Abstract
In the present paper, we try to estimate the fractal dimensions of the linear combination of continuous functions with different fractal dimensions. Initially, a general method to calculate the lower and the upper Box dimension of the sum of two continuous functions by classifying all the subsequences into different sets has been proposed. Further, we discuss the majority of possible cases of the sum of two continuous functions with different fractal dimensions and obtain their corresponding fractal dimensions estimation by using that general method. We prove that the linear combination of continuous functions having no Box dimension cannot keep the fractal dimensions closed. In this way, we have figured out how the fractal dimensions of the linear combination of continuous functions change with certain fractal dimensions.
MSC:
28A80; 26A33
1. Introduction
Let be the set of all continuous functions defined on the unit interval . It is well known that is a complete metric space equipped with the following distance
Here . From Baire Category Theorem, we know that a complete distance space must be the second-class set, so is not a sparse set. In fact, is composed of differentiable functions and continuous functions which are not differentiable at certain points in I. By [1,2], there even exist continuous functions differentiable nowhere on I such as the following Weierstrass function.
Example 1
([1,3]). The Weierstrass function
Let. The Weierstrass function is defined as
From [1], the Weierstrass function is a typical example of a continuous function differentiable nowhere on I. By Theorem 2.3.7 in [2], the set of continuous functions in , such as the Weierstrass function given above, which is differentiable nowhere, is non-empty. Furthermore, the coset of this set is the first-class set.
There are many examples such as the Weierstrass function that are continuous functions and differentiable nowhere on I. In [4,5], Self-affine curves and the corresponding fractal interpolation functions have been given. The Besicovitch function has been shown in [6,7]. Barnsley made research on the linear fractal interpolation function in [8]. The examples of continuous functions with the Box dimension two, which are differentiable nowhere on I, can be found in [9,10].
The continuous functions discussed above are usually called as fractal functions. From [11,12], we know they are unbounded variation functions and length of their graphs is infinite. Moreover, their most obvious feature is that they have the fractal dimensions larger than the topological dimension. For example, the Weierstrass function has the Box dimension on I. The definition of the Box dimension of a continuous function has been given as follows.
Definition 1
([1]). Let a continuous function be defined on a closed interval and
be the graph of on . Let be the smallest number of sets of diameter at most δ which can cover . The lower and the upper Box dimension of respectively are defined as
and
From Example 1 and Definition 1,
Meanwhile, self–affine curves and the linear fractal interpolation function always have the Box dimension which are larger than one. In addition, more work about the Box dimension of fractal functions can be found in [13,14,15,16,17].
As is known to all, the linear combination of continuous functions can keep some properties closed, such as the differentiability and variation of functions. Therefore, we naturally think about how the fractal dimensions of the linear combination of continuous functions with certain fractal dimensions change. In [1], if two continuous functions have the different Box dimension, the Box dimension of the sum of these two continuous functions must be the larger one of them. That is, if
then
when both and are continuous on I. If two continuous functions have the same Box dimension, the corresponding conclusion can be found in [18]. Moreover, [6] tells us
when
However, is unknown under the condition of (4). Furthermore, if
the problems will become more complicated.
In this paper, we make further research on the fractal dimensions of the sum of two continuous functions with different fractal dimensions. The majority of possible situations have been summarized in Section 3. We divide the subjects into three broad categories to consider as follows:
- (1)
- Both of two continuous functions have the Box dimension;
- (2)
- One continuous function has the Box dimension but the other one does not have the Box dimension;
- (3)
- Neither of two continuous functions has the Box dimension.
In the first broad category, there exist two situations by whether the Box dimensions of these two functions are equal or not. Both of their conclusions have been shown above. Moreover, we discuss five and seven situations respectively in the second and third broad category by the relationship among the fractal dimensions of these two functions. Using the main method proposed in Section 2, we obtain their corresponding fractal dimensions estimation elementarily. We find that the fractal dimensions of the linear combination of continuous functions with certain fractal dimensions may be equal to arbitrary numbers belonging to a certain interval.
2. Preliminaries
In this section, we give certain basic notations and results. First of all, we put forward a general method to calculate and in Section 2.1.
2.1. Main Method
Let
Here . Then the lower Box dimension, the upper Box dimension and the Box dimension of can be respectively written as
, and .
It is well known that may or may not exist. In fact, the number of the accumulation points of when is uncertain. For , now we denote as the set of all the accumulation points of when and as the set of all the accumulation points of when . Here, and are two index sets reflecting the number of elements in and respectively. At this time, we know
and
For , we denote as the set of a subsequence corresponding to which satisfies
Here .
Now we denote and as the minimum and the maximum value in the following set
respectively. It is obvious that contains all possible subsequences. In other words, contains all the accumulation points of when . This means and are the minimum and the maximum value in the set , respectively. Hence, we can obtain a calculation of and , that is
and
2.2. Basic Lemmas
Given a function and an interval , we write for the maximum range of over as
With (7), we can obtain the following lemma.
Lemma 1
([1]). Let . Suppose that , and n is the least integer greater than or equal to . The range of can be estimated as
For , by simple discussion, we can obtain the relationship among , and , that is
Then an estimation of has been presented as Lemma 2 which reveals the relationship among , and .
Lemma 2.
Let . The range of can be estimated as
Proof.
On one hand, it follows from Lemma 1 that
and
On the other hand, it easily follows from (8) that
That is
This completes the proof of Lemma 2. □
Lemma 2 indicates that the value of can be controlled by certain linear combinations of and , which implies that seems to have some kind of connection with and . To figure out the values of and , we first introduce the following essential lemma which shows a conclusion about sequences.
Lemma 3.
Let . For any nonnegative sequence satisfying , it holds
when
Proof.
This follows easily from Definition 1 and Lemma 2. So the proof is omitted. □
2.3. Two Elementary Results
With preparatory work, now we show two elementary results for the fractal dimensions of the sum of two continuous functions in this subsection. If the upper Box dimensions of two continuous functions are not equal, we have the first elementary result giving a calculation of the upper Box dimension of the sum of these two functions as below.
Theorem 1.
Let . It holds
when
Proof.
On one hand, it follows from Definition 1 and Lemma 2 that
Thus
On the other hand, if
there must exist an index set such that
Thus for ,
Then it follows from Lemma 3 that for ,
This means for . From (6), we obtain
If
similarly, we can obtain
Thus
when
Next, we prove the second elementary result for the lower Box dimension estimation of the sum of two continuous functions. If the upper Box dimension of one function is less than the lower Box dimension of another function, the following theorem tells us the conclusion.
Theorem 2.
Let . It holds
when
Proof.
In this situation, for ,
Then it follows from Lemma 3 that for ,
This means for . From (5), we obtain
This completes the proof of Theorem 2. □
From Theorems 1 and 2, we find the upper Box dimension estimation of the sum of two continuous functions has a ‘good’ conclusion. It implies that a continuous function with smaller upper Box dimension can be absorbed by another continuous function with larger upper Box dimension. However, results for the lower Box dimension estimation of the sum of two continuous functions are not so ‘good’ relatively.
Up to now, we can only figure out the case when the upper Box dimension of one function is less than the lower Box dimension of another function. Theorem 2 shows that the lower Box dimension of the sum of two continuous functions is equal to the maximum one of the lower Box dimensions of these two functions under the condition of (4). If the upper Box dimension of one function is no less than the lower Box dimension of another function, we will further discuss this situation in the next section.
3. The Linear Combination of Two Functions with Different Fractal Dimensions
Let . For , the linear combination of and can be written as
Thus the sum of and means in (13) as . From Definition 1, we know if the Box dimension of does not exist, the upper and the lower Box dimension of must exist. For the convenience of discussion, we first give the definition of fractal functions set.
Let be the set of all continuous functions whose Box dimension exists and is equal to s on I when . That is, is the set of dimensional continuous functions on I. For example, the Weierstrass function . The functions constructed in [9,10] belong to . In [19], we can find a special fractal function belonging to . In fact, for , is a non-empty set.
Let be the set of all continuous functions whose Box dimension does not exist on I. Here, are, respectively, the lower and the upper Box dimension of the function on I as . For example, the Besicovitch function for suitably chosen [6]. In addition, for satisfying , is a non-empty set, either.
3.1. and
Since and , both and have the Box dimension on I. At this time, we mainly discuss two situations. One is that and have the same Box dimension. The other condition is that and have the different Box dimension.
3.1.1. for
If and have the different Box dimension, we have the following assertion adopted from [1,18].
Theorem 3
([1,18]). Let and . Then
Theorem 3 tells us that the Box dimension of the sum of two continuous functions with the different Box dimension exists and is equal to the larger one of the Box dimensions of these two functions. This conclusion indicates that a continuous function with smaller Box dimension can be absorbed by another continuous function with bigger Box dimension.
3.1.2.
If and have the same Box dimension s, we should discuss two situations by whether s is equal to one or not. If , we have the following assertion adopted from Ref. [18].
Theorem 4
([18]). Let and .
- (1)
- If the Box dimension of exists, it may be any number between one and s.
- (2)
- If the Box dimension of does not exist,
Here, and could be any numbers satisfying (14).
Theorem 4 shows that the Box dimension of the sum of two continuous functions with the same Box dimension s which is not equal to one may exist or not. Even if the Box dimension of the sum of these two functions exists, its value could be any number between one and s. If the Box dimension of the sum of these two functions does not exist, its lower and upper Box dimension could be any numbers between one and s.
If , the conclusion given below holds trivially, which implies that is a linear space.
Theorem 5.
Let . It holds
Proof.
On one hand, by (11),
On the other hand, we know the lower Box dimension of any continuous functions is no less than one. That is
Thus
□
3.2. and
Since and , the Box dimension of does not exist but the Box dimension of exists. At this time, we mainly discuss five situations according to the relationship among s, and as the following subsections.
3.2.1.
It is obvious that
and
So we can directly acquire the conclusion that
by Theorem 1 and
by Theorem 2. It means
That is
3.2.2.
Similar argument with that of Section 3.2.1,
3.2.3.
From Theorem 1, we have
Now we make research on . In this situation, there must exist two index sets denoted as and such that
and
For the convenience of discussion, we write . Here . Since , the element s may belong to or not. In other words, may be equal to s or not. So we should discuss two cases as follows.
Case 1:
From Lemma 3, we check every element in the set and then obtain the following results.
(I) For , we know . That is
Thus
This means
(II) For , we know . That is
Thus
This means
So in this case, we can assert that
Case 2:
Similarly, we check every element in the set .
(I) For , the result is the same with Case 1, that is
and
(II) For ,
Here . Now we choose any two possible functions and with the same Box dimension s, which means
From Theorem 4, if Box dimension of exists, its value could be any number between one and s. In other words, could be any number between one and s. If Box dimension of does not exist,
Here, and could be any numbers satisfying (15). Furthermore, we know
From the arbitrariness of and satisfying (15),
Here, could be any number satisfying (16). Let . Then we investigate the connection between and .
It is obvious that for ,
For , now we define as the set of satisfying
For , we note that we only change the limitation of from s to when for . For the convenience of notation, we denote this transformation as
Write . Then we can acquire a series of transformations . We find that can be divided into three different categories in terms of different effects on F, which have been discussed as follows.
Transformation 1. For , since , we observe that the only different result for from F is that
by Lemma 3. But for other sets , the results for are the same as F. Specially for ,
Here, could be any number satisfying (17).
Transformation 2. For , since , the results for are the same as F. Specially for ,
Here, could be any number satisfying (18).
Transformation 3. For , since , we observe that the only different result for from F is that
by Lemma 3. But for other sets , the results for are the same as F. Specially for ,
Here, could be any number satisfying (19).
Now we do all the transformations on F denoted as . Define as the set of . From discussion above, we know for ,
and for ,
Here, could be any number satisfying (22). This means could be any number satisfying . So in this case, we can assert that
which implies that could be any number satisfying
From discussion of Cases 1 and 2, we can come to the conclusion that could be any number satisfying
So when ,
Here, v could be any number belonging to .
3.2.4.
It follows from (11) that
Let . If we suppose
we can obtain
by Theorem 2. This is in contradiction with . Thus
Then we investigate . In this situation, we know
For the convenience of discussion, we write . Similar argument with that in Section 3.2.3, we can obtain the following results.
(I) For , we have .
(II) For ,
Here, . We note that Theorem 4 also holds for . In the same way with Case 2 in Section 3.2.3, we can conclude that could be any number satisfying .
So we can assert that
which implies that could be any number satisfying
Hence,
Here, v could be any number belonging to .
3.2.5.
It follows from Theorem 1 that
For , in this situation, we know
Write . Using a similar argument as that in SubSection 3.2.3, we can obtain the following results.
(I) For , .
(II) For , we should discuss two cases according to whether s is equal to one or not.
Case 1:
In this case,
Here, . In the same way with Case 2 in Section 3.2.3, we know could be any number satisfying .
So we can assert that
which means could be any number satisfying
Thus
Here, v could be any number belonging to .
Case 2:
In this case,
From Theorem 5 and in the same way with Case 2 in Section 3.2.3, we can obtain .
So we can assert that
Thus
3.3. and
Since and , neither nor has the Box dimension. Here, we denote and as the minimum and the maximum value, respectively, in the following set
At this time, we mainly discuss seven situations according to the relationship among , , and as the following subsections.
3.3.1.
Similar discussion with that of Section 3.2.1,
3.3.2.
It follows from Theorem 1 that
Then we investigate . In this situation,
Write . Now we check every element in the set .
(I) For , we know . That is
From Lemma 3,
This means .
(II) For , we discuss two cases according to whether belongs to or not as follows.
Case 1:
In this case,
Combining (23), we obtain
Case 2:
In this case, there must exist a subset such that
Similar discussion with that of Case 2 in Section 3.2.3, we know could be any number satisfying
Now we consider two situations as follows:
(i) When , we know could be any number satisfying . So in this situation, we can assert that
which means could be any number satisfying
(ii) When ,
From Lemma 3,
Combining (24), we obtain
which means could be any number satisfying . Hence, the result in this situation is the same with (i).
From discussion of Case 1 and 2, we can come to the conclusion that could be any number satisfying
Thus
Here, v could be any number belonging to .
3.3.3.
It follows from Theorem 1 that
Then we investigate . In this situation, there must exist two index sets denoted as and such that
and
Write . Here, . Now we check every element in the set .
(I) For , we know . That is
From Lemma 3,
This means .
(II) For , we discuss two cases as follows.
Case 1: for
In this case, we check every element by similar discussion with that of s in Section 3.2.3. It is clear that may be equal to or not. So we should discuss two situations.
(i) When , for ,
This means for . Combining discussion in (I), we can assert that
Therefore, we find that the value of depends on different situations of accumulation points distribution of and when . Since choices of and with different situations of which are arbitrary, it means could be any number satisfying
and could be any number satisfying
Hence, we can deduce that could be any number satisfying
(ii) When , the only result different from (i) is
This means . At this time,
Here, could be any number satisfying
.
Moreover, could be any number satisfying
Hence, we can deduce that could be any number satisfying
Case 2: such that
In this case, we denote as the set of all the numbers satisfying . It is obvious that is non empty. For , there must exist a subset such that
Similar discussion with that of Case 2 in Section 3.3.2, we know could be any number satisfying . Combining the results obtained in (I) and Case 1, we can assert that
From (25), we find that the value of also depends on different situations of the number of the same accumulation points of and by the same subsequence. Since choices of and with different situations of which are arbitrary, the numbers in are arbitrary belonging to . Now we investigate all the possible values of . There exist two situations we should discuss according to whether belongs to or not.
(i) When , we know could be any number satisfying . For , could be any number satisfying . Since , we can deduce that could be any number satisfying
Furthermore, we note that
which implies that could be any number satisfying
Moreover, observe that could be any number satisfying
and could be any number satisfying
Combining (25) and the above discussion, we can conclude that could be any number satisfying
(ii) When , we know . This means
For , could be any number satisfying . Since , we can deduce that could be any number satisfying
Then similar with (i), we can obtain the result that could be any number satisfying
From discussion of Cases 1 and 2, we can come to the conclusion that could be any number satisfying
Thus
Here, v could be any number belonging to .
3.3.4.
It follows from Theorem 1 that
Then we investigate . In this situation,
Write . Similarly, we discuss two cases as follows:
Case 1: for
Similar argument with Case 1 in Section 3.3.3, we know for ,
This means for . Thus
Case 2: such that
Similar argument with Case 2 in Section 3.3.3, we know could be any number satisfying
which means could be any number satisfying
From discussion of Cases 1 and 2, we can come to the conclusion that
Here, v could be any number belonging to .
3.3.5.
It follows from Theorem 1 that
Then we investigate . In this situation,
Write . Similarly, we discuss two cases as follows:
Case 1: for
This means and for . At this time,
Here, we note that could be any number satisfying
and could be any number satisfying
Hence, we can deduce that could be any number satisfying
Case 2: such that
Similar argument with Case 2 in Section 3.3.3, we can obtain the result that could be any number satisfying
which means could be any number satisfying
From discussion of Cases 1 and 2, we can come to the conclusion that
Here, v could be any number belonging to .
3.3.6.
In this situation, there must exist two index sets denoted as and such that
and
We note that the only difference between this situation and that in Section 3.3.3 is that . Similar argument with Section 3.3.3, we can obtain the same conclusion as Section 3.3.3 that could be any number satisfying
Then we investigate . From (11),
Write . Here, . Now we discuss two cases according to whether belongs to or not as follows.
Case 1:
In this case, it follows from Lemma 3 that
This means . Thus
Combining (26), we obtain
Case 2:
In this case, we check every element in the set as follows.
(I) For , we know . From Lemma 3,
This means . Here, could be any number satisfying .
(II) For , there must exist a subset such that
Here, . Now we choose any two possible functions and with the same Box dimension , which means
From Theorem 4, if the Box dimension of exists, its value could be any number between one and . In other words, exists and its value could be any number between one and . If the Box dimension of does not exist,
Here, and could be any numbers satisfying (27). Also, we know
From arbitrariness of and satisfying (27),
Here, could be any number satisfying (28). Similar argument with Case 2 in Section 3.2.3, we can also obtain the similar result with (22) that
Here, could be any number satisfying (29). Similar discussion with Case 2 in Section 3.3.2, now we consider two situations as follows:
(i) When , could be any number satisfying .
(ii) When ,
From Lemma 3,
Combining (29), we obtain .
From (i) and (ii), we know could be any number satisfying .
(III) For , may belong to or not. Similar with the previous discussion, we can obtain the result that could be any number satisfying or . Here, could be any number satisfying . This means could be any number satisfying .
Hence, combining (I), (II) and (III), we can assert that
From all the possible values of and given above, we can conclude that could be any number satisfying
From discussion above, we observe that the Box dimension of may exist or not. Here, we explore the possibility of the situation when the Box dimension of exists. We give several particular situations below to illustrate that could be any number belonging to .
Situation I We choose two functions and satisfying the following conditions:
- (1)
- and are the only two elements in the set ;
- (2)
- is the only one element in the set ;
- (3)
- is the only one element in the set .
In this situation, we note that
Thus
and
That is
Situation II We choose two functions and satisfying the following conditions:
- (1)
- Three are only three elements , , in the set . Here, , and could be any number belonging to ;
- (2)
- is the only one element in the set ;
- (3)
- is the only one element in the set ;
- (4)
- is the only one element in the set .
In this situation, it is obvious
From the previous discussion, we know may exist and its value could be any number between one and , which means its value could be equal to . Let
That is
Thus
and
So
which means could be any number belonging to .
Situation III We choose two functions and satisfying the following conditions:
- (1)
- and are the only two elements in the set ;
- (2)
- is the only one element in the set ;
- (3)
- is the only one element in the set .
In this situation, it is obvious
From the previous discussion, we know may exist and its value could be any number between one and , which means its value could be equal to . Let
That is
Thus
and
That is
From these three situations above, we find that could be any number belonging to .
Therefore, when , we can come to the conclusions as follows:
- (1)
- If the Box dimension of exists,Here, u could be any number belonging to .
- (2)
- If the Box dimension of does not exist,Here, could be any numbers satisfying or .
3.3.7.
In this situation,
Now we discuss two cases according to whether is equal to one or not as follows.
Case 1:
In this case, we can similarly obtain the same conclusion as Section 3.3.5 that could be any number satisfying
Moreover, for , the result is similar with that for in Section 3.3.6, that is could be any number satisfying . This means could be any number satisfying
Then similar with Section 3.3.6, we explore the possibility of the situation when the Box dimension of exists. We give several particular situations below to illustrate that could be any number belonging to .
Situation I We choose two functions satisfying the following conditions:
- (1)
- and are the only two elements in the set ;
- (2)
- is the only one element in the set ;
- (3)
- is the only one element in the set .
Similar with Situation I in Section 3.3.6, we have
Situation II We choose two functions satisfying the following conditions:
- (1)
- Three are only three elements , , in the set . Here, , and could be any number belonging to ;
- (2)
- is the only one element in the set ;
- (3)
- is the only one element in the set ;
- (4)
- is the only one element in the set .
Similar with Situation II in Section 3.3.6, we know could be any number belonging to .
Situation III Let
We choose and . Here, s could be any number belonging to . Then
and
by Theorem 1 and 2. Thus the Box dimension of exists and could be any number belonging to .
From these three situations above, we find that could be any number belonging to . In addition, we indicate that it is impossible for to equal . Let
Here, we choose and . From Case 1 in Section 3.2.5, we know could be any number belonging to . This is in contradiction with .
So when , we can come to the conclusions as follows:
- (1)
- If the Box dimension of exists,Here, u could be any number belonging to .
- (2)
- If the Box dimension of does not exist,Here, could be any numbers satisfying .
Case 2:
In this case, combining Case 2 in Section 3.2.5 and Case 1 in the present subsection, we can directly obtain the following conclusions.
- (1)
- If the Box dimension of exists,Here, u could be any number belonging to .
- (2)
- If the Box dimension of does not exist,Here, could be any numbers satisfying .
4. Main Results
In this section, we sum up the conclusions of all the cases we have discussed in the last section. For and , we know
when . Hence, we can obtain the results for the fractal dimensions of the linear combination of continuous functions denoted by (13). Theorem 6 shows the conclusions of the cases when one continuous function has the Box dimension but the other one does not have the Box dimension. Moreover, Theorem 7 shows the conclusions of the cases when neither of two continuous functions has the Box dimension.
Theorem 6.
Let and be any nonzero real numbers.
- (1)
- If ,
- (2)
- If ,
- (3)
- If ,
- (4)
- If ,
- (5)
- If ,
- (6)
- If ,
Remark 1
(Remarks to Theorem 6). In Theorem 6 if and ,
If and ,
And if , is of bounded variation on I as
Theorem 7.
Let and be any nonzero real numbers.
- (1)
- If ,
- (2)
- If ,
- (3)
- If ,
- (4)
- If ,
- (5)
- If ,
- (6)
- If ,
- (7)
- If ,
- (8)
- If ,
Remark 2
(Remarks to Theorem 7). In Theorem 7 if and ,
If and ,
And if , is of bounded variation on I as
5. Conclusions
Throughout the present paper, we mainly investigate the fractal dimensions estimation of the linear combination of continuous functions. The work in this paper can be summarized as the following four aspects:
- (1)
- We put forward a general method to calculate the lower and the upper Box dimension of the sum of two continuous functions by classifying all the subsequences into different sets, which is the key work in the present paper.
- (2)
- We acquire several basic results for the lower and the upper Box dimension of the sum of two continuous functions in certain situations. If the upper Box dimensions of two continuous functions are not equal, the upper Box dimension of the sum of these two functions is equal to the maximum one of the upper Box dimensions of these two functions. If the upper Box dimension of one function is less than the lower Box dimension of another function, the lower Box dimension of the sum of these two functions is equal to the maximum one of the lower Box dimensions of these two functions.
- (3)
- We discuss the majority of possible cases of the sum of two continuous functions with different fractal dimensions. We divide the subjects into three broad categories to consider as follows:
- (i)
- Both of two continuous functions have the Box dimension;
- (ii)
- One continuous function has the Box dimension but the other one does not have the Box dimension;
- (iii)
- Neither of two continuous functions has the Box dimension.
Moreover, we obtain their corresponding fractal dimensions estimation by using the main method proposed in Section 2 and sum up the results for all the cases discussed above in the end. - (4)
- We find that the space which is consist of all continuous functions without Box dimension is not linear. We also find the fractal dimensions of the linear combination of continuous functions with certain fractal dimensions may be equal to arbitrary numbers belonging to a certain interval.
Meanwhile, there still exist several points worthy of improvement and further research in the present paper. We should point out that our results for fractal dimensions estimation are only based on theoretical analysis. However, specific examples of fractal functions should be given to support our theoretical results. People could make further research on this problem by carrying out the numerical simulation choosing specific examples of fractal functions with different fractal dimensions, which will make our argument more convincing.
Up to now, how the fractal dimensions of the linear combination of continuous functions with certain fractal dimensions change has been investigated only elementarily. We find that the linear combination of continuous functions cannot keep the fractal dimensions closed unless these two functions have the same Box dimension one. To further study fractal functions spaces, we finally propose the following problem that should be considered in the future:
Question. What can the fractal dimensions of the product of two continuous functions be? Under what circumstances can the product of two continuous functions keep the fractal dimensions closed?
People could discuss this question by a similar classification of the fractal dimensions of two continuous functions with the present paper. Then, three fundamental operations of addition, scalar multiplication and multiplication imposed on fractal functions spaces will be studied totally.
Author Contributions
Conceptualization, B.Y. and Y.L.; methodology, B.Y.; validation, Y.L.; formal analysis, B.Y.; investigation, B.Y.; resources, Y.L.; writing—original draft preparation, B.Y.; writing—review and editing, B.Y. and Y.L.; funding acquisition, Y.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by National Natural Science Foundation of China (Grant No. 12071218), Natural Science Foundation of Jiangsu Province (Grant No. BK20161492) and the Fundamental Research Funds for the Central Universities (Grant No. 30917011340).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No data were used to support this study.
Acknowledgments
The authors thank Nanjing University of Science and Technology, for partially supporting this study.
Conflicts of Interest
The authors declare no conflict of interest.
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