Abstract
In this paper, some new types of nonlinear integral inequalities on time scales with ‘maxima’, which provide explicit bounds on unknown functions, are established. The importance of these integral inequalities is given by their wide applications in qualitative investigations of differential equations with ‘maxima’. An example is also presented to illustrate our results.
MSC:34A40, 26D15, 39A13.
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1 Introduction
The theory of time scales (closed subsets of ℝ) was created by Hilger [1] in order to unify continuous and discrete analysis and in order to extend those theories to other kinds of the so-called dynamic equations. Many authors have expounded on various aspects of the theory of dynamic equations on time scales. We refer the reader to the monograph [2] and the references cited therein. Also, a few papers studied the theory of dynamic inequalities on time scales; see, for example, [3–17].
Differential equations with ‘maxima’ are a special type of differential equations that contain the maximum of the unknown function over a previous interval. Several integral inequalities have been established in the case when maxima of the unknown scalar function is involved in the integral; see [18–21] and the references cited therein.
Recently in [22] we initiated the study of integral inequalities on time scales with ‘maxima’, where some new integral inequalities were established. The significance of our work in [22] lies in the fact that ‘maxima’ are taken on intervals which have non-constant length, where . Most papers take the ‘maxima’ on , where is a given constant.
In this paper we continue the study of [22] and investigate some nonlinear dynamic integral inequalities on time scales with ‘maxima’. This paper is organized as follows. In Section 2 we give some preliminary results with respect to the calculus on time scales. In Section 3 we deal with our nonlinear dynamic inequalities on time scales with ‘maxima’. In Section 4 we give an example to illustrate our main results.
2 Preliminaries
In this section, we list the following well-known definitions and some lemmas which can be found in [2] and the references therein.
Definition 2.1 A time scale is an arbitrary nonempty closed subset of the real set ℝ with the topology and ordering inherited from ℝ.
The forward and backward jump operators and the graininess are defined, respectively, by
for all . If , t is said to be right scattered, and if , t is said to be left scattered; if , t is said to be right dense, and if , t is said to be left dense. If has a right-scattered minimum m, define ; otherwise set . If has a left-scattered maximum M, define ; otherwise set .
Definition 2.2 A function is rd-continuous (rd-continuous is short for right-dense continuous) provided it is continuous at each right-dense point in and has a left-sided limit at each left-dense point in . The set of rd-continuous functions will be denoted by .
Definition 2.3 For and , the delta derivative of f at the point t is defined to be the number (provided it exists) with the property that for each , there is a neighborhood U of t such that
for all .
Definition 2.4 For a function (the range ℝ of f may be actually replaced by a Banach space), the (delta) derivative is defined at point t by
if f is continuous at t and t is right scattered. If t is not right scattered, then the derivative is defined by
provided this limit exists.
Definition 2.5 If , then we define the delta integral by
Lemma 2.1 ([2])
Assume that is strictly increasing and is a time scale. If is an rd-continuous function and ν is differentiable with rd-continuous derivative, then for ,
Lemma 2.2 ([23])
Assume that , , and . Then
3 Main results
For convenience of notation, we let throughout , , and an interval . In addition, for a strictly increasing function , is a time scale such that . For , we define a notation of the composition of two functions on time scales by
Example 3.1 Let for and for . Then we have for and
Theorem 3.1 Let the following conditions be satisfied:
-
(i)
The function is strictly increasing.
-
(ii)
The functions a, b, p and .
-
(iii)
The function , where and .
-
(iv)
The function is increasing.
-
(v)
The function and satisfies the inequalities
(3.1)
where .
Then, for all satisfying
we have
where
and
which , and is the inverse of H.
Proof We define a function by
where M is defined by (3.4). Note that the function is nondecreasing.
It follows that the inequality
holds. Therefore, for and , we have
For and , we have
Then, from the definition of and the above analysis, we get for that
From inequality (3.6) we have
which implies
On the other hand, for , if , then
If , then
where ω lies between and . Hence from (3.8) and (3.9) we have
Combining (3.7) and (3.10), we get
An integration for the above inequality with respect to t from to t yields
Since is an increasing function, we obtain
which results in (3.3). This completes the proof. □
We introduce the following classes of functions in connection with the nonlinearity of the considered integral inequality.
Definition 3.1 ([24])
We will say that a function is from class Φ if the following conditions are satisfied:
-
(i)
h is a nondecreasing function;
-
(ii)
for ;
-
(iii)
for , ;
-
(iv)
.
Definition 3.2 ([24])
We will say that a function is from class Ω if the following conditions are satisfied:
-
(i)
h is a nondecreasing function;
-
(ii)
for ;
-
(iii)
for , ;
-
(iv)
for ;
-
(v)
.
Note that the functions and are from class Ω.
In the case when in place of the constant k involved in Theorem 3.1 we have a function , we obtain the following result using functions from class Φ.
Theorem 3.2 Let the following conditions be satisfied:
-
(i)
The conditions (i)-(iii) of Theorem 3.1 are satisfied.
-
(ii)
The function and .
-
(iii)
The function is nondecreasing.
-
(iv)
The function and satisfies the inequalities
(3.11)(3.12)
Then, for all satisfying
we have
where
and is defined by (3.5).
Proof From inequality (3.11) we obtain for
Let us define functions and by
Note that the function is nondecreasing on .
By conditions (ii) and (iii) of Theorem 3.2, it follows that for and . From the monotonicity of and , we get for and that
For and , we have
From inequalities (3.15), (3.16) and (3.17) and the definition of , we have
Using Theorem 3.1 for (3.18) and (3.19), we get
which results in (3.13). This completes the proof. □
In the case when the function involved in the right part of inequality (3.11) is not a monotonic function, we obtain the following result.
Theorem 3.3 Let the following conditions be satisfied:
-
(i)
The conditions (i)-(ii) of Theorem 3.1 are satisfied.
-
(ii)
The function with , where and .
-
(iii)
The function and .
-
(iv)
The function and satisfies the inequalities
(3.20)(3.21)
Then, for all satisfying
we have
where is defined by (3.5) and
Proof Let us define a function by
Therefore,
From the definition of the function , it follows that
where the function is defined in (3.23).
Since the function is nondecreasing and , by using Theorem 3.2 for (3.26) and (3.27), we get
which results in (3.22). This completes the proof. □
Now we will consider an inequality in which the unknown function into the left part is presented in a power.
Theorem 3.4 Let the following conditions be fulfilled:
-
(i)
The conditions (i)-(iii) of Theorem 3.1 and (iii) of Theorem 3.3 are satisfied.
-
(ii)
The function is nondecreasing and the following inequality
(3.28)
holds.
-
(iii)
The function and satisfies the inequalities
(3.29)(3.30)
Then, for all satisfying
we have
where
with
for any constant .
Proof Define a function by
It follows from inequality (3.29) for that
Using Lemma 2.2, for any , we obtain
From inequality (3.28) and applying Lemma 2.2, for any , we have
Indeed, by using inequality (3.36), we have for
where is defined by (3.33).
Now we define a nondecreasing function by , where L and are defined by (3.28) and (3.32), respectively.
From the definition of the function , it follows that
From inequalities (3.38) and (3.39), we get for ,
Applying Theorem 3.2 for (3.40) and (3.41), we obtain
which results in (3.31). This completes the proof. □
Next we will consider an inequality which has powers on both sizes.
Theorem 3.5 Let the following conditions be fulfilled:
-
(i)
The conditions (i)-(iii) of Theorem 3.1 and (iii) if Theorem 3.3 are satisfied.
-
(ii)
The function is nondecreasing and the following inequality
(3.42)
holds for any constant and .
-
(iii)
The function and satisfies the inequalities
(3.43)(3.44)
Then, for all satisfying
we have
where
with
Proof We define a function by
From inequality (3.43) we have for
By using Lemma 2.2, for any , we obtain
Moreover, we have
and
where is defined by (3.47). From the definition of the function , it follows that
From inequalities (3.56) and (3.57), we have
where a nondecreasing function is defined by , where K and are defined in (3.42) and (3.46), respectively.
Applying Theorem 3.2 for (3.58) and (3.59), we obtain
which results in (3.45). This completes the proof. □
In the case when the unknown function is involved nonlinearly in the left part of the inequality, we obtain the following result.
Theorem 3.6 Let the following conditions be fulfilled:
-
(i)
The conditions (i)-(iv) of Theorem 3.1 are satisfied.
-
(ii)
The function is strictly increasing, .
-
(iii)
The function and satisfies the inequalities
(3.60)
where .
Then, for all satisfying
and
we have
where
and
where , and is the inverse of .
Proof Define a function by
where P is defined by (3.63). Note that the function is nondecreasing.
It follows that the inequality
holds. Therefore, for and , we have
For and , we have
Then, from the definition of and the above analysis, we get for that
According to Theorem 3.1, from inequalities (3.65) and (3.66), we have
which results in (3.62). This completes the proof. □
In the case when in place of the constant k involved in Theorem 3.6 we have a function , we obtain the following result.
Theorem 3.7 Let the following conditions be fulfilled:
-
(i)
The conditions (i)-(iii) of Theorem 3.1, (ii) of Theorem 3.2 and (ii) of Theorem 3.6 are satisfied.
-
(ii)
The function is nondecreasing and the inequality holds.
-
(iii)
The function and satisfies the inequalities
(3.67)(3.68)
Then, for all satisfying
and
we have
where is defined by (3.64).
Proof Define a function by
Note that the function is nondecreasing. It follows that the inequality
holds. Therefore, for and , we have
For and , we have
Then, from the definition of and the above analysis, we get for that
According to Theorem 3.2, from inequalities (3.70) and (3.71), we have
which results in (3.69). This completes the proof. □
4 An application
In this section, in order to illustrate our results, we consider the following first-order dynamic equation with ‘maxima’:
and initial condition
where , , , τ is a constant such that .
Corollary 4.1 Assume that:
(H1) There exists a strictly increasing function such that is a time scale and .
(H2) There exist functions and an integer such that for , ,
Then the solution of IVP (4.1)-(4.2) satisfies the following inequality:
where
Proof It is easy to see that the solution of IVP (4.1)-(4.2) satisfies the following equation:
Using the assumption (H2), it follows from (4.5) that
Hence Corollary 4.1 yields the estimate
Inequality (4.7) gives the bound on the solution of IVP (4.1)-(4.2). □
Example 4.1 Consider the following first-order dynamic equation with ‘maxima’ on time scale (ℤ stands for the integer set):
where .
Here , , , , , .
By choosing , we can show that and . Clearly,
and
On the other hand, we have . Set , , and . Hence, Corollary 4.1 yields the estimate
Authors’ information
Sotiris K Ntouyas is a member of Nonlinear Analysis and Applied Mathematics (NAAM) Research Group at King Abdulaziz University, Jeddah, Saudi Arabia.
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Acknowledgements
The research of P Thiramanus and J Tariboon is supported by King Mongkut’s University of Technology North Bangkok, Thailand.
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Thiramanus, P., Tariboon, J. & Ntouyas, S.K. Nonlinear integral inequalities on time scales with ‘maxima’. J Inequal Appl 2014, 255 (2014). https://doi.org/10.1186/1029-242X-2014-255
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DOI: https://doi.org/10.1186/1029-242X-2014-255