Explicit Bounds to Some New Gronwall-Bellman-Type Delay Integral Inequalities in Two Independent Variables on Time Scales
Fanwei Meng,1Qinghua Feng,1,2and Bin Zheng2
Academic Editor: Bernard Geurts
Received20 Apr 2011
Accepted08 Aug 2011
Published13 Oct 2011
Abstract
Some new Gronwall-Bellman-type delay integral inequalities in two independent variables on time scales are established, which provide a handy tool in the research of qualitative and quantitative properties of solutions of delay dynamic equations on time scales. The established inequalities generalize some of the results in the work of Zhang and Meng 2008, Pachpatte 2002, and Ma 2010.
1. Introduction
During the past decades, with the development of the theory of differential and integral equations, a lot of integral and difference inequalities have been discovered, which play an important role in the research of boundedness, global existence, stability of solutions of differential and integral equations as well as difference equations. In these established inequalities, Gronwall-Bellman-type inequalities are of particular importance as these inequalities provide explicit bounds for unknown functions, and much effort has been done for developing such inequalities (e.g., see [1–13] and the references therein). On the other hand, Hilger [14] initiated the theory of time scales as a theory capable containing both difference and differential calculus in a consistent way. Since then many authors have expounded on various aspects of the theory of dynamic equations on time scales (e.g., see [15–17] and the references therein). In these investigations, integral inequalities on time scales have been paid much attention by many authors, and a lot of integral inequalities on time scales have been established (e.g., see [18–26]), which have been designed to unify continuous and discrete analysis and play an important role in the research of qualitative and quantitative properties of solutions of certain dynamic equations on time scales. But to our knowledge, Gronwall-Bellman-type delay integral inequalities on time scales have been paid little attention in the literature so far. Recent results in this direction include the works of Li [27] and Ma and Pečarić [28] to our best knowledge. Furthermore, nobody has studied Gronwall-Bellman-type delay integral inequalities in two independent variables on time scales.
Our aim in this paper is to establish some new Gronwall-Bellman-type delay integral inequalities in two independent variables on time scales, which unify some known continuous and discrete analysis. New explicit bounds for unknown functions are obtained due to the presented inequalities. We will also present some applications for our results.
First we will give some preliminaries on time scales and some universal symbols for further use.
Throughout the paper, denotes the set of real numbers and , while denotes the set of integers. For two given sets , , we denote the set of maps from to by .
A time scale is an arbitrary nonempty closed subset of the real numbers. In this paper, denotes an arbitrary time scale. On we define the forward and backward jump operators and by .
Definition 1.1. The graininess is defined by .
Remark 1.2. Obviously, if while if .
Definition 1.3. A point is said to be left-dense if and , right-dense if and , left-scattered if , and right-scattered if .
Definition 1.4. The set is defined to be if does not have a left-scattered maximum, otherwise it is without the left-scattered maximum.
Definition 1.5. A function is called rd-continuous if it is continuous at right-dense points and if the left-sided limits exist at left-dense points, while is called regressive if . denotes the set of rd-continuous functions, while denotes the set of all regressive and rd-continuous functions, and .
Definition 1.6. For some and a function , the delta derivative of is denoted by and satisfies
where , and is a neighborhood of which can depend on . Similarly, for some and a function , the partial delta derivative of with respect to is denoted by or and satisfies
where , and is a neighborhood of which can depend on .
Remark 1.7. If , then becomes the usual derivative , while if , which represents the forward difference.
Definition 1.8. For and a function , the Cauchy integral of is defined by
where . Similarly, for and a function , the Cauchy partial integral of with respect to is defined by
where .
Definition 1.9. The cylinder transformation is defined by
where Log is the principal logarithm function.
Definition 1.10. For with respect to , the exponential function is defined by
Remark 1.11. If , then for the following formula holds:
If , then, for , and .
The following two theorems include some known properties on the exponential function.
Theorem 1.12. If with respect to , then the following conclusions hold: (i) and ,(ii),(iii) if with respect to , then for all ,(iv) if with respect to , then ,(v), where .
Theorem 1.13. If with respect to is a fixed number, then the exponential function is the unique solution of the following initial value problem:
Theorems 1.12-1.13 are similar to [24, Theorems 5.1-5.2]. For more details about the calculus of time scales, we advise to refer to [29].
In the rest of this paper, for the convenience of notation, we always assume that , where , and furthermore assume that .
2. Main Results
We will give some lemmas for further use.
Lemma 2.1. Suppose that is a fixed number and with respect to , ; then
implies
where , and is the unique solution of the following IVP
The proof of Lemma 2.1 is similar to that of [24, Theorem 5.6], and we omit it here.
Lemma 2.2. Under the conditions of Lemma 2.1 and furthermore assuming that is nondecreasing in for every fixed , then one has
Proof. Since is nondecreasing in for every fixed , then from Lemma 2.1 we have
On the other hand, from [29, Theorems 2.39 and 2.36 (i)] we have . Then collecting the above information we can obtain the desired inequality.
Lemma 2.3 (see [30]). Assume that , and , then for any
Theorem 2.4. Suppose that and are nondecreasing. are constants, and . . . If for , satisfies the following inequality:
with the initial condition
then
where
Proof. Let the right side of (2.7) be . Then
If and , then , and since are nondecreasing we have
If or , then from (2.8) we have
From (2.14) and (2.15) we have
Fix , and let ; then
From Lemma 2.3, we have
So combining (2.17) and (2.18), it follows that
where are defined in (2.10) and (2.11), respectively. Considering , by application of Lemma 2.1, we have
Since is arbitrary, then in fact (2.20) holds for all , that is,
Combining (2.13) and (2.21), we obtain
which is the desired inequality.
If we apply Lemma 2.2 instead of Lemma 2.1 at the end of the proof of Theorem 2.4, we obtain the following theorem.
Theorem 2.5. Suppose that are defined as in Theorem 2.4. If that for satisfies the following inequality:
with the initial condition (2.8), then
where
From Theorems 2.4 and 2.5 we can obtain two direct corollaries.
Corollary 2.6. Under the conditions of Theorem 2.4, if, for , satisfies the following inequality:
with the initial condition (2.8) (p=1), then
where
Corollary 2.7. Under the conditions of Theorem 2.5, if, for , satisfies the following inequality:
with the initial condition (2.8) (), then
where
Theorem 2.8. Suppose that , are defined as in Theorem 2.4, and , . If, for satisfies the following inequality:
then .
The proof of Theorem 2.8 is similar to Theorem 2.4, and we omit it here.
Based on Theorem 2.4, we will establish a class of Volterra-Fredholm-type integral inequality on time scales.
Theorem 2.9. Suppose that are the same as in Theorem 2.4, and are two fixed numbers. If, for satisfies the following inequality:
with the initial condition (2.8), then one has
provided that , where
Proof. Let the right side of (2.33) be and
Then
Similar to the process of (2.14)–(2.16) one has
Fix , and let . Then
Considering the structure of (2.45) is similar to (2.17), then following in a same manner as the process of (2.17)–(2.20) we can deduce
where are defined in (2.36) and (2.37), respectively. Since is selected from arbitrarily, then in fact (2.46) holds for all , that is,
where are defined in (2.38) and (2.39), respectively. On the other hand, from (2.18), (2.42), and (2.44) we obtain
where is defined in (2.35). Then using (2.47) in (2.48) yields
which implies
Combining (2.43), (2.47), and (2.50) we can obtain the desired inequality (2.34).
In the proof of Theorem 2.9, if we let the right side of (2.33) be in the first statement, then following in a same process as in Theorem 2.9 we obtain another bound on the function , which is shown in the following theorem.
Theorem 2.10. Under the conditions of Theorem 2.9, if, for , satisfies (2.33) with the initial condition (2.8), then the following inequality holds:
provided that , where
Finally, we will establish a more general inequality than that in Theorems 2.9-2.10. Consider the following inequality:
with the initial condition (2.8), where are the same as in Theorem 2.4, are two fixed numbers. , and for , where .
Theorem 2.11. If, for satisfies (2.53), then the following inequality holds:
provided that , where
Proof. Let the right side of (2.53) be and
Then
Similar to the process of (2.14)–(2.16) we have
Fix , and let . Then
From Lemma 2.3, we have
Combining (2.65) and (2.66), it follows that
where are defined in (2.56) and (2.57), respectively. We notice the structure of (2.67) is similar to (2.19), so following in a same manner as in (2.19)–(2.21) we obtain
where are defined in (2.58) and (2.59), respectively. On the other hand, from (2.62), (2.64), and (2.66) we have
where is defined in (2.55). Then using (2.68) in (2.69) yields
which implies
Combining (2.63), (2.68), and (2.71), we obtain the desired inequality (2.54).
Remark 2.12. The established above inequalities generalize many known results including both integral inequalities for continuous functions and discrete inequalities. For example, if we take , then Theorem 2.4 reduces to [1, Theorem 2.2], which is one case of integral inequality for continuous function. If we take , then Corollary 2.7 reduces to [2, Theorem 3 (c1)], which is another case of inequality for continuous function. If we take , then Theorem 2.10 reduces to [1, Theorem 2.2] with slight difference. If we take , then Theorem 2.10 reduces to [3, Theorem 2.1], which is a discrete inequality.
Remark 2.13. Since is an arbitrary time scale, then if we take for some peculiar cases, such as or , we can deduce a series of corollaries according to Theorem 2.4–2.11. Due to the limited space, we omit them here.
3. Some Applications
In this section, we will present some applications for the results we have established previously. New explicit bounds for solutions of certain dynamic equations are derived in the first two examples, while the quantitative property of solutions is focused on in the final example.
Example 3.1. Consider the following delay dynamic differential equation:
with the initial condition
where , , , is delta differential, and , is a constant, . are the same as in Theorem 2.4.
Theorem 3.2. Suppose that is a solution of (3.1)-(3.2), , and , , where are defined as in Theorem 2.4; then
where
and is defined as in Theorem 2.4 (with ).
Proof. The equivalent integral equation of (3.1) can be denoted by
Then
and a suitable application of Theorem 2.4 to (3.6) yields the desired inequality (3.3).
Theorem 3.3. Under the conditions of Theorem 3.2, one has
where are defined as in Theorem 3.2.
Proof. The desired inequality can be obtained by an application of Theorem 2.5 to (3.6).
Example 3.4. Consider the following delay dynamic integral equation:
with the initial condition
where , is a constant, , are two fixed numbers. . are the same as in Theorem 2.4.
Theorem 3.5. Suppose is a solution of (3.8)-(3.9) and , where are defined the same as in Theorem 2.11; then the following inequality holds:
provided that , where are defined the same as in Theorem 2.11, and
Proof. From (3.8) we have
So by use of Theorem 2.11 we obtain the desired inequality (3.10).
Example 3.6. Consider the following delay dynamic integral equation:
where , . are the same as in Theorem 2.4.
Theorem 3.7. Assume that , where are defined as in Theorem 2.4, and; furthermore, assume that , then (3.13) has at most one solution.
Proof. Suppose that are two solutions of (3.13); then we have
Then a suitable application of Theorem 2.8 yields , that is, , and the proof is complete.
4. Conclusions
In this paper, we established some new Gronwall-Bellman type integral inequalities on time scales. As one can see, the presented results provide a handy tool in the quantitative as well as qualitative analysis of solutions of certain delay dynamic equations on time scales. The established inequalities unify some known continuous and discrete inequalities.
Acknowledgments
This work is supported by Natural Science Foundation of Shandong Province (ZR2009AM011) China and Specialized Research Fund for the Doctoral Program of Higher Education (20103705110003) China. The authors thank the referees very much for their careful comments and valuable suggestions on this paper.
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