Abstract
This work presents refined and generalized forms of weighted Opial-type inequalities within the framework of time scale calculus. The proofs rely on several algebraic techniques, together with Hölder’s inequality and Keller’s chain rule. These results extend the classical Opial-type inequalities by embedding them into the time scale setting, which unifies both continuous and discrete analyses. Consequently, various integral and discrete inequalities emerge as particular cases of our main results, thereby broadening the applicability of Opial-type inequalities to dynamic systems and discrete models.
Keywords:
Opial-type inequalities; dynamic inequalities; Hölder’s inequality; delta integrals; time scales MSC:
26D10; 26D15; 34N05; 47B38
1. Introduction
The study of inequalities has long played a central role in mathematical analysis, particularly in the fields of differential and integral inequalities. This study is motivated by the need to extend known inequalities and their applications to dynamic equations on time scales, bridging the gap between continuous and discrete analysis. The results presented herein improve upon existing literature by providing more general conditions under which these inequalities hold, including the incorporation of weight functions and fractional-order terms. These findings offer an advantage in modeling dynamic systems that operate across mixed continuous–discrete time domains, enabling more accurate estimates and broader applicability in mathematical and engineering contexts. Classical analytic inequalities and their sharp constants have been extensively studied in the literature; a comprehensive treatment is provided in the monograph by Mitrinović and Vasić [1], while sharp constants and refinements for several integral inequalities of Opial type were investigated by Milovanović and Milovanović [2]. A seminal result in this area was established by Opial in [3], who proved the classical inequality:
where with and for The constant is known to be sharp.
Subsequent work has focused on generalizing this result. For instance, Hua [4] extended inequality (1) to the power-weighted form:
for absolutely continuous functions with , and for any positive integer p.
Yang [5] introduced further refinements, proving that for and
Additional variants were presented in the same work [5] subject to different boundary conditions:
and
In a broader context, Yang [6] established weighted versions of these inequalities involving positive, bounded monotonic weight functions For instance, if is non-increasing on and is absolutely continuous with then
Analogous results were derived for non-decreasing weights over and for the full interval under suitable boundary conditions:
More recently, motivated by the unified framework offered by time scales theory (details regarding the definitions and notation used here are provided in Section 2), the authors in [7] extended Opial’s inequality (1) to the delta-calculus setting as follows: for a -differentiable function with , they proved
In a subsequent work, the authors in [8] provided generalizations of inequality (9): Let be -differentiable with and suppose that , and is non-increasing. Then,
Assuming and is non-increasing, they also showed:
Under the conditions and assuming is non-increasing on both subintervals and for some , they derived the combined estimate
For a broader overview of further developments and significant refinements of related inequalities and other dynamic inequalities, see [9,10,11,12,13]. Under the framework of time scales, this paper systematically generalizes weighted Opial-type inequalities and proposes a new form that allows for non-zero boundary conditions and non-increasing weight functions. The primary aim of this article is to develop new dynamic Opial-type inequalities on time scales, enriching the existing literature by offering novel generalizations that encompass both the continuous case () and the discrete case () as special instances. This unified approach not only extends classical results, which are usually treated separately, but also provides more flexible formulations that enhance the applicability of Opial-type inequalities to dynamic equations and hybrid models. The present article is arranged as follows: Section 2 outlines the essential preliminaries and fundamental tools on time scales. Section 3 is devoted to the main theorems, their proofs, as well as some particular cases and remarks that illustrate the significance and applicability of the obtained results.
2. Preliminaries
We begin by outlining essential concepts and tools from time scale theory, which serve as the foundation for the subsequent results.
A time scale is any nonempty closed subset of . For a point , we define and as and These components are referred to as the forward jump operator, the backward jump operator and the forward graininess function, respectively. According to these definitions, a point where is
- Right-scattered if
- Right-dense if
- Left-scattered if
- Left-dense if
Next, we define the set as follows: If then
Let be a function. The composition is understood as A function is right-dense continuous (-continuous) if it is continuous at all right-dense points and possesses finite left-sided limits at left-dense points. The space of such functions is denoted .
Definition 1
([14,15]). The delta derivative of a function at exists if, for any there is a neighborhood of ϱ such that
If this condition holds at each point in we say ϑ is delta-differentiable on
Theorem 1
(Chain Rule [14,15]). Let be continuous, be Δ-differentiable on and let be continuously differentiable. Then, for all we have
We next introduce the concept of delta integral and summarize its key properties.
Definition 2
([14,15]). A function G is called a Δ-antiderivative of if
The delta integral of ϑ from u to w is then defined by
Theorem 2
([14,15]). Let . Then
Theorem 3
([14,15]). Let and let Suppose . Then
- 1.
- ;
- 2.
- ;
- 3.
- If then
Moreover, we highlight two key special cases:
- If , then
- If , then
Lemma 1
(Hölder’s Inequality [15,16]). If and then
where and
3. Main Results
This section is devoted to presenting and proving the main results. During the work, we will make the assumption that the functions are positive and that the integrals under consideration exist. The proofs are based on the following fundamental inequality (see [17], p. 51)
Theorem 4.
Let , be a non-increasing function on , and . If is Δ-differentiable with , then
Proof.
Define the function by
so
Since
Then
Since the weight function is positive and integrable on , Hölder’s inequality (17) can be applied with indices ℓ and , when , we have
By taking the power p of (22), we get
Now, by applying (18) on (23), it follows that
which yields that
Thus, clearly in the case when , we get
Now, from (25) and (21), we obtain
Moreover, it follows by (21), that
From (21), and (13), we obtain
Since and , we get
Substituting from (28) into (27) and using , we have
Now, by applying (17) with indices and on (20), we have
Substituting (30) into (29), we have
which is (19). □
The following result can be regarded as a dual version of Theorem 4, established under analogous assumptions, where the boundary condition is taken at the right endpoint of the interval.
Theorem 5.
Let and be a non-increasing function on and . Suppose that is Δ-differentiable with . Then
Proof.
Define the function by
so
Since
Then
Since the weight function is positive and integrable on , Hölder’s inequality (17) can be applied with indices ℓ and , when , we have
Taking the power p of (34), we get
Now, by applying (18) on (35), we deduce
which yields that
In the special case when , we get
From (37) and (33), we have
from (33), we get
Using (13), and (33), we get
Since and , we obtain
Substituting (40) into (39) and using the fact that , we have
Using (17) in (32) with indices and , we have
Substituting (42) into (41), we have
The proof is completed. □
Combining Theorems 4 and 5 by choosing we obtain the following result.
Theorem 6.
Let and be a non-increasing function on and . Suppose that is Δ-differentiable with and . Then
Proof.
□
In the following, we present several corollaries that illustrate how the obtained dynamic inequalities reduce to their continuous and discrete counterparts. By taking particular choices of the time scale , namely and , Theorems 4–6 yield a family of integral and summation inequalities that extend and unify many known results in the classical setting.
Corollary 1.
Putting , in Theorem 4, then (19), takes the form
Corollary 2.
If , in Theorem 5, then (31), become
Corollary 3.
If we consider the case , in Theorem 6, the inequality (43), will be
Corollary 4.
In Theorem 4, if and s.t. and is nonnegative real sequence, such that is a sequence of real numbers with , then
Corollary 5.
In Theorem 5, if , and s.t. and , is nonnegative real sequence, such that is a sequence of real numbers with , then
Corollary 6.
In Theorem 6, if , and s.t. and , is nonnegative real sequence, such that is a sequence of real numbers with and , then
Remark 9.
When , in Corollary 4, the inequality (47) reduces to the following inequality
Remark 10.
When , in Corollary 5, the inequality (48), reduces to the following inequality
Remark 11.
When and , in Corollary 6, (49), reduces to the following inequality
4. Conclusions
In this article, several weighted dynamic Opial-type inequalities involving integrals of the product of a function and its delta derivative on time scales have been established. The presented results extend and refine existing inequalities in the literature, with the continuous and discrete cases obtained as natural corollaries of the general dynamic forms. As a future direction, these inequalities may be further generalized to the setting of conformable fractional and diamond–alpha calculi on time scales, providing a unified framework for studying fractional dynamic systems and their qualitative properties.
Author Contributions
Investigation, Software and Writing—Original draft, M.M.A.E.-S. and F.M.K.; Supervision, Writing—Review editing and Funding acquisition, N.Z.A.-S., M.Z., H.M.A. and H.M.R. All authors have read and agreed to the published version of the manuscript.
Funding
The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through large Research Project under grant number RGP 2/248/46. The authors are thankful to the Deanship of Graduate Studies and Scientific Research at University of Bisha for supporting this work through the Fast-Track Research Support Program.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Acknowledgments
The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through large Research Project under grant number RGP 2/248/46. The authors are thankful to the Deanship of Graduate Studies and Scientific Research at University of Bisha for supporting this work through the Fast-Track Research Support Program.
Conflicts of Interest
The authors declare no conflicts of interest.
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