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Bounded solutions of delay dynamic equations on time scales
Advances in Difference Equations volume 2012, Article number: 183 (2012)
Abstract
In this paper we discuss the asymptotic behavior of solutions of the delay dynamic equation
where , is a delay function and is a time scale. We formulate the principle which gives the guarantee that the graph of at least one solution of the above mentioned equation stays in the prescribed domain. This principle uses the idea of the retraction method and is a suitable tool for investigating the asymptotic behavior of solutions of dynamic equations. This is illustrated by an example.
1 Introduction
1.1 Time scale calculus
We assume that the reader is familiar with the notion of time scales. Thus, note just that , (resp. or similarly, we define any combination of right and left open or closed interval), , σ, ρ, μ and stand for the time scale, a finite time scale interval, an infinite time scale interval, a forward jump operator, a backward jump operator, graininess and a Δ-derivative of f. Further, the symbols , and stand for the class of continuous, rd-continuous and rd-continuous Δ-derivative functions. See [1], which is the initiating paper of the time scale theory, the thesis [2] and [3] containing a lot of information on time scale calculus.
Now, we remind further aspects of time scale calculus, which will be needed later; see, e.g., [3].
Definition 1 Let be a time scale. A function is called
-
(i)
rd-continuous, if g defined by is rd-continuous for any rd-continuous function ;
-
(ii)
bounded on a set , if there exists a constant such that
-
(iii)
Lipschitz continuous on a set , if there exists a constant such that
1.2 Delay dynamic equations on time scales
Let be an increasing rd-continuous function satisfying for all . Let the function be rd-continuous. We consider the delay dynamic equation
on time scales . (Note that in view of Definition 1.)
For a given , a function is said to be a solution of (1) on provided , and y satisfies (1) for all . If, moreover, an initial function be given and
then we say that y is a solution of the initial value problem (IVP) (1) and (2).
1.3 Existence and uniqueness of solutions of delay dynamic equations
For the next study, it is important to verify the existence and uniqueness of solutions of IVP (1) and (2). However, the following theorem (in a more general form) can be found in [[4], Theorem 2.1].
Theorem 1 (Picard-Lindelöf theorem)
Let , , . Let
where the properties of φ are described in previous Section 1.2. Assume that is bounded on , with bound , and Lipschitz continuous on . Then the initial value problem (1) and (2) has a unique solution y on the interval , where
and
Carefully tracing the proof of Theorem 1 in [4], it easy to verify that if Theorem 1 holds, then the solution of the IVP (1) and (2) depends continuously on the initial data.
2 Problem under consideration
Let be rd-continuous functions such that for all and
We define a set as
Then the closure equals
and the boundary , where
and
Consider the delay dynamic equation (1) and the initial value problem (2). Let
and
Let , . Throughout, we will assume that a function f is bounded and Lipschitz continuous on a domain and
This condition says that by Theorem 1 every initial value problem (1) and (2) with φ satisfying (3) has exactly one solution on the interval , . It is also easy to show that this solution depends continuously on the initial function φ.
Our aim is to establish sufficient conditions for the right-hand side of equation (1) in order to guarantee the existence of at least one solution of (1) defined on such that for each . The main result generalizes some previous results of the first author (and his co-authors) concerning the asymptotic behavior of solutions of discrete equations; see, e.g., [5–16]. In papers [5, 7], in our best knowledge, the retract principle is extended to discrete equations (see [9–11] as well). In [6, 8, 14, 16] delayed discrete equations are considered by the retract technique, and in [12] the retract principle is given for discrete time scales. Papers [13, 15] are devoted to the extension of the retract principle to dynamic equations. In the present paper, we give an attempt to enlarge the retract principle to delayed dynamic equations.
For further consideration, it is convenient to establish the following concept.
Definition 2 A point , , is called the point of strict egress for the set Ω with respect to equation (1) if
where is an arbitrary rd-continuous function such that for every and .
A point , , is called the point of strict egress for the set Ω with respect to equation (1) if
where is an arbitrary rd-continuous function such that for every and .
Remark 1 The geometrical meaning of the point of strict egress is evident. If a point is a point of strict egress for the set Ω with respect to (1), and is a (unique) solution of (1) satisfying , then due to (4),
From the definition of a Δ-derivative, we get (or ) for with a small positive δ if is a right-dense point and for if is right-scattered.
By analogy, if is a point of strict egress for the set Ω with respect to (1), and is a (unique) solution of (1) satisfying , then due to (5),
From the definition of a Δ-derivative, we get (or ) for with a small positive δ if is a right-dense point and for if is right-scattered.
Definition 3 ([17])
If are subsets of a topological space and is a continuous mapping from B onto A such that for every , then π is said to be a retraction of B onto A. When a retraction of B onto A exists, A is called a retract of B.
3 Existence theorem
The proof of the following theorem is based on the retract method, which is well known for ordinary differential equations and goes back to Ważewski [18]. Below we will assume that the function f, except for the indicated conditions, satisfies all the assumptions given in Section 2.
Theorem 2 Let . Let be delta differentiable functions such that for each . If, moreover, every point is the point of strict egress for the set Ω with respect to equation (1), then there exists an rd-continuous initial function satisfying
such that the initial problem
defines a solution y of (1) on the interval satisfying
Proof The idea of the proof is simple. We suppose that the statement of the theorem is not valid. Then it is possible to prove that there exists a retraction of a segment with onto a two-point set . But it is well known that the boundary of a nonempty (closed) interval cannot be its retract (see [19]). So, in our case, such a retractive mapping cannot exist because it is incompatible with continuity.
Without any special comment, throughout the proof, we use the property that the initial value problem in question has a unique solution and the property of continuous dependence of solutions on their initial data.
Suppose now that satisfying the inequality
and generating the solution which satisfies (7) for any does not exist. This means that for any rd-continuous initial function satisfying the inequality
there exists a , such that for a corresponding solution of the initial problem
we have
and,
Let us define auxiliary mappings , and .
First, define the mapping , where
such that
-
(i)
for , , , we define
-
(ii)
for satisfying , and , we put and define
-
(iii)
for , , and , we put and define
Second, we define the mapping , where
as
Third, we define the mapping , where
as
We will show that the composite mapping
where
is continuous with respect to the second coordinate of the point . The definition of the mapping P implies that only two resulting points are possible, namely either or .
-
(I)
We consider the first possibility, i.e., . Let for all . Then
Let . Then and the continuity of the mapping is obvious. Indeed, if
is the initial problem defining the solution , ε is a sufficiently small number and
then due to the property of continuous dependence of solutions on their initial data, and
Consequently, .
Let . By the assumption of the theorem, every boundary point of ∂ Ω is the point of strict egress for the set Ω with respect to equation (1). Then for the solution defined by (9), we have
either with or with , . (We do not describe all the possibilities for the occurrence of the first or of the second alternative.) In both alternatives we get again. Hence, the mapping P is continuous in the considered case.
-
(II)
We proceed analogously with the case .
The continuity of the mapping P was proved for initial functions satisfying for all and . The desired retraction can be defined as a mapping of the second coordinates realized by P. Then the mapping
is continuous and
i.e., the points , are stationary.
In this situation we proved that there exists a retraction of the set onto the two-point set (see Definition 3). In regard to the above mentioned fact, this is impossible. Our supposition is false, and there exists the initial problem (6) such that the corresponding solution satisfies the inequalities (7) for every . The theorem is proved. □
4 Example
Let us consider the delay dynamic equation of the type (1)
defined for each with , and (which means that there exists such that for each ). Note that we have no further requirements for the function τ (except for those mentioned in Section 1.2). Moreover, let , be sufficiently large. With the aid of Theorem 1, we will show that there exists an initial function
which defines a solution for all of the dynamic equation (10) satisfying
We define Δ-differentiable functions satisfying for each as
We will verify that every point , where
is a point of strict egress for the set
with respect to the dynamic equation (10).
For an arbitrary function , such that , and , we need (see (4))
and analogously, for an arbitrary function , such that , and , we need (see (5))
Inequalities (13) and (14) will be valid if
Indeed, (we underline that for sufficiently large the last inequality holds) we have
Hence, in view of Definition 2, every point is a point of strict egress for the set Ω. Therefore, all the assumptions of Theorem 1 hold and there exists an initial value function with the property (11) such that the initial problem defines a solution y on the interval of (10) satisfying the inequality (12) for every . Note that this solution (due to (12)) tends to zero as .
Remark 2 In our example of equation (1) with bounded and vanishing solution, the graininess plays an important role. Roughly speaking, ‘the bigger’ the graininess will be, ‘the harder’ it will be to construct an example of equation (1) with a bounded solution. This follows from the formulas (4) and (5), where the function f is between Δ-derivatives of two functions, and these derivatives decrease to zero if goes to infinity. However, in the cases (as is, e.g., the example above) the graininess satisfying is ‘sufficiently big’ and covers every well-known case of time scales (e.g., , , , , and , ).
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Acknowledgements
The research was supported by the Grant P201/10/1032 of the Czech Grant Agency (Prague), by ‘Operational Programme Research and Development for Innovations’, No. CZ.1.05/2.1.00/03.0097, as an activity of the regional Centre AdMaS, and by the Grant FEKT-S-11-2-921 of Faculty of Electrical Engineering and Communication, Brno University of Technology.
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Diblík, J., Vítovec, J. Bounded solutions of delay dynamic equations on time scales. Adv Differ Equ 2012, 183 (2012). https://doi.org/10.1186/1687-1847-2012-183
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DOI: https://doi.org/10.1186/1687-1847-2012-183
Keywords
- Initial Function
- Initial Problem
- Initial Value Problem
- Discrete Equation
- Jump Operator