Abstract
The main objective of the present article is to prove some new ∇ dynamic inequalities of Hardy–Hilbert-type on time scales. We present and prove very important generalized results with the help of the Fenchel–Legendre transform, submultiplicative functions, and Hölder’s and Jensen’s inequality on time scales. We obtain some well-known time scale inequalities due to Hardy–Hilbert inequalities. For some specific time scales, we further show some relevant inequalities as special cases: integral inequalities and discrete inequalities. Symmetry plays an essential role in determining the correct methods for solutions to dynamic inequalities
1. Background and Introduction to ∇-Time Scales Calculus
In this section, we give several foundational definitions and pieces of notation for basic calculus of time scales. Stefan Hilger initiated the theory of time scales in his PhD thesis [1] in order to unify discrete and continuous analysis (see [2]). Since then, this theory has received a lot of attention. The basic notion is to establish a result for a dynamic equation or a dynamic inequality where the domain of the unknown function is a so-called time scale , which is an arbitrary closed subset of the reals ; see [3,4]. The three most common examples of calculus on time scales are continuous calculus, discrete calculus, and quantum calculus, i.e., when and where . The book by Bohner and Peterson [5] on the subject of time scales briefs and organizes much of time scale calculus.
We begin with the definition of a time scale.
Definition 1.
A time scale is an arbitrary non-empty closed subset of the set of all real numbers .
Now, we define two operators playing a central role in the analysis on time scales.
Definition 2.
If is a time scale, then we define the forward jump operator by
and the backward jump operator by
In the previous two definitions, we set (i.e., if t is the maximum of , then ) and (i.e., if t is the minimum of , then ), where Ø is the empty set.
If , then . We note that and in when because is a closed nonempty subset of .
Next, we define the graininess functions as follows:
Definition 3.
- (i)
- The forward graininess function is defined by
- (ii)
- The backward graininess function is defined by
With the operators defined above, we can begin to classify the points of any time scale depending on the proximities of their neighboring points in the following manner.
Definition 4.
Let be a time scale. A point is said to be:
- (1)
- Right-scattered if ;
- (2)
- Left-scattered if ;
- (3)
- Isolated if ;
- (4)
- Right-dense if ;
- (5)
- Left-dense if ;
- (6)
- Dense if .
The closed interval on a time scale is defined by
Open intervals and half-open intervals are defined similarly.
Two sets we need to consider are and , which are defined as follows: if has M as a left-scattered maximum, and otherwise. Similarly, if has m as a right-scattered minimum, and otherwise. In fact, we can write
and
Definition 5.
Let be a function defined on a time scale . Then we define the function by
and the function by
We introduce the nabla derivative of a function at a point as follows:
Definition 6.
Let be a function and let . We define as the real number (provided it exists) with the property that for any , there exists a neighborhood N of t (i.e., for some ) such that
We say that is the nabla derivative of f at t.
Theorem 1.
Let be a function, and . Then:
- (i)
- f being nabla differentiable at t implies f is continuous at t.
- (ii)
- f being continuous at left-scattered t implies f is nabla differentiable at t with
- (iii)
- If t is left-dense, then f is nabla differentiable at t if and only if the limitexists as a finite number. In such a case,
- (iv)
- whenever f is nabla differentiable at t.
Example 1.
- (i)
- Let . Then
- (ii)
- Let . Thenwhere ∇ is the backward difference operator.
Theorem 2.
Let f and be functions that are nabla differentiable at . Then:
- (i)
- The sum is nabla differentiable at t with
- (ii)
- If is a constant, then the function is nabla differentiable at t with
- (iii)
- The product is nabla differentiable at t, and we get the product rule
- (iv)
- The function is nabla differentiable at t with
- (v)
- The quotient is nabla differentiable at t, and we get the quotient rule
Definition 7.
We say that a function is a nabla antiderivative of if for all . In this case, the nabla integral of f is defined by
Now, we introduce the set of all ld-continuous functions in order to find a class of functions that have nabla antiderivatives.
Definition 8.
(Ld-Continuous Function). We say that the function is ld-continuous if it is continuous at all left-dense points of and its right-sided limits exist (finite) at all right-dense points of .
Theorem 3.
(Existence of Nabla Antiderivatives). Every ld-continuous function possess a nabla antiderivative.
Theorem 4.
Let be a ld-continuous function, and let . Then
Theorem 5.
If (respectively, ), then f is nondecreasing (respectively, nonincreasing).
Theorem 6.
If a, b, , , and f, , then
- (i)
- ;
- (ii)
- ;
- (iii)
- ;
- (iv)
- ;
- (v)
- ;
- (vi)
- if on , then ;
- (vii)
- if on , then .
Theorem 7.
Let be a ld-continuous function, and .
- (i)
- In the case that , we havewhere the integral on the right-hand side is the Riemann integral from calculus.
- (ii)
- In the case that consists of only isolated points, we have
- (iii)
- In the case that , where , we have
- (iv)
- In the case that , we have
The formula for nabla integration by parts is as follows:
The following theorem gives a relationship between the delta and nabla derivative.
Theorem 8.
- (i)
- Let be delta differentiable on . Then f is nabla differentiable at t and for any that satisfies . If, in addition, is continuous on , then f is nabla differentiable at t, and for each .
- (ii)
- Let be nabla differentiable on . Then f is delta differentiable at t and for any that satisfies . If, in addition, is continuous on , then f is delta differentiable at t, and for each .
We will use the following relations between calculus on time scales and either continuous calculus on or discrete calculus on . Note that:
- (i)
- If , then
- (ii)
- If , then
where ∇ are the forward difference operators.
Now, we present the Fenchel–Legendre transform that will be needed in the proof of our results. We refer to example to [6,7,8] for more details.
Definition 9.
The function is called coercive iff
Definition 10.
Suppose is a function: ; i.e., . Then the Fenchel–Legendre transform is defined as:
The scalar product is denoted by on , and is said to be the conjugate operation.
The domain of is the set of slopes of all affine functions minorizing the function h over . An equivalent formula for (3) is obtained in the next corollary:
Corollary 1.
Let be a strictly convex, differentiable and 1-coercive function. Then
for all , where denotes the inner product in .
Lemma 1.
(Fenchel–Young inequality [6]). Suppose a function ψ and suppose Fenchel–Legendre are transforms of ψ, we get
for all , and
Definition 11.
We said Ω is submultiplicative function on if
The celebrated Hardy–Hilbert integral inequality [9] is
where , and the constant is best possible. As special case, if , the inequality (8) is reduced to the classical Hilbert integral inequality
where the coefficient is the best possible.
In [10], Pachappte established a discrete Hilbert-type inequality and its integral version, as in the following two theorems:
Theorem 9.
Let be two nonnegative sequences of real numbers defined for , and with and let be two positive sequences of real numbers defined for . and where r are natural numbers. Define and Let Φ and Ψ be two real-valued nonnegative, convex, and submultiplicative functions defined on Then
where
and
Theorem 10.
Let with , and let be two positive functions defined for and Let and for and where y are positive real numbers. Let and Ψ be as in Theorem 9. Then
where
In [11], Handley et al. gave general versions of inequalities (9) and (10) in the following two theorems:
Theorem 11.
Let be n sequences of nonnegative real numbers defined for with and let be n sequences of positive real numbers defined for where are natural numbers. Set Let be n real valued nonnegative convex and supmultiplicative functions defined on Let and set , and Then
where
Theorem 12.
Let with let be n positive functions defined for Set for where are positive real numbers. Let and be as in Theorem 11. Then
where
Hamiaz et al. [12] discussed the inequalities:
Theorem 13.
Let and , be sequences of non-negative real numbers where k, . Define Then
and
where and are defined as in Definition 10. Unless or is null, where
Over several decades, Hilbert-type inequalities have attracted many researchers and several refinements, and the previous results have been extended. We refer the reader to the works on classical refinements and extensions of Hilbert-type inequalities [12,13,14,15,16,17,18,19,20,21,22] and time scale versions of Hilbert-type inequalities [23,24,25,26].
Lemma 2.
[27] (Hölder’s inequalities) Let and ϑ, . If , with , then
Lemma 3.
[14] (Jensen’s inequality) Let δ, , and c, . Assume that and are nonnegative with . If is a convex function, then
Lemma 4.
([14]). Suppose the time scales with w, : Let be left-dense continuous function with and then
Lemma 5.
([14]). Let be a left-dense continuous function. Then the equality that allows interchanging the order of nabla integration given by
holds for all s, w, .
Lemma 6.
([22]). Let w and be such that and ; then
In this important article, by implying (5), we study some new dynamic inequalities of Hardy–Hilbert-type by using the nabla integral on time scales. We further show some relevant inequalities as special cases: discrete inequalities and integral inequalities. These inequalities may be be used to get more generalized results of several obtained inequalities before by replacing , with specific substitution.
Now, we are ready to state and proof our main results.
2. Main Results
In the following, we will let , and
Theorem 14.
Suppose the time scales with and z Assume and are r-d continuous and , respectively, and define
then for and we have that
and
where
Proof.
We use Lemma 2. Then, from (16), we get
Apply Lemma 2. Thus, from (17), we get
From inequality (20), we have
From (26) by using Lemma 2, we obtain
From (27), we get
This completes the proof. □
Remark 1.
Theorem 15.
Suppose , and are defined as in Theorem 14; thus,
and
In Theorem 14, if we chose , then the following results:
Corollary 2.
If , . Define and ; then
where
In Theorem 14, if we chose , then we get (2), and the next result:
Corollary 3.
If and . Define
Then
where
Corollary 4.
With the hypotheses of Theorem 14, we have:
and
Theorem 16.
Assume the time scale with , and defined as in Theorem 14. Suppose and are right-dense continuous functions on and , respectively. Suppose that and are convex, and submultiplicative on Furthermore, assume that
then for and we have that
where
Proof.
From the properties of and using (3), we obtain
Using (2) in (33), we see that
Additionally, from the convexity and submultiplicative property of , we get by using (2) and (3):
From (34) and (35), we have
Using (5) on gives:
Applying Lemma 6 on the right-hand side of (37), we see that
From (38), we have
From (39), we obtain
From (40), by using (2), we have
From (41), by using Lemma 5, we obtain
where
This completes the proof. □
Remark 2.
In Theorem 16, as special case, if we take , , and by following the same procedure employed in Remark 1, then we get [14] (Theorem 3.5).
In Theorem 16, taking , we have the result:
Corollary 5.
Assume that , and . We define
Then
where
In Theorem 16, taking , gives (2) and the result:
Corollary 6.
Assume that , , , are sequences of real numbers. Define
Then
where
Remark 3.
In Corollary 6, if we get the result due to Hamiaz and Abuelela [12] (Theorem 5).
Corollary 7.
Under the hypotheses of Theorem 16 the following inequalities hold:
Lemma 7.
With hypotheses of Theorem 16, we get:
where
Proof.
From (43), by using (2) with , we obtain
□
This proves our claim.
Theorem 17.
Let δ, ξ, , and be as in Theorem 16. Furthermore, assume that for w,
then for and we have that
where
Proof.
From (45), we see that
By applying (2) to (47), we obtain
From (48), we get that
Similarly, we obtain
From (49) and (50), we observe that
Applying Lemma 1 on the term gives:
From 6 and (52), we obtain
Through dividing both sides of (53) by we get that
Taking the double nabla-integral for (54) yields:
Using (2) in (55), yield:
From Lemma 5 and (56), we get:
This completes the proof. □
Remark 4.
In Theorem 17, as a special case, if we take , , and by following the same procedure employed in Remark 1, then we get [14] (Theorem 3.7).
Taking in Theorem 17, we have:
Corollary 8.
Assume , , . Define
Then
where
Taking in Theorem 17 gives:
Corollary 9.
Assume , , . Define
Then
where
Remark 5.
In Corollary 9, if , we get the result due to Hamiaz and Abuelela [12] (Theorem 7).
Corollary 10.
With the hypotheses of Theorem 17, we get:
3. Some Applications
We can apply our inequalities to obtain different formulas of inequalities by suggesting and by some functions:
4. Conclusions and Discussion
In this important work, we discussed some new dynamic inequalities of Hardy–Hilbert-type by using the nabla integral on time scales. We further presented some relevant inequalities as special cases: discrete inequalities and integral inequalities. These results may be used to get more generalized results of several obtained inequalities by replacing the Fenchel–Legendre transform with specific substitution. Furthermore, all results obtained in this manuscript may be generalized by using fractional conformable derivative calculus. Symmetry plays an essential role in determining the correct methods for solutions to dynamic inequalities.
Author Contributions
Conceptualization, resources, and methodology, A.A.E.-D. and O.B.; investigation and supervision, C.C.; data curation, O.B.; writing—original draft preparation, A.A.E.-D.; writing—review and editing, C.C.; project administration, A.A.E.-D. and O.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Hilger, S. Ein Maßkettenkalkül mit Anwendung auf Zentrumsmannigfaltigkeiten. Ph.D. Thesis, Universität Würzburg, Würzburg, Germany, 1988. [Google Scholar]
- Hilger, S. Analysis on measure chains—A unified approach to continuous and discrete calculus. Results Math. 1990, 18, 18–56. [Google Scholar] [CrossRef]
- Bohner, M.; Peterson, A. Dynamic Equations on Time Scales: An Introduction with Applications; Birkhauser Boston, Inc.: Boston, MA, USA, 2001. [Google Scholar]
- Bohner, M.; Bohner, L.; Peterson, A. Oscillation for nonlinear second order dynamic equations on a time scale. J. Math. Anal. Appl. 2005, 301, 491–507. [Google Scholar] [CrossRef]
- Bohner, M.; Peterson, A. Advances in Dynamic Equations on Time Scales; Birkhauser: Boston, MA, USA, 2003. [Google Scholar]
- Arnold, V.I. Lectures on Partial Differential Equations; Springer Science and Business Media: Berlin/Heidelberg, Germany, 2013. [Google Scholar]
- Borwein, J.; Lewis, A.S. Convex Analysis and Nonlinear Optimization: Theory and Examples; Springer Science and Business Media: Berlin/Heidelberg, Germany, 2010. [Google Scholar]
- Dong, Q.; Lu, Y.; Yang, J.; He, S. Approximately solving multivalued variational inequalities by using a projection and contraction algorithm. Numer. Algorithms 2017, 76, 799–812. [Google Scholar] [CrossRef]
- Hardy, G.H.; Littlewood, J.E.; Polya, G. Inequalities; Cambridge University Press: Cambridge, UK, 1952. [Google Scholar]
- Pachpatte, B.G. A note on Hilbert type inequality. Tamkang J. Math. 1998, 29, 293–298. [Google Scholar] [CrossRef]
- Handley, G.D.; Koliha, J.J.; Pecaric, J. A Hilbert type inequality. Tamkang J. Math. 2000, 31, 311–316. [Google Scholar] [CrossRef]
- Hamiaz, A.; Abuelela, W. Some new discrete Hilbert’s inequalities involving Fenchel-Legendre transform. J. Inequal. Appl. 2020, 2020, 39. [Google Scholar] [CrossRef]
- Abuelela, W. On an inequality related to Hilbert’s with Laplace transform. Int. J. Pure Appl. Math. 2015, 101, 87–94. [Google Scholar] [CrossRef][Green Version]
- Anderson, D.R. Dynamic double integral inequalities in two independent variables on time scales. J. Math. Inequal. 2008, 2, 163–184. [Google Scholar] [CrossRef]
- Fatma, M.K.H.; El-Deeb, A.A.; Abdeldaim, A.; Khan, Z.A. On some generalizations of dynamic Opial-type inequalities on time scales. Adv. Differ. Equ. 2019, 2019, 323. [Google Scholar]
- Saker, S.H.; El-Deeb, A.A.; Rezk, H.M.; Agarwal, R.P. On Hilbert’s inequality on time scales. Appl. Anal. Discret. Math. 2017, 11, 399–423. [Google Scholar] [CrossRef]
- Tian, Y.; El-Deeb, A.A.; Meng, F. Some nonlinear delay Volterra-Fredholm type dynamic integral inequalities on time scales. Discret. Dyn. Nat. Soc. 2018, 8, 5841985. [Google Scholar] [CrossRef]
- El-Deeb, A.A.-M.; Bazighifan, O.; Awrejcewicz, J. A Variety of Dynamic Steffensen-Type Inequalities on a General Time Scale. Symmetry 2021, 13, 1738. [Google Scholar] [CrossRef]
- El-Deeb, A.A.; Makharesh, S.D.; Baleanu, D. Dynamic Hilbert-Type Inequalities with Fenchel-Legendre Transform. Symmetry 2020, 12, 582. [Google Scholar] [CrossRef]
- El-Deeb, A.A.; Bazighifan, O.; Awrejcewicz, J. On Some New Weighted Steffensen-Type Inequalities on Time Scales. Mathematics 2021, 9, 2670. [Google Scholar] [CrossRef]
- El-Deeb, A.A.; Baleanu, D. New Weighted Opial-Type Inequalities on Time Scales for Convex Functions. Symmetry 2020, 12, 842. [Google Scholar] [CrossRef]
- El-Deeb, A.A.; Rashid, S.; Khan, Z.A.; Makharesh, S.D. New dynamic Hilbert-type inequalities in two independent variables involving Fenchel-Legendre transform. Adv. Differ. Equ. 2021, 2021, 239. [Google Scholar] [CrossRef]
- Chen, Q.; Yang, B. A survey on the study of Hilbert-type inequalities. J. Inequal. Appl. 2015, 2015, 302. [Google Scholar] [CrossRef]
- Huang, Q.; Yang, B. A multiple Hilbert-type integral inequality with a nonhomogeneous kernel. J. Inequal. Appl. 2013, 2013, 73. [Google Scholar] [CrossRef][Green Version]
- Kim, Y.H. An improvement of some inequalities similar to Hilbert’s inequality. Int. J. Math. Math. Sci. 2001, 28, 211–221. [Google Scholar] [CrossRef]
- Pachpatte, B.G. On some new inequalities similar to Hilbert’s inequality. J. Math. Appl. 1998, 226, 166–179. [Google Scholar] [CrossRef]
- Agarwal, R.; O’Regan, D.; Saker, S. Dynamic Inequalities on Time Scales; Springer: Cham, Switzerland, 2014. [Google Scholar]
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