Best -term approximation of diagonal operators and application to function spaces with mixed smoothness
Abstract
In this paper we give exact values of the best -term approximation widths of diagonal operators between and with . The result will be applied to obtain the asymptotic constants of best -term approximation widths of embeddings of function spaces with mixed smoothness by trigonometric system.
Keywords and Phrases: diagonal operator, best -term approximation, mixed smoothness, asymptotic constant, dimensional dependence
Mathematics Subject Classification 2020: 41A44, 41A45, 41A60, 42A10, 47B06
1 Introduction
Nowadays, it is well understood that nonlinear methods of approximation and numerical methods derived from them often produce superior performance when compared with linear methods. In the last three decades there has been a great success in studying nonlinear approximation which was motivated by numerous applications such as numerical analysis, image processing, statistical learning as well as in the design of neural networks. We refer the reader to [13, 14, 15] for the development of nonlinear approximation and its application.
In the present paper we concentrate on a particular nonlinear method, the so-called best -term approximation. Our particular interest is exact values of best -term approximation of diagonal linear operators from to . The exact values of approximation quantities of diagonal operators play an important role in high-dimensional approximation and particularly in studying tractability, see, e.g., [7, 24, 25, 26]. In this paper, the exact values of best -term approximation of diagonal operators will be applied to get the asymptotic constants of best -term approximation of function spaces with mixed smoothness by trigonometric system.
Let , be Banach spaces and a continuous linear operator from to . Let be a given countable set in , called dictionary. For given we consider the algorithm to approximate by a finite linear combination of elements contained in this dictionary. The error of this approximation is
We wish to approximate for all in the closed unit ball of with respect to the dictionary . This can be measured by the following benchmark quantity
In what follows, we shall call this quantity the best -term approximation width.
Let , , be the classical complex sequence space with the usual (quasi) norm. For and positive non-increasing sequence , consider the diagonal linear operator
(1.1) |
from to and where . We are concerned with the exact value of . The first result in this direction was given by Stepanets [34] in the case with the condition . Later Stepanets generalized his result to the case , see [35]. Under the same condition but by different approach, Gensun and Lixin [17] also obtained exact value of in the case . In this paper we give exact values of the best -term approximation widths , , in all cases. We also show that the condition in the case is not necessary. Our main result reads as follows. If , then we have
where is the smallest integer such that
In the case and the series converges, we get
where is the largest integer such that
The limiting cases or and/or are also obtained, see Theorem 2.1.
The above results will be applied to study best -term approximation of embedding of function spaces with mixed smoothness by trigonometric system on the torus of dimension . Our motivation stems from high-dimensional approximation which has been the object of an intensive study recently. In many high-dimensional approximation problems when the high-dimensional signals or functions have appropriate mixed smoothness, one can apply efficiently approximation methods and sampling algorithms constructed on sparse grids to obtain tractability for algorithms or numerical methods. We refer the reader to the monographs [27, 28] for concepts of computation complexity and results on high dimensional problems. Survey on various aspects of high-dimensional approximation of functions having mixed smoothness can be found in the recent book [12].
There has been a numerous papers working on best -term approximation of embeddings of function spaces with mixed smoothness by different dictionaries. For instance, Bazarkhanov [2], Dinh Dũng [8, 10, 11], Kashin and Temlyakov [23], Romanyuk [31, 32], Romanyuk and Romanyuk [33], Temlyakov [36, 37, 39, 40] worked on trigonometric system; Hansen and Sickel [1, 9, 19, 20] on wavelet system. For some recent contributions in this direction we refer to [3, 5, 41, 42]. Historical comments and further references for studies of best -term approximation of function spaces with mixed smoothness can be found in the two recent books [12, Chapter 7] and [38, Chapter 9]. Let us emphasize here that all the above mentioned papers worked only on the asymptotic order of best -term approximation widths of embeddings of function spaces with mixed smoothness. The asymptotic constants and pre-asymptotic estimates of this quantity have not been considered.
Let and . This paper considers the best -term approximation of embedding of Sobolev space with mixed smoothness on the torus into either or Wiener space . In this context we will not only investigate the optimal order of the decay of the best -term approximation widths but we will determine the asymptotic constant as well. This sheds some light not only on the dependence on , but also on the dependence on and in particular on . We have
and if
In this paper we also obtain the asymptotic constants of best -term approximation widths of embeddings of Sobolev spaces with mixed smoothness into the energy norm space . Those embeddings are of particular importance with respect to the numerical solution of the Poisson equation, see [4]. In this case, with we get
where
The paper is organized as follows. In Section 2 we collect some properties of best -term approximation widths and give exact values of best -term approximation widths of diagonal operators. The next Section 3 is devoted to the study of asymptotic constants of best -term approximation widths of embeddings of weighted classes . These results will be used in final Section 4, where we deal with the particular family of weights associated to function spaces of dominating mixed smoothness.
Notation
As usual, denotes the natural numbers, the non-negative integers, the integers, the real numbers, and the complex numbers. We denote by the torus, represented by the interval , where the end points of the interval are identified. For a real number we denote by the greatest integer not larger than . The letter is always reserved for the dimension in , , , , and . For two Banach spaces and , denotes the set of continuous linear operators from to . If and are two sequences, the symbol , indicates that . The equivalence means that there are constants such that for all .
2 Best -term approximation widths of diagonal operators
This section is devoted to give exact values of the best -term approximation widths of the diagonal operator defined in (1.1). Let be Banach spaces, , and a dictionary. By definition, it is clear that is a non-increasing sequence. If are Banach spaces and , then we have
(2.1) |
A proof of this fact can be found in [5, Lemma 6.1]. For further properties of the best -term approximation widths such as additivity, interpolation we refer the reader to [18, 5, 42]. In fact the best -term approximation widths belong to the notion of pseudo -numbers introduced by Pietsch, see [42].
Let be the diagonal operator from to defined in (1.1). By definition we have
(2.2) |
where is the closed unit ball of and is an arbitrary subset of with elements. In the following we give exact value of with . The proof is mainly based on the exact values of -term approximation widths of the diagonal operators from to obtained by Gao in [16]. Here stands for equipped with the usual norm . For a vector with the diagonal operator from to is defined by . Let be the standard basis of . If and we have
(2.3) |
where is the closed unit ball of and is an arbitrary subset of with elements. For we define where . When the summation in (2.3) is replaced by supremum.
Note that if satisfying and for , then
which were obtained in [16]. Therefore, we only consider the operator where is a positive sequence. Our main result in this section reads as follows.
Theorem 2.1.
Let and be a positive non-increasing sequence. Let be defined in (1.1) and .
- (i)
-
If we have
Moreover, if either or then
where is the smallest integer such that
- (ii)
-
If and the series converges, then we have
(2.4) where is the largest integer such that
(2.5) - (iii)
-
If then
- (iv)
-
If and the series converges then
- (v)
-
If then
As mentioned in Introduction, the exact values of , , in the case were obtained in [34, 35, 17] under the condition . To prove the above theorem, we need some auxiliary results.
Lemma 2.2.
Let and be a positive non-increasing sequence. Then for , there is such that
(2.6) |
Moreover, can be chosen as the smallest integer such that
Proof.
We first show that exists. The case was already considered in [35]. We prove the case . We will show that there exists such that
(2.7) |
for and as a consequence we obtain (2.6) for some . Observe that if for some we have
We also have
Therefore
if
We turn to the second statement. Assume
(2.8) |
for some , . Such exists by the first statement. We will prove
(2.9) |
by showing that
(2.10) |
Putting and we consider the function We have
and if
Assume
(2.11) |
Observe that the condition (2.8) implies From this and (2.11) we get
But this is a contradiction since is a strictly decreasing function on and . Consequently, is decreasing on . This proves (2.10) and (2.9) follows. ∎
Lemma 2.3.
Let be a positive increasing sequence and . Let and be the largest integer such that
(2.12) |
Then is finite and for any the inequality (2.12) holds true.
Proof.
First of all, observe that satisfies (2.12). If and satisfies (2.12) we can write
Observe that the term tends to zero when . Consequently is finite. Assume
(2.13) |
for some , . Then we have
This shows that the inequality (2.13) is satisfied with being replaced by and therefore is satisfied with any , . As a consequence we conclude that for any the inequality (2.12) holds true. ∎
We are now in position to prove Theorem 2.1.
Proof.
Step 1. Proof of (i). Given . For any we take (depending on ) such that
Then we have
(2.14) |
The first term on the right side can be estimated as follows
(2.15) |
see (2.3). It has been proved in [16] that
(2.16) |
Hence we get
Since , for the second term we have
Consequently we obtain
Observe that the right-hand side is independent of and is arbitrarily small. In view of (2.2) we obtain the upper bound.
We now give a proof for the lower bound. Take arbitrarily large and consider the following diagram
where
We have and which by property (2.1) implies
Using (2.16) again we deduce
Since is arbitrarily large, we obtain the lower bound. The second statement follows from Lemma 2.2.
Step 2. Proof of (ii). First note that is finite by Lemma 2.3. Let . We choose such that
For , we use the estimate (2.14). Applying Hölder’s inequality we get
which by (2.14) implies
see (2.15). Using the result in [16] for the case
and following the argument as in Step 1 we obtain the upper bound. The lower bound is carried out similarly as Step 1 with . The other cases are proved similarly with a slight modification. ∎
3 Best -term approximation of function classes
Let be the dimensional torus. We equip with the probability measure . In this section we study the asymptotic constants of best -term approximation widths of embeddings of the weighted function classes by trigonometric system . For a function , its Fourier coefficients are defined as
Hence, it holds for any that
Let be a sequence of positive numbers. Those sequences we will call a weight in what follows. For we introduce the class as the collection of all functions such that
When for all we use the notation instead of . In this case we get back the space when and the classical Wiener algebra when .
We suppose that
(3.1) |
In what follows we denote the non-increasing rearrangement of the sequence by . Observe that is compact if and only if In fact we have
where is the -th approximation number (linear width) of the operator , see [25]. Recall that for two Banach spaces , and , the -th approximation number of is defined as
We have the following embedding property of the class .
Lemma 3.1.
Let and be a weight satisfying (3.1). Then the operator is continuous if either or and the series converges.
Proof.
If and , applying Hölder’s inequality we get
This proves the case . The case is obvious. ∎
Our result for the best -term approximation of the embedding by the trigonometric system reads as follows.
Theorem 3.2.
Proof.
We consider the following commutative diagram
where the linear operators , and are defined as
It is obvious that . Let where . By the property (2.1) and the identity it follows
From the fact that
(3.2) |
we obtain the estimate from above. Now we employ the same type of arguments with respect to the diagram
It is easy to see that the operators and are invertible and that . As above we conclude
Now the estimate from below follows from (3.2). ∎
We need following auxiliary results.
Lemma 3.3.
- (i)
-
Let , , and . Then we have
- (ii)
-
Let , . Then we have
Proof.
The first statement was proved in [26]. We prove the second one with concentration on the case since the case is obvious. We consider the sequence of functions
Clearly, this sequence converges pointwise to . For , from the inequality , for some , we derive:
Since is integrable on , the desired result follows from Lebesgue’s dominated convergence theorem. ∎
The asymptotic constants of best -term approximation widths of embeddings of the classes in are given in the following theorem.
Theorem 3.4.
Let , and let be a given weight. Assume that there exists such that
(3.3) |
- (i)
-
If we have
If and/or , the asymptotic constant is understood as the limit of the right-hand side when and/or .
- (ii)
-
If and we have
Proof.
We prove the case . The cases and/or are carried out similarly with slight modification. In this proof, for simplicity we denote
Step 1. We need some preparations. Assumption (3.3) indicates that for any there exists such that for we have
(3.4) |
Denote by from which the function is increasing. Then for we have
Estimating the summation by an integral and afterwards changing variable we find
By Lemma 3.3 (i) we can choose such that for we have
which leads to
(3.5) |
for . Similarly we have
which implies
(3.6) |
Step 2. Proof of the case . From (3.6) we get
Considering the function we have
We put
Then is equivalent to . We have
This implies if . Observe that
for depending only on and . Consequently the equation (or ) has a unique solution belonging to the interval From this we deduce
which leads to
if is large enough. It is easy to see that the function , , attains its maximum at . Hence, we find
(3.7) |
if is large enough. Taking the limits and afterwards in (3.7)
we obtain the upper bound. In view of Theorem 2.1 (i), by choosing we also obtain the lower bound in this case.
Step 3. Proof of the case .
Firstly, we estimate in (2.4).
From (2.5) we have
In view of (3.4) and (3.5) we get for
which implies
Therefore, for any , exist such that for we have
(3.8) |
Using (3.4) and (3.6) the condition is satisfied if
which is equivalent to
Hence, for any , there exists such that for we have
Therefore, the condition is satisfied if
This leads to From this and (3.8) we deduce
Denoting , from (2.4) we have
(3.9) |
Using (3.5) and (3.6) again we get
Therefore, the first term in (3.9) can be estimated:
(3.10) |
Now, we estimate the second term in (3.9). Observe that is a decreasing function when for some . Hence, when is large enough, in view of (3.4) we can bound
(3.11) |
Similarly, we also have the estimate
(3.12) |
Note that the condition implies . Using Lemma 3.3 (ii), from (3) and (3) we get
From this and (3.10) we finally obtain
which proves the second statement. ∎
4 Best -term approximation of function spaces with mixed smoothness
In this section we shall apply the result in Section 3 to the family of weights
, where the parameter satisfies . We shall use the notation and , respectively. The classes are called periodic Sobolev spaces with mixed smoothness and well-known in approximation theory, see, e.g., [27, 28, 12]. The classes are the weighted Wiener algebras. These spaces have been studied extensively recently in [21, 6, 22, 26]. In both spaces and , for different , we obtain the same sets of functions. A change of the parameter leads to a change of the quasinorm only.
Let . We define the space to be the collection of all functions such that all distributional derivatives with , belong to . The space is equipped with the norm
Then for all in the sense of equivalent quasinorms. If , then we have If , then the norm itself does not belong to the family of norms , . But the choice leads to the following standard norm
see [25].
Let denote the non-increasing rearrangement of the sequence . That leads to . We recall a result obtained in [25].
Proposition 4.1.
Let and . Then it holds
From this and Theorem 3.4 we get the following.
Theorem 4.2.
Let and . Then it holds
and if
The asymptotic constants for embeddings of best -term approximation widths of embedding of weighted Wiener classes are also obtained from Theorem 3.4.
Theorem 4.3.
Let and . Then it holds
and
Remark 4.4.
Let us compare the asymptotic decay of and . The equivalence
has been known with a long history, see, e.g., [12, Chapters 4 and 7] for comments. From Theorem 4.2 and [26] we also have
However, by Theorem 4.3 and [26] we find
This indicates that approximating functions in the class by -term improves the convergence rate compared to linear method.
We are also interested in asymptotic constants of best -term approximation of embeddings of function spaces with mixed smoothness into . Here is equipped with the norm
I.e., is the standard isotropic periodic Sobolev space with smoothness . We define a weight by
(4.1) |
Rearranging non-increasingly the sequence with the outcome denoted by , we obtain . The asymptotic constant of was obtained recently in [26].
Proposition 4.5.
Let , and
(4.2) |
Then we have
From this and Theorem 3.4 we obtain the following.
Theorem 4.6.
Proof.
Let be given in (4.1). We will show that
(4.3) |
and
(4.4) |
by using standard lifting arguments. We consider the diagram
where the linear operators and are defined for and respectively by
It is obvious that . Now by the property (2.1), we obtain
The reverse inequality follows from the modified diagram
Hence (4.3) is proved. Proof of (4.4) is carried out similarly. Now the assertion follows from Proposition 4.5 and Theorem 3.4. ∎
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