1. Introduction
Let
and
be the set of all continuous functions on
I. We know
is a metric space consisting of differentiable functions and continuous functions that are not differentiable at certain points in
I. It is well known that the Weierstrass function is an example of continuous functions differentiable nowhere on
I [
1], which are usually called fractal functions, whose graphs have certain uncommon properties. Write
as the graph of the function
on
I. For a fractal function
on
I, its most remarkable feature is that
has fractal dimensions larger than the topological dimension. Therefore, the studies of fractal dimensions of different types of fractal functions have drawn the attention of numerous researchers. In [
2,
3,
4], self-affine curves and the corresponding fractal interpolation functions have been investigated. Barnsley and Ruan have made research on the linear fractal interpolation functions in [
5,
6], respectively. Moreover, there exist certain particular examples of one-dimensional fractal functions discussed in [
7,
8,
9,
10,
11,
12,
13,
14] and two-dimensional fractal functions constructed in [
15,
16]. For Hölder continuous functions, ref. [
17,
18] estimated the Box dimension of their fractional integral.
As is commonly known, the Weierstrass function [
3,
4,
19,
20] and the Besicovitch function [
4,
21,
22] are two typical examples of fractal functions with different fractal dimensions. Here, we present their definitions as follows:
Example 1 ([
3,
4,
19,
20]).
The Weierstrass functionLet . The Weierstrass function is defined as Example 2 ([
4,
21,
22]).
The Besicovitch functionLet . The Besicovitch function is defined as Up to now, the Box dimension of the Weierstrass function has been calculated to be equal to
[
3], although its Hausdorff dimension has not been investigated thoroughly [
23,
24,
25]. In fact, Shen [
26] proved that its Hausdorff dimension is equal to its Box dimension for integer
in Example 1, which can be regarded as a significant advance in estimating Hausdorff dimension of specific functions. In addition, ref. [
4] says that the Box dimension of the Besicovitch function may not exist for suitably chosen
in Example 2, which can be an example of fractal functions that do not always have a Box dimension. However, we know a fractal function must have a lower Box dimension and an upper Box dimension, even if its Box dimension does not exist [
3]. Now, we first give the definitions of lower Box dimension, upper Box dimension and Box dimension as below.
Definition 1 ([
3]).
Let be any bounded subset of and be the smallest number of sets of diameter at most δ, which can cover F. Lower Box dimension and upper Box dimension of F are defined as, respectively,andIf (2) and (3) are equal, we refer to the common value as the Box dimension of F From (
1) and Definition 1, we can write the lower Box dimension, upper Box dimension and Box dimension of the graph of the function
on
I as
respectively. Then, it holds
in Example 1 and
for suitably chosen
in Example 2. Hence, the Box dimension of
always exists, but the Box dimension of
does not always exist. Then, a question is naturally asked:
Question 1. If we choose and satisfyingdoes the Box dimension of still exist? If the Box dimension of does not exist, what can the lower and upper Box dimensions of be, respectively? It is essentially a problem of estimating fractal dimensions of the sum of two continuous functions. Actually, perhaps the first attempt to investigate fractal dimensions of the sum of two continuous functions was made by Wen [
4]. On a fractal conference, Wen [
4] said the possible value of the Box dimension of the sum of two continuous functions under known Box dimensions of these two functions is an interesting and sophisticated problem. Until now, some research achievements of this problem in certain circumstances have been obtained. If these two functions have different Box dimensions, they can be found in [
3]. Wang and Zhang [
27] made research on the case when these two functions have the same Box dimension. Moreover, ref. [
4] shows us the following conclusion when the lower Box dimension of one function is larger than the upper Box dimension of the other one:
Proposition 1 ([
4]).
Let . We havewhen For
, Proposition 1 gives a result for calculating
. However, under the condition of (
4), the estimation of
has not been solved yet. Furthermore, if
, both
and
are unknown. All the above problems will be further explored in the present paper.
For the convenience of discussion, we first introduce the definitions of fractal function sets as follows:
Definition 2. Fractal functions sets.
- (1)
Let be the set of all continuous functions whose Box dimensions exist and are equal to s on I when . That is, is the set of s—dimensional continuous functions on I.
- (2)
Let be the set of all continuous functions whose Box dimensions do not exist on I. Here, are, respectively, the lower and upper Box dimensions of the function on I as .
Remark 1 (Remarks to Definition 2). Here, we give several examples belonging to fractal functions sets defined in Definition 2:
- (1)
The Weierstrass function . The functions constructed in [15,16] belong to . In fact, for , is non-empty. - (2)
The Besicovitch function if we choose a suitable sequence [4]. In fact, for satisfying , is non-empty, as well.
Suppose that and . In this study, we mainly consider the problem of estimating the lower and upper Box dimensions of when . The rest of this paper is organized as follows:
In
Section 2, we acquire a general method to calculate
and
and give several basic results. For the above problem, we prove that
is equal to
. Additionally, an upper bound estimation of
has also been obtained which is
. Then, we present some conclusions of fractal dimensions of the sum of two continuous functions when both of them have Box dimensions.
In
Section 3, we investigate the calculation of
for the above problem by discussing whether
s is one of the accumulation points of
(defined in
Section 2.2) when
or not. If
s is not one of the accumulation points of
when
, we prove that
is equal to
s. If
s is one of the accumulation points of
when
, we find that
could be any number belonging to
. Hence, we arrive at the conclusion that
could be any number belonging to
, which means the above problem has been answered totally.
In
Section 4, we make further research on two other cases when
or
. Their results have been obtained by similar arguments to that in
Section 3. In
Section 5, as the end of the present paper, we give some conclusions and remarks.
2. Theoretical Basis
In
Section 2.1, we give certain preliminary theories for the subsequent research. In
Section 2.2, we put forward a method to calculate the lower and upper Box dimensions of the sum of two continuous functions and prove several basic results. Then, we present some conclusions of fractal dimensions of the sum of two continuous functions whose Box dimensions both exist in
Section 2.3.
2.1. Preliminary
In the present paper, given a function
and an interval
, we write
for the maximum range of
over
as
and denote
as the number of squares of the
-mesh that intersect
.
For , our motivation is to seek the potential results for and . From Definition 1, we can find that the calculation of is key to estimate and . So, in this subsection, we first show several conclusions about .
Suppose that and n is denoted as the largest integer less than or equal to . Now, we divide I into n subintervals written as with equal width .
Since
, the estimation of
can be transformed into the oscillation of
on the above subintervals. We note that the number of mesh squares of side
in the column above the subinterval
that intersect
is no less than
and no more than
Summing over all the subintervals leads to the following estimation of
, which is adopted from ref. [
3].
Lemma 1 ([
3]).
Let . The range of can be estimated as Now, we investigate
. From Lemma 1,
In addition, we know
which is a property for the maximum range of
over
. Hence, the sum of the oscillation of
and
on subintervals can be used to estimate the upper bound of
, that is
From (
5) and (
6), we find that
seems to have a certain connection with
and
. Here, we present an estimation of
as the following theorem, which reveals the relationship among
,
and
.
Theorem 1. Let . The range of can be estimated as Proof. On one hand, it follows from Lemma 1 that
and
On the other hand, similar with (
8),
This completes the proof of (
7). □
Corollary 1. Let . Then, Proof. It follows from Theorem 1 that
Thus, we get Corollary 1. □
Theorem 1 implies that the value of
can be controlled by certain linear combinations of
and
. If we can figure out which of
and
is ‘dominant’ in a certain particular situation, the relationship between
and the ‘dominant’ one of
and
may surface. In other words, we may discover some kind of link between fractal dimensions of
and fractal dimensions of
or
, whose results will be obtained in
Section 2.2.
2.2. Basic Results
For convenience of notation, let
Here,
and
. Then, the lower and upper Box dimensions of
can be written as
respectively. If Box dimension of
exists,
holds naturally.
It is universally acknowledged that may exist or not. Actually, the number of the accumulation points of when is uncertain, which may be finite, countably infinite or uncountably infinite. For , we first define some notations as follows:
- (1)
Let
be the set of all the accumulation points of
when
. Here,
is the index set reflecting the number of the elements in
. Then,
.
- (2)
Let
be the set of all the accumulation points of
when
. Here,
is the index set reflecting the number of the elements in
. Then,
- (3)
For
, we denote
as the set of a subsequence
corresponding to
, which satisfies
Here .
- (4)
For
, we denote
and
as the minimum and the maximum value in the following set:
respectively. Here,
.
Now, we present the following proposition, which provides a calculation of and :
Proposition 2. Let . It holdsand Proof. From the definition of , we know covers all the possible subsequences verging to zero. Namely, contains all the accumulation points of when . This means and are just the minimum and the maximum value in , respectively, which leads to the conclusion of Proposition 2. □
From Proposition 2, we observe that the key work to calculate and is to figure out the values of and . In preparation for the subsequent work, we first prove a conclusion about sequences given in the following lemma.
Lemma 2. Let . For any non-negative sequence satisfying , it holdswhen Proof. Given
, there must exist a certain number
such that
and
when
. Now, we have
Let
. That is
Similarly, we can also obtain
Hence, Lemma 2 holds. □
Now we can acquire several basic results of the lower and upper Box dimensions of the sum of two continuous functions. We begin by presenting the calculation of in the following theorem.
Theorem 2. Let . It holdswhen Proof. On one hand, from Corollary 1,
On the other hand, if
there must exist an index set
such that
Then, it follows from Lemma 2 that for
,
This means
for
. From (
10), we can get
Hence, we can get the conclusion of Theorem 2 by (
11) and (
12). □
Theorem 2 shows the conclusion of upper Box dimension of the sum of two continuous functions. If upper Box dimensions of two continuous functions are not equal, upper Box dimension of the sum of these two functions must be the maximum one. This means a continuous function with smaller upper Box dimension can be absorbed by another continuous function with bigger upper Box dimension.
From Theorem 2, we can immediately get Corollary 2, shown below.
Corollary 2. Let and . If , it holds Next, we study the calculation of
under the condition of (
4). Theorem 3 tells us its conclusion.
Theorem 3. Let . It holdswhen Proof. Then, it follows from Lemma 2 that for
,
This means
for
. From (
9), we can get
So, Theorem 3 holds. □
Now, for
satisfying
we have an upper bound estimation of
as follows.
Corollary 3. Let , . If , it holds Proof. Let
. If we suppose
it means
This is in contradiction with
. Thus,
□
So far, we have resolved a portion of the problem proposed in
Section 1. If
and
satisfying
, we can obtain the results that the upper Box dimension of
is equal to
from Corollary 2 and the lower Box dimension of
is no more than
s from Corollary 3. Therefore, the lower Box dimension of
has not yet been studied thoroughly. In
Section 2.3, to prepare for the further research, we first present several conclusions of sum of two continuous functions if both of them have Box dimensions.
2.3. Sum of Two Continuous Functions Having Box Dimension
Firstly, we consider the sum of two continuous functions with different Box dimensions. The following assertion is adopted from [
3].
Proposition 3 ([
3]).
Let with different Box dimensions. Then, Secondly, Theorems 4 and 5 show the conclusions of the sum of two continuous functions with the same Box dimension that is not equal to one.
Theorem 4. Let with the same Box dimension . If the Box dimension of exists, it could be any number belonging to .
Proof. Here,
is the Weierstrass function given in Example 1, and
could be any number belonging to
. Then, by Proposition 3,
Here,
. In the same way,
From discussion above, we find that Box dimension of exists and could be any number belonging to . □
Theorem 5. Let with the same Box dimension . If the Box dimension of does not exist, Here, and could be any numbers satisfying (13). Proof. Here,
is the Besicovitch function given in Example 2. For suitably chosen
, we have
Here,
and
could be any numbers satisfying (
14). From Theorems 2 and 3,
and
From (
14), we know
and
could be any numbers satisfying (
13). □
Thirdly, in Theorems 4 and 5 if , the result given below holds trivially.
Theorem 6. Let with the same Box dimension one. Then, Proof. On one hand, it follows from (
11) that
On the other hand, we know the lower Box dimension of any continuous functions is no less than one. That is
□
Theorem 6 says that sum of two one-dimensional continuous functions on I can keep the Box dimension closed, which implies that is a linear space. However, we note from Theorems 4 and 5 that is not linear when .
3. Further Research on
For
and
satisfying
,
and an upper bound estimation of
have been obtained in
Section 2. In this section, we make further research on the calculation of
.
When
, there must exist two index sets denoted as
and
, which satisfy
and
For the convenience of discussion, 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.
3.1.
From Lemma 2, we check every element in the set and then obtain the following results.
- (I)
For
, we know
. That is
This means
- (II)
For
, we know
. That is
This means
So, in this case, we can assert that
3.2.
In this case, we first introduce an auxiliary lemma as follows.
Lemma 3. Let and . For any non-negative sequence satisfying , ifthen could be any number belonging to . Proof. In the present paper, we know
is just the set of sequences satisfying the condition of this lemma. For
, we choose any two possible functions
and
with the same Box dimension
s, which means
From Theorem 4, if the Box dimension of
exists, its value could be any number belonging to
. In other words,
could be any number belonging to
. From Theorem 5, if Box dimension of
does not exist,
Here,
and
could be any numbers satisfying (
15). Besides, we know
From 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.
- (a)
For
, since
, we observe that the only different result for
from
F is that
by Lemma 2. However, for other sets
, the results for
are the same as
F. Specially for
,
Here,
could be any number satisfying (
17).
- (b)
For
, since
, the results for
are the same as
F. Specially for
,
Here,
could be any number satisfying (
18).
- (c)
For
, since
, we observe that the only different result for
from
F is that
by Lemma 2. However, 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 the discussion above, we know for
,
and for
,
Here,
could be any number satisfying (
21). From (
20), we note that
. Let
. Thus, for
,
Here,
could be any number satisfying (
22).
This completes the proof of Lemma 3. □
Similarly, we check every element in the set .
- (I)
For
, the result is the same with
Section 3.1, that is
and
- (II)
Here, . Then, it follows from Lemma 3 that could be any number belonging to , which implies that could be any number belonging to .
So, in this case, we can assert that
which means
could be any number belonging to
.
3.3. Conclusions of This Section
From discussion of
Section 3.1 and
Section 3.2, we can obtain the result that
could be any number belonging to
. Hence, we have the following conclusion:
Theorem 7. Let and . If , Here, v could be any number belonging to .
So far, the problems in
Section 1 have been investigated totally. We find that the value of
depends on different situations of the accumulation points of
when
. If
s is one of the elements in
, the value of
can definitely not be equal to
s. However, it may be equal to an arbitrary number belonging to
. If
s is not one of the elements in
, the value of
can only be equal to
s. In particular, if
and
are the only two elements in
, we can directly obtain
.
Furthermore, Lemma 3 shows us a method to seek the relationship between two fractal continuous functions. We find that the same accumulation point of and by the same subsequence is the “bridge” to connect and . If we denote this same accumulation point as s, we also prove that the accumulation points of could be equal to any numbers belonging to by this subsequence.