Abstract
In this article, we establish some new generalized inequalities of the Hilbert-type on time scales’ delta calculus, which can be considered similar to formulas for inequalities of Hilbert type. The major innovation point is to establish some dynamic inequalities of the Hilbert-type on time scales’ delta calculus for delta differentiable functions of one variable and two variables. In this paper, we use the condition and , . These inequalities will be proved by applying Hölder’s inequality, the chain rule on time scales, and the mean inequality. As special cases of our results (when and ), we obtain the discrete and continuous inequalities. Also, we can obtain other inequalities in different time scales, like , .
Keywords:
Hilbert-type inequalities; Hölder’s inequality; mean inequality; kernels; delta integrals; time scales MSC:
26D10; 26D15; 34N05; 47B38; 39A12
1. Introduction
During the early 1900s, Hilbert made the discovery of this inequality (refer to [])
Here, and are real sequences satisfying and . This particular expression is known as Hilbert’s double series inequality.
In [], Schur demonstrated that in (1) is the most optimal constant achievable. Additionally, he unveiled the integral counterpart of (1), which later became recognized as the Hilbert integral inequality, taking the form
where are measurable functions satisfying and .
In [], an extension of (1) is presented as follows: suppose with , , are real sequences satisfying and , then
Here, is the optimal constant.
In [], the authors derived the integral counterpart of (3) as
Here, are measurable functions satisfying and .
In [], new inequalities akin to the ones presented in (3) and (4) were established as follows: let with . Consider sequences and where . Then
Here, , and
Moreover, if with , and are real-valued continuous functions with , then
Here,
In [], Chang-Jian et al. proved some new inequalities of Hilbert type in the difference calculus with “n-dimension” and derived their integral analogues. These inequalities are outlined as follows: let such that and are real sequences defined for , where and . Define the operator ∇ as . Then
Here,
Also, they proved that if , are constants with , are real valued differentiable functions defined on , where and , then
where
Furthermore, they established that if such that , are real sequences defined for where , and . Define the operators and by
Then
Here,
For more details about Hilbert type inequalities, see the papers [,,,]. As applications of our work, we refer to the papers [,]. In recent decades, a novel theory, known as time scale theory, has emerged, aimed at unifying continuous calculus and discrete calculus. The results presented in this paper encompass classical continuous and discrete inequalities as special cases when and , respectively. Moreover, these inequalities can be extended to analogous inequalities on various time scales, such as for . Many researchers have delved into dynamic inequalities on time scales, and for a more comprehensive understanding of these dynamic inequalities on time scales, readers are referred to papers [,,,,,,].
The primary objective of this paper is to establish analogous formulas for Hilbert-type inequalities (7) and (8) within the framework of time scales in delta calculus. It is important to note that these formulas are derived under specific conditions, which are and . These conditions differ from those utilized in a previous work []. The outcomes of our research provide novel insights and estimations for these specific categories of inequalities. In particular, we have introduced multivariate summation inequalities for extensions of the Hilbert inequality, which were previously unproven. Additionally, we have obtained their corresponding integral expressions. The proofs of these results are based on the application of Hölder’s inequality on time scales and the mean inequality.
The paper is structured as follows: After this introductory section, the subsequent section offers an overview of fundamental concepts in time scale calculus, which serve as the basis for our proofs. The final section is dedicated to presenting our main findings.
2. Basic Principles
In what follows, the time scale is a nonempty closed subset of , and it could be an interval, a union of intervals, or even a set of isolated points. The real numbers (continuous case), integers (discrete case), and various amalgamations of the two constitute the most prevalent instances of time scales. Given , we establish and as and . These components are referred to as the forward jump operator and the forward graininess function, correspondingly. Considering a function , we introduce the notation:
Additionally, we establish the interval ℓ within the context of as:
Below, we present the concept of the delta derivative along with its properties. We also delve into the chain rule, integration by parts, Fubini’s theorem, and the mean inequality, which are discussed and analyzed in the references [,,,,] and others.
Definition 1
([]). We use the term “Δ differentiable" to describe a function ℑ being differentiable at , if , there is a neighborhood W of v such that for some β the inequality
is true and, in this case, we write .
Theorem 1
(Properties of delta-derivatives []). Assume ℑ is a function and let , then
- If ℑ is differentiable at v, then ℑ is continuous at v.
- If ℑ is continuous at v and v is right-scattered (i.e., , then ℑ is differentiable at v with
- If v is right-dense (i.e., , then ℑ is differentiable if the limitexists as a finite number. In this case,
Example 1.
- If , then , andwhere is the usual derivative.
- If , then , andwhere Δ is the usual forward difference operator.
- If , , , then , and
Theorem 2
(Chain Rule []). Given that is a continuous and Δ differentiable and is continuously differentiable, then
Definition 2
([]). A function ℑ is characterized as continuous when it exhibits continuity at every right-dense point within and possesses finite left-sided limits at left-dense points in . We use the symbol to represent the sets of all rd-continuous functions, and the symbol to represent the set of all continuous functions.
The following is a description of the concept of an integral on time scales.
Definition 3
([]). ℜ is Δ antiderivative of ℑ if
As a result, for , we deduce the integral of ℑ as
It is widely acknowledged that any rd-continuous function possesses an antiderivative. As a result, we can deduce the following outcomes.
Theorem 3
([]). If , then
Theorem 4
([]). If , and , , then
- If , then .
- .
Lemma 1
(Integration by parts []). If and , , then
Theorem 5
([]). Let and . Then
- (i)
- If , then
- (ii)
- If , then
- (iii)
- If , then
Lemma 2
(Hölder’s Inequality []). If and , , then
where and .
Let , be time scales, denote the set of functions on , where ℑ is continuous in , and denote the set of all functions , for which both the partial derivative with respect to and partial derivative with respect to exist, and are in .
Lemma 3
([], Theorem 3.3). Let with , , and such that . Then,
Lemma 4
(Fubini’s theorem []). If and is integrable, then
Lemma 5
(Mean inequality []). If for , then
3. Main Results
Throughout this paper, we will operate under the assumption that the functions are rd-continuous, and we will also consider the existence of the integrals. To substantiate our results, it is necessary to prove the following lemma.
Lemma 6.
Let with and , where . Then
Theorem 6.
Let , such that and with . Then
where
Proof.
By utilizing the property (5) of Theorem 4, we deduce that
Since , then
and then
Dividing (24) on and integrating over from to , , we conclude that
Hence, (24) is proved. □
Corollary 1.
Let in Theorem 6, , such that and be real sequences with . Then, and
Here, Δ is the forward difference operator and A is specified as in (19).
Corollary 2.
Let in Theorem 6, , such that and with . Then, and
where A is given by (19).
Corollary 3.
Let for , such that and be real sequences with . Then, and
where A is given by (19) and
In the following, we generalize the last theorem for two variables.
Theorem 7.
Let , such that , , with for and . Then
where
Here, the derivative of is the derivative with respect to the first variable τ and the derivative of is the derivative with respect to the second variable ξ.
Proof.
Applying the property (5) of Theorem 4, Fubini’s theorem and using the hypothesis , we obtain
and then
Note that
and then
Now, by applying (12) on with
we find that
where . By integrating (38) over from to and using the Fubini theorem, we have
Again, using (12) on the term with
we see that
where . Substituting (40) into (39) and applying Fubini’s theorem, we obtain
Hence, (29) is proved. □
Corollary 4.
Let in Theorem 7, , such that and be real sequences with for and , where . Then, , and
where B is given by (30).
Corollary 5.
Let in Theorem 7, , such that and with for and , where . Then, , and
where B is given by (30).
Corollary 6.
Let for , , such that and are real sequences with for and , where . Then, , and
Here, B is given by (30) and the derivative of is the derivative with respect to the first variable τ and the derivative of is the derivative with respect to the second variable ξ.
4. Conclusions
In this study, a generalization of the Hilbert-type inequalities within the framework of time scales in delta calculus. We should note that we used different conditions from some previous results; thus, various refinements of the classic Hilbert-type inequalities are obtained. Throughout the work, it is shown that some known results from the literature are obtained as particular cases of ours. In future research, we aim to showcase these inequalities by utilizing nabla calculus on time scales.
Author Contributions
Investigation, software and writing—original draft, H.M.R. and A.I.S.; supervision, writing—review editing and funding, J.E.N.V., M.A. and M.Z. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number RGP 2/414/44.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Acknowledgments
The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number RGP 2/414/44.
Conflicts of Interest
The authors declare no conflict of interest.
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