Abstract
We established several novel inequalities of Gronwall–Pachpatte type on time scales. Our results can be used as handy tools to study the qualitative and quantitative properties of the solutions of the initial boundary value problem for a partial delay dynamic equation. The Leibniz integral rule on time scales has been used in the technique of our proof. Symmetry plays an essential role in determining the correct methods to solve dynamic inequalities.
1. Introduction
Stefan Hilger initiated the theory of time scales in his PhD thesis [1] in order to unify discrete and continuous analysis. 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 so-called time scale , which is an arbitrary closed subset of the reals . The three most common examples of calculus on time scales are continuous calculus, discrete calculus, and quantum calculus, i.e., when and where . The books due to Bohner and Peterson [2,3] on the subject of time scales brief and organize much of time scales calculus.
Gronwall–Bellman-type inequalities, which have many applications in qualitative and quantitative behavior, have been developed by many mathematicians and several refinements and extensions have been made to the previous results. We refer the reader to the works [4,5,6,7,8,9,10,11,12,13,14].
Anderson [15] presented the following result on time scales.
where u, a, c, and d are non-negative continuous functions defined for and b is a non-negative continuous function for , and with for .
In [16], the authors discussed the following results:
and
where u, f, and are nondecreasing functions, , and are nondecreasing with on on , and , , with for , and .
In this paper, by applying Leibniz integral rule on time scales, see Theorem 1 (iii) below, we established the delayed time scale version of the inequalities proved in [16]. Further, the results that are proved in this paper extended some known results in [17,18,19]. The paper is arranged as follows: In Section 2, we briefly presented the basic definitions and concepts related to the calculus of time scales. In Section 3, we proved the auxiliary results. In Section 4, we stated and proved the main results. In Section 5, we presented an application to discuss the boundedness of the solutions of an initial boundary value problem on time scales. In Section 6, we stated the conclusion. Symmetry plays an essential role in determining the correct methods to solve dynamic inequalities.
2. Preliminaries
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 is the maximum of , then ) and (i.e., if 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
Assume is a function and . Then is said to be the delta derivative of f at if for any there exists a neighborhood U of such that, for every , we have
Moreover, f is said to be delta differentiable on if it is delta differentiable at every .
Let f, be delta differentiable functions at . Then we have the following:
- ()
- ;
- ()
- ;
- ()
- .
A function is said to be right-dense continuous (rd-continuous) if is continuous at the right-dense points in and its left-sided limits exist at all left-dense points in .
We say that a function is a delta antiderivative of if for all . In this case, the definite delta integral of f is given by
If and , , then the definite integral exists, and holds.
Let , , , , and f, be right-dense continuous functions on . Then
- ()
- ;
- ()
- ;
- ()
- ;
- ()
- ;
- ()
- ;
- ()
- if on , then .
We use the following crucial relations between calculus on time scales and differential calculus on and difference calculus on . Note that:
- ()
- If , then
- ()
- If , then
Theorem 1
([10], Leibniz integral rule on time scales). In the following, by we mean the delta derivative of with respect to . Similarly, is understood. If Ψ, , and are continuous and are delta-differentiable functions, then the following formulas hold :
- (i)
- (ii)
- (iii)
- (iv)
3. Auxiliary Result
We prove the following fundamental lemma that will be needed in our main results.
Lemma 1.
Suppose and are two time scales and is nondecreasing with respect to . Assume that τ, κ, , , and are nondecreasing functions with on and on . Furthermore, suppose are nondecreasing functions with for and If satisfies
for , then
for and , where
and is chosen so that
Proof.
Suppose that . Fixing an arbitrary , we define a positive and nondecreasing function by
for and . Then, and
Takingthe -derivative for (7) with employing Theorem 1, we have
The inequality (9) can be written in the form
Taking the -integral for inequality (10) we obtain
Since is chosen arbitrarily,
Remark 1.
If we take , , and in Lemma 1, then, inequality (4) becomes the inequality obtained in ([16], Lemma 2.1).
4. Main Results
In the following theorems, with the help of the Leibniz integral rule on time scales and Theorem 1 (item ) and employing Lemma 1, we establish some new dynamic inequalities of the Gronwall–Bellman–Pachpatte type of time scale.
Theorem 2.
Let κ, a, f, , and be as in Lemma 1. Let also If satisfies
for , then
for and where is defined by (6) and
and is chosen so that
Proof.
By the same steps of the proof of Lemma 1, we can obtain (13), with suitable changes. □
Remark 2.
If we take , then Theorem 2 reduces to Lemma 1.
Corollary 1.
Let the functions κ, f, , , a, , and be as in Theorem 2. Further, suppose that are constants. If satisfies
for , then
where
Proof.
Theorem 3.
Proof.
Assume that . Fixing an arbitrary , we define a positive and nondecreasing function by
for , and . Then, and
Taking the -derivative for (20) with employing Theorem 1 () gives
From (22), we have
Taking the -integral for (23) gives
Since is chosen arbitrarily, the last inequality can be rewritten as
Since is a nondecreasing function, an application of Lemma 1 to (24) gives us
Suppose that for some . Let , for all , where be arbitrary. Then, and are nondecreasing with respect to . We carry out the above procedure with instead of , and we obtain
where
Letting , we obtain (18). The proof is complete. □
Remark 3.
If we take , , and in Theorem 3, then the inequality (17) becomes the inequality obtained in ([16], Theorem 2.2(A_2)).
Corollary 2.
Let the functions κ, a, f, , , and be as in Theorem 2. Further suppose that q, p, and r are constants with , , and . If satisfies
for , then
where
Proof.
An application of Theorem 3 with , and yields the desired inequality (27). □
Theorem 4.
Under the hypotheses of Theorem 3, if satisfies
for , then
for and , where
and is chosen so that
Proof.
Assume that . Fixing an arbitrary , we define a positive and nondecreasing function by
for and . Then, , and
By the same steps as in the proof of Theorem 3, we obtain
We define a non-negative and nondecreasing function by
Then, ,
and then, employing Theorem 1 (), we have
or
Taking the -integral for the above inequality gives
or
Remark 4.
If we take and and in Theorem 4, then, inequality (28) becomes the inequality obtained in ([16], Theorem 2.2(A)).
Corollary 3.
Under the hypotheses of Corollary 2, if satisfies
for , then
where
Proof.
An application of Theorem 4 with , and yields the desired inequality (34). □
Theorem 5.
Under the hypotheses of Theorem 3, if satisfies
for , then
for and , where
and is chosen so that
Proof.
Suppose that . Fixing an arbitrary , we define a positive and nondecreasing function by
for and . Then, , and
Employing Theorem 1 (),
Then,
Taking the -integral for the above inequality gives
Then,
Since is chosen arbitrarily, the last inequality can be restated as
It is easy to observe that be a positive and nondecreasing function for all . Then, an application of Lemma 1 to (41) yields the inequality
If , we carry out the above procedure with instead of and subsequently let . The proof is complete. □
Remark 5.
If we take and and in Theorem 5, then, inequality (35) becomes the inequality obtained in ([16], Theorem 2.7).
Theorem 6.
Under the hypotheses of Theorem 3, let p be a non-negative constant. If satisfies
for , then
for and , where
and and are as in Theorem 5 and is chosen so that
Proof.
An application of Theorem 5, with , yields the desired inequality (44). □
Remark 6.
Take , the inequality established in Theorem 6 generalizes ([18], Theorem 1) (with , , , , , and ).
Corollary 4.
Under the hypotheses of Theorem 6, let be constants. If satisfies
for , then
for and , where
and is defined in Theorem 5.
Proof.
Remark 7.
Taking , , , , , and in Corollary 4, we obtain ([20], Theorem 1).
Remark 8.
Taking , , , , , and and keeping t fixed in Corollary 4, we obtain ([21], Theorem 2.1).
5. Application
In the following, we discuss the boundedness of the solutions of the initial boundary value problem for a partial delay dynamic equation of the form
for , where and and are nondecreasing functions such that on , on , and and .
Theorem 7.
Proof.
If is any solution of (48), then
Using the conditions (49)–(51) in (53), we obtain
Now, making a change in variables on the right side of (54), for and for . We obtain the inequality
We can rewrite the inequality (55) as follows:
As an application of Corollary 1 to (56) with we obtain the desired inequality (52). □
6. Conclusions
In this work, by employing the Leibniz integral rule on time scales, we studied further extensions of the delay dynamic inequalities proved in [15,16] and generalized a few of those inequalities to a generic time scale. We also looked at the qualitative characteristics of various different dynamic equations’ time scale solutions. Furthermore, as future work, we intend to give more generalizations of these results in other directions by using the -Hahn difference operator.
Author Contributions
Conceptualization, A.A.E.-D. and D.B.; formal analysis, A.A.E.-D. and D.B.; investigation, A.A.E.-D. and D.B.; writing—original draft preparation, A.A.E.-D. and D.B.; writing—review and editing, A.A.E.-D. and D.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
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