inequalities via q − h-Calculus
Here, we add the definitions of the -derivative and -integral.
Definition 32 ([
78]).
Assume that the real-valued function π is continuous. Then the -derivative of π is stated by:where , and Definition 33 ([
78]).
Assume that and function is continuous. Then and are defined as follows:and Definition 34 ([
79]).
Assume that a real-valued function π is continuous and Then the -derivative of π at is stated by:Analogously, let the left -derivative of π at beIn addition and In the next we present -H-H type inequalities.
Theorem 104 ([
79]).
Let function be differentiable and convex on and If then Theorem 105 ([
79]).
Assume that π is as in Theorem 104. If then Theorem 106 ([
79]).
Assume that π is as in Theorem 104. If then Theorem 107 ([
79]).
Assume that π is as in Theorem 104. If then Definition 35 ([
80]).
Let be a non-negative function. We say that is an h-convex function, if π is non-negative and for all we have Definition 36 ([
81]).
A function is m-convex, where iffor all Theorem 108 ([
82]).
Assume that is a convex function and If then for we have Theorem 109 ([
82]).
Assume that the statement of this theorem is defined in Theorem 108, then Theorem 110 ([
82]).
Assume that and non-negative real-valued π is h-convex such that and - (i)
Assume that π is symmetric about thenwhere - (ii)
Assume that π is symmetric about thenwhere
Theorem 111 ([
82]).
Assume that the function is m-convex. Additionally, suppose that - (i)
Assume that thenwhere - (ii)
Assume that then
where
7. Conclusions
Our objective in this paper was to provide a comprehensive and up to-date review on quantum H-H inequalities. We presented various results, including integral inequalities of the H-H type, using numerous families of convexity. Quantum H-H inequalities involving preinvex functions and Green functions were also presented. Finally, H-H type inequalities for -calculus, h-calculus, and -calculus were also included.
The practical as well as theoretical significance of the quantum H-H inequalities were taken into consideration when compiling this overview. We believe that the current review will provide a platform for scholars working on H-H inequalities to learn more about previous research on the subject before coming up with new findings.