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 Fenchel–Legendre transform, submultiplicative functions. We prove the -nabla conformable Hölder’s and Jensen’s inequality on time scales. We prove several inequalities due to Hardy–Hilbert inequalities on time scales. Furthermore, we introduce the continuous inequalities and discrete inequalities as special case.
1. Introduction
In this section, we give several foundational definitions and notations of basic calculus of time scales. Stefan Hilger in his PhD thesis [1] discovered a new calculus named after that time-scale calculus to unify the discrete and continuous analysis (see [2]). Since then, this theory has received a lot of attention. The book by Bohner and Peterson [3], on the subject of time scales, briefs and organizes much of time scale calculus.
We begin with the definition of time scale.
Definition 1.
A time scale is an arbitrary nonempty 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 and the backward jump operator by
and
In the above definitions, we put (i.e., if t is the maximum of , then ) and (i.e., if t is the minimum of , then ), where ∅ 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.
- The forward graininess function is defined by
- 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 proximity of their neighboring points in the following manner.
Definition 4.
Let be a time scale. A point is said to be:
- Right-scattered if ;
- Left-scattered if ;
- Isolated if ;
- Right-dense if ;
- Left-dense if ;
- Dense if .
The closed interval on time scales 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:
- f being nabla differentiable at t implies f is continuous at t.
- f being continuous at left-scattered t implies f is nabla differentiable at t with
- 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,
- whenever f is nabla differentiable at t.
Example 1.
- Let . Then
- Let . Thenwhere ∇ is the backward difference operator.
Theorem 2.
Let f, be functions that are nabla differentiable at . Then:
- The sum is nabla differentiable at t with
- If is a constant, then the function is nabla differentiable at t with
- The product is nabla differentiable at t, and we obtain the product rule
- The function is nabla differentiable at t with
- The quotient is nabla differentiable at t, and we obtain 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 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
- ;
- ;
- )
- ;
- ;
- ;
- if on , then ;
- if on , then .
Theorem 7.
Let be a ld-continuous function, and .
- In the case that , we havewhere the integral on the right-hand side is the Riemann integral from calculus.
- In the case that consists of only isolated points, we have
- In the case that , where , we have
- 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.
- 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 .
- 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 . Please note that:
- If , then
- If , thenwhere ∇ is the forward difference operators, respectively.
Recently, depending just on the basic limit definition of the derivative, Khalil et al. [4] proposed the conformable derivative of a function
for all , , this definition found wide resonance in the scientific community interested in fractional calculus, see [5,6,7]. Iyiola and Nwaeze in [5] proposed an extended mean value theorem and Racetrack type principle for a class of -differentiable functions. Therefore, calculating the derivative by this definition is easy compared to the definitions that are based on integration. The researchers in [4] also suggested a definition for the -conformable integral of a function as follows:
After that, Abdeljawad [8] studied extensive research of the newly introduced conformable calculus. In his work, he introduced a generalization of the conformable derivative definition. For as
Benkhettou et al. [9] introduced a conformable calculus on an arbitrary time scale, which is a natural extension of the conformable calculus.
However, in the last few decades, many authors pointed out that derivatives and integrals of non-integer order are very suitable for the description of properties of various real materials, e.g., polymers. Fractional derivatives provides an excellent instrument for the description of memory and hereditary properties of various materials and processes. This is the main advantages of fractional derivatives in comparison with classical integer-order models.
In [10], the authors studied a version of the nabla conformable fractional derivative on arbitrary time scales. Specifically, for a function , the nabla conformable fractional derivative, of order at and was defined as: Given any there is a - neighborhood of such that
for all The nabla conformable fractional integral is defined by
Rahmat et al. [11] presented a new type of conformable nabla derivative and integral which involve the time-scale power function for s, .
Definition 9.
Suppose and The generalized time-scale power function for is defined by
and its inverse function is then given by
Notice that:
Corollary 1.
For , we have Then
and
where
For we have Then we write
Remark 1.
Regarding the generalization of the power function, to real values of (instead of integers), we have
where
Definition 10
(Conformable nabla derivative). Given a function and f is -nabla differentiable at if it is nabla differentiable at t, and its -nabla derivative is defined by
where the function as defined in (4). If exists in some interval then we define
if the exists. Moreover, we call f is -nabla differentiable on provided exists for all The function is then called -nabla derivative of f on
Next, we present the -nabla derivatives of products, sums, and quotients as follows.
Theorem 9.
Assume are -nabla differentiable at Then:
- (i)
- The sum is -nabla differentiable at t with
- (ii)
- For all then is -nabla differentiable at t with
- (iii)
- The product is -nabla differentiable at t with
- (iv)
- If then is -nabla differentiable at t with
Lemma 1
(Integration by parts). Suppose that where If ξ are conformable -nabla fractional differentiable and then:
Lemma 2
(Chain rule). Let and assume that is continuously differentiable function. Then is -nabla differentiable and satisfies
Lemma 3.
Let Assume is continuous and -nabla differentiable of order γ at where and is continuously differentiable. Then there is c in the real interval such that
Definition 11
(-nabla-integral from a). Assume that and then we the function f is called -nabla integrable on . if:
exists and is finite.
Theorem 10.
Suppose and with and then
We need the relations between different types of calculus on time scales and continuous calculus, discrete calculus and quantum calculus as follows. Please note that: For the case we obtain
If we obtain
For we have
Theorem 11.
Let and Then, for any ld-continuous function there exists a function such that
The function F is called an -nabla antiderivative of f, and we have
Theorem 12.
Let If , and then
- (i)
- (ii)
- (iii)
- (iv)
- (v)
- (vi)
- If on , then
Lemma 4.
Let Assume is continuous and -nabla differentiable of order γ at where and is continuously differentiable. Then there is c in the real interval such that
Next, we introduce the Fenchel–Legendre transform [12,13,14].
Definition 12.
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.
Lemma 5
( [12]). Suppose a function ψ and suppose Fenchel–Legendre transform of ψ, we obtain
for all , and
Definition 13.
We said Ω is submultiplicative if
Lemma 6
([15]). Let is left-dense continuous function. Then the equality that allows interchanging the order of nabla integration given by
holds for all s, w, .
Lemma 7
([16]). Let w and be such that and , then
Over several decades Hilbert-type inequalities have been attracted many researchers and several refinements and extensions have been done to the previous results, we refer the reader to the works [15,16,17,18,19,20,21,22,23,24,25,26].
The celebrated Hardy–Hilbert’s integral inequality [27] is
where , and the constant is best possible. As special case, if , the inequality (29) is reduced to the classical Hilbert integral inequality
where the coefficient t is best possible.
In [28], Pachappte established a discrete Hilbert-type inequality and its integral version as in the following two theorems:
Theorem 13.
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 14.
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 13. Then
where
In [29], Handley et al. gave general versions of inequalities (30) and (31) in the following two theorems:
Theorem 15.
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 submultiplicative functions defined on Let and set , and Then
where
Theorem 16.
Let with let be n positive functions defined for Set for where are positive real numbers. Let and be as in Theorem 15. Then
where
Hamiaz et al. [22] discussed the inequalities:
Theorem 17.
Let and be sequences of real numbers. Define Then
and
unless or is null, where
In this important article, by implying (24), we study some new dynamic inequalities of Hardy–Hilbert type using nabla-integral on time scales. We further show some relevant inequalities as special cases: discrete inequalities and integral inequalities. These inequalities maybe be used to obtain more generalized results of several obtained inequalities before by replace , by specific substitution.
2. Main Results
In the following, we will let , and
We start with a foundational results before introducing the main inequalities.
Lemma 8.
Suppose the time scales with t, such that Let be left-dense continuous function with and Then
Proof.
We fix the point , . Assume t is left-dense, by making a modification of the chain rule, we obtain
Letting t be a left-scattered point. Define as
and
where we used (17). Using the differentiability of the real-valued function , where and applying the mean value theorem, we obtain
Lemma 9
(Generalized -nabla Hölder fractional inequality on timescales). Let where . If and then
where and . This inequality is reversed if and if or
Proof.
Setting
and applying the Young inequality where B are nonnegative, and we see that
which is the desired inequality (38). On the other hand, without loss of generality, we assume that Set and Then From (38) we have that
Letting and in the last inequality, we obtain the inverse inequality of (38). The proof is complete. □
Lemma 10
(Generalized -nabla Jensen’s fractional inequality on timescales). Let δ, and c, . Assume that and are nonnegative with . If is a convex function, then
It is easy to see that inequality (39) are turned around if Φ is concave.
Proof.
Because the convexity of . For there exists such that
Suppose
From (40) and item (vi) in Theorem 12, we obtain
Theorem 18.
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 9. Then from (44), we obtain
Applying Lemma 9. Thus, from (45), we obtain
From inequality (48), we have
From (54) using Lemma 9 we obtain
From (55), we obtain
This completes the proof. □
Remark 2.
Remark 3.
In Remark 2, if we take , we obtain [15] [Theorem 3.3].
Theorem 19.
Suppose , and are defined as in Theorem 18, thus
and
In Theorem 18, if we chose , then the next results:
Corollary 2.
If , . Define and , then
where
In Theorem 18, if we chose , and the next result:
Corollary 3.
Let , be sequences of nonnegative real numbers where N, . Define
Then
where
Corollary 4.
With the hypotheses of Theorem 18, we have:
and
Theorem 20.
Assuming the time scale with and are defined as in Theorem 18. 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 (10), we obtain
Using (9) in (59), we see that
Additionally, from the convexity and submultiplicative property of , we obtain using (10) and (9):
Using (24) on gives:
Applying Lemma 7 on the right-hand side of (63), we see that
From (64), we have
From (65), we obtain
From (66), using (9), we have
This completes the proof. □
Remark 4.
In Theorem 20, as special case, if we take , , and by following the same procedure employed in Remark 2, then we obtain [15] [Theorem 3.5].
In Theorem 20, taking and we have the result:
Corollary 5.
Assume that and , we define
Then
where
In Theorem 20, taking , and gives the result:
Corollary 6.
Let , , , be sequences of nonnegative real numbers where N, . Define
Then
where
Remark 5.
In Corollary 6, if we obtain the result due to Hamiaz and Abuelela [22] [Theorem 5].
Corollary 7.
Under the hypotheses of Theorem 20 the following inequality hold:
Lemma 11.
With hypotheses of Theorem 20, we obtain:
where
Proof.
From (69), using (9) with , we obtain
This proves our claim. □
Theorem 21.
Let δ, ξ, Ψ and Φ be as in Theorem 20. Furthermore, assume that for w,
then for and we have that
where
Proof.
From (71), we see that
Applying Lemma 9 on (73), we obtain
From (74), we obtain
Similarly, we obtain
Applying Lemma 5 on the term gives:
From 7 and (78), we obtain
Dividing both sides of (79) by we obtain
Taking double nabla-integral for (80), yields:
Using Lemma 9 in (81), yield:
From Lemma 6 and (82), we obtain:
This completes the proof. □
Remark 6.
In Theorem 21, as special case, if we take , , and by following the same procedure employed in Remark 2, then we obtain [15] [Theorem 3.7].
Taking and in Theorem 21, we have:
Corollary 8.
Assume , , . Define
Then
where
Taking and in Theorem 21, gives:
Corollary 9.
Let , , , be sequences of nonnegative real numbers where N, . Define
Then
where
Remark 7.
In Corollary 9, if we obtain the result due to Hamiaz and Abuelela [22] [Theorem 7].
Corollary 10.
With the hypotheses of Theorem 21, we obtain:
3. Some Applications
We can apply our inequalities to obtain different formulas of inequalities by suggesting and by some functions:
Consequently, for inequality (83) produces
On the other hand, if we take then where and then (43) gives
Clearly, when the inequality (85) becomes
If . From (85), we obtain
4. Conclusions
In this manuscript, by employing the ∇-conformable calculus, several ∇-conformable Hardy–Hilbert-type inequalities on time scales are introduced. The results proved here, extend several dynamic inequalities known in the literature, and it also can yield to some original continuous, discrete and quantum inequalities. For the sake of completeness, we applied the main results to some nonuniform time scales. To illustrate the benefits of our results we introduced many special cases of time scales such as and .
Author Contributions
Conceptualization, resources and methodology, A.A.E.-D. and J.A.; investigation, supervision, J.A.; data curation, J.A.; writing—original draft preparation, A.A.E.-D.; writing—review and editing, A.A.E.-D. and J.A.; project administration, A.A.E.-D. All authors read and agreed to the published version of the manuscript.
Funding
This work has been supported by the Polish National Science Centre under the grant OPUS 14 No. 2017/27/B/ST8/01330.
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.
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