Abstract
This research investigates innovative extensions of Hardy-type inequalities through the use of nabla Hölder’s and nabla Jensen’s inequalities, combined with the nabla chain rule and the characteristics of convex and submultiplicative functions. We extend these inequalities within a cohesive framework that integrates elements of both continuous and discrete calculus. Furthermore, our study revisits specific integral inequalities from the existing literature, showcasing the wide-ranging relevance of our results.
Keywords:
Hardy’s inequality; nabla Hölder’s inequality; nabla Jensen’s inequality; convexity; continuous and discrete calculus; time scales MSC:
26D10; 34N05; 39A12
1. Introduction
Inequalities play an essential role in mathematical analysis and applications. Hardy’s inequality, introduced by G.H. Hardy in 1920, is a prominent example used extensively in functional analysis and differential equations. Hardy’s inequality in discrete form, as formulated in [], is expressed as
where for .
In 1925, Hardy extended this result to the integral form Theorem A [], showing that if is integrable over for then
where is optimal in both discrete and integral cases. The earlier inequality continues to be applicable for variables a and b. That is, the inequality
is valid for (see []).
Since the introduction of these classical Hardy-type inequalities, many researchers have extended and generalized these results, as evidenced by works such as [,,,] and the books [,,].
In [], Hardy demonstrated that if and is a function that is integrable, then
and
Knopp’s contribution in 1929 established the following inequality involving an exponential function []:
where and e is optimal.
In [], the authors extended (6) as follows:
In [], the authors extended (7) by incorporating two weight functions, showing the following:
where s.t. is locally integrable on , is a convex function on ; , s.t. and
In [], Sulaiman established generalized inequalities of Hardy type and proved the following:
for non-decreasing functions and Additionally, for and such that is convex, he demonstrated that
More recently, the theory of time scales has evolved into a thriving field of mathematics, introduced by Hilger in their doctoral thesis [] with the goal of unifying discrete and continuous analyses []. This theory has been applied to various mathematical fields, including dynamic inequalities on time scales, which have gained significant interest. Among these are Hardy-type inequalities, which have seen substantial development. For instance, in [], P. Řehák proposed a time scale formulation of Hardy’s inequality, stating that for a time scale if then
unless . Additionally, if as then is optimal. Notations used in the above inequality (11) and subsequent content are defined in Section 2.
In Theorem 7.1.3 [], a Hardy-type inequality for a convex function on was introduced:
where , is continuous and convex, is delta integrable with and
In [], the authors introduced a time-scale form of (9) and (10) for delta calculus, respectively, as follows: for and non-decreasing functions ℏ and with , then
Additionally, if where is convex, and assuming the existence of a positive constant satisfying then
Furthermore, within the same study [], it was demonstrated that if , with being convex and submultiplicative and satisfying , then
In [], the authors presented a nabla analogue of (13) and (14), respectively, as follows: for and non-decreasing functions ℏ and with , then
Additionally, if where is convex, and assuming the existence of a positive constant satisfying then
Furthermore, within the same study [], it was demonstrated that if , with being convex and submultiplicative and satisfying , then
Recently, many authors have contributed to the development of Hardy-type inequalities on (see, [,,,,,,,,,,]). These developments highlight the significant growth in the research on dynamic inequalities within the time-scale framework, driven by their applications in various mathematical and applied contexts.
The objective of this document is to present novel extensions of the inequalities (16)–(18). These results will further extend existing inequalities and provide novel contributions within the framework of time-scale analysis, with a specific emphasis on convexity and its applications to Hardy-type inequalities.
The organization of this manuscript is outlined as follows: Section 1, presents a review of key ideas in time-scale calculus, introduces convex and submultiplicative functions, and highlights key properties relevant to our results. Section 2, presents our main findings, which, as special cases, reduce to the inequalities proved by Sulaiman [] when .
2. Preliminaries’ Overview
The content presented involves preliminaries on time scales and related calculus concepts, providing foundational definitions, theorems, and lemmas. Here is an overview:
A time scale , as described by Martin and Allan [], is any non-empty closed subset of . The fundamental operators and functions include the following:
- Forward jump operator is
- Backward jump operator is
- Backward graininess function v is
For a function , refers to Points are classified based on their relationships with the following operators:
- Right-dense if
- Left-dense if
- Right-scattered if
- Left-scattered if
The set is given by
In time-scale calculus, the interval is given by
2.1. ∇-Differentiability and Related Theorems
A function ℏ defined on is considered ∇-differentiable at if, for every there is a neighborhood W of such that for some the following condition is satisfied:
In this case, we denote .
Theorems related to ∇-differentiation include the following:
- Sum Rule: If are ∇-differentiable at , then
- Product Rule: The product is ∇-differentiable at s with
- Quotient Rule: If , then the quotient is ∇-differentiable at s and
- Chain Rule: If is continuous and ∇-differentiable, and is continuously differentiable, then
2.2. One-Dimensional Continuity and Integration on Time Scales
- –continuous: A function ℏ is –continuous if it is continuous at left-dense points and its right-sided limits exist at right-dense points. The set of all –continuous functions is denoted by , while the set of all continuous functions is denoted by .
- ∇ integral: If is a ∇-antiderivative of , then
Hence, the nabla integral of ℏ is defined by
Lemma 1.
If and is continuous, then
Theorems that establish the basic properties of integration on time scales include the following:
- If , and , thenand if then
- Integration by Parts: If and , then
- If and , then
2.3. Hölder’s Inequality, Convexity and Submultiplicative Functions, as well as Jensen’s Inequality
- Weighted Hölder’s inequality ([]): If and thenwhere and The inequality (27) is reversed for or
- Jensen’s inequality ([]): Let and . If , and is convex, then
- Convex Function ([]): A function is convex iffor and such that
- Submultiplicative Function ([]): A function is submultiplicative if
- Convexity Lemma ([]): Let be a continuous function. If exists on and then ℑ is convex.
3. Main Results
To derive our primary conclusions, we first establish the following key lemma:
Lemma 2.
Let and be a convex function such that Then, is non-decreasing.
Proof.
Applying the quotient rule for the ∇-derivative to we have
where
Applying the product rule formula (20) to with and we have
With this lemma established, we can now state and prove the key results of this paper. Throughout this work, we will assume that all functions under consideration are ld-continuous and that the integrals involved exist. Below, we present a result that both broadens and enhances the result found in (16).
Theorem 1.
Let such that , ϑ be a positive function and be non-negative functions such that are non-decreasing. Then, for we have
where
Proof.
Based on the assumptions of the theorem, we observe
By dividing (37) by and using the hypothesis of ℑ, we get
Corollary 1.
In Theorem 1, if , then and the inequality (33) becomes
Particularly, for with we get
Remark 1.
If , and in Corollary 1, the result is consistent with Theorem 2.1 [].
Corollary 2.
In Theorem 1, if and then , and the inequality (33) becomes:
In particular, by putting ℑ with we obtain
The result below provides both a generalization and an enhancement of (17).
Theorem 2.
Assume s.t. , and with ℑ being convex. Let be a constant such that
Proof.
From the assumptions of the theorem, we start with
Using (28), we have
Applying weighted Hölder’s inequality to with indices we get
By applying (22) on we find
Since , we observe , and then we have
By applying the property (22) to we observe
By integrating this over y from to we get
Corollary 3.
Remark 2.
If and in Corollary 3, then we obtain (10), which is the result established in [] by Sulaiman.
Corollary 4.
In Theorem 2, if , then , and the condition (40) becomes
Consequently, the inequality (41) can be expressed as
The subsequent result presents both an extension and a refinement of (18).
Theorem 3.
Assume such that and If such that ℑ is a convex and submultiplicative function with , then for we have
where and are defined as in (34).
Proof.
First, note that
Using the hypothesis of ℑ, we have from the above equation that
Using (28), we find
Since we understand from (60) that
Since we observe that ; thus,
By applying Lemma 2 where is non-decreasing, considering , we obtain
By applying (22) on we have
Since and we get
and then
Integrating the preceding inequality w.r.t y from to ℓ yields
Corollary 5.
In Theorem 3, setting , then and (55), which simplifies to
Corollary 6.
In Theorem 3, by setting and then and (55), which becomes
4. Conclusions
In this study, we introduced novel generalizations of Hardy-type dynamic inequalities using the framework of nabla calculus. Notably, we derived novel results for specific cases where and offering new insights into both continuous and discrete settings. In our next paper, we will extend these inequalities within the frameworks of conformable fractional calculus and diamond-alpha calculus on . In addition, we plan to extend the inequalities explored in this research to multiple dimensions. Furthermore, we aim to connect these generalizations to applications of fractional differential equations, focusing particularly on the qualitative behaviors of solutions, such as stability and convergence, while considering practical applications in mathematical and physical models. We anticipate that these findings will open new avenues for a more comprehensive understanding of fractional dynamics across different time scales.
Author Contributions
Software and writing—original draft preparation, H.M.R.; writing—review and editing, M.E.B. and O.S.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research project was supported by the Researchers Supporting Project Number (RSPD2024R1004), King Saud University, Riyadh, Saudi Arabia.
Data Availability Statement
The data presented in this study are available on request from the corresponding author.
Acknowledgments
This research project was supported by the Researchers Supporting Project Number (RSPD2024R1004), King Saud University, Riyadh, Saudi Arabia.
Conflicts of Interest
The authors declare no conflicts of interest.
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