Direct and inverse approximation theorems of functions in the Orlicz type spaces S_M
Stanislav Chaichenko, Andrii Shidlich, Fahreddin Abdullayev

TL;DR
This paper establishes direct and inverse approximation theorems in Orlicz type spaces, linking best approximation, moduli of smoothness, and Peetre K-functionals, advancing the theoretical understanding of function approximation in these spaces.
Contribution
It introduces new approximation theorems in Orlicz spaces and demonstrates the equivalence between moduli of smoothness and Peetre K-functionals.
Findings
Proved direct and inverse approximation theorems in Orlicz spaces.
Established the equivalence between moduli of smoothness and Peetre K-functionals.
Enhanced theoretical framework for function approximation in Orlicz spaces.
Abstract
In the Orlicz type spaces , we prove direct and inverse approximation theorems in terms of the best approximations of functions and moduli of smoothness of fractional order. We also show the equivalence between moduli of smoothness and Peetre -functionals in the spaces .
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Direct and inverse approximation theorems
of functions in the Orlicz type spaces
Stanislav Chaichenko*, Andrii Shidlich** and Fahreddin Abdullayev
* Donbas State Pedagogical University,
19, G. Batyuka st., Slaviansk,
Donetsk region, UKRAINE, 84116
** Department of Theory of Functions,
Institute of Mathematics of NAS of Ukraine,
3, Tereshchenkivska str., Kyiv, UKRAINE, 01601
*** Faculty of Sciences, Kygyz-Turkish Manas University,
56, Chyngyz Aitmatov avenue, Bishkek, KYRGYZ REPUBLIC, 720044;
Faculty of Science and Letters, Mersin University,
Çiftlikköy Kampüsü, Yenişehir, Mersin, TURKEY, 33342
Abstract.
In the Orlicz type spaces , we prove direct and inverse approximation theorems in terms of the best approximations of functions and moduli of smoothness of fractional order. We also show the equivalence between moduli of smoothness and Peetre -functionals in the spaces .
Key words and phrases:
best approximation, modulus of smoothness, direct theorem, inverse theorem
2010 Mathematics Subject Classification:
Primary 41A27; Secondary 42B05
This work was supported in part by the Ministry of Education and Science of Ukraine within the framework of the fundamental research No. 0118U003390 and the Kyrgyz-Turkish Manas University (Bishkek / Kyrgyz Republic), project No. KTMÜ-BAP-2018.FBE.05.
1. Introduction
Direct approximation theorems are statements asserting that smoothness of the function implies a quick decrease to zero of its error of approximation by polynomials or other approximating aggregates. On classes of continuously differentiable functions, such theorems were first proved in terms of the first-order modulus of continuity by Jackson [14] in 1911. Later, Zygmund [32] and Akhiezer [3] generalized Jackson’s results to the second-order modulus of continuity, and Stechkin [21] extended these results to the moduli of continuity of an arbitrary integer order ,
Inverse approximation theorems are the converse statements that characterize the smoothness properties of a function depending on the speed of convergence to zero of its approximation by some approximating aggregates. These theorems were first obtained by Bernstein [5] in 1912. And already in 1919, direct and inverse approximation theorems, due to Jackson and Bernstein, were given in the book on approximation theory by de la Valle Poussin [31].
Investigations of the connection (direct and inverse) between the smoothness properties of functions and the possible orders of their approximations were carried out by many authors on various classes of functions and for various approximating aggregates. Such results constitute the classics of modern approximation theory and they are also described quite fully in the monographs [6], [9], [10], [29].
For the last decades, in addition to the classical direction of theory of direct and inverse approximation theorems, a number of ”non-classical” directions have also been developed fruitfully. It should be mention the studies on direct and inverse approximation theorems in the Orlicz function spaces, which results are contained, in particular, in the papers of Ramazanov [17], Garidi [11], Runovski [18], Israfilov and Guven [13], [12], Akgün and Izrafilov [2], Akgün [1], Chaichenko [8] and others.
In 2001, Stepanets [22] considered the spaces of -periodic Lebesgue summable functions () with the finite norm
[TABLE]
where , , are the Fourier coefficients of the function , and investigated some approximation characteristics of these spaces, including in the context of direct and inverse theorems. Stepanets and Serdyuk [25] introduced the notion of th modulus of smoothness in and established direct and inverse theorems on approximation in terms of these moduli of smoothness and the best approximations of functions. Also this topic was investigated actively in [26], [30], [24], [29, Ch. 3] and others.
In the papers [19], [20] some results for the spaces were extended to the Orlicz sequence spaces. In particular, in [20] the authors found the exact values of the best -term approximations and Kolmogorov widths of certain sets of images of the diagonal operators in the Orlicz spaces. The purpose of this paper is to combine the above mentioned studies and prove direct and inverse theorems in the Orlicz type spaces in terms of best approximations of functions and moduli of smoothness of fractional order.
2. Preliminaries
An Orlicz function is a non-decreasing convex function defined for such that and as . Let be the space of all functions such that the following quantity (which is also called the Luxemburg norm of ) is finite:
[TABLE]
Functions and are equivalent in the space , when
The spaces defined in this way are Banach spaces. In case , , they coincide with the above-defined spaces .
Let , , be the set of all trigonometric polynomials of the order , where are arbitrary complex numbers. For any function , we denote by
[TABLE]
the best approximation of by trigonometric polynomials in the space .
Similarly to [7], we define the (right) difference of of fractional order with respect to the increment by
[TABLE]
where , , and assemble some basic properties of the fractional differences.
Lemma 2.1**.**
Assume that , , . Then
(i)* , where , .*
(ii)* , .*
(iii)* (a. e.).*
(iv)* .*
(v)* .*
The proof of Lemma 2.1 and other auxiliary statements of the paper will be given in Section 7.
Based on definition (2.3), the modulus of smoothness of of the index is defined by
[TABLE]
For convenience, we also assume that and . Using the standard arguments, it can be shown that the functions possess all the basic properties of ordinary moduli of smoothness. Before formulating them, we give the definition of the -derivative of a function.
Let be an arbitrary sequence of complex numbers, , . If for a given function with the Fourier series of the form the series is the Fourier series of a certain function , then is called (see, for example, [23, Ch. 9]) -derivative of the function and is denoted as . It is clear that the Fourier coefficients of functions and are related by equality
[TABLE]
and . In case , , , we use the notation .
Lemma 2.2**.**
Assume that , and . Then
(i)* is a non-negative increasing continuous function of on such that*
.
(ii)* .*
(iii)* .*
(iv)* .*
(v)* .*
(vi) * if there exists a derivative , then .*
(vii) * .*
(viii) * ).*
3. Direct approximation theorems
Proposition 3.1**.**
Let be an arbitrary sequence of complex numbers such that and . If for the function there exists a derivative , then
[TABLE]
where .
Proof.
For a fixed and arbitrary numbers ,
[TABLE]
therefore, for any function we have
[TABLE]
where is the Fourier sum of the function .
According to (3.1) and (2.4), we have
[TABLE]
In this case, if , where is an integer, , then for an arbitrary polynomial of the form , , obviously, the equality holds
[TABLE]
∎
Theorem 3.2**.**
If then for any numbers and the following inequality holds:
[TABLE]
where is a constant that does not depend on and
Before proving Theorem 3.2, we formulate the auxiliary Lemma 3.1. This assertion establishes the equivalence of the Luxemburg norm (2.1) and the Orlicz norm, where the latter is defined as follows. Consider the function
[TABLE]
and the set of all sequences of positive numbers such that . For any function , define its Orlicz norm by the equality
[TABLE]
Lemma 3.1**.**
For any function , the following relation holds:
[TABLE]
Proof of Theorem 3.2. Let us use the proof scheme from [21]. Let be a sequence of kernels (where is a trigonometric polynomial of order not greater than ) such that for all the following conditions are fulfilled:
[TABLE]
[TABLE]
In the role of such kernels, in particular, we can take the well-known Jackson kernels of sufficiently great order, that is,
[TABLE]
where is an integer that does not depend on the positive integer is determined from the inequality and the constant is chosen due to the normalization condition (3.6).
It was shown in [21] that for any sequence of kernels satisfying conditions (3.6)–(3.7), the following estimate holds:
[TABLE]
Let us first consider the case of . Set
[TABLE]
It is clear that is a trigonometric polynomial which order does not exceed . Further, in view of (3.6), we have
[TABLE]
Hence, taking into account relations (3.4)–(3.5) and the definition of the set , we obtain
[TABLE]
Applying now the Fubini theorem and again using estimate (3.5), we find
[TABLE]
To estimate the integral on the right-hand side of (3.9), we use the property (viii) of Lemma 2.2. Setting , , we see that
[TABLE]
This inequality together with (3.8) yields
[TABLE]
Thus, in the case of , the theorem is proved.
If , then we denote by an arbitrary positive integer satisfying the condition . Due to property (ii) of Lemma 2.2, we obtain
[TABLE]
4. Inverse approximation theorems
The key role in proving of the inverse approximation theorems is played by the known Bernstein inequality in which the norm of the derivative of a trigonometric polynomial is estimated in terms of the norm of this polynomial (see, e.g. [27, Ch. 4], [29, Ch. 4]).
Proposition 4.1**.**
Let be an arbitrary sequence of complex numbers, . Then for any , , the following inequality holds:
[TABLE]
Proof.
Let , . By the definition of the -derivative and equalities (2.4), we get
[TABLE]
∎
In this case, if , then for an arbitrary polynomial of the form , , we have
[TABLE]
Corollary 4.1.1**.**
Let be an arbitrary sequence of complex numbers such that . Then for any , ,
[TABLE]
In particular, if , , , then
[TABLE]
Theorem 4.2**.**
If , then for any and , the following inequality is true:
[TABLE]
where is a constant that does not depend on and
For the spaces of -periodic functions integrable to the th power with the usual norm, inequalities of the type (4.3) were proved in [28] (see also [27, Ch. 6], [29, Ch. 2]). In the spaces , similar results were obtained in [25], [26].
Proof.
Let us use the proof scheme from [27, Ch. 6]. Let and be the Fourier sum of . Then, due to Lemma 2.2 (v) and relation (3.1) for an arbitrary , we have
[TABLE]
Further, using property (vi) of Lemma 2.2 and the properties of the norm, we obtain
[TABLE]
Moreover, on the basis of Corollary 4.1.1,
[TABLE]
and Therefore,
[TABLE]
Taking into account the relation
[TABLE]
we get
[TABLE]
Choosing now an integer so that and substituting this estimate into (4.4), we get (4.3). ∎
Corollary 4.2.1**.**
Assume that the sequence of the best approximations of a function satisfies the following relation for some :
[TABLE]
Then, for any , one has
[TABLE]
5. Constructive characteristics of the classes of functions defined by the
th moduli of smoothness
In the following two sections some applications of the obtained results are considered. In particular, in this section we give the constructive characteristics of the classes of functions for which the th moduli of smoothness do not exceed some majorant.
Let be a function defined on interval . For a fixed , we set
[TABLE]
Further, we consider the functions , , satisfying the following conditions 1)–4): 1) is continuous on ; ** 2)** ; ** 3)** for any ; ** 4)** as ; as well-known condition , : (see, e.g. [4]).
Theorem 5.1**.**
Assume that and is a function, satisfying conditions – and . Then, in order a function to belong to the class , it is necessary and sufficient that
[TABLE]
Proof.
Let , by virtue of Theorem 3.2, we have
[TABLE]
Therefore, relation (5.1) yields (5.2). On the other hand, if relation (5.2) holds, then by virtue of Theorem 4.2, taking into account the condition , we obtain
[TABLE]
Thus, the function belongs to the set . ∎
The function , , satisfies the condition . Hence, denoting by the class for , we establish the following statement:
Corollary 5.1.1**.**
Let , In order a function to belong to , it is necessary and sufficient that
[TABLE]
6. The equivalence between th moduli of smoothness and -functionals
-functionals were introduced by Lions and Peetre in 1961, and defined in their usual form by Peetre in the monograph [16] as a basis for his theory of operator interpolation. Unlike the moduli of continuity expressing the smooth properties of functions, -functionals express some of their approximative properties. In this section we prove the equivalence between our moduli of smoothness and certain Peetre -functionals. This connection is important for studying the properties of the modulus of smoothness and the -functional, and also for their further application to the problems of approximation theory.
In the space , the Petree -functional of a function (see, e.g. [9, Ch. 6]), which generated by its derivative of order , is the following quantity:
[TABLE]
Theorem 6.1**.**
For each , , there exist constants , , such that for
[TABLE]
Proof.
Consider an arbitrary function such that . Then we have by Lemma 2.2 (iii), (v) and (vi)
[TABLE]
Taking the infimum over all such that , we get the left-hand side of (6.1).
To prove the right-hand side of (6.1), let us formulate the following auxiliary lemma.
Lemma 6.1**.**
Assume that , and . Then for any
[TABLE]
Now let and such that . Let also be the Fourier sum of . Using Lemma 6.1 with and property (i) of Lemma 2.1, we obtain
[TABLE]
[TABLE]
By virtue of (3.1) and Theorem 3.2, we have
[TABLE]
Combining (6.3), (6.4) and the definition of modulus of smoothness, we obtain the relation
[TABLE]
where , which yields the right-hand side of (6.1):
[TABLE]
∎
7. Proof of the auxiliary statements
Proof of Lemma 2.1. Let us set . For any and , we have . Therefore,
[TABLE]
For a fixed
[TABLE]
and hence (i) holds. Property (ii) is obvious:
[TABLE]
and property (iii) is its consequence. Part (iv) follows by (i)–(iii).
To prove (v) we first show that the following relation holds:
[TABLE]
where is an arbitrary polynomial of the form , , .
Since , then taking into the account (ii), for , we obtain
[TABLE]
Therefore, . For an arbitrary , we set \delta:=\delta(\varepsilon)=\Big{(}\varepsilon/n^{\alpha}\|\tau_{n}\|_{{}_{\scriptstyle M}}\Big{)}^{1/\alpha}. Then for all , we have , i.e., relation (7.3) is indeed fulfilled.
Now let is an arbitrary function from and is its Fourier sum. Since the value tends to zero as , then for any there exist a positive integer such that for any , we have
[TABLE]
Furthermore, by virtue of (7.3), there exist a number such that when . Then using properties of norm and (i), for we get
[TABLE]
which yields (v).
Proof of Lemma 2.2. In (i), the convergence to zero for follows by Lemma 2.1 (v). Part (v) is the consequence of Lemma 2.1 (i). Property (iii), non-negativity and increasing of the function follow from the definition of modulus of smoothness. According to Lemma 2.1 (i) and (iii), for arbitrary numbers , we have
[TABLE]
whence passing to the exact upper bound over all , we obtain (ii). Part (iv) is proved by the following standard arguments:
[TABLE]
[TABLE]
In particular, this yields the continuity of the function , since for arbitrary , as
Let us prove the continuity of for arbitrary . Let and where , Since and
[TABLE]
[TABLE]
then and Hence, we obtain the necessary relation:
[TABLE]
If there exists a derivative , , then by virtue of (7.2) and (2.4), for arbitrary numbers and , we have
[TABLE]
and therefore property (vi) holds.
If and then using the representation
[TABLE]
and the relation
[TABLE]
we get
[TABLE]
and property (vii) is proved. To prove (viii) it is sufficient to consider the case (for , property (viii) is obvious). Choosing the number such that , by virtue (i) and (vii), we obtain
[TABLE]
Proof of Lemma 3.1. The right-hand side of inequality (3.5) is obtained from the Young inequality , where , (see, e.g. [15, Ch. 1, §2]) as follows
[TABLE]
To prove the left-hand side of the inequality (3.5), we choose an arbitrary function such that , and show that for this function the inequality holds.
Using the relation , , we define the function , , and consider the sequence , where . Then for any , the inequality
[TABLE]
holds (see [15]). Also note that for any Orlicz function the function , defined by (3.3), is also convex (see [15]) and satisfies the inequality
[TABLE]
If we assume that , then by (7.6) we see that
[TABLE]
Taking into account (7.5), (7.7), the definition of the set and the equality we get the contradiction
[TABLE]
Consequently, and therefore . Then, taking into account (7.5), we obtain
[TABLE]
hence,
Proof of Lemma 6.1. Since for any polynomial of the form we have , then similarly to (7.4), we obtain
[TABLE]
when . Therefore, .
In (6.2), the first inequality is trivial in the cases where or . So, now let . Since
[TABLE]
and the function increase on , then for a_{2}:=\Big{|}\frac{n/2}{\sin(nh/2)}\Big{|}^{\alpha}\|\Delta_{h}^{\alpha}\tau_{n}\|_{{}_{\scriptstyle M}} we get
[TABLE]
[TABLE]
Thus, the first inequality in (6.2) also holds.
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