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Changingperiodic time scales and decomposition theorems of time scales with applications to functions with local almost periodicity and automorphy
Advances in Difference Equations volume 2015, Article number: 296 (2015)
Abstract
In this work, we address the periodic coverage phenomenon on arbitrary unbounded time scales and initiate a new idea, namely, we introduce the concept of changingperiodic time scales. We discuss some properties of this new concept and illustrate several examples. Specially, we establish a basic decomposition theorem of time scales which provides bridges between periodic time scales and an arbitrary time scale with a bounded graininess function μ. Based on this result, we introduce localalmost periodic and localalmost automorphic functions on changingperiodic time scales and study some related properties. The concept of changingperiodic time scales introduced in this paper will help in understanding and removing the serious deficiency which arises in the study of classical functions on time scales.
Introduction
With the development and deepening of the real analysis on time scales, many works related to time scales have appeared recently (see [1–11]). This has resulted in the study of dynamic equations on time scales becoming a leading topic of research. Specially, to study periodic solutions of dynamic equations on time scales, Kaufmann and Raffoul in 2006 (see [12]) introduced the concepts of periodic time scales and periodic functions. This was followed (see [13, 14]) by the definitions of almost periodic time scales and almost periodic functions to investigate almost periodic solutions of dynamic equations on time scales. We recall that a time scale is an irregular closed subset of \(\mathbb{R}\), and thus it creates several difficulties of keeping the closedness of variables of functions under translation; for example, for a given function \(f:\mathbb{T}\rightarrow\mathbb{R}\), we cannot guarantee that there exists τ such that \(f(t+\tau)\) makes sense because we do not know whether \(t+\tau\in\mathbb{T}\). This is one of the main reasons mathematicians have introduced some suitable time scales such as periodic time scales and almost periodic time scales, and so on, before even they give the proper concepts of functions defined on time scales.
It is clear that periodic time scales are regular, so we can obtain some of their nice properties (such as the above closedness property), and introduce and study welldefined functions on them. However, most of time scales are not periodic; thus, it is necessary and meaningful to find an effective way to build bridges between periodic time scales and an arbitrary time scale. This will easily allow us to extract results known for periodic time scales to other types of time scales, and vice versa. Having this in mind, in this paper, we shall introduce a new concept, which we call ‘changingperiodic time scales’. This concept deals not only with almost periodic time scales, but also with all the time scales with the bounded graininess function μ. In conclusion, we shall show that all the time scales with a bounded graininess function μ can be decomposed into a countable union of periodic time scales, i.e., we shall formulate a basic decomposition theorem of time scales. This result paves a way to study functions on an arbitrary time scale with bounded μ as conveniently as on periodic time scales. Next, based on changingperiodic time scales, we shall introduce ‘localalmost periodic’ and ‘localalmost automorphic’ functions and study some of their related properties. Finally, we shall apply these results to address localalmost periodicity and localalmost automorphy of solutions of dynamic equations on arbitrary time scales with bounded graininess function μ.
The present paper is organized as follows. In Section 2, we begin with necessary known definitions and results on time scales, and then we introduce some new concepts, which include changingperiodic time scales. Based on these concepts, we shall establish several new results. Our main result here is the decomposition theorem of time scales. In Section 3, as applications of changingperiodic time scales, first we shall introduce two new concepts  localalmost periodic and localalmost automorphic functions, and then we show that these concepts can be used as a powerful tool to investigate the localalmost periodicity and localalmost automorphy of solutions of dynamic equations on time scales.
Changingperiodic time scales
In the following, we introduce some basic knowledge of time scales and famous Zorn’s lemma which will be used in our paper. For more details, see [3–5, 15].
A time scale \(\mathbb{T}\) is a closed subset of \(\mathbb{R}\). It follows that the jump operators \(\sigma,\varrho:\mathbb{T} \rightarrow\mathbb{T}\) defined by \(\sigma(t)=\inf\{s\in\mathbb{T}:s>t\}\) and \(\varrho(t)=\sup\{s\in\mathbb{T}:s< t\}\) (supplemented by \(\inf{\phi}:=\sup\mathbb{T}\) and \(\sup{\phi}:=\inf\mathbb{T}\)) are well defined. The point \(t \in\mathbb{T}\) is leftdense, leftscattered, rightdense, rightscattered if \(\varrho(t)=t\), \(\varrho(t)< t\), \(\sigma(t)=t\), \(\sigma(t)>t\), respectively. If \(\mathbb{T}\) has a left scatter maximum M, define \(\mathbb{T}^{k}:=\mathbb{T} \backslash M\); otherwise, set \(\mathbb{T}^{k}=\mathbb{T}\). If \(\mathbb{T}\) has a right scatter minimum m, define \(\mathbb{T}_{k}:=\mathbb{T}\backslash m\); otherwise, set \(\mathbb{T}_{k}=\mathbb{T}\). The notations \([a,b]_{\mathbb{T}}\), \(\left .[a,b) \right ._{\mathbb{T}}\) and so on will denote time scale intervals
where \(a,b \in\mathbb{T}\) with \(a<\varrho(b)\).
The graininess function is defined by \(\nu:\mathbb{T}\rightarrow [0,\infty)\): \(\nu(t):=t\varrho(t)\) for all \(t\in\mathbb{T}\).
The function \(f:\mathbb{T} \rightarrow\mathbb{R}\) is called ldcontinuous provided it is continuous at each leftdense point and has a rightsided limit at each point, we write \(f \in C_{\mathrm{ld}}(\mathbb{T})=C_{\mathrm{ld}}(\mathbb{T},\mathbb{R})\). Let \(t \in \mathbb{T}_{k}\), the nabladerivative of f at t denoted as \(f^{\nabla}(t)\) satisfies the inequality
for any \(\varepsilon>0\) and all \(s \in U\); here U is a neighborhood of t. Let F be a function, it is called antiderivative of \(f:\mathbb{T} \rightarrow\mathbb{R}\) provided
Definition 2.1
A function \(p: \mathbb{T}\rightarrow\mathbb{R}\) is called νregressive provided \(1\nu(t)p(t)\neq0\) for all \(t\in \mathbb{T}_{k}\). The set of all regressive and ldcontinuous functions \(p:\mathbb{T} \rightarrow\mathbb{R}\) will be denoted by \(\mathcal{R}_{\nu}=\mathcal{R}_{\nu}(\mathbb{T})=\mathcal{R}_{\nu }(\mathbb{T}, \mathbb{R})\). We also define the set \(\mathcal{R}^{+}_{\nu}=\mathcal{R}^{+}_{\nu}(\mathbb{T}, \mathbb{R})=\{p\in \mathcal{R}_{\nu}:1\nu(t)p(t)>0, \forall t\in\mathbb{T}\}\).
The graininess function is defined by \(\mu:\mathbb{T}\rightarrow [0,\infty)\): \(\mu(t):=\sigma(t)t\) for all \(t\in\mathbb{T}\).
The function \(f:\mathbb{T} \rightarrow\mathbb{R}\) is called rdcontinuous provided it is continuous at each rightdense point and has a leftsided limit at each point, we write \(f \in C_{\mathrm{rd}}(\mathbb{T})=C_{\mathrm{rd}}(\mathbb{T},\mathbb{R})\). Let \(t \in \mathbb{T}^{k}\), the deltaderivative of f at t denoted as \(f^{\Delta}(t)\) satisfies the inequality
for any \(\varepsilon>0\) and all \(s \in U\); here U is a neighborhood of t. Let F be a function, it is called antiderivative of \(f:\mathbb{T} \rightarrow\mathbb{R}\) provided
Definition 2.2
A function \(p: \mathbb{T}\rightarrow\mathbb{R}\) is called regressive provided \(1+\mu(t)p(t)\neq0\) for all \(t\in \mathbb{T}^{k}\). The set of all regressive and rdcontinuous functions \(p:\mathbb{T} \rightarrow\mathbb{R}\) will be denoted by \(\mathcal{R}=\mathcal{R}(\mathbb{T})=\mathcal{R}(\mathbb{T}, \mathbb{R})\). We also define the set \(\mathcal{R}^{+}=\mathcal{R}^{+}(\mathbb{T}, \mathbb{R})=\{p\in \mathcal{R}:1+\mu(t)p(t)>0, \forall t\in\mathbb{T}\}\).
Lemma 2.1
([15], Zorn’s lemma)
Suppose that \((P,\preceq)\) is a partially ordered set. A subset T is totally ordered if for any s, t in T we have \(s\preceq t\) or \(t\preceq s\). Such a set T has an upper bound u in P if \(t\preceq u\) for all t in T. Suppose that a nonempty partially ordered set P has the property that every nonempty chain has an upper bound in P. Then the set P contains at least one maximal element.
In order to introduce the concept of changingperiodic time scales precisely and concisely, we need the following definitions.
Definition 2.3
We say a time scale is an infinite time scale if one of the following conditions is satisfied: \(\sup\mathbb{T}=+\infty\) and \(\inf\mathbb{T}=\infty\) or \(\sup\mathbb{T}=+\infty\) or \(\inf\mathbb{T}=\infty\).
Definition 2.4
Let \(\mathbb{T}\) be a time scale, we say \(\mathbb{T}\) is a zeroperiodic time scale if and only if there exists no nonzero real number ω such that \(t+\omega\in\mathbb{T}\) for all \(t\in\mathbb{T}\).
Remark 2.2
By Definition 2.4, it follows that a finite union of the closed intervals can be regarded as a zeroperiodic time scale. The single point set \(\{a\}\) can also be regarded as a closed interval since \(\{a\}=[a,a]\) in this paper. For convenience, \(\mathbb{T}_{0}\) denotes the zeroperiodic time scale.
Definition 2.5
A timescale sequence \(\{\mathbb{T}_{i}\}_{i\in\mathbb{Z}^{+}}\) is called wellconnected if and only if for \(i\neq j\), we have \(\mathbb{T}_{i}\cap\mathbb{T}_{j}=\{t_{ij}^{k}\}_{k\in\mathbb{Z}}\), where \(\{t_{ij}^{k}\}\) is a countable points set or an empty set, and \(t_{ij}^{k}\) is called the connected point between \(\mathbb{T}_{i}\) and \(\mathbb{T}_{j}\) for each \(k\in\mathbb{Z}\), the set \(\{t_{ij}^{k}\}\) is called the connected points set of this wellconnected sequence.
Remark 2.3
Clearly the connected points set of a wellconnected sequence can be an empty set. Hence, it follows that if \(\bigcap_{i=1}^{\infty}\mathbb{T}_{i}=\emptyset\), then \(\{\mathbb{T}_{i}\}_{i\in\mathbb{Z}^{+}}\) is well connected.
We now introduce a new concept of time scales called ‘changingperiodic time scales’.
Definition 2.6
Let \(\mathbb{T}\) be an infinite time scale. We say \(\mathbb{T}\) is a changingperiodic or a piecewiseperiodic time scale if the following conditions are fulfilled:

(a)
\(\mathbb{T}= (\bigcup_{i=1}^{\infty}\mathbb{T}_{i} )\cup\mathbb{T}_{r}\) and \(\{\mathbb{T}_{i}\}_{i\in\mathbb{Z}^{+}}\) is a wellconnected timescale sequence, where \(\mathbb{T}_{r}=\bigcup_{i=1}^{k}[\alpha_{i},\beta_{i}]\) and k is some finite number, and \([\alpha_{i},\beta_{i}]\) are closed intervals for \(i=1,2,\ldots,k\) or \(\mathbb{T}_{r}=\emptyset\);

(b)
\(S_{i}\) is a nonempty subset of \(\mathbb{R}\) with \(0\notin S_{i}\) for each \(i\in\mathbb{Z}^{+}\) and \(\Pi= (\bigcup_{i=1}^{\infty}S_{i} )\cup R_{0}\), where \(R_{0}=\{0\}\) or \(R_{0}=\emptyset\);

(c)
for all \(t\in\mathbb{T}_{i}\) and all \(\omega\in S_{i}\), we have \(t+\omega\in\mathbb{T}_{i}\), i.e., \(\mathbb{T}_{i}\) is an ωperiodic time scale;

(d)
for \(i\neq j\), for all \(t\in\mathbb{T}_{i}\backslash\{ t_{ij}^{k}\}\) and all \(\omega\in S_{j}\), we have \(t+\omega\notin\mathbb{T}\), where \(\{t_{ij}^{k}\}\) is the connected points set of the timescale sequence \(\{\mathbb{T}_{i}\}_{i\in\mathbb{Z}^{+}}\);

(e)
\(R_{0}=\{0\}\) if and only if \(\mathbb{T}_{r}\) is a zeroperiodic time scale and \(R_{0}=\emptyset\) if and only if \(\mathbb{T}_{r}=\emptyset\);
and the set Π is called a changingperiods set of \(\mathbb{T}\), \(\mathbb{T}_{i}\) is called the periodic subtimescale of \(\mathbb{T}\) and \(S_{i}\) is called the periods subset of \(\mathbb{T}\) or the periods set of \(\mathbb{T}_{i}\), \(\mathbb{T}_{r}\) is called the remain timescale of \(\mathbb{T}\) and \(R_{0}\) the remain periods set of \(\mathbb{T}\).
Remark 2.4
From Definition 2.6, it follows that if \(\mathbb{T}\) is a changingperiodic time scale, then the remain timescale \(\mathbb{T}_{r}\) is a finite union of the closed intervals or \(\mathbb{T}_{r}=\emptyset\), i.e., \(R_{0}=\{0\}\) or \(R_{0}=\emptyset\).
Remark 2.5
From condition (c) in Definition 2.6, for all connected points \(t_{ij}^{k}\), \(i\neq j\), we have \(t_{ij}^{k}\in\mathbb{T}_{i}\) and \(t_{ij}^{k}\in\mathbb{T}_{j}\), for all \(\omega\in S_{i}\) and \(\omega\in S_{j}\), we have \(t_{ij}^{k}+\omega\in\mathbb{T}_{i}\subset\mathbb{T}\) and \(t_{ij}^{k}+\omega\in\mathbb{T}_{j}\subset\mathbb{T}\).
Now we introduce the following related concept.
Definition 2.7
A changingperiodic time scale is called complete if and only if its remain timescale is an empty set, i.e, \(\mathbb{T}_{r}=\emptyset\); similarly, \(\mathbb{T}_{r}\neq\emptyset\) if and only if \(\mathbb{T}\) is noncomplete.
We now prove the following proposition.
Proposition 2.1
All periodic time scales are particular changingperiodic time scales and complete.
Proof
Let \(\mathbb{T}=\mathbb{T}_{j}\), \(S=S_{j}\), \(j\in\mathbb{Z}^{+}\). Since \(\mathbb{T}=\mathbb{T}\cup\emptyset\), by Definition 2.6, we can take \(\bigcup_{i=1}^{\infty}\mathbb{T}_{i}=\mathbb{T}\cup (\bigcup_{i\neq j}\emptyset )\) and \(\bigcup_{i=1}^{\infty}S_{i}=S\cup (\bigcup_{i\neq j}\emptyset )\), where S is the periods set of \(\mathbb{T}\), then \(\mathbb{T}_{r}=\emptyset\) and \(R_{0}=\emptyset\). Now by Definition 2.6 and Definition 2.7, we obtain the desired result. This completes the proof. □
Remark 2.6
If \(\mathbb{T}\) is a constantperiodic time scale, i.e., \(\mathbb{T}\) is an ωperiodic time scale, where ω is a constant, then \(\Pi=\{n\omega:n\in\mathbb{Z}\}:=S\). We also note that although Π can be written as \(\Pi=\bigcup_{n=1}^{\infty}\{n\omega\}\), we cannot regard \(S_{i}\) as \(\{i\omega\}\) for all \(i\in\mathbb{Z}\) since for any \(i\neq j\), \(t\in\mathbb{T}_{i}\), we have \(t+j\omega\in\mathbb{T}_{i}\), which contradicts condition (d) in Definition 2.6. Therefore, \(S_{i_{0}}=S\), \(\mathbb{T}_{r}=\emptyset\) for some \(i_{0}\in\mathbb{Z}^{+}\) and for \(i\neq i_{0}\), \(S_{i}=\emptyset\). Hence, all constantperiodic time scales are particular changingperiodic time scales (see Figure 1).
From Definition 2.6, the following properties of changingperiodic time scales are immediate.
Theorem 2.7
Let \(\mathbb{T}\) be a changingperiodic time scales, and \(\mathbb{T}_{i}\), \(S_{i}\), \(R_{0}\), \(\mathbb{T}_{r}\) satisfy Definition 2.6, the following hold:

(1)
If \(t\in\mathbb{T}\), then there must exist some \(i\in\mathbb{Z}^{+}\) such that \(t\in\mathbb{T}_{i}\cup\mathbb{T}_{r}\). Furthermore, if \(\mathbb{T}\) is complete, then \(t\in\mathbb{T}_{i}\).

(2)
If \(t\in\mathbb{T}_{i}\), \(\omega\in S_{i}\), then \(t+\omega\in\mathbb{T}_{i}\subset\mathbb{T}\).

(3)
If \(i\neq j\), then \((\mathbb{T}_{i}\cap\mathbb {T}_{j} )\backslash\{t_{ij}^{k}\}=\emptyset\), \(S_{i}\cap S_{j}=\emptyset\).

(4)
If \(t\in\mathbb{T}_{i}\backslash\{t_{ij}^{k}\}\), \(t+\omega\in \mathbb{T}\) for \(i\in\mathbb{Z}^{+}\), then \(\omega\in S_{i}\).

(5)
If \(\omega\in S_{i}\), \(t+\omega\in\mathbb{T}\) for \(i\in\mathbb{Z}^{+}\), then \(t\in\mathbb{T}_{i}\).
Proof
From Definition 2.6, (1) and (2) are obvious, and hence we need to prove (3), (4) and (5).
To prove (3), if there exists some \(t\in (\mathbb{T}_{i}\cap\mathbb{T}_{j} )\backslash\{t_{ij}^{k}\} \), \(i\neq j\), then \(t+\alpha\in\mathbb{T}_{i}\), \(t\in\mathbb{T}_{j}\), \(\forall\alpha\in S_{i}\) and \(t+\beta\in\mathbb{T}_{j}\), \(t\in\mathbb{T}_{i}\), \(\forall\beta\in S_{j}\), but this contradicts condition (d) in Definition 2.6. Similarly, if there exists some \(\tau\in S_{i}\cap S_{j}\), \(i\neq j\), then \(t+\tau\in\mathbb{T}_{i}\), \(\tau\in S_{j}\), \(\forall t\in \mathbb{T}_{i}\) and \(t+\tau\in\mathbb{T}_{j}\), \(\tau\in S_{i}\), \(\forall t\in\mathbb{T}_{j}\), which also contradicts condition (d) in Definition 2.6.
To prove (4), we assume that \(\omega\notin S_{i}\): case (1) \(\omega\notin R_{0}\), then there must exist \(S_{j}\) such that \(\omega\in S_{j}\), \(i\neq j\), but then \(t+\omega\in\mathbb{T}\) for \(t\in\mathbb{T}_{i}\backslash\{t_{ij}^{k}\}\), which contradicts condition (d) in Definition 2.6; case (2) \(\omega\in R_{0}\), then from \(t+\omega\in\mathbb{T}\), we have \(t\in\mathbb{T}_{r}\), but this contradicts the fact that \(t\in\mathbb{T}_{i}\).
To prove (5), we assume that \(t\notin\mathbb{T}_{i}\): case (1) \(t\notin\mathbb{T}_{r}\), then there must exist \(\mathbb{T}_{j}\) such that \(t\in\mathbb{T}_{j}\), \(i\neq j\) and t is obviously not a connected point between \(\mathbb{T}_{i}\) and \(\mathbb{T}_{j}\), then \(t+\omega\in\mathbb{T}\) for \(\omega\in S_{i}\), which contradicts condition (d) in Definition 2.6; case (2) \(t\in\mathbb{T}_{r}\), from \(t+\omega\in\mathbb{T}\), we have \(\omega\in R_{0}\), but this contradicts the fact that \(\omega\in S_{i}\). This completes the proof. □
In view of the characteristics of changingperiodic time scales (Theorem 2.7), we can introduce an index function \(\tau_{t}:\mathbb{T}\rightarrow\mathbb{Z}^{+}\cup\{0\}\) such that for \(t\in\mathbb{T}\), \(t\in\mathbb{T}_{\tau_{t}}\) holds. This function plays a very important role in introducing welldefined functions on time scales. Formally, we have the following definition of \(\tau_{t}\).
Definition 2.8
Let \(\mathbb{T}\) be a changingperiodic time scale, then the function τ
is called an index function for \(\mathbb{T}\), where the corresponding periods set of \(\mathbb{T}_{\tau_{t}}\) is denoted as \(S_{\tau_{t}}\). In what follows we shall call \(S_{\tau_{t}}\) the adaption set generated by t, and all the elements in \(S_{\tau_{t}}\) will be called the adaption factors for t.
Remark 2.8
From Definition 2.8, if \(\tau_{t}\) is an index function for \(\mathbb{T}\), then it immediately follows that

(i)
for \(t\in\mathbb{T}\), we have \(t\in\mathbb{T}_{\tau_{t}}\);

(ii)
for each \(i\in\mathbb{Z}^{+}\), \(t_{1},t_{2}\in\mathbb{T}_{i}\) if and only if \(\tau_{t_{1}}=\tau_{t_{2}}=i\). Furthermore, for \(t_{1},t_{2}\in\mathbb {T}_{r}\neq\emptyset\) if and only if \(\tau_{t_{1}}=\tau_{t_{2}}=0\), i.e., \(\mathbb{T}_{r}=\mathbb{T}_{0}\) (see Figure 2).
Obviously, if \(\mathbb{T}_{r}=\emptyset\), then \(\tau: \mathbb{T}\rightarrow\mathbb{Z}^{+}\).
Remark 2.9
Let \(\mathbb{T}\) be a changingperiodic time scale, for all \(t\in\mathbb{T}\) and all \(\omega\in S_{\tau_{t}}\), we have \(t+\omega\in\mathbb{T}_{\tau_{t}}\subset\mathbb{T}\). It is also obvious that if \(S_{i}\) is an adaption set generated by some given \(t_{0}\in\mathbb{T}_{i}\), then \(S_{\tau_{t_{0}}}\) is the adaption set for all \(t\in\mathbb{T}_{i}\) since \(\tau_{t_{0}}=\tau_{t}=i\) for all \(t\in\mathbb{T}_{i}\).
Now we can prove the following proposition.
Proposition 2.2
\(\mathbb{T}\) is an ωperiodic time scale if and only if we can obtain its index function \(\tau_{t}\equiv z\) for all \(t\in\mathbb{T}\), where z denotes some positive integer.
Proof
If \(\mathbb{T}\) is an ωperiodic time scale, then we find \(S=\{n\omega:n\in\mathbb{Z}\}\), and for all \(t\in\mathbb{T}\) and all \(\tilde{\tau}\in S\), we have \(t+\tilde{\tau}\in\mathbb{T}\). Thus, by Proposition 2.1 and Remark 2.8, there exists some positive integer z such that \(\mathbb{T}=\mathbb{T}_{z}\) and \(S=S_{z}\), i.e., we can choose the index function \(\tau _{t}\equiv z\) for all \(t\in\mathbb{T}\).
If \(\tau_{t}\equiv z\) for all \(t\in\mathbb{T}\), then there exists an adaption set \(S_{\tau_{t}}=S_{z}\) for all \(t\in\mathbb{T}\) such that for any \(\omega\in S_{\tau_{t}}\), we have \(t+\omega\in\mathbb{T}_{\tau_{t}}=\mathbb{T}\). Hence, \(\mathbb{T}\) is ωperiodic. This completes the proof. □
Remark 2.10
All changingperiodic time scales can be equipped with the corresponding index functions such that for all \(t\in\mathbb{T}\) and all \(\omega\in S_{\tau_{t}}\), \(t+\omega\in\mathbb{T}_{\tau_{t}}\subset\mathbb{T}\).
We are now in the position to prove the following important theorem which classifies the time scales with bounded graininess function μ as changingperiodic time scales.
Theorem 2.11
If \(\mathbb{T}\) is an infinite time scale and the graininess function \(\mu:\mathbb{T}\rightarrow\mathbb{R}^{+}\) is bounded, then \(\mathbb{T}\) is a changingperiodic time scale.
Proof
Without loss of generality, we assume that \(\sup\mathbb{T}=+\infty\), \(\inf\mathbb{T}=\infty\). We denote the set
where A̅ denotes the closure of the set A and \(\bar{\mu}=\sup_{t\in\mathbb{T}}\mu(t)\). Clearly, \(\mathbb{I}\) forms a semiordered set with respect to the inclusion relation and \(\mathbb{I}\) is closed. Denote \(\mathbb{I}^{*}\) the any subset of \(\mathbb{I}\) and is totally ordered. Hence, we can obtain two cases:
Case (1):
then \(\mathbb{T}_{\tau_{1}}\in\mathbb{I}^{*}\subset \mathbb{I}\) and \(\mathbb{T}_{\tau_{1}}\) is an upper bound of \(\mathbb{I}^{*}\) in \(\mathbb{I}\).
Case (2):
then \(\lim_{n\rightarrow\infty}(\mathbb{T}\cap\mathbb{T}^{\tau_{n}})=\bigcup_{n=1}^{\infty}(\mathbb{T}\cap\mathbb{T}^{\tau_{n}}) =\mathbb{T}\cap\mathbb{T}^{\tau_{\infty}}\subset\mathbb{T}\) is an upper bound of \(\mathbb{I}^{*}\). Because \(\mathbb{I}\) is closed, then \(\mathbb{T}\cap\mathbb{T}^{\tau_{\infty}}\in\mathbb{I}\). According to Zorn’s lemma (i.e., Lemma 2.1), there exists some \(\tau_{0}\in[\bar{\mu},\bar{\mu}]\backslash\{0\}\) such that \(\mathbb{T}\cap\mathbb{T}^{\tau_{0}}\) is the maximum element in \(\mathbb{I}\). Note that since μ is bounded, \(\mathbb{T}\cap\mathbb{T}^{\tau_{0}}\neq\emptyset\) and \(\sup(\mathbb{T}\cap\mathbb{T}^{\tau_{0}})=+\infty\), \(\inf(\mathbb{T}\cap\mathbb{T}^{\tau_{0}})=\infty\).
Now we will show that \(\mathbb{T}\) is a changingperiodic time scale. We divide the proof into the following steps.
Step I. We can find a time scale \(\mathbb{T}_{0}^{1}\) such that \(\mathbb{T}_{0}^{1}\subset\mathbb{T}\) is the largest periodic subtimescale in \(\mathbb{T}\). For this, we make a continuous translation of \(\mathbb{T}\) to find a number \(\tau_{1}\) such that \(\mathbb{T}\cap\mathbb{T}^{\tau_{1}}:=\mathbb{T}_{1}\) is the maximum. Next, consider a translation of \(\mathbb{T}_{1}\) again to find a number \(\tau_{2}\) such that \(\mathbb{T}_{1}\cap\mathbb{T}_{1}^{\tau_{2}}:=\mathbb{T}_{2}\) is the maximum. Continue this process n times to find a number \(\tau_{n}\) such that \(\mathbb{T}_{n1}\cap\mathbb{T}_{n1}^{\tau_{n}}:=\mathbb{T}_{n}\) is the maximum. This process leads to a decreasing sequence of timescale sets:
Hence, it follows that \(\lim_{n\rightarrow\infty}\mathbb{T}_{n}=\mathbb{T}_{0}^{1}\). This shows that there exists some \(\tau_{0}^{1}\) such that \(\mathbb{T}_{0}^{1}\) coincides with itself through the translation of this number. Obviously, this also implies that \(\mathbb{T}_{0}^{1}\) is not a finite union of the closed intervals.
Now we claim that \(\mathbb{T}_{0}^{1}\neq\emptyset\). In fact, if \(\mathbb{T}_{0}^{1}=\emptyset\), then there exists some sufficiently large \(n_{0}\) such that \(\mathbb{T}_{n_{0}}=\emptyset\), i.e., there exists some subtimescale \(\mathbb{T}_{n_{0}1}\subset\mathbb{T}\) such that \(\mathbb{T}_{n_{0}1}\) has no intersection with itself through the translation of the number \(\tau_{n_{0}}\) and \(\mathbb{T}_{n_{0}1}\cap\mathbb{T}_{n_{0}1}^{\tau_{n_{0}}}\) is the maximum element in
which means that \(\mathbb{T}_{n_{0}1}\) is a single point set, but this is a contradiction since \(\sup\mathbb{T}_{n_{0}1}=+\infty\), \(\inf\mathbb{T}_{n_{0}1}=\infty\). Therefore, \(\mathbb{T}_{0}^{1}\) is a \(\tau_{0}^{1}\)periodic subtimescale.
Step II. For the time scale \(\mathbb{T}^{*}_{1}:=\overline{\mathbb{T}\backslash\mathbb{T}_{0}^{1}}\), where A̅ denotes the closure of the set A, by replacing \(\mathbb{T}\) with \(\mathbb{T}_{1}^{*}\) and repeating Step I, we can obtain the periodic subtimescale \(\mathbb{T}_{0}^{2}\). For the time scale \(\mathbb{T}^{*}_{2}:=\overline{\mathbb{T}\backslash(\mathbb {T}_{0}^{1}\cup\mathbb{T}_{0}^{2})}\), by replacing \(\mathbb{T}\) with \(\mathbb{T}_{2}^{*}\) and repeating Step I, we can obtain the periodic subtimescale \(\mathbb{T}_{0}^{3}\). Similarly, we can obtain \(\mathbb{T}_{0}^{4},\ldots,\mathbb{T}_{0}^{n}\ldots\) . Obviously, the timescale sequence \(\{\mathbb{T}_{0}^{i}\}_{i\in\mathbb{Z}^{+}}\) is well connected and \((\mathbb{T}_{0}^{i}\cap\mathbb{T}_{0}^{j} )\backslash\{ t_{ij0}^{k}\}=\emptyset\) for \(i\neq j\), where \(\{t_{ij0}^{k}\}\) is the connected points set between \(\mathbb{T}_{0}^{i}\) and \(\mathbb{T}_{0}^{j}\). If for some sufficiently large \(n_{0}\), still \(\mathbb{T}_{n_{0}}^{*}=\overline{\mathbb{T}\backslash\bigcup_{i=1}^{n_{0}}\mathbb{T}_{0}^{i}}\) is an infinite time scale, then we repeat Step I again until the remaining timescale \(\mathbb{T}\backslash\bigcup_{i=1}^{\infty}\mathbb{T}_{0}^{i}=\emptyset\), or a finite union of the closed intervals.
Step III. Letting the set Π of \(\mathbb{T}\) be as
where \(R_{0}=\{0\}\) or ∅, from Steps I and II, it follows that \(S_{i}\cap S_{j}=\emptyset\) if \(i\neq j\).
From Steps I, II, III, we find \((\bigcup_{i=1}^{\infty}\mathbb{T}_{0}^{i} )\cup (\bigcup_{i=1}^{k}[\alpha_{i},\beta_{i}] )=\mathbb{T}\), where k is some finite number and \([\alpha_{i},\beta_{i}]\) are closed intervals for \(i=1,2,\ldots,k\), or \((\bigcup_{i=1}^{\infty}\mathbb{T}_{0}^{i} )=\mathbb{T}\). Therefore, \(\mathbb{T}\) is a changingperiodic time scale. This completes the proof. □
From the proof of Theorem 2.11, we have the following proposition.
Proposition 2.3
If \(\mathbb{T}=\bigcup_{i=1}^{\infty}\mathbb{T}_{i}\), where \(\mathbb{T}_{i}\) is \(\omega_{i}\)periodic for each \(i\in\mathbb{Z}^{+}\), then there exists a wellconnected timescale sequence \(\{\mathbb{T}_{0}^{i}\}_{i\in\mathbb{Z}^{+}}\) such that \(\mathbb{T}=\bigcup_{i=1}^{\infty}\mathbb{T}_{0}^{i}\), where \(\mathbb{T}_{0}^{i}\) is \(\omega_{0}^{i}\)periodic. Furthermore, \(\mathbb{T}\) is a complete changingperiodic time scale.
Proof
Since \(\mathbb{T}_{i}\) is periodic for each \(i\in\mathbb{Z}^{+}\), the graininess function \(\mu_{i}:\mathbb{T}_{i}\rightarrow\mathbb{R}^{+}\) is bounded for each \(i\in\mathbb{Z}^{+}\). Thus, the graininess function μ of \(\mathbb{T}\) is also bounded. Therefore, in view of Theorem 2.11, \(\mathbb{T}\) is a changingperiodic time scale. Further, from the proof of Theorem 2.11, \(\mathbb{T}\) can be decomposed into the union of all elements in the wellconnected periodic timescale sequence \(\{\mathbb{T}_{0}^{i}\}_{i\in\mathbb{Z}^{+}}\) and \(\mathbb{T}_{r}=\emptyset\). Now, by Definition 2.6 and Definition 2.7, \(\mathbb{T}\) is a complete changingperiodic time scale. This completes the proof. □
Now we shall demonstrate some complete changingperiodic time scales.
Example 2.12
Let \(k\in\mathbb{Z}\), consider the following time scale:
We denote
Then, by a direct calculation, the set Π is
This time scale is a changingperiodic time scale according to Definition 2.6.
Example 2.13
Let \(k\in\mathbb{Z}\), consider the following time scale:
We denote
Then, by a direct calculation, the set Π is
This time scale is a changingperiodic time scale according to Definition 2.6.
Example 2.14
Let \(k\in\mathbb{Z}\), consider the following time scale:
We denote
Then, by a direct calculation, the set Π is
This time scale is a changingperiodic time scale according to Definition 2.6.
The above examples lead to the following immediate propositions.
Proposition 2.4
Let \(\mathbb{T}_{i}\) be constantperiodic time scales for all \(i\in I\), then \(\bigcup_{i\in I}\mathbb{T}_{i}\) may not be a constantperiodic time scale, where I is an index number set.
Proposition 2.5
Let \(\mathbb{T}_{i}\) be constantperiodic time scales with \(\omega_{i}\)period for all \(i\in I\), and \(\omega_{i}\) is a natural number for each \(i\in I\). If all the numbers in the set \(\{\omega_{i}\}_{i\in I}\) have a lowest common multiple ω, then \(\bigcup_{i\in I}\mathbb{T}_{i}\) is an ωperiodic time scale.
Example 2.15
Let \(k\in\mathbb{Z}\), consider the following time scale:
then it is easily seen that \(\Pi=\{2n,n\in\mathbb{Z}\}\cup\{3n,n\in\mathbb{Z}\}\cup\{5n,n\in\mathbb {Z}\}\), and \(\mathbb{T}\) has the constant period 30.
Now we construct some changingperiodic time scales with μ bounded.
Example 2.16
Let \(a>1\), \(t>a\), \(t\in\mathbb{T}\), and consider the following time scale:
where
Then we have
and
Similarly, we also have
and
Example 2.17
Let \(a>1\) and consider the following almost periodic time scale:
where
Then we have
and
Remark 2.18
In [14] it has been shown that time scales considered in Examples 2.16 and 2.17 are almost periodic time scales. In fact, in our next corollary we shall show that all concepts of almost periodic time scales discussed in [13, 14] are actually changingperiodic time scales.
Corollary 2.19
Almost periodic time scales (cf. [13, 14]) are particular changingperiodic time scales.
Proof
Obviously, if \(\mathbb{T}\) is an almost periodic time scale, then \(\mu:\mathbb{T}\rightarrow\mathbb{R}^{+}\) is bounded, and thus, by Theorem 2.11, \(\mathbb{T}\) is a changingperiodic time scale. This completes the proof. □
Remark 2.20
Time scales considered in Examples 2.12, 2.13 and 2.14 are not almost periodic time scales but changingperiodic time scales. Therefore, changingperiodic time scales strictly include almost periodic time scales (see Figure 3).
Now we state and prove the following theorem, which plays an important role in establishing classical functions on changingperiodic time scales.
Theorem 2.21
(Decomposition theorem of time scales)
Let \(\mathbb{T}\) be an infinite time scale and the graininess function \(\mu:\mathbb{T}\rightarrow\mathbb{R}^{+}\) be bounded, then \(\mathbb{T}\) is a changingperiodic time scale, i.e., there exists a countable periodic decomposition such that \(\mathbb{T}= (\bigcup_{i=1}^{\infty}\mathbb{T}_{i} )\cup \mathbb{T}_{r}\) and \(\mathbb{T}_{i}\) is an ωperiodic subtimescale, \(\omega\in S_{i}\), \(i\in\mathbb{Z}^{+}\), where \(\mathbb{T}_{i}\), \(S_{i}\), \(\mathbb{T}_{r}\) satisfy the conditions in Definition 2.6.
Proof
From Theorem 2.11, we know that \(\mathbb{T}\) is a changingperiodic time scale, so one can obtain the decomposition of the time scale \(\mathbb{T}\) directly from Definition 2.6. The proof is complete. □
Remark 2.22
From the definition of the index function (i.e., Definition 2.8), we see that a decomposition of a time scale can be determined by its index function τ. In fact, as a consequence of Theorem 2.21, we have the following result.
Theorem 2.23
(Periodic coverage theorem of time scales)
Let \(\mathbb{T}\) be an infinite time scale and the graininess function \(\mu:\mathbb{T}\rightarrow\mathbb{R}^{+}\) be bounded, then \(\mathbb{T}\) can be covered by countable periodic time scales.
Proof
From Theorem 2.21 and Definition 2.6, it follows that
where \(\mathbb{T}_{i}\) is periodic for each \(i\in\mathbb{Z}^{+}\) and \(\mathbb{T}_{r}=\emptyset\) or \(\mathbb{T}_{r}\) is a zeroperiodic time scale. This completes the proof. □
It is interesting to note that in view of Theorem 2.21, Proposition 2.3 and Definition 2.6, it is possible to introduce another concept of changingperiodic time scales.
Definition 2.9
We say that \(\mathbb{T}\) is a changingperiodic time scale if and only if \(\mathbb{T}\) is a countable union of periodic time scales.
Remark 2.24
According to Remark 2.2, a finite union of closed intervals \(\bigcup_{i=1}^{k}[\alpha_{i},\beta_{i}]:=\mathbb{T}_{r}\) is a zeroperiodic time scale. Thus, \(\mathbb{T}= (\bigcup_{i=1}^{\infty}\mathbb{T}_{i} )\cup \mathbb{T}_{r}\) can be regarded as a union of periodic time scales. Therefore, by Proposition 2.3, Definition 2.6 is equivalent to Definition 2.9.
Remark 2.25
From the above Definitions 2.6 and 2.9, we note that \(\mathbb{T}_{i}\) and \(S_{i}\) appear in pairs for \(i\in\mathbb{Z}^{+}\), likewise, \(\mathbb{T}_{r}\) and \(R_{0}\) also crop up in pair (see Figure 4).
Remark 2.26
For simplicity, since the remain timescale \(\mathbb{T}_{r}\) can be regarded as the zeroperiodic time scale, a changingperiodic time scale can be denoted as \(\mathbb{T}=\bigcup_{i=1}^{\infty}\mathbb{T}_{i}\) which contains \(\mathbb{T}_{r}\).
Almost periodicity and almost automorphy of functions on changingperiodic time scales
By virtue of Section 2, we now propose a completely new concept of almost periodic functions on changingperiodic time scales, which includes not only the concept of almost periodic functions on periodic time scales, but also the concept of almost periodic functions on almost periodic time scales, and it is more general and comprehensive. For this, we need the following notations: Let \(\alpha^{\tau}=\{\alpha_{n}^{\tau}\}\subset S_{\tau_{t}}\) and \(\beta^{\tau}=\{\beta^{\tau}_{n}\}\subset S_{\tau_{t}}\) be two adaption factors sequences for t under the index function τ. Then \(\beta^{\tau}\subset\alpha^{\tau}\) means that \(\beta^{\tau}\) is a subsequence of \(\alpha^{\tau}\); \(\alpha^{\tau}+\beta^{\tau}=\{\alpha^{\tau}_{n}+\beta^{\tau}_{n}\}\); \(\alpha^{\tau}=\{\alpha^{\tau}_{n}\}\); \(\mathbb{E}^{n}\) denotes \(\mathbb{R}^{n}\) or \(\mathbb{C}^{n}\), D denotes an open set in \(\mathbb{E}^{n}\) or \(D=\mathbb{E}^{n}\), and S denotes an arbitrary compact subset of D. We will also need the translation operator \(T_{\alpha^{\tau}}\), \(T_{\alpha^{\tau}}f(t,x)=g(t,x)\), which means that \(g(t,x)=\lim_{n\rightarrow+\infty}f(t+\alpha^{\tau}_{n},x)\) provided the limit exists.
Definition 3.1
Let \(\mathbb{T}\) be a changingperiodic time scale, i.e., \(\mathbb{T}\) satisfies Definition 2.6. A function \(f\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) is called a localalmost periodic function in \(t\in\mathbb{T}\) uniformly for \(x\in D\) if the εtranslation numbers set of f,
is a relatively dense set for all \(\varepsilon>0\) and for each compact subset S of D; that is, for any given \(\varepsilon>0\) and each compact subset S of D, there exists a constant \(l(\varepsilon,S)>0\) such that each interval of length \(l(\varepsilon,S)\) contains \(\tilde{\tau}(\varepsilon,S)\in E\{\varepsilon,f,S\}\) such that
here, τ̃ is called the εlocal translation number of f and \(l(\varepsilon,S)\) is called the local inclusion length of \(E\{\varepsilon,f,S\}\).
Remark 3.1
Since the changingperiodic time scales include periodic and almost periodic time scales, if \(\mathbb{T}\) is a τ̃periodic time scale, then \(\mathbb{T}_{r}=\emptyset\), \(R_{0}=\emptyset\) and \(S_{\tau_{t}}=\{n\tilde{\tau}:n\in\mathbb{Z}\}\), so Definition 3.1 is equivalent to Definition 3.10 in [13]; if \(\mathbb{T}\) is an almost periodic time scale, then μ is bounded, so \(\mathbb{T}\) is a changingperiodic time scale, then Definition 3.1 includes Definition 14 in [14] since Definition 3.1 covers the almost periodicity on the part \(\mathbb{T}\backslash(\mathbb{T}\cap\mathbb{T}^{\tau})\) of Definition 14 in [14].
Remark 3.2
In Definition 3.1, we require \(E\{\varepsilon,f,S\}\) to be a relatively dense set. Thus, by the definition and the property of \(S_{\tau_{t}}\), we can obtain the local almost periodicity on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\) from Definition 3.1 (see Figure 5).
Now we give another definition which in view of Theorem 2.21 is equivalent to Definition 3.1.
Definition 3.2
Assume that \(\mathbb{T}\) is a changingperiodic time scale. Let \(f(t,x)\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) if for any given adaption factors sequence \((\alpha^{\tau})'\subset S_{\tau_{t}}\), there exists a subsequence \(\alpha^{\tau}\subset(\alpha^{\tau})'\) such that \(T_{\alpha^{\tau}}f(t,x)\) exists uniformly on \(\mathbb{T}\times S\), then \(f(t,x)\) is called a localalmost periodic function in t uniformly for \(x\in D\).
Example 3.3
Consider the changingperiodic time scale given in Example 2.17, with \(a=3\), and define
then \(f(t)\) is a localalmost periodic function on \(\mathbb{T}\). It is worth noting that \(f(t)\) is almost periodic only on a local part of this time scale. In fact, if \(t\in\bigcup_{m=1}^{\infty}\{a+p_{m}\}\), then the function \(f(t)\) is not almost periodic on these points since \(f(t)\) becomes unbounded as t increases. Hence, \(f(t)\) is only a localalmost periodic function on the subset of \(\bigcup_{m=1}^{\infty}[p_{m},a+p_{m})\). From Figure 6, and in view of Theorem 2.21, it is clear that \(f(t)\) is localalmost periodic on the periodic subtimescale of the set \(\bigcup_{m=1}^{\infty}[p_{m},a+p_{m})\), except at the rightscattered points \(\bigcup_{m=1}^{\infty}\{a+p_{m}\}\), and thus by the definition of \(f(t)\), it will not be almost periodic.
From Definition 3.2, we have the following proposition.
Proposition 3.1
Let \(\mathbb{T}\) be a changingperiodic time scale. If \(f\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) is a localalmost periodic in t uniformly for \(x\in D\), then \(f\in C(\mathbb{T}_{0}\times D,\mathbb{E}^{n})\) is localalmost periodic in t uniformly for \(x\in D\), where \(\mathbb{T}_{0}\) is a changingperiodic time scale and \(\mathbb{T}_{0}\subset\mathbb{T}\).
Proof
Let \(f\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) be uniformly localalmost periodic, then, by Definition 3.2, for any adaption factors sequence \((\alpha^{\tau})'\subset S_{\tau_{t}}\subset\Pi\), there exists a subsequence \(\alpha^{\tau}\subset(\alpha^{\tau})'\) such that \(T_{\alpha^{\tau}}f(t,x)\) exists uniformly on \(\mathbb{T}\times S\), where S is any compact set in D. Consequently, \(T_{\alpha^{\tau}}f(t,x)\) exists uniformly on \(\mathbb{T}_{0}\times S\). This completes the proof. □
Next, we have the following definition.
Definition 3.3
Let \(f,g\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) be uniformly localalmost periodic and \(\mathbb{T}\) be a changingperiodic time scale. We say f and g are synchronously localalmost periodic if f, g are almost periodic on the same periodic subtimescales of \(\mathbb{T}\).
From Theorem 2.21, we can deduce the following result for synchronously localalmost periodic functions.
Theorem 3.4
If \(f,g\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) are two synchronously localalmost periodic functions, then, for any \(\varepsilon>0\), the intersection of εlocal translation numbers sets of f and g is a nonempty relatively dense set, i.e., \(E\{\varepsilon,f,S\}\cap E\{\varepsilon,g,S\}\) is a nonempty relatively dense set.
Proof
If \(f,g\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) are two synchronously localalmost periodic functions, then, by Definition 3.3, f, g are almost periodic on the same periodic subtimescales of \(\mathbb{T}\). Now, from Theorem 3.22 in [13], the desired conclusion follows immediately. This completes the proof. □
Finally, in this paper we consider the following linear dynamic equation on a changingperiodic time scale \(\mathbb{T}\):
and its associated homogeneous equation
where \(A(t)\) is a localalmost periodic matrix function, and \(f(t)\) is a localalmost periodic vector function. Further, we assume that \(f(t)\) and \(A(t)\) are synchronously localalmost periodic functions.
In the following result we shall use the decomposition theorem of time scales (i.e., Theorem 2.21) to establish the existence and uniqueness of localalmost periodic solutions for the dynamic equation (1).
Theorem 3.5
Let \(\mathbb{T}\) be a changingperiodic time scale and \(\tau_{t}\) be an index function. If (2) admits an exponential dichotomy on the local part \(\mathbb{T}_{\tau_{t}}\) for all \(t\in\mathbb{T}\), then (1) has a unique localalmost periodic solution on \(\mathbb{T}_{\tau_{t}}\) as follows:
where \(X(t)\) is the fundamental solution matrix of (2), \(P_{\tau_{t}}\), \(IP_{\tau_{t}}\) are two projections of exponential dichotomy on \(\mathbb{T}_{\tau_{t}}\), \(\sigma_{\tau_{t}}\) is the forward jump operator on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\), \(\Delta_{\tau_{t}}\) is the Δintegral on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\).
Proof
By Definition 2.9 and Proposition 2.21, we know that \(\mathbb{T}=\bigcup_{i=1}^{\infty}\mathbb{T}_{i}\), \(\mathbb{T}_{i}\) is \(\omega_{i}\)periodic for each \(i\in\mathbb{Z}^{+}\) and \(\{\mathbb{T}_{i}\}_{i\in\mathbb{Z}^{+}}\) is well connected, so \(\mathbb{T}_{\tau_{t}}\) is a periodic subtimescale. According to Theorem 4.19 in [13], if (2) admits an exponential dichotomy on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\) for all \(t\in\mathbb{T}\), then (1) has a unique almost periodic solution on \(\mathbb{T}_{\tau_{t}}\) as follows:
Hence, Eq. (1) has a unique localalmost periodic solution on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\). This completes the proof. □
Remark 3.6
Note that in (3), \(s,t\in\mathbb{T}_{\tau_{t}}\), thus, \(\tau_{s}=\tau_{t}\). Hence, (3) can be written as
By the above Theorem 3.5, we can get the following corollary.
Corollary 3.7
Let \(\mathbb{T}\) be a changingperiodic time scale and \(\mathbb{T}_{i}\) be a periodic subtimescale. If (2) admits an exponential dichotomy on the local part \(\mathbb{T}_{i}\) for some \(i\in\mathbb{Z}^{+}\), then (1) has a unique localalmost periodic solution on \(\mathbb{T}_{i}\) as follows:
where \(X(t)\) is the fundamental solution matrix of (2), \(P_{i}\), \(IP_{i}\) are two projections of exponential dichotomy on \(\mathbb{T}_{i}\), \(\sigma_{i}\) is the forward jump operator on the periodic subtimescale \(\mathbb{T}_{i}\), \(\Delta_{i}\) is the Δintegral on the periodic subtimescale \(\mathbb{T}_{i}\).
In what follows, we will give the concept of combinablealmost periodic functions on changingperiodic time scales by Definition 3.1.
Definition 3.4
Let \(\mathbb{T}\) be a changingperiodic time scale. If there exists an \(\omega_{i_{0}}\)periodic subtimescale set \(\{\mathbb{T}_{i_{0}}\}_{i_{0}\in I}\) such that the periods set \(\{\omega_{i_{0}}\}_{i_{0}\in I}\) has a lowest common multiple ω and f is almost periodic on \(\mathbb{T}_{i_{0}}\) for each \(i_{0}\), where I is a combinable index number set, then f is called a combinablealmost periodic function on \(\mathbb{T}\). In fact, f is almost periodic on the ωperiodic subtimescale \(\bigcup_{i_{0}\in I}\mathbb{T}_{i_{0}}\). Further, if \(\bigcup_{i_{0}\in I}\mathbb{T}_{i_{0}}=\mathbb{T}\), then f is called the globally combinablealmost periodic function on \(\mathbb{T}\).
The following two corollaries are immediate consequences of Theorem 3.5.
Corollary 3.8
Let \(\mathbb{T}\) be a changingperiodic time scale and f be a combinablealmost periodic function on \(\mathbb{T}\), and I be a combinable index number set. Then (1) has a unique combinablealmost periodic solution on \(\bigcup_{i\in I}\mathbb{T}_{i}\) given by
where \(X(t)\) is the fundamental solution matrix of (2), \(P_{c}\), \(IP_{c}\) are two projections of exponential dichotomy on \(\bigcup_{i\in I}\mathbb{T}_{i}\), \(\sigma_{c}\) is the forward jump operator on the periodic subtimescale \(\bigcup_{i\in I}\mathbb{T}_{i}\), and \(\Delta_{c}\) is the Δintegral on the periodic subtimescale \(\bigcup_{i\in I}\mathbb{T}_{i}\).
Corollary 3.9
The function f is globally combinablealmost periodic on \(\mathbb{T}\) if and only if f is an almost periodic function on the periodic time scale \(\mathbb{T}\).
Proof
Since \(\mathbb{T}_{i}\) is an \(\omega_{i}\)periodic subtimescale, from \(\mathbb{T}=\bigcup_{i\in I}\mathbb{T}_{i}\), we find that \(\mathbb{T}\) is an ωperiodic time scale, where ω is a lowest common multiple of \(\{\omega_{i}\}_{i\in I}\) and I is a combinable index number set. Hence, from Definition 3.4 the desired conclusion follows immediately. This completes the proof. □
Remark 3.10
From Corollary 3.9 it follows that the concept of almost periodic functions on periodic time scales is equivalent to the concept of globally combinablealmost periodic functions on changingperiodic time scales.
Next, we introduce the concepts of localalmost automorphic functions on changingperiodic time scales.
Definition 3.5
Let \(\mathbb{X}\) be a Banach space and \(\mathbb{T}\) be a changingperiodic time scale.

(i)
Let \(f:\mathbb{T}\rightarrow\mathbb{X}\) be a bounded continuous function. We say that f is localalmost automorphic if for every adaption factor sequence \(\{s_{n}^{\tau}\}_{n=1}^{\infty}\subset S_{\tau_{t}}\subset\Pi\), we can extract a subsequence \(\{\tau_{n}^{\tau}\}_{n=1}^{\infty}\) such that
$$ g(t)=\lim_{n\rightarrow\infty}f\bigl(t+\tau_{n}^{\tau} \bigr) $$is well defined for each \(t\in\mathbb{T}\), and
$$ \lim_{n\rightarrow\infty}g\bigl(t\tau_{n}^{\tau} \bigr)=f(t) $$for each \(t\in\mathbb{T}\). We shall denote by \(AA(\mathbb{T},\mathbb{X})\) the set of all such functions.

(ii)
A continuous function \(f:\mathbb{T}\times B\rightarrow\mathbb{X}\) is said to be localalmost automorphic if \(f(t,x)\) is localalmost automorphic in \(t\in\mathbb{T}\) uniformly for all \(x\in B\), where B is any bounded subset of \(\mathbb{X}\) or \(B=\mathbb{X}\). We shall denote by \(AA(\mathbb{T}\times\mathbb{X},\mathbb{X})\) the set of all such functions.
Remark 3.11
Since the changingperiodic time scales include periodic and almost periodic time scales, if \(\mathbb{T}\) is a τ̃periodic time scale, then \(\mathbb{T}_{r}=\emptyset\), \(R_{0}=\emptyset\) and \(S_{\tau_{t}}=\{n\tilde{\tau}:n\in\mathbb{Z}\}\). Thus, Definition 3.5 is equivalent to Definition 3.15 in [16]. Further, if \(\mathbb{T}\) is an almost periodic time scale, then μ is bounded, and hence \(\mathbb{T}\) is a changingperiodic time scale. Therefore, Definition 3.5 is more general than Definition 45 in [14] because Definition 3.5 covers the almost automorphy on the part \(\mathbb{T}\backslash\mathbb{T}_{0}\) of Definition 45 in [14].
Remark 3.12
From Definition 3.5 and the property of \(S_{\tau_{t}}\), we can obtain the local almost automorphy on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\).
In fact, as a consequence of Definition 3.5, we have the following proposition.
Proposition 3.2
Let \(\mathbb{T}\) be a changingperiodic time scale. If \(f\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) is a localalmost automorphic in t uniformly for \(x\in D\), then \(f\in C(\mathbb{T}_{0}\times D,\mathbb{E}^{n})\) is localalmost automorphic in t uniformly for \(x\in D\), where \(\mathbb{T}_{0}\) is a changingperiodic time scale and \(\mathbb{T}_{0}\subset\mathbb{T}\).
Proof
Let \(f\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) be uniformly localalmost automorphic, then by Definition 3.5, for any adaption factors sequence \((\alpha^{\tau})'\subset S_{\tau_{t}}\subset\Pi\), there exists a subsequence \(\alpha^{\tau}\subset(\alpha^{\tau})'\) such that \(T_{\alpha^{\tau}}f(t,x)=g(t,x)\) and \(T_{\alpha^{\tau}}g(t,x)=f(t,x)\) for each \(t\in\mathbb{T}\) uniformly for \(x\in S\), where S is any compact set in D. Thus it follows that \(T_{\alpha^{\tau}}f(t,x)=g(t,x)\) and \(T_{\alpha^{\tau}}g(t,x)=f(t,x)\) for each \(t\in\mathbb{T}_{0}\) uniformly for \(x\in S\). This completes the proof. □
Definition 3.6
Let \(f,g\in C(\mathbb{T}\times D,\mathbb{E}^{n})\) be uniformly localalmost automorphic and \(\mathbb{T}\) be a changingperiodic time scale. We say f and g are synchronously localalmost automorphic if f, g are almost automorphic on the same periodic subtimescales of \(\mathbb{T}\).
Now we assume that in (1) and (2) \(A(t)\) is a localalmost automorphic matrix function and \(f(t)\) is a localalmost automorphic vector function. Further, we let \(f(t)\) and \(A(t)\) be synchronously localalmost automorphic functions.
In the following result, as a further application of our decomposition theorem of time scales (i.e., Theorem 2.21), we shall establish the existence and uniqueness of localalmost automorphic solutions for the dynamic equation (1).
Theorem 3.13
Let \(\mathbb{T}\) be a changingperiodic time scale and \(\tau_{t}\) be an index function. Suppose that \(A\in\mathcal {R}(\mathbb{T},\mathbb{R}^{n\times n})\) is almost automorphic and nonsingular on \(\mathbb{T}_{\tau_{t}}\) and \(\{A^{1}(t)\}_{t\in\mathbb{T}_{\tau_{t}}}\), \(\{(I+\mu_{\tau _{t}}(t)A(t))^{1}\}_{t\in\mathbb{T}_{\tau_{t}}}\) are bounded for all \(t\in\mathbb{T}\). If (2) admits an exponential dichotomy on the local part \(\mathbb{T}_{\tau_{t}}\), then (1) has a unique localalmost automorphic solution on \(\mathbb{T}_{\tau_{t}}\) as follows:
where \(X(t)\) is the fundamental solution matrix of (2), \(P_{\tau_{t}}\), \(IP_{\tau_{t}}\) are two projections of exponential dichotomy on \(\mathbb{T}_{\tau_{t}}\), \(\sigma_{\tau_{t}}\) is the forward jump operator on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\), \(\Delta_{\tau_{t}}\) is the Δintegral on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\).
Proof
By Definition 2.9 and Proposition 2.21, we know that \(\mathbb{T}=\bigcup_{i=1}^{\infty}\mathbb{T}_{i}\), \(\mathbb{T}_{i}\) is \(\omega_{i}\)periodic for each \(i\in\mathbb{Z}^{+}\) and \(\{\mathbb{T}_{i}\}_{i\in\mathbb{Z}^{+}}\) is well connected, thus, \(\mathbb{T}_{\tau_{t}}\) is a periodic subtimescale. According to Theorem 5.6 in [16], if (2) admits an exponential dichotomy on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\) for all \(t\in\mathbb{T}\), then (1) has a unique almost automorphic solution on \(\mathbb{T}_{\tau_{t}}\) as follows:
Hence, Eq. (1) has a unique localalmost automorphic solution on the periodic subtimescale \(\mathbb{T}_{\tau_{t}}\). This completes the proof. □
Remark 3.14
Note that in (4), \(s,t\in\mathbb{T}_{\tau_{t}}\), thus \(\tau_{s}=\tau_{t}\). Hence, (4) can also be written as
By the above Theorem 3.13, we can get the following corollary.
Corollary 3.15
Let \(\mathbb{T}\) be a changingperiodic time scale and \(\mathbb{T}_{i}\) be a periodic subtimescale. Suppose that \(A\in\mathcal {R}(\mathbb{T},\mathbb{R}^{n\times n})\) is almost automorphic and nonsingular on \(\mathbb{T}_{i}\) and \(\{A^{1}(t)\}_{t\in\mathbb{T}_{i}}\), \(\{(I+\mu_{i}(t)A(t))^{1}\}_{t\in \mathbb{T}_{i}}\) are bounded for some \(i\in\mathbb{Z}^{+}\). If (2) admits an exponential dichotomy on the local part \(\mathbb{T}_{i}\), then (1) has a unique localalmost automorphic solution on \(\mathbb{T}_{i}\) as follows:
where \(X(t)\) is the fundamental solution matrix of (2), \(P_{i}\), \(IP_{i}\) are two projections of exponential dichotomy on \(\mathbb{T}_{i}\), \(\sigma_{i}\) is the forward jump operator on the periodic subtimescale \(\mathbb{T}_{i}\), \(\Delta_{i}\) is the Δintegral on the periodic subtimescale \(\mathbb{T}_{i}\).
In what follows, we will introduce the concept of combinablealmost automorphic functions on changingperiodic time scales.
Definition 3.7
Let \(\mathbb{T}\) be a changingperiodic time scale. If there exists an \(\omega_{i_{0}}\)periodic subtimescale set \(\{\mathbb{T}_{i_{0}}\}_{i_{0}\in I}\) such that the periods set \(\{\omega_{i_{0}}\}_{i_{0}\in I}\) has a lowest common multiple ω and f is almost automorphic on \(\mathbb{T}_{i_{0}}\) for each \(i_{0}\), where I is a combinable index number set, then we say f is a combinablealmost automorphic function on \(\mathbb{T}\). In fact, then f is almost automorphic on the ωperiodic subtimescale \(\bigcup_{i_{0}\in I}\mathbb{T}_{i_{0}}\). Further, if \(\bigcup_{i_{0}\in I}\mathbb{T}_{i_{0}}=\mathbb{T}\), then f is called globally combinablealmost automorphic function on \(\mathbb{T}\).
The following two corollaries are immediate consequences of Theorem 3.13.
Corollary 3.16
Let \(\mathbb{T}\) be a changingperiodic time scale and f be a combinablealmost automorphic function on \(\mathbb{T}\), and I be a combinable index number set. If \(A\in\mathcal {R}(\mathbb{T},\mathbb{R}^{n\times n})\) is almost automorphic and nonsingular on \(\bigcup_{i\in I}\mathbb{T}_{i}\), and \(\{A^{1}(t)\}_{t\in\cup_{i\in I}\mathbb{T}_{i}}\) and \(\{(I+ \mu_{i}(t)A(t))^{1}\}_{t\in\cup_{i\in I}\mathbb{T}_{i}}\) are bounded, then (1) has a unique combinablealmost automorphic solution on \(\bigcup_{i\in I}\mathbb{T}_{i}\) given by
where \(X(t)\) is the fundamental solution matrix of (2), \(P_{c}\), \(IP_{c}\) are two projections of exponential dichotomy on \(\bigcup_{i\in I}\mathbb{T}_{i}\), \(\sigma_{c}\) is the forward jump operator on the periodic subtimescale \(\bigcup_{i\in I}\mathbb{T}_{i}\), and \(\Delta_{c}\) is the Δintegral on the periodic subtimescale \(\bigcup_{i\in I}\mathbb{T}_{i}\).
Corollary 3.17
The function f is globally combinablealmost automorphic on \(\mathbb{T}\) if and only if f is almost automorphic on the periodic time scale \(\mathbb{T}\).
Proof
Since \(\mathbb{T}_{i}\) is an \(\omega_{i}\)periodic subtimescale, from \(\mathbb{T}=\bigcup_{i\in I}\mathbb{T}_{i}\) it follows that \(\mathbb{T}\) is an ωperiodic time scale, where ω is a lowest common multiple of \(\{\omega_{i}\}_{i\in I}\) and I is a combinable index number set. Hence, the desired result follows from Definition 3.16. This completes the proof. □
Remark 3.18
From Corollary 3.17 it follows that the concept of almost automorphic functions on periodic time scales is equivalent to the concept of globally combinablealmost automorphic functions on changingperiodic time scales.
Conclusion
In this work we have introduced a completely new type of time scales  ‘changing periodic time scales’, and examined some of their properties. The main propose of this kind of time scales is to resolve the problems from an arbitrary time scale to the ones on periodic time scales. Our decomposition theorem of time scales divides an arbitrary time scale into a countable union of periodic time scales. This result not only provides us with a new approach to investigate problems by the known methods on periodic time scales, but also opens up new avenues to study local properties of the functions defined on time scales. It is clearly shown that the changingperiodic time scales are more general than the time scales with bounded graininess function μ, and therefore results obtained on this new type of time scales include all the known results on time scales with bounded graininess function μ. Hence, it is compelling to study problems on changingperiodic time scales. To illustrate the importance of our theory, first we introduce new concepts  ‘localalmost periodic functions’ and ‘localalmost automorphic functions’ on time scales, and then we use the properties of changingperiodic time scales to establish the localalmost periodicity and localalmost automorphy of solutions of dynamic equations.
References
 1.
Hilger, S: Differential and difference calculus  unified! Nonlinear Anal. 30(5), 26832694 (1997)
 2.
Hilger, S: Generalized theorem of HartmanGrobman on measure chains. J. Aust. Math. Soc. A 60(2), 157191 (1996)
 3.
Agarwal, RP, Bohner, M, O’Regan, D, Peterson, A: Dynamic equations on time scales: a survey. J. Comput. Appl. Math. 141, 126 (2002)
 4.
Bohner, M, Peterson, A: Dynamic Equations on Time Scales: An Introduction with Applications. Birkhäuser Boston, Boston (2001)
 5.
Agarwal, RP, Bohner, M: Basic calculus on time scales and some of its applications. Results Math. 35, 322 (1999)
 6.
Wang, C, Agarwal, RP: Uniformly rdpiecewise almost periodic functions with applications to the analysis of impulsive Δdynamic system on time scales. Appl. Math. Comput. 259, 271292 (2015)
 7.
Wang, C, Agarwal, RP: Exponential dichotomies of impulsive dynamic systems with applications on time scales. Math. Methods Appl. Sci. (2014). doi:10.1002/mma.3325
 8.
Wang, C, Li, Y: Weighted pseudo almost automorphic functions with applications to abstract dynamic equations on time scales. Ann. Pol. Math. 108, 225240 (2013)
 9.
Wang, C, Agarwal, RP: Weighted piecewise pseudo almost automorphic functions with applications to abstract impulsive ∇dynamic equations on time scales. Adv. Differ. Equ. 2014, 153 (2014)
 10.
Wang, C: Almost periodic solutions of impulsive BAM neural networks with variable delays on time scales. Commun. Nonlinear Sci. Numer. Simul. 19, 28282842 (2014)
 11.
Agarwal, RP, Bohner, M, Saker, S: Dynamic Littlewoodtype inequalities. Proc. Am. Math. Soc. 143, 667677 (2015)
 12.
Kaufmann, ER, Raffoul, YN: Periodic solutions for a neutral nonlinear dynamical equation on a time scale. J. Math. Anal. Appl. 319, 315325 (2006)
 13.
Li, Y, Wang, C: Uniformly almost periodic functions and almost periodic solutions to dynamic equations on time scales. Abstr. Appl. Anal. 2011, Article ID 341520 (2011)
 14.
Wang, C, Agarwal, RP: A further study of almost periodic time scales with some notes and applications. Abstr. Appl. Anal. 2014, Article ID 267384 (2014)
 15.
Wilansky, A: Topics in Functional Analysis. Lecture Notes in Mathematics, vol. 45. Springer, Berlin (1967)
 16.
Lizama, C, Mesquita, JG: Almost automorphic solutions of dynamic equations on time scales. J. Funct. Anal. 265, 22672311 (2013)
Acknowledgements
This work is supported by Yunnan University Scientific Research Fund Project in China (No. 2013CG020), Yunnan Province Education Department Scientific Research Fund Project in China (No. 2014Y008), and Yunnan Province Science and Technology Department Applied Basic Research Project in China (No. 2014FB102).
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Wang, C., Agarwal, R.P. Changingperiodic time scales and decomposition theorems of time scales with applications to functions with local almost periodicity and automorphy. Adv Differ Equ 2015, 296 (2015). https://doi.org/10.1186/s1366201506331
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MSC
 26E70
 43A60
 26E99
 34N05
 35B15
Keywords
 changingperiodic time scales
 decomposition theorem of time scales
 periodic subtimescale
 almost periodic functions
 almost automorphic functions