1. Introduction
The theory of time scales was established by S. Hilger [
1] in 1988 in order to unify continuous and discrete problems. The theory provides a powerful tool for applications to economics, populations models, quantum physics among others and hence has been attracting the attention of lots of mathematicians. In 2011, Li and Wang [
2,
3] introduced almost periodicity on time scales. Since then many generalized types of almost periodicity have been introduced on time scales, such as almost automorphy [
4], pseudo almost periodicity [
5], weighted pseudo almost periodicity [
6], weighted piecewise pseudo almost automorphy [
7], etc.
To consider the almost periodicity of integrable functions, Stepanov [
8] and Wiener [
9] introduced Stepanov almost periodicity in 1926 by using Bochner transform. Namely, a function is Stepanov almost periodic if its Bochner transform is almost periodic. Then Stepanov almost periodic functions inherit some basic properties from almost periodic functions directly. In 2017, paper [
10] tried to extend this work on time scales. Unfortunately, we show that Bochner transform is not valid on time scales (Example 1).
The main purpose of this work is to give a revised version of Bochner transform, called Bochner-like transform (Definition 15), for time scales. We prove that a function is Stepanov almost periodic if, and only if its Bochner-like transform is almost periodic on time scales (Theorem 1). Then some basic properties can be obtained by applying Bochner-like transform (Remark 8 and Theorem 2). Our results correct the results in [
10] where Bochner transform was used on time scales (Remark 7).
We note that in 2015, Wang and Zhu [
11] introduced Stepanov almost periodicity on time scales in Bohr sense avoiding Bochner transform. However, being lack of Bochner transform, Stepanov almost periodic functions can not inherit some important properties from almost periodic functions directly.
To pave the way to the main results, we give some notions of almost periodic functions and 
-bounded functions, which themselves are important for further study. We first present an equivalent definition of almost periodic function on time scales (Definition 11), where condition “relatively dense in 
” is replaced by “relatively dense in 
”. Then we regularize the norm of 
-bounded functions, where the limits of the integration are fixed (
Section 3.2).
As an application, we give some existence and uniqueness results on the almost periodic solutions to dynamic equations with Stepanov almost periodic terms (Theorems 3 and 4).
  2. Preliminaries
The definitions and results in this section can be taken from [
2,
3,
5,
12,
13,
14,
15]. From now on, 
, 
, 
 and 
 indicate the sets of positive integers, integers, nonnegative real numbers and real numbers, respectively. Let 
, 
 be the Euclidian space 
 or 
 with Euclidian norm 
, 
 and 
 be two Banach spaces, and 
 be an open subset in 
.
Let  be a time scale, namely,  is closed. The forward jump operators , the backward jump operator  and the graininess  are defined by ,  and , respectively. s is called left-scattered if . Otherwise, s is left-dense. Similarly, s is called right-scattered if , Otherwise, s is right-dense.
  2.1. Continuity and Differentiability
Definition 1. - (i) 
-  is continuous on  if f is continuous at every right-dense point and at every left-dense point. 
- (ii) 
-  is uniformly continuous on  if for , there is a  such that  for  with . 
 Denote by ,  and  the sets of all continuous functions, bounded continuous functions and bounded uniformly continuous functions , respectively.  and  are Banach spaces with the sup norm .
If there is left-scattered maximum  in , then ; otherwise . If there is a right-scattered minimum  in , then ; otherwise .
Definition 2. For  and ,  is the delta derivative of g at s if for , there is a neighborhood U of s such that for , Moreover, g is delta differentiable on  provided that  exists for .
   2.2. Measure and Integral
For 
 with 
, Let 
 be the standard intervals in 
. We use the following symbols:
Note that in this paper, we use the above symbols only if .
Let 
. Define a countably additive measure 
 on 
 by assigning to every 
 its length, i.e.,
        
Using 
, we can generate the outer measure 
 on 
 (the power set of 
): for 
,
        
        where 
 and
        
A set 
 is called 
-measurable if for 
,
        
Restricting  to , we get the Lebesgue -measure, which is denoted by .
Definition 3.  is said to be simple if S takes a finite number of values, . Let  [10,14]. Then where  is the characteristic function of , namely  Definition 4. Assume that E is a Δ-measurable subset of  and  is a Δ-measurable simple function given as (1) [14]. Then the Lebesgue Δ-integral of S on E is defined as  Definition 5.  is a Δ-measurable function if there exists a simple function sequence  such that  a.e. in  [10].  Definition 6.  is a Δ-integrable function if there exists a simple function sequence  such that  a.e. in  [10] and Then the integral of g is defined as  Definition 7. For ,  is called locally  Δ-integrable if g is Δ-measurable and for any compact Δ-measurable set  [10], the Δ-integral The set of all locally  Δ-integrable functions is denoted by .
 We remark that all the theorems of normal Lebesgue integration theory are also true for Δ-integrals on .
  3. Notions of Almost Periodic Function and -Bounded Function
To pave the way to the main results, we give some notions of almost periodic functions and -bounded functions, which themselves are important for further study.
  3.1. An Equivalent Definition of Almost Periodic Function
Definition 8. A time scale  is said to be invariant under translations provided that [3]  We have the following result on the structure of .
Lemma 1. Let  be a invariant under translations times scale, and let . Then  iff , and  iff . Moreover,  if , and  if .
 Proof.  If 
, it is clear that 
 and then 
. Then 
 implies 
. If 
, there is at least one right-scattered point. From [
16] (Lemma 3.1), we get that 
 and 
. Then 
 implies 
. Now we need only to prove that 
 if 
. For 
, we get 
 with 
. Since 
, we have that 
. This implies that 
 by the definition of 
K. Thus, 
, and then 
. □
 Remark 1. It is clear that Π is also a time scale. Hereafter we always assume that  is invariant under translations.
 Definition 9.  is called relatively dense in  if there exists  such that . We call l the inclusion length [7].  Definition 10. - (i) 
-  is almost periodic on  if for ,is a relatively dense subset in Π. We call  the ε-translation set of g and α the ε-translation period of g. The set of all almost periodic functions is denoted by . 
- (ii) 
-  is the space consisting of all functions  satisfying that  uniformly for all , here A is any compact subset in Ω. That is, for ,  is a relatively dense subset in Π. 
 Remark 2. Definition 10 (i) corrects the definition of almost periodicity given first in [3]. The correction is replacing the condition “ is a relatively dense subset in ” by “ is a relatively dense subset in Π”. This correction avoids some fatal errors such as the collision when  (Notice that , and  can never be dense in  if ). For more details of this correction we refer the readers to [7]. Definition 10 (ii) can be found in [10].  We note that, to satisfy condition “ is a relatively dense subset in ”, one needs to find the inclusion length l such that  for each . But it is convenient to find the inclusion length l in  and to verify the relative density of  in . This is guaranteed by the following result.
Lemma 2. For ,  is relatively dense in  if and only if  is relatively dense in Π.
 Proof.  If 
, the conclusion is obvious. So by Lemma 1, we only need to consider the case: 
 with 
. If 
 is relatively dense in 
, there exists 
 such that for each 
 we have 
. Let 
 such that 
. Noticing that 
, then for all 
This means that  is a relatively dense subset in .
Assume that 
 is relatively dense in 
, that is, there exists 
 such that 
 and 
 for 
. Let 
. For each 
, there is 
 such that 
. Then
          
Hence,  is a relatively dense subset in . □
 Remark 3. We note that the expression “” in Definition 9 implies that  for each . Moreover, from the proof of Lemma 2, the inclusion length l can be chosen in Π.
 Lemma 2 leads to the following definition of almost periodic function on time scales, which is convenient to be verified and is equivalent to Definition 10 (i).
Definition 11.  is an almost periodic function on  if for every , the ε-translation set of gis a relatively dense subset in .  The following proposition for almost periodicity on time scales is an extension of the corresponding results in [
3,
17] from Euclidian space 
 to 
 or 
, and can be proved similarly. So we omit the details.
Proposition 1. - (i) 
- . 
- (ii) 
-  is a Banach space with supremum norm . 
- (iii) 
-  if and only if for a sequence  there is a subsequence  such that  converges uniformly on  with S a compact subset in Ω. 
- (iv) 
- Let . Then  if and only if there is  such that  for . 
 By Proposition 1 (iv) and the well known fact that  implies that  is a relatively compact set, we get the following result.
Proposition 2.  implies that  is a relatively compact set.
   3.2. Regularization of the Norm of -Bounded Functions
We always assume that 
 afterward without any further mentions. Let
        
        where 
K is as Lemma 1. Define 
 as
        
 is called 
-bounded if 
. The space of all 
-bounded functions is denoted by 
. It is easy to see that 
 is a norm, called Stepanov norm, of 
.
Remark 4. Given  with , we can define another norm on  as follows (see [10,11]): It seems that the norms given by (3) may be different for different . Fortunately, the following result ensures that all the norms given by (3) are equivalent to the one given by (2).  Proposition 3. For  with , there exist  such that  Proof.  If 
, the conclusion is well-known (see [
18]). If 
, by Lemma 1, we have 
. Let 
 with 
. Then 
 for some 
.
          
Thus the conclusion holds with  and . □
 The completeness of 
 is given as the following proposition, which was also mentioned in [
11], and can be proved by the same method as to prove the completeness of 
 in [
19].
Proposition 4.  is a Banach space with norm .
 Remark 5. - (i) 
- We can see easily that  is translation invariant, namely,  if  and . Moreover, we can get easily that  for . 
- (ii) 
- Let . We can verify easily that  and 
   4. Bochner-Like Transform and -Almost Periodic Functions
In this section, we give a revised version of Bochner transform, called Bochner-like transform, for time scales. We first show that Bochner transform is not valid on time scales. Then we give the definition of Bochner-like transform, and prove that the Stepanov almost periodicity of a function is equivalent to the almost periodicity of its Bochner-like transform on time scales. At last, we prove a theorem on the composition of Stepanov almost periodic functions by applying Bochner-like transform.
  4.1. Problems in Bochner Transform on Time Scales
We first recall the Bochner transform and Stepanov almost periodicity on .
Definition 12 ([
20]). 
The Bochner transform  of a function  is defined by ,  For ,  is always regarded as a mapping from  to . i.e.,  is written as  and .
Definition 13 ([
20]). 
 is -almost periodic (or Stepanov almost periodic) if . The space of all these functions g is denoted by  with Stepanov norm . The definition of Stepanov almost periodic on time scales was given in [
11], which was given in Bohr sense avoiding Bochner transform.
Definition 14. - (i) 
-  is -almost periodic on  if given , the ε-translation set of gis a relatively dense set in Π. The space of all these functions is denoted by  with norm . 
- (ii) 
-  is -almost periodic in  if  uniformly for  with S an arbitrary compact subset of Ω. Namely, for ,  is a relatively dense set in Π. The set of all these functions is denoted by . 
 Remark 6. - (i) 
- Definition 14 (i) is a correction of the one introduced in [11], where condition “ is a relatively dense set in ” is replaced by “ is a relatively dense set in Π” (which is equivalent to “ is a relatively dense set in ” by Lemma 2). This correction avoids some fatal errors as shown in Remark 2. Definition 14 (ii) can be found in [10]. 
- (ii) 
- If , one can see easily that Definition 14 (i) is the same as Definition 13. 
- (iii) 
- Let  and . We can verify easily that  for . This yields that . Then  is translation invariant. 
- (iv) 
- To emphasize the exponent p for the ε-translation set of , we also write  instead of . Let . Then  and (4) holds (This was mentioned in [11]). In fact, for  and , it follows from (4) that . This implies that  is a relatively dense set in , and . 
 We note that on 
, by using Bochner transform, Stepanov almost periodic functions inherit some basic properties from almost periodic functions directly. For example, 
 is a Banach space since 
 is a Banach space by Proposition 1 (i). Some more properties obtained by using Bochner transform can be found in [
20]. But on 
, by Definition 14, the same process does not run being lack of Bochner transform.
Therefore it is natural and important to try to define Stepanov almost periodicity on time scales by Bochner transform. Unfortunately, Bochner transform is not valid on time scales. In fact, the aim of using Bochner transform is to get the following conclusion: 
(A)  is equivalent to .
In (A), to make the expression  sense for all , we have to restrict , and then  for . But the following example shows that conclusion (A) is false. Hence Bochner transform is not valid on time scales.
Example 1. Let  and . Then ,  and . On time scale Π, . Let We can check easily that . However, This implies that  by Proposition 1 (ii). Then conclusion (A) is false.
 Remark 7. The integral  with  was used in [10]. This should be corrected to  according to the analysis in [7] (Problem 2). Then norm  is equivalent to  by Proposition 3, and the space  defined by  in [10] is actually . As a result, Conclusion (A) is actually [10] (Lemma 2.10), where  is written by  and  is replaced by . Therefore our result (Theorem 1 below) is a correction of [10] (Lemma 2.10).    4.2. -Almost Periodicity Defined by Bochner-Like Transform
To overcome the problem mentioned in the last subsection, now we revise Bochner transform for general time scales.
If 
, we fix a left scattered point 
. Then for 
, there is a unique 
 such that 
. Let
        
Definition 15. Let . The Bochner-like transform  of g is defined by  for .
 We note that  if . It is easy to see that the Bochner-like transform is linear on . Namely, let  be scalars and , then . Moreover,  is always regarded as a mapping from  to . That is  is written as  and .
Lemma 3. Let  with . Then . Moreover,  Proof.  Let 
. Then
          
That is (
5) holds, and 
. Let 
 with 
, it is easy to see that 
, and then 
. This implies that 
. □
 The following example tells us that if the condition “ is a left scattered point” is replaced by “ is a right scattered point”, the continuity of  may be lost.
Example 2. Let , , and . Then , ,  is right scattered and is not left scattered. Applying Definition 15 to ω, then  and  for , and This implies that  is discontinuous at 1. Indeed, it is easy to verify that  is discontinuous at each  for .
 Furthermore, the following example indicates that Lemma 3 doesn’t hold when .
Example 3. Then . But  is discontinuous at everywhere in . In fact, let . For , there is  such that . Then  for , andwhich yields that  is discontinuous at t.  We see that  does not imply  in Example 3. But we have the following lemma.
Lemma 4. Let . Then
- (i) 
-  if and only if . 
- (ii) 
-  if and only if . 
 Lemma 4 can be got from the following lemma immediately.
Lemma 5. Let . Then  Proof.  Let 
. Then
          
 Now we are ready to give the main result.
Theorem 1.  if and only if .
 Proof.  If 
, 
 by Proposition 1 (ii), and then by Lemma 4, 
. So by Lemma 3, 
 if 
. Meanwhile, by (
5) and (
6), for 
,
          
Thus  if and only if . □
 Let . Then  for . Then by Theorem 1, we have the following corollary.
Corollary 1.  if and only if .
 Theorem 1 ensures that Stepanov almost periodic functions can be defined by Bochner-like transform on time scales.
Definition 16. - (i) 
-  is -almost periodic if . 
- (ii) 
-  is -almost periodic in  if . 
 Remark 8. Space  can inherit some important properties from  directly. For example, it is easy to obtain the following statements by using Bochner-like transform.
- (i) 
-  is a Banach space. 
- (ii) 
-  if and only if for each sequence  there is a subsequence  such that  converges in . 
   4.3. Composition Theorem
Let us begin with a lemma on the uniform almost periodicity.
Lemma 6. Let  and . Then for ,is relatively dense in .  Proof.   means that 
. Let 
 with norm
          
          and 
 be defined by 
, 
. Then 
 is a Banach space. It follows from Proposition 1 (iii) that for each sequence 
 there are a subsequence 
 and 
 such that 
 and
          
Let 
. Then
          
Again by Proposition 1 (iii), 
. Now we invoke Proposition 2 to get that 
 is compact. Then for 
, 
 is relatively dense in 
. Note that (
7) and (
8) imply that
          
Thus  is a relatively dense set in . □
 Remark 9. Let  and . For , we can check easily that . So  in Lemma 6 can be replaced by  for .
 Theorem 2. Assume that ,  and for some , Then .
 Proof.  That is .
Assume that 
. Note that 
 is a relatively compact set. Then for 
, there is a finite set 
 such that
          
          where 
 with 
 denotes an open ball with radius 
a and center 
x. Let
          
Then 
 is relatively dense in 
 by Remark 9. Let 
 and 
, there is 
 such that 
. Thus by (
9),
          
By Remark 5 (i), we have 
 and 
. Hence
          
This implies that 
. Then 
 is relatively dense in 
, and 
. If 
, replacing 
 in (
10) and 
 in (
11) by 
, a slight modification of the above process leads to the same conclusion. □
   5. Dynamic Equations
Applying the results obtained above, we consider the following nonlinear dynamic equation:
	  where 
 and 
A is an 
 continuous matrix function.
We first recall the concept of exponential functions on .  is regressive if . We denote by  the set of all regressive and rd-continuous (i.e., continuous at each right-dense point) functions . Let . The set of regressive functions on time scales is an Abelian group with addition ⊕ given by . Meanwhile, we denote by  the additive inverse of a in the group.
Definition 17. Let . The exponential function is defined aswith the cylinder transformation Here Log indicate the principal logarithm.
 Let matrix 
 be the fundamental solution of the homogeneous linear equation of (
12):
Definition 18. (13) is said to admit an exponential dichotomy on  if there exist a projection P and constants  such that [3]  Note that  for . Then .
Definition 19. A continuous bounded function  is bi-almost periodic if each sequence  has a subsequence  such that  converges uniformly for all .
 We will use the following assumptions later: 
- (H1)
- ( 13- ) admits an exponential dichotomy with projection  P-  and constants  - . 
- (H2)
-  is bi-almost periodic. 
To consider (
12), we consider first the following linear equation:
	  where 
A is as (
12) and 
. We obtain the following theorem.
Theorem 3. Suppose that (H1) and (H2) are satisfied. Then (14) admits a unique almost periodic solution given as  Proof.  By condition (H1) and [
3] (Lemma 4.17), it is easy to verify that 
u given by (
15) is the unique continuous bounded solution of (
14). Now we only need to prove that 
. In fact, for 
, let
        
        with
        
By (H2) and Remark 8 (ii), for each sequence 
, we can find subsequence 
 and functions 
 and 
 such that
        
By (H1), (
16) and Hölder inequality,
        
Thus 
 for each 
. Then 
. Let
        
Similarly, we can prove that . Hence . □
 For nonlinear dynamics Equation (
12), we have the following theorem.
Theorem 4. Suppose that  satisfying (9), (H1) and (H2). Then (12) admits a unique almost periodic solution  satisfyingprovided thatwhere .  Proof.  Let 
. By Theorem 2, we have 
. Define
        
By Theorem 3, 
. That is 
. By (H1), for 
, 
,
        
        where
        
If 
, 
 contains at least one right scattered point. Let 
. Then 
, and it is easy to see that there is a right scattered point 
 satisfying that 
. Then for 
 and 
  contains at least 
 right scattered points with form 
 , and 
. Note that for 
,
        
Similarly, we can prove that
        
Then 
 by (
18). This together with (
19) implies that
        
That is 
T is a contraction operator. Hence 
T admits a unique fixed point 
. Then that (
12) admits a unique almost periodic solution 
u satisfying (
17). □
   6. Conclusions
By using Bochner transform, Stepanov almost periodic functions inherit some basic properties from almost periodic functions. But we show that this old work can not be extended directly to time scales. We revised the classic Bochner transform, and give the Bochner-like transform for time scales. Then the old work can be extended to time scales by using this method. Namely, we prove that a function is Stepanov almost periodic if and only if its Bochner-like transform is almost periodic on time scales. Some basic properties including the composition theorem of Stepanov almost periodic functions are obtained by applying Bochner-like transform. We correct some recent results where Bochner transform was used directly on time scales. Moreover, we apply the results to get some existence results of almost periodic solutions for some dynamic equations with Stepanov almost periodic terms. We expect some more results based on the new method Bochner-like transform in further study.