Abstract
In this article, we employ the uniform and , approximation properties of general smooth multivariate singular integral operators over , . It is a trigonometric relief approach with detailed applications to the corresponding smooth multivariate Gauss–Weierstrass singular integral operators. The results are quantitative via Jackson-type inequalities involving the first uniform and moduli of continuity.
Keywords:
multivariate singular integral operator; multivariate modulus of continuity; multivariate Gauss–Weierstrass operator; uniform and Lp approximation MSC:
26A15; 41A17; 41A25; 41A35; 26D15; 41A36
1. Introduction
The degree of approximation by univariate and multivariate singular integral operators has been researched extensively in [1,2,3,4,5]. All these sources motivate our current work. In particular we studied the approximation properties of the smooth singular integral operators in [1,3,4]. These are not in general positive operators. Here, we use the uniform and , , results of our multivariate general theory [6,7], to establish approximation properties of the smooth Gauss–Weierstrass singular integral operators. The degrees of approximation are given quantitatively by employing the uniform and first moduli of continuity. The fundamental tool here comes from [8], where a multivariate trigonometric Taylor formula is presented. For recent related work, see [9,10,11,12,13]. Other important articles on the topic are [14,15,16,17,18].
In the history of this topic, we mention the monograph [4] published in 2012, which was the first comprehensive source to exclusively address the classic theory of the approximation of singular integrals to the identity-unit operator. The authors there quantitatively studied the basic approximation properties of the general Picard, Gauss–Weierstrass and Poisson–Cauchy singular integral operators over the real line, which are not positive linear operators. In particular, they studied the rate of convergence of these operators to the unit operator, as well as the related simultaneous approximation. This is given via inequalities and with the use of a higher-order modulus of smoothness of the high-order derivative of the involved function. Some of these inequalities have been proved to be sharp. Also, they studied the global smoothness preservation property of these operators. Furthermore, they gave asymptotic expansions of Voronovskaya type for the error of approximation. They continued with the study of related properties of the general fractional Gauss–Weierstrass and Poisson–Cauchy singular integral operators. These properties were studied with respect to the Lp norm, . The case of Lipschitz-type functions approximation was studied separately and in detail. Furthermore, they presented the corresponding general approximation theory of general singular integral operators with many applications to the previously under-explored domain of trigonometric singular integrals.
2. Background on General Theory
Here, , , we define
and
See that
and
Let be a probability Borel measure on , , ,
We now define the multiple smooth singular integral operators
where , , , is a Borel measurable function, and also is a bounded sequence of positive real numbers; we take .
Remark 1.
The operators are not generally positive (see [2], p. 2).
We observe that
Lemma 1.
It holds
where c is a constant.
We need
Definition 1.
Let , . We define the first uniform modulus of continuity of f as
where is the max norm in . The functional is bounded for f being bounded or uniformly continuous, and as , in the case of f being uniformly continuous.
We mention the main uniform general approximation result regarding the operator .
Theorem 1
([6]). Here, and let all , , , ; , and all the partials of order 2, along with (continuous and bounded functions); or all of order 2, (uniformly continuous functions). Let be a Borel probability measure on , for , .
Suppose that for all , , , , , we have that both
are uniformly bounded in
Denote
Then
(i)
In case of all of order 2 and and , as , then , with rates.
(ii) If , , and , , , with , then
And in the uniformly continuous case.
(iii) Additionally, assume all partials of order are bounded. Hence,
If all and converge to zero, as , with , and all of order 2, , then
Next, we deal with , , with , , ; where denotes the mixed partial , , ,
We need
Definition 2
(see also [2], p. 20). We call
Let , the modulus of smoothness of order r is given by
We mention
Theorem 2
([7]). Let , , , with , Let . Here, is a Borel probability measure on for , bounded sequence. Assume for all , that we have
For and , , call
Then
As and , by (16), we obtain that with rates.
Assuming that , as , we get , that is the unit operator, in norm, with rates.
We make
Remark 2.
Notice that ()
as assumed in Theorem 2.
We mention also the following trigonometric induced alternative approximation result for operators.
Theorem 3
([7]). Let , , . Here, we deal with , , with , , where , , and ; . Let be a Borel probability measure on . Suppose that for all , , we have that both
are uniformly bounded in
Furthermore, we mention the following trigonometric-based alternative approximation result for operators.
Theorem 4
([7]). Let , , . Here, we deal with , , with , , where , , and . Let be a Borel probability measure on . Suppose that for all , , we have that both
and
are uniformly bounded in
Here, is as in (22).
3. Auxiliary Essential Results
We need
Theorem 5.
Let , , Then
are uniformly bounded, and , as .
Above, denotes the integral part.
Proof.
We have that
(by [19], p. 348)
(where is the upper incomplete gamma function)
That is,
are uniformly bounded; furthermore, , as □
We make
Remark 3.
By Theorem 5, ; , we have that
and
and all these integrals are uniformly bounded in . And all integrals converge to zero, as
We continue with
Theorem 6.
Let , , . Then
Proof.
We observe that
(by [19], p. 348)
proving the claim. □
We need the following.
Theorem 7
([3], p. 403). Let , with ; , , , ; . Then
are uniformly bounded, where
Also, , as ,
Above, is the upper incomplete gamma function.
We need the following
Theorem 8.
Let , , , , , and Then
are uniformly bounded; furthermore, , as , .
Let be denoted as when .
Proof.
We estimate ()
(by [19], p. 348)
(by [19], p. 909)
are uniformly bounded. □
We need the following.
Theorem 9.
Let , , . Then
We set as when
Proof.
We have ()
(by [19], p. 348)
□
4. Main Results
The general smooth multivariate Gauss–Weierstrass singular integral operators are defined as:
Observe that
see [2], p. 15.
That is, are the operators applied for the Borel probability measures on ,
where , .
We will apply to the Theorems 1–4, with the help of all of Section 3. This section presents an approximation of properties of
Here, first apply Theorem 1 to the operators.
Theorem 10.
We consider and let all , , , ; , and all the partials of order 2, along with ; or all of order 2, ; , .
Denote
Then
In the case of all of order 2 and and , as , then , with rates.
(ii) If , , and , , , with , then
And in the uniformly continuous case.
(iii) Additionally, assume all partials of order are bounded. Hence,
If all of order 2, , then
Proof.
By Theorems 1, 5, 6 and Remark 3. □
Next, we apply Theorem 2 to operators.
Theorem 11.
As and , by (57), we obtain that with rates.
Finally, we get as and . That is, the unit operator, in norm, with rates.
Proof.
By Theorems 2, 7 and (40). □
Next, we apply Theorem 3 to operators.
Theorem 12.
Let , , . Here, we deal with , , with , , where , , and ; ;
Denote ()
Proof.
By Theorems 3, 8, 9 and Remark 3. □
We finish with an application of Theorem 4 to operators.
Theorem 13.
Let , , . Here, we deal with , , with , , where , , and ; Here as in (59). Then
where as in Theorem 8, and as in Theorem 9.
Proof.
By Theorems 4, 8, 9 and Remark 3. □
5. Conclusions
A new type of approximation was introduced for singular integrals. This approximation is an interesting trigonometric-based one.
Funding
This research received no external funding.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Conflicts of Interest
The authors declare no conflict of interest.
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