Abstract
Convex bodies are symmetric in nature. Between the two variables of symmetry and convexity, a correlation connection is also perceptible. Due to the interchangeable analogous properties, the application on either of them has been practicable in these modern years. The current analysis sheds insight on a general new identity involving a number of parameters for a twice partial quantum differentiable function. We find several unique quantum integral inequalities by using the new identity and a twice partial quantum differentiable function whose absolute value is coordinated convex. In addition, we present several novel and interesting error estimation-like results related to the well-known quantum Hermite–Hadamard inequality. Some examples are provided at the end to support and demonstrate the effectiveness of the new outcomes.
1. Introduction
One of mathematics’ most fundamental and important ideas is convexity. Beginning with Minkowski’s ground-breaking work at the beginning of the 20th century, convexity theory has been thoroughly and methodically developing ever since. There are currently a number of subjects in this field. It can be generally classified into three key areas: convex geometry, convex analysis, and discrete or combinatorial convexity. This classification is based on the concepts, techniques, and tools used. Measures of symmetry are frequently found in the literature on convex geometry, which effectively illustrates the seeming diversity of the concept of convexity. A multitude of clearly calculable examples for measures of symmetry are provided by the literature on convex bodies of constant width, which is constantly expanding (see, for instance, [1]). With this motivation, we explore some new inequalities due to twice partial quantum differentiable functions, which gives some more applications about means of real number. We first collect some fundamental concepts.
Throughout the study, we consider a double interval (precisely rectangle) where in the plane
Now, we recall that the inequality
holds true if is a convex function.
In 1883, Hermite (1) proved the inequality [2]. Hadamard [3] rediscovered it in 1893. As a result, both scholars are equally credited with discovering the inequality, which is referred to as the Hermite–Hadamard inequaltiy in the literary work.
In 2001, Dragomir [4] introduced the notion of coordinated convex functions as follows:
Definition 1.
A function is called convex on the coordinates on Y or coordinated convex function if the inequality
holds for all and
Dragomir [4] proved the following sharp inequality by adopting the concept of coordinated convex functions.
Theorem 1.
Suppose that is a convex function on the coordinates on Y and . Then one has the inequalities:
In 2010, Sarikaya et al. [5] acquired the error estimates for the third and fourth inequality in (3).
Theorem 2.
Let be a partial differentiable mapping on
(a) If is convex on the coordinates on then the following inequality holds:
(b) If is convex on the coordinates on Y and then the following inequality holds:
where
In 2012, with the same motivation, Latif and Dragomir [6] developed error estimates for the first and second inequality in (3).
Theorem 3.
Let be a partial differentiable mapping on
(a) If is convex on the coordinates on then the following inequality holds:
(b) If is convex on the coordinates on Y and then the following inequality holds:
where
Following this commencement, the researchers put a lot of effort into extending and improving the inequality (3) by using both classical and fractional integrals. We believe interested readers should additionally take into account [7,8,9,10,11,12,13,14,15,16] and the references therein for the results that alter, refine, and generalize the inequality (3).
The last ten years have seen an increase in interest in quantum calculus among mathematicians and physicists. Calculus with non-smooth surfaces is studied in quantum calculus. A calculus without limits is what we refer to as quantum calculus. Generally speaking, the topic has many applications in several fields, including the theory of relativity, orthogonal polynomials, combinatorics, number theory, and basic hyper-geometric functions (see, for instance, [17,18,19,20,21,22,23]).
The –difference operator, which was re-introduced by Jackson [24] over the -geometric set , may go back to Heine [25] or Euler, is expressed by the quotient
where –geometric set is a set such that whenever and is a fixed constant.
Jackson initiated a systematic study of this operator in [24,26,27,28,29,30,31,32,33]. The –difference operator (10) sometimes called Jackson –difference operator, Euler– Jackson –difference operator or Euler–Heine–Jackson –difference operator.
Jackson [32] presented an integral denoted by
as a right inverse of –derivative. It is defined by
where
Kac and Cheung [23] (p.) proved that if is bounded on for some , then exists for all . Moreover, Bromwich [34] (pp. 418–419) proved that if converges, then
In 1969, Agarwal [35] defined the –fractional derivative. Al-Salam [36,37] established a -analog of the Riemann–Liouville fractional integral in 1966–1967. A thorough analysis and development of the -fractional calculus then started. For a comprehensive overview of the topic, one should consider [38].
The notion of quantum derivatives and integrals across a finite interval is related to the area of quantum calculus that deals with convex functions and corresponding average quantum integrals. In 2013, Tariboon et al. [39,40] initiated the study of –derivatives and associated –integrals, which opened up a new horizon for the researchers. Following this, scientists started investigating well-known inequalities in the quantum framework. For example, the –analog of Hölder’s, Cauchy–Bunyakovsky–Schwarz, Grüss, Grüss–Cebyshev, Hermite–Hadamard, Ostrowski, and other related integral inequalities have been proved. The reader may further look at a few additional sobering discoveries in the field of quantum integral inequalities, particularly [41,42,43,44,45,46,47,48,49,50,51,52,53,54] and the sources given therein.
Motivated by the above results, in general, and the results given in [5,6], in particular, we aim to prove an inequality in the quantum frame work of calculus, which could extend and improve the inequalities of Theorems 2 and 3. The paper also aims to establish the error estimates of the inequality (22); that is a quantum version of the distinguished inequality (3).
2. Basic Literature and Some Recent Advancements in Quantum Math
This section reloads essential findings and terminology that are crucial to comprehending the primary findings.
In 2013–2014, Teriboon et al. [39,40] developed some results in the quantum frame work by extending the Jackson difference operator (10) and Jackson integral (12) over the finite interval as follows:
Definition 2.
Let be a continuous function and Then the –derivative of at is characterized by the quotient:
The function is called –differentiable on , if exists for all . It is obvious that
If then the –derivative reduces the Jackson –difference operator given by (10).
Definition 3.
Let be a continuous function and Then the -integral of the function is defined by the series expression
If then the –integral coincides to the Jackson integral given by (12).
In the same paper, the following -Hölder’s inequality is proved.
Theorem 4.
Let be two continuous functions. Then the inequality
holds for all and with .
In 2017, Latif et al. [55] introduced the notion of partial —derivative and associated —integrals. For brevity, we use the notation for partial —derivative of a function with respect to u instead of Analogously, we use instead of for the partial —derivative and instead of for the twice partial —derivative.
Definition 4.
Let be a function of two variables and then the partial –derivative, –derivative, and –derivative are defined at , respectively, as follows:
and
Definition 5.
Let be a continuous function of two variables and then the –integral is expressed by
for all
In 2019, Kunt et al. [56] proved the following Lemma.
Lemma 1.
If the conditions of the Definition 5 are satisfied, then
for all
The following correct inequality, which extends inequality (3), was established in 2020 by Alp and Sarikaya [57]. It involves quantum integrals.
Theorem 5.
Let be a coordinated convex and partially differentiable function on Then one has the inequalities:
3. Main Results
The study’s key findings are presented in this section. This section is divided into three subsections. In the first subsection, we generate a generic multi-parameter new identity for the twice partially –differentiable function over the rectangle In the second subsection, we present some very general quantum integrals that are essential to the outcomes presented in the following subsection. In the third and final subsection of this section, we first develop a highly generic error formulation for the mean value of double quantum integrals, including several parameters. For the recently corrected quantum Hadamard inequality, (22), we finally acquire some new error estimates.
3.1. New Multi-Parameter Identity for Twice Partially Quantum Differentiable Functions
Lemma 2.
Let be a twice partial –differentiable function defined on If the partial –derivative is continuous and –integrable over Y. Then the following identity holds:
where
and
Proof.
Using the Lemma 1, we can see right away that
Now, using the partial quantum derivatives and integrals denoted, respectively, by Equations (19) and (20), we have
Properties of summation and application of the integral expressed in the Definition 5, we have
Similarly,
and
The same methodology leads to:
and
3.2. Useful General Quantum Integrals
In this part, we provide highly general quantum integrals that are crucial for error estimates of the Hermite–Hadamard inequality.
Let and be any real number such that Assume further that Then we have the following –integrals, which are denoted and defined by:
Remark 1.
The above integrals suffices to evaluate other integrals with appropriate limits. For instance, if one needs then one should replace m by n,d by e, ℜ by and by All the other integrals are one step ahead by this scheme. We left the details for interested readers.
3.3. New Generalized Error Formulation Concerning Hadamard Type Inequalities and Its Applications
Theorem 6.
Let be a twice partial –differentiable function defined on such that the partial –derivative is continuous and –integrable over Y. If is coordinated convex on then the following inequalities hold:
Proof.
Let us consider the identity mappings,
and
Taking modulus on both sides of Equation (23), we have
Since is coordinated convex, so we obtain
Similarly,
and
Corollary 1.
If, in addition to the conditions of Theorem 6, let and then the inequalities given in (37), reduce to the following inequalities:
where
Remark 2.
Example 1.
If we consider and then Now we have:
Table 1.
Parameters and are associated to the model given in Corollary 1.
Corollary 2.
If, in addition to the conditions of Theorem 6, and then the inequality given in (37), reduces to the following inequality:
where
Remark 3.
Example 2.
If we consider and Then From Corollary 2, we have
Similarly,
By assigning several values to the parameters “ and ”, we create the table below to examine the accuracy of our estimate.
Table 2.
Parameters and are associated to the model given in Corollary 2.
Theorem 7.
Let be a twice partial –differentiable function defined on such that the partial –derivative is continuous and –integrable over Y. If is coordinated convex on Y for some then the following inequalities hold:
where
Proof.
First we consider the identity mappings
and
By considering the Equation (26) and applying modulus, we have
Now by the application of power mean inequality and coordinated convexity, we have
Similarly,
and
Corollary 3.
This inequality gives error in the second and third term of (22).
Corollary 4.
Remark 4.
We now provide an illustration to support the conclusion drawn in Corollary 3.
Example 3.
Table 3.
Parameters and are associated to the model given in Corollary 3.
Corollary 5.
Remark 5.
If and the the requirement of Corollary 3, are fulfilled, we recapture “(5)”.
Example 4.
If we consider and We have If then the left and right side of inequality (63) leads respectively to:
By assigning several values to the parameters and we create the table below to examine the accuracy of our estimate.
Table 4.
Parameters and are associated to the model given in Corollary 5.
4. Applications to Special Means
Let us recall some useful means of real numbers . We use for extended arithmetic means, For logarithmic means, we use The generalized log-mean is denoted and defined by:
Now we have following applications of our results in terms of above means of real numbers.
Proposition 1.
Let and and Then we have
where
and
Proof.
Let Then the desired outcome follows from Corollary 2. □
Remark 6.
If in addition to the conditions of Proposition 1, let then
Proposition 2.
Let . Then we have
where
and
Proof.
The result is immediate from Corollary 2, with □
Remark 7.
If in addition to the conditions of Proposition 2, let then
Remark 8.
Some more outcomes about special means can be obtain by applying Corollary 1, 3, 4 and 5.
5. Discussion and Concluding Remarks
This study’s main focus is on the error estimation type finding for the quantum Hermite–Hadamard inequality. We begin our examination by keeping a twice partial quantum differentiable function. We create a generic new identity for twice partially q-differentiable functions provided by (23) by asserting a general kernel defined on the partition of a rectangular domain. Additionally, by assuming that the absolute value of the twice partial quantum differentiable function is coordinated convex, we are able to derive two new generalized inequalities, denoted by (37) and (54). We make some appropriate parameter selections in order to assess the effectiveness and correctness of our outcomes. The particular choices modify our key findings and provide new, precise error bounds for the quantum Hermite–Hadamard inequality (22) that has just been discovered. We give the new special cases in the Corollary 1,2, 3, 4, and 5. The outcomes of the aforementioned corollaries give an error in the lower and upper bounds of the inequality (22). We give interesting instances to support our findings. We point out some new applications about special means of real numbers. Additionally, we note that the methodology used in this study is useful in establishing precise error bounds for the Simpson’s-type inequality and the Quantum Ostrowski inequality. In our opinion, the convex analysis, optimization, and several fields of the pure and applied sciences can all benefit from the current findings. Regardless, we believe that these findings contribute to our growing understanding of quantum calculus’s behavior, characteristics, and wide range of practical applications. We shall use the Iscan–Holder inequality in subsequent works to develop a number of fresh, intriguing inequalities for various classes of convex and pre-invex functions.
Author Contributions
Conceptualization, M.R. and M.A.; methodology, M.R. and M.A.; software, M.R.; validation, M.R. and M.A.; formal analysis, M.R. and M.A.; investigation, M.R.; resources, M.R. and M.A.; writing—original draft preparation, M.R.; writing—review and editing, M.A.; visualization, M.R. and M.A.; supervision, M.A. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Not applicable.
Acknowledgments
The authors are grateful to the administration of National University of Sciences and Technology Islamabad Pakistan for the excellent facilities for the conduct of research work.
Conflicts of Interest
The authors declare no conflict of interest.
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