Almost automorphic functions on the quantum time scale and applications
Yongkun Li

TL;DR
This paper introduces and studies almost automorphic functions on the quantum time scale, establishing their properties, transformations, and applications to dynamic equations, thus extending the theory to quantum calculus.
Contribution
It defines two types of almost automorphic functions on the quantum time scale and explores their properties and applications to dynamic equations.
Findings
Established properties of almost automorphic functions on the quantum time scale
Provided a transformation linking quantum time scale functions to generalized integer functions
Proved existence of almost automorphic solutions for certain dynamic equations
Abstract
In this paper, we first propose two types of concepts of almost automorphic functions on the quantum time scale. Secondly, we study some basic properties of almost automorphic functions on the quantum time scale. Then, we introduce a transformation between functions defined on the quantum time scale and functions defined on the set of generalized integer numbers, by using this transformation we give equivalent definitions of almost automorphic functions on the quantum time scale. Finally, as an application of our results, we establish the existence of almost automorphic solutions of linear and semilinear dynamic equations on the quantum time scale.
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Almost automorphic functions on the quantum time scale and applications††thanks: This work is supported by
the National Natural Sciences Foundation of People’s Republic of China under Grant 11361072.
Yongkun Li
Department of Mathematics, Yunnan University
Kunming, Yunnan 650091
People’s Republic of China
Abstract
In this paper, we first propose two types of concepts of almost automorphic functions on the quantum time scale. Secondly, we study some basic properties of almost automorphic functions on the quantum time scale. Then, we introduce a transformation between functions defined on the quantum time scale and functions defined on the set of generalized integer numbers, by using this transformation we give equivalent definitions of almost automorphic functions on the quantum time scale. Finally, as an application of our results, we establish the existence of almost automorphic solutions of linear and semilinear dynamic equations on the quantum time scale.
Key words: Almost automorphic function; Automorphic solution; Quantum time scale.
1 Introduction
Since the theory of quantum calculus has important applications in quantum theory (see Kac and Cheung [1]), it has received much attention. For example, since Bohner and Chieochan [2] introduced the concept of periodicity for functions defined on the quantum time scale, quite a few authors have devoted themselves to the study of periodicity for dynamic equations on the quantum time scale ([3, 4, 5, 6]).
However, in reality, almost periodic phenomenon is more common and complicate than periodic one. In addition, the almost automorphy is a generalization of almost periodicity and plays an important role in understanding the almost periodicity. Therefore, to study the almost automorphy of dynamic equations on the quantum time scale is more interesting and more challenge.
Our main purpose of this paper is to propose two types of definitions of almost automorphic functions on the quantum time scale, study some of their basic properties and establish the existence of almost automorphic solutions of non-autonomous linear dynamic equations on the quantum time scale.
The organization of this paper is as follows: In Section 2, we introduce some notations and definitions of time scale calculus. In Section 3, we propose the concepts of almost automorphic functions on the quantum time scale and investigate some of their basic properties. In Section 4, we introduce a transformation and give an equivalent definition of almost automorphic functions on the quantum time scale. In Section 5, as an application of the results, we study the existence of almost automorphic solutions for semilinear dynamic equations on the quantum time scale. We draw a conclusion in Section 6.
2 Preliminaries
In this section, we shall recall some basic definitions of time scale calculus.
A time scale is an arbitrary nonempty closed subset of the real numbers, the forward and backward jump operators , and the forward graininess are defined, respectively, by
[TABLE]
A point is said to be left-dense if and , right-dense if and , left-scattered if and right-scattered if . If has a left-scattered maximum , then , otherwise . If has a right-scattered minimum , then , otherwise .
Let be a real or complex Banach space. A function is right-dense continuous or rd-continuous provided it is continuous at right-dense points in and its left-sided limits exist (finite) at left-dense points in . If is continuous at each right-dense point and each left-dense point, then is said to be a continuous function on .
For and , then is called delta differentiable at if there exists such that for given any , there is an open neighborhood of satisfying
[TABLE]
for all . In this case, is called the delta derivative of at , and is denoted by . For , we have , the usual derivative, for we have the backward difference operator, and for , the quantum time scale, we have the -derivative
[TABLE]
Remark 2.1**.**
Note that
[TABLE]
if is continuously differentiable.
A function is called regressive provided for all . An -matrix-valued function on a time scale is called regressive provided is invertible for all .
Definition 2.1**.**
[7]** A time scale is called an almost periodic time scale if
[TABLE]
For more details about the theory of time scale calculus and the theory of quantum calculus, the reader may want to consult [1, 8, 9, 10].
3 Almost automorphic functions on the quantum time scale
In this section, we propose two types of concepts of almost automorphic functions on the quantum time scale and study some of their basic properties. Our first type of concepts of almost automorphic functions on the quantum time scale is as follows:
Definition 3.1**.**
Let be a real or complex Banach space and a strongly continuous function. We say that is almost automorphic if for every sequence of integer numbers , there exists a subsequence such that:
[TABLE]
is well defined for each and
[TABLE]
for each .
Remark 3.1**.**
Since has only one right dense point [math] and all of the other points of it are isolated points. So, a strongly continuous function if and only if .
Theorem 3.1**.**
If and are almost automorphic functions , then the following are true:
* is almost automorphic.*
* is almost automorphic for every scalar c.*
* is almost automorphic for each fixed *
, that is, is a bounded function.
The range of is relatively compact in
Proof.
The proofs of , , and are obvious.
The proof of . If is no true, then . Hence, there exists a sequence such that
[TABLE]
Since is almost automorphic, one can extract a subsequence such that
[TABLE]
exists, that is, , which is a contradiction. The proof of is completed.
The proof of . For any sequence in , where , because is almost automorphcic, so one can extract a subsequence of such that
[TABLE]
Thus, is relatively compact in . The proof is complete.
Remark 3.2**.**
It is easy to see that
[TABLE]
and , where is the function that appears in Definition 3.1.
Theorem 3.2**.**
If is almost automorphic, define a function by , if exists. Then is almost automorphic.
Proof.
For any given sequence , there exists a subsequence of such that
[TABLE]
is well defined for each and
[TABLE]
for each .
Define a function and set , we get
[TABLE]
and
[TABLE]
pointwise on . Since exists, is well defined and continuous. Thus, is almost automorphic. The proof is complete.
Theorem 3.3**.**
Let and be two Banach spaces and an almost automorphic function. If is a continuous function, then the composite function is almost automorphic.
Proof.
Since is almost automorphic, for any sequence , we can extract a subsequence of such that
[TABLE]
is well defined for each and
[TABLE]
for each .
Since is continuous, we have
[TABLE]
is well defined for each and
[TABLE]
for each .
That is, the composite function is almost automorphic. The proof is complete.
Corollary 3.1**.**
If is a bounded linear operator in and an almost aytomorphic function, then is also almost automophic.
Proof.
Obvious.
Theorem 3.4**.**
Let be almost automorphic. If for all for some integer number , then for all .
Proof.
It suffices to prove that for . Since is almost automorphic, for the sequence of natural numbers , one can extract a subsequence such that
[TABLE]
and
[TABLE]
It is clear that for any , we can find with for all . Thus, for all . By (3.1), for . Hence, according to (3.2), we obtain for . Since is continuous at , Therefore, for . The proof is complete.
Theorem 3.5**.**
Let be a sequence of almost automorphic functions such that uniformly in . Then is almost automorphic.
Proof.
For any given sequence , by the diagonal procedure one can extract a subsequence of such that
[TABLE]
for each and each .
We claim that the sequence of function is a Cauchy sequence. In fact, for any we have
[TABLE]
hence,
[TABLE]
For each , from the uniform convergence of , there exists a positive integer such that for all ,
[TABLE]
for all , and all .
It follows from (3.3) and the completeness of the space that the sequence converges pointwisely on to a function, say to function .
Now, we will prove
[TABLE]
and
[TABLE]
pointwise on .
Indeed for each , we have
[TABLE]
For any , we can find some positive integer such that
[TABLE]
for every , and for every . Hence, by (3.4), we get
[TABLE]
for every .
In view of (3.3), for every , there is some positive integer such that
[TABLE]
for every . From this and (3.5), we obtain
[TABLE]
for .
Similarly, we can prove that
[TABLE]
The proof is complete.
Remark 3.3**.**
If we denote by , the set of all almost automorphic functions , then by Theorem 3.1, we see that is a vector space, and according to Theorem 3.5, this vector space equipped with the norm
[TABLE]
is a Banach space.
Definition 3.2**.**
A continuous function is said to be almost automorphic in for each , if for each sequence of integer numbers , there exists a subsequence such that
[TABLE]
exists for each and each , and
[TABLE]
exists for each and each .
Theorem 3.6**.**
If are almost automorphic functions in for each , then the following functions are also almost automorphic in for each :
,
, is an arbitrary scalar.
Proof.
The proof is obvious. We omit it here. The proof is complete.
Theorem 3.7**.**
If are almost automorphic in for each , then
[TABLE]
for each .
Proof.
Suppose not. Assume, to the contrary, that
[TABLE]
for some . Thus, there exists a sequence of integer numbers such that
[TABLE]
Since is almost automorphic in , one can extract a subsequence from such that
[TABLE]
which is a contradiction. The proof is complete.
Theorem 3.8**.**
If is almost automorphic in for each , then the function in Definition 3.2 satisfies
[TABLE]
for each .
Proof.
The proof is obvious. We omit it here. The proof is complete.
Theorem 3.9**.**
If is almost automorphic in for each and if is Lipschitzian in uniformly in , that is, there exists a positive constant such that for each pair ,
[TABLE]
uniformly in , then satisfies the same Lipschitz condition in uniformly in .
Proof.
Because for each sequence of integer numbers , there exists a subsequence such that
[TABLE]
exists for each and each , so for any and any given , we have
[TABLE]
and
[TABLE]
for sufficiently large.
Hence, for sufficiently large we find
[TABLE]
Letting , we get
[TABLE]
for each . The proof is complete.
Theorem 3.10**.**
Let be almost automorphic in for each and assume that satisfies a Lipschitz in uniformly in . Let be almost automorphyic. Then the function defined by is almost automorphic.
Proof.
It is easy to see that for any given sequence , there exists a subsequence such that
[TABLE]
for each and ,
[TABLE]
for each ,
[TABLE]
for each and , and
[TABLE]
for each .
Consider the function defined by , . We will show that , for each and , for each .
In fact, noting that
[TABLE]
[TABLE]
Similarly we can prove that for each . This completes the proof.
Before ending this section, we give the second type of concepts of almost automorphic functions on the quantum time scale as follows:
Definition 3.3**.**
Let be a real or complex Banach space and a strongly continuous function. We say that is almost automorphic if for every sequence of integer numbers , there exists a subsequence such that:
[TABLE]
is well defined for each and
[TABLE]
for each .
Definition 3.4**.**
A continuous function is said to be almost automorphic in for each , if for each sequence of integer numbers , there exists a subsequence such that
[TABLE]
exists for each and each , and
[TABLE]
exists for each and each .
Remark 3.4**.**
It is easy to check that all the results of this section hold for almost automorphic functions defined by Definitions 3.1 and 3.2 are also valid for almost automorphic functions defined by Definitions 3.3 and 3.4.
4 An equivalent definition of almost automorphic functions on the quantum time scale
In this section, we will give an equivalent definition of almost automorphic functions on the quantum time scale . To this end, we introduce a notation and stipulate and for all . Let , we define a function by
[TABLE]
that is,
[TABLE]
Since is right continuous at , it is clear that the above definition is well defined.
Moreover, for , we define a function by
[TABLE]
that is,
[TABLE]
Since is continuous at , it is clear that the above definition is well defined.
Definition 4.1**.**
A function is called almost automorphic if for every sequence there exists a subsequence such that
[TABLE]
is well defined for each , and
[TABLE]
for each .
Definition 4.2**.**
A function is called almost automorphic if for every sequence there exists a subsequence such that
[TABLE]
is well defined for each , and
[TABLE]
for each and .
Remark 4.1**.**
We can view as a kind of generalized integer number set. Obviously, the automorphic functions defined by Definitions 4.1 and 4.2(which are defined on or ) share the same properties as the ordinary automorphic functions defined on or .
Definition 4.3**.**
A function is called almost automorphic if and only if the function defined by (4.3) is almost automorphic.
Definition 4.4**.**
A function is called almost automorphic in for each if and only if the function defined by (4.7) is almost automorphic in for each .
Obviously, Definitions 4.3 and 4.4 are equivalent to Definitions 3.1 and 3.2, respectively. Moreover, by Remark 4.1, all of the properties of almost automorphic functions on the quantum time scale can be directly obtained from the corresponding properties of the ordinary almost automorphic functions defined on or .
5 Automorphic solutions for semilinear dynamic equations on the quantum time scale
In this section, we will study the existence of automorphic solutions of semilinear dynamic equations on the quantum time scale. Throughout this section, we use the letter to stand for either or .
Consider the semilinear dynamic equation on the quantum time scale:
[TABLE]
where is a scalar delay function and satisfies for all , is a regressive, rd-continuous matrix valued function, . Under the transformation (4.7), equation (5.1) is transformed to
[TABLE]
and vice visa, where
Clearly, if is a solution of (5.1) if and only if is a solution of (5.2).
Definition 5.1**.**
[11]** Let be an rd-continuous matrix value function on , the linear system
[TABLE]
is said to admit an exponential dichotomy on if there exist positive constants and , an invertible projection commuting with , where is principal fundamental matrix solution of (5.3) satisfying
[TABLE]
Theorem 5.1**.**
[11]** Let be an almost periodic time scale. Suppose that the linear homogeneous system (5.3) admits an exponential dichotomy with the positive constants and and invertible projection commuting with , where is principal fundamental matrix solution of (5.3), then the nonhomogeneous system
[TABLE]
has a solution of the form
[TABLE]
Moreover, we have
[TABLE]
Consider the following semilinear dynamic equation on almost periodic time scale :
[TABLE]
where is a scalar delay function and satisfies for all , is a regressive, rd-continuous matrix valued function, . The corresponding linear homogeneous system of (5.6) is
[TABLE]
We make the following assumptions:
Functions and are almost automorphic in .
There exists a constant such that
[TABLE]
for all and for any vector valued functions and defined on .
The linear homogeneous system (5.7) admits an exponential dichotomy with the positive constants and and invertible projection commuting with , where is principal fundamental matrix solution of (5.7).
Now, define the mapping by
[TABLE]
The following result can be proven similar to Lemma 6 in [11], hence we omit it.
Lemma 5.1**.**
Suppose - hold. Then the mapping maps into .
Theorem 5.2**.**
Suppose - hold. Assume further that
\big{(}\frac{K_{1}+\alpha_{1}}{\alpha_{1}}+\frac{K_{2}}{\alpha_{2}}\big{)}(L_{1}+L_{2})<1.
Then (5.6) has a unique almost automorphic solution.
Proof.
For any , we have
[TABLE]
Hence, is a contraction. Therefore, has a unique fixed point in , so, (5.6) has a unique almost automorphic solution.
In Theorem 5.2, if we take , then we have
Theorem 5.3**.**
Suppose - hold. Then (5.2) has a unique almost automorphic solution, and so (5.1) has a unique almost automorphic solution.
Consider a linear quantum difference equation
[TABLE]
where is an matrix valued function and is an -dimensional vector valued function. Under the transformation (4.3), (5.8) transforms to
[TABLE]
and vice versa.
Consider the following non-autonomous linear difference equation
[TABLE]
where are given non-singular matrices with elements is a given vector function and is an unknown vector with components . Its associated homogeneous equation is given by
[TABLE]
Similar to Definition 2.11 in [12], we give the following definition:
Definition 5.2**.**
Let be the principal fundamental matrix of the difference system (5.11). The system (5.11) is said to possess an exponential dichotomy if there exists a projection , which commutes with , and positive constants such that for all , we have
[TABLE]
Similar to the proof of Theorem 3.1 in [12], one can easily show that
Theorem 5.4**.**
Suppose is discrete almost automorphic and a non-singular matrix and the set is bounded. Also, suppose the function is a discrete almost automorphic function and Eq. (5.11) admits an exponential dichotomy with positive constants and . Then, the system (5.10) has an almost automorphic solution on .
Corollary 5.1**.**
Suppose is discrete almost automorphic and a non-singular matrix and the set is bounded. Also, suppose the function is a discrete almost automorphic function and equation
[TABLE]
admits an exponential dichotomy with positive constants and . Then, the system (5.8) has an almost automorphic solution on .
6 Conclusion
In this paper, we proposed two types of concepts of almost automorphic functions on the quantum time scale and studied some of their basic properties. Moreover, based on the transformation between functions defined on the quantum time scale and functions defined on the set of generalized integer numbers, we gave equivalent definitions of almost automorphic functions on the quantum time scale. As an application of our results, we established the existence of almost automorphic solutions for semilinear dynamic equations on the quantum time scale. By using the methods and results of this paper, for example, one can study the almost automorphy of neural networks on the quantum time scale and population dynamical models on the quantum time scale and so on. Furthermore, by using the transformation and the set of generalized integer numbers introduced in Section 3 of this paper, one can propose concepts of almost periodic functions, pseudo almost periodic functions, weighted pseudo almost automorphic functions, almost periodic set-valued functions, almost periodic functions in the sense of Stepanov on the quantum time scale and so on.
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