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
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 holdswhere c is a constant. We need
Definition 1. Let , . We define the first uniform modulus of continuity of f aswhere 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 bothare uniformly bounded in (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 haveFor and , , callThenAs and , by (16), we obtain that with rates.One also gets by (16) thatgiven that , 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. By (18), we get thatHence, 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 bothare uniformly bounded in Denote Then, it holdsAs and , by (23), we obtain that with rates. One also gets by (23) thatgiven that , , Assuming that , , , converge to zero as , we get , that is the unit operator, in norm, with rates. 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 bothandare uniformly bounded in Here, is as in (22). Then, it holdsAs and , by (27), we obtain that with rates. One also obtains by (27) thatgiven that , , Assuming that , , , converge to zero as , we derive ; that is in norm, with rates. 3. Auxiliary Essential Results
We need
Theorem 5. Let , , Thenare 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 thatandand 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 ; , , , ; . Thenare uniformly bounded, where Also, , as ,
Above, is the upper incomplete gamma function.
Clearly, for (),uniformly bounded in . And, clearly, , as , , by (39). We need the following
Theorem 8. Let , , , , , and Thenare 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, ; , .
(i)where is as in (29), and is as in (36). 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. Let , , , , with , Let , For and , , callThenwhere as in (39). As and , by (57), we obtain that with rates. One also obtains by (57) thatgiven that , 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 ; ;
Thenwhere as in (41), and as in (46). One also obtains from (60) thatgiven that , , Additionally, assuming that , then as and , by (60), we obtain that with rates, and furthermore by (61), we derive that ; that is, the unit operator, in norm, with rates. 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). Thenwhere as in Theorem 8, and as in Theorem 9. We also derive thatgiven that , , Additionally, assuming that , then as and , by (62), we obtain that with rates. Furthermore, by (63), we derive that ; that is, the unit operator, in norm, with rates. 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.