Abstract
In the present paper, we discuss the rate of the approximation by Marcinkiewicz-type matrix transform of Vilenkin–Fourier series in \(L^p(G^2_m)\) spaces (\(1\le p <\infty \)) and in \(C(G^2_m)\). Moreover, we give an application for functions in Lipschitz classes \(\text {Lip}(\alpha ,p,G_m^2)\) (\(\alpha >0,\ 1\le p <\infty \)) and \(\text {Lip}(\alpha ,C(G_m^2))\) (\(\alpha >0 \)).
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1 Introduction and Auxiliary Propositions
At first, we give a brief introduction to the theory of Vilenkin–Fourier analysis. We follow the notation and notion of the book [25]. Denote by \({\mathbb {N}}_{+}\) the set of positive integers, \({\mathbb {N}}:={\mathbb {N}}_{+}\cup \{0\}.\) Let \(m:=(m_{0},m_{1},\dots )\) be a sequence of positive integers not less than 2. Denote by \({\mathbb {Z}}_{m_{n}} :=\{0,1,\ldots ,m_{n}-1\}\) the additive group of integers modulo \(m_{n}\). Define the group \(G_{m}\) as the complete direct product of the groups \({\mathbb Z}_{m_{n}}\) with the product of the discrete topologies of \({\mathbb {Z}}_{m_{n}}`\)s. It has countable base given by the family
The direct product \(\mu \) of the measures
is a Haar measure on \(G_{m}\) with \(\mu \left( G_{m}\right) =1.\)
If the sequence m is bounded, then \(G_{m}\) is called a bounded Vilenkin group; otherwise, it is called an unbounded one. In case of \(m=(2,2,\ldots )\), we get \(G_2\), the so-called Walsh group. The elements of \(G_{m}\) are represented by sequences
Let us denote \(I_{n}:=I_{n}\left( 0\right) \) for \(n\in {\mathbb {N}}\). We define the so-called generalized number system based on m in the following way:
Then, every \(n\in {\mathbb {N}}\) can be uniquely expressed as \( n=\sum _{k=0}^{\infty }n_{k}M_{k},\) where \(n_{k}\in {\mathbb {Z}}_{m_{k}}\ (k\in {\mathbb {N}})\) and only a finite number of \(n_{k}`\)s differ from zero. For a given \(n\in {{\mathbb {N}}}\), the order of n is defined by \(|n|:=\max \{ j\in {{\mathbb {N}}}: n_j\ne 0\}\). Therefore, it is a natural number, such that \(M_{|n|}\le n <M_{|n|+1}\).
Next, we introduce on \(G_{m}\) an orthonormal system which is called Vilenkin system. At first, we define the complex-valued functions \(r_{k} :G_{m}\rightarrow {\mathbb {C}},\) the generalized Rademacher functions, by
Let us define the Vilenkin system \(\varphi :=(\varphi _{n}:n\in {\mathbb {N}})\) on \(G_{m}\) as the product system of generalized Rademacher functions
Specifically, we call this system the Walsh–Paley system when \(m=(2,2,\ldots )\).
The usual Lebesgue spaces on \(G_m\) are denoted by \(L^p(G_m)\) with the corresponding norm \(\Vert .\Vert _p\). The space of continuous functions on \(G_m\) is denoted by \(C(G_m)\) with the norm \(\Vert f\Vert _\infty :=\sup \{ |f(x)|: x\in G_m\}.\)
The modulus of continuity in \(L^p\) (\(1\le p <\infty \)) of a function \(f\in L^p\) is defined by
with the notation
Analogically, the modulus of continuity in C is denoted by \(\omega _\infty (f,\delta )\). Since, the modulus of continuity is constant at the intervals \(\left( \frac{1}{M_{n+1}},\frac{1}{M_n}\right] \) (\(n\in {{\mathbb {N}}}\)), it is possible to choice it as a continuous parameter \(\delta >0\). We note that the original definition of Vilenkin was a sequence-type definition which reflects the group structure [29].
The Lipschitz classes in \(L^p(G_m)\) for each \(\alpha >0\) are defined by
Moreover
Furthermore, for the simplicity, we write \(\text {Lip}(\alpha ,\infty ,G_m):=\text {Lip}(\alpha ,C(G_m))\).
In dimension two, for \(x=(x^1,x^2)\in G_m^2\), we define |x| by \(|x|^2:=(x^1)^2+(x^2)^2.\) Thus, the modulus of continuity \(\omega _p(\delta ,f)\) is well defined for \(\delta >0\) \((1\le p\le \infty )\). The partial modulus of continuity is defined by
(\(\delta >0\)) for \(f\in L^p(G_m^2)\). In the case \(f\in C(G_m^2)\), we change p by \(\infty \). The mixed modulus of continuity is defined as follows:
where \(\delta _1,\delta _2>0.\)
The Vilenkin system is orthonormal and complete in \(L^{2}\left( G_{m}\right) \) (see [29]). The elements of the Vilenkin system are precisely the characters of \(G_m\), i.e., nonzero continuous functions \(f:G_m\rightarrow {\mathbb {C}}\), such that
for all \(x,y\in G_m\). It holds if and only if \(f(x)=\varphi _{n}(x)\) for some \(n\in {\mathbb {N}}\) (see [25]).
The nth Dirichlet kernel is defined by
where \(n\in {\mathbb {N}}_+,\) \(D_0 :=0.\) The \(M_n\)th Dirichlet kernel has a closed form
Let \(\{ q_k:k\ge 0\}\) be a sequence of non-negative numbers. The nth Nörlund mean of the Vilenkin–Fourier series is defined by
where \(Q_n:=\sum _{k=0}^{n-1}q_k\) \((n\ge 1)\) and \(S_k(f;x)\) denotes the kth partial sum of the Vilenkin–Fourier series of f. It is always assumed that \(q_0>0\) and
In this case, the summability method generated by \(\{ q_k\}\) is regular (see [16, 33]) if and only if
Móricz and Siddiqi [21] studied the rate of the approximation by Nörlund means \({{\mathbf {t}}}_n( f)\) of Walsh–Fourier series of a function f in \(L^p(G_2)\) and in \(C(G_2)\) (in particular, in \(\text {Lip}(\alpha ,p,G_2),\) where \(\alpha >0\) and \(1\le p\le \infty \)). As special cases, Móricz and Siddiqi obtained the earlier results given by Yano [32], Jastrebova [17], and Skvortsov [27] on the rate of the approximation by Cesàro means. The approximation properties of the Walsh–Cesàro means of negative order were studied by Goginava [13], and Vilenkin case was investigated by Shavardenidze [26] and Tepnadze [28]. In 2008, Fridli, Manchanda, and Siddiqi generalized the result of Móricz and Siddiqi for homogeneous Banach spaces and dyadic Hardy spaces [10]. Recently, the first author, Baramidze, Memić, Persson, Tephnadze and Wall presented some results with respect to this topic [2, 7, 18]. See [9, 30], as well. Avdispahić and Pepić proved some results also for Vilenkin system in the paper [1]. For the two-dimensional results, see [6, 22,23,24, 31].
Let \(\{ p_k:k\ge 1\}\) be a sequence of non-negative numbers. The nth weighted mean \(T_n\) of Vilenkin–Fourier series is defined by
where \(P_n:=\sum _{k=1}^{n}p_k\) \((n\ge 1).\) In particular case \(T_n\) are the Vilenkin–Fejér means (for all k set \(p_k=1\)). It is always assumed that \(p_1>0\) and
which is the condition for regularity [16, 33].
Móricz and Rhoades [19] discussed the rate of the approximation by weighted means of Walsh–Fourier series of a function in \(L^p(G_2)\) and in \(C(G_2)\) [in particular, in \(\text {Lip}(\alpha ,p,G_2),\) where \(\alpha >0\) and \(1\le p\le \infty \)]. As special cases Móricz and Rhoades obtained the earlier results given by Yano [32], Jastrebova [17] on the rate of the approximation by Walsh–Cesàro means. A common generalization of this two results of Móricz and Siddiqi [21] and Móricz and Rhoades [19] was given by the authors in the paper [4]. Recently, the generalization for linear transform of Vilenkin–Fourier series was proved by the authors [5].
Let \(T:=\left( t_{i,j}\right) _{i,j=1}^{\infty }\) be a doubly infinite matrix of numbers. It is always supposed that matrix T is triangular. Let us define the nth linear mean (or matrix transform mean) determined by the matrix T
where \(S_k(f;x)\) denotes the kth partial sums of the Vilenkin–Fourier series of f. For matrix transform method, the conditions of regularity can be found in Zygmund’s book [33, page 74] and in [16].
Since, the nth row of the matrix T determines the linear mean \(\sigma _{n}\) and its definition contains only finite number of entries; for the simplicity, we say \(\{ t_{k,n}: 1\le k\le n , \ k\in {\mathbb {N}}_+\}\) is a finite sequence of numbers for each \(n\in {\mathbb {N}}_+\).
In the further part of this paper, let \(\{ t_{k,n}: 1\le k\le n , \ k\in {\mathbb {N}}_+\}\) be a finite sequence of non-negative numbers for each \(n\in {\mathbb {N}}_+\). The nth matrix transform kernel is defined by
It is easily seen that
It follows by simple consideration that the Nörlund means and weighted means are matrix transforms.
Our paper is motivated by the work of Móricz, Siddiqi [21] on Walsh–Nörlund mean method and the result of Móricz, Rhoades [19] on Walsh weighted mean method. It is important to note that in the paper of Chripkó [8], a generalization for Jacobi–Fourier series was discussed, and the authors found some ideas in this paper. Recently, the rate of the approximation by linear transform means \(\sigma _n(f)\) of Vilenkin–Fourier series is examined in spaces \(L^p(G_m)\) (\(1\le p<\infty \)) and \(C(G_m)\) [5]. The authors generalized the means and the system of the Fourier series, as well. Other aspects of these methods with respect to Walsh–Fourier series are treated in the papers [9, 30].
Fejér kernels are defined as the arithmetical means of Dirichlet kernels, that is
In dimension 2, the Marcinkiewicz kernels are defined as follows:
Let us define the Marcinkiewicz-type linear transform means and kernels as follows:
Our main aim is to investigate the rate of the approximation by two-dimensional Marcinkiewicz-type matrix transform in terms of modulus of continuity. Moreover, our main theorem (Theorem 1) gives a kind of common two-dimensional generalization of the two results of Móricz, Siddiqi on Nörlund means [21] and Móricz, Rhoades on weighted means [19]. Moreover, we generalized the system, as well (see [22, 24]). In this section, the two-dimensional kernels \(K_n^T(x,y)\) are decomposed and two useful Lemmas are proved. The main theorem follows in Sect. 2, and the results are reached for two class of means. The results are stated for non-decreasing and non-increasing generating sequences \(\{ t_{k,n}: 1\le k\le n\}\) (\(n\in {\mathbb P}\)). At the end, we present an application for Lipschitz functions.
For more about the original Marcinkiewicz–Fejér means, see e.g. [3, 11, 14, 15].
For two-dimensional variable \((x,y)\in G_m\times G_m\), we use the notations
for any \(n\in {{\mathbb {N}}}.\) More generally
for any Vilenkin polynomial \(P_n=\sum _{k=0}^{n-1} c_k\varphi _k \). Let us denote the set of Vilenkin polynomials with order less than \(M_n\) by \({{\mathcal {P}}}_{M_n}\). The two-dimensional Vilenkin polynomials are defined analogically. That is
Let us denote the set of two-dimensional Vilenkin polynomials with order less than \((M_n,M_n)\) by \({{\mathcal {P}}}_{M_n,M_n}\).
We introduce the notation \(\Delta t_{k,n}:=t_{k,n}-t_{k+1,n},\) where \(k\in \{1,\ldots ,n\}\) and \(t_{n+1,n}:=0\). In the next Lemma, we give a decomposition of the kernels \(K_{n}^T(x,y)\).
Lemma 1
Let \(n>2\) be a positive integer, then we have
with the notation \(W_{l,j,n}:=\sum _{k=0}^{M_j-1}t_{lM_j +k,n} D_k\), \({{\mathcal {W}}}_{l,j,n}:=\sum _{k=0}^{M_j-1}t_{lM_j +k,n} D_k^1 D_k^2\),
Proof
Let us set \(0\le k<M_{j}\) and \(0<l <m_j\), then
We write
For the expression \(K_n^{1}\), the equality (7) yields
For the expression \(K^{1,2}\), we write
We apply the notation of our Lemma for the expressions \(K^{1,3}\) and \(K^{1,4}\) analogically. Applying Abel’s transformation, we have
and
For the expression \(K_n^2\), we write
Moreover, equality (7) yields
and
Now, we use Abel’s transform for the expressions \(Q_{l,n}\) and \( {{\mathcal {Q}}}_{l,n}\) in formula \(K_n^{2,1}\). We have
Later, in the proof of the main Theorem, we will substitute the result to the expressions \(K_{n}^{2,1,2}\), \(K_{n}^{2,1,3}\) and \(K_{n}^{2,1,4}\). Moreover, we apply Abel’s transform for the formulas \(R_n\) and \({{\mathcal {R}}}_n\)
It completes the proof of Lemma 1. \(\square \)
Lemma 2
Let \(P\in {{\mathcal {P}}}_{M_{A}},\ f\in L^p(G_m^2)\)(\(A\in {\mathbb {P}}\), \(1\le p < \infty \)) or \(f\in C(G_m^2)\). Then
for any \(s,q\in {{\mathbb {N}}}\), where \(q\ne km_{A},\ k\in {\mathbb {N}}\) (for \(f\in C(G_m^2)\), we change p by \(\infty \)).
Proof
We carry out the proof in spaces \(L^p(G_m^2)\) (\(1\le p< \infty \)), in space \(C(G_m^2)\) the proof is similar, even simpler
For any fixed \(y^1\), let us investigate the expression
We write
We set \(y^{1'}:=(y_0^1,\ldots ,y_{A-1}^1,0,y_{A+1}^1,\ldots ),\) where the Ath coordinate of \(y^1\) is changed by 0. Let us set, \(e_A:=(0,\ldots ,0,1,0,\ldots )\) (only the Ath coordinate is 1, the others are 0), \(e_A^{{(1)}}:=(e_A,0)\) (\(0\in G_m\)) and \(e:= \exp \left( \frac{2\pi \imath q}{m_{{A}}}\right) \), we get
Since, e is an nth root of unity, we have
These yield
The generalized Minkowski inequality gives
This completes the proof of Lemma 2. \(\square \)
Analogically, we prove the next Lemma.
Lemma 3
Let \(P\in {{\mathcal {P}}}_{M_{A}},\ f\in L^p(G_m^2)\) (\(A\in {\mathbb {P}}\), \(1\le p < \infty \)) or \(f\in C(G_m^2)\). Then
for any \(s,q\in {{\mathbb {N}}}\), where \(s\ne km_{A},\ k\in {\mathbb {N}}\) (for \(f\in C(G_m^2)\), we change p by \(\infty \)).
It is important to note that in the previous Lemma 3, it is possible to choose \(q=km_A\) (\(k\in {{\mathbb {N}}}\)), specially \(q=0\) can be chosen. The situation changes in Lemma 4.
Lemma 4
Let \(P\in {{\mathcal {P}}}_{M_{A},M_A},\ f\in L^p(G_m^2)\) (\(A\in {\mathbb {P}}\), \(1\le p <\infty \)) or \(f\in C(G_m^2)\). Then
for any \(q,s\in {{\mathbb {P}}}\), where \(q,s\ne km_{A},\ k\in {\mathbb {N}}\) (for \(f\in C(G_m^2)\), we change p by \(\infty \)).
Proof
We carry out the proof in spaces \(L^p(G_m^2)\) (\(1\le p< \infty \)), in space \(C(G_m^2)\) the proof is similar
For any fixed \((y^1,y^2)\), let us investigate the expression
Following the discussion of the expression \(I(y^1)\), we write:
where \(y^{1'}\) is defined in that way as in Lemma 2 we did. Let us set \(y^{2'}:=(y_0^2,\ldots ,y_{A-1}^2,0,y_{A+1}^2,\ldots ),\) where the Ath coordinate of \(y^2\) is changed by 0. (\(e_A^{{(1)}}:=(e_A,0)\), \(e_A^{{(2)}}:=(0,e_A)\), \(0\in G_m\)), \(e_q:= \exp \left( \frac{2\pi \imath q}{m_{{A}}}\right) \) and \(e_s:= \exp \left( \frac{2\pi \imath s}{m_{{A}}}\right) \). We introduce the notion \(F(x+u):=\sum _{k=0}^{m_{{A}}-2}(f(x+u+ke_n^1)-f(x+u +(k+1)e_n^1)\sum _{j=0}^{k}e_q^j\). Applying the same method for the second variable and inequalities (14), we have
and
It is easily seen that
and
The generalized Minkowski’s inequality gives
This completes the proof of Lemma 4. \(\square \)
From now, we discuss bounded Vilenkin groups, i.e., we suppose that \(\sup _{n}m_{n}<\infty .\)
In this case, it is well known that the \(L^1(G_m)\) norm of the Fejér kernels is uniformly bounded. Namely, there exists a positive constant c, such that
Next lemma was proved by Glukhov [12].
Lemma 5
(Glukhov [12]) Let \(\alpha _1,\ldots , \alpha _n\) be real numbers. Then
where c is an absolute constant.
As a corollary of Lemma 5, there exists a positive constant c, such that
2 The Main Theorem and an Application
Theorem 1
Let \(f\in C(G_m^2)\) or \(f\in L^p(G_m^2)\ (1 \le p < \infty )\). For every \(n\in {\mathbb {N}}\), let \(\{t_{k,n}: 1\le k\le n\}\) be a finite sequence of non-negative numbers, such that
is satisfied.
(a) If the finite sequence \( \{ t_{k,n}: 1\le k \le n\}\) is non-decreasing for a fixed n and the condition
is satisfied, then
holds (for \(f\in C(G_m^2)\), we change p by \(\infty \)).
(b) If the finite sequence \( \{ t_{k,n}: 1\le k \le n \}\) is non-increasing for a fixed n, then
holds (for \(f\in C(G_m^2)\), we change p by \(\infty \)).
We note that in our Theorem, the expression \( c \sum _{k=M_{|n|}}^{n} t_{ k,n} \omega _{p}\left( f,1/M_{{|n|}}\right) \) can be replaced by \(O\left( \omega _{p}\left( f,1/M_{{|n|}}\right) \right) \). Moreover, we remark that condition \(\sum _{k=1}^n t_{k,n}=1\) is natural, many well-known means satisfy this condition.
Proof of Theorem 1
We prove the theorem for \(L^p(G_m^2)\) spaces \(1\le p<\infty \). For \(C(G_m^2)\), the proof is similar. Let us set \(f\in L^p(G_m^2)\). From the condition \(\sum _{k=1}^n t_{k,n}=1\), it follows:
Using generalized Minkowski’s inequality [33, vol. 1, p. 19] and inequality
we write that
Applying inequality (18), Lemmas 2 and 3 for the expressions \(I_{1,n}\), \(I_{5,n}\) and \(I_{9,n}\), we obtain that
and
In case a.), we write that
In case b.), we have that
Inequalities (8), (18), Lemma 3 and (15) give
We write in case (a)
and
We have in case (b)
and
Let us discuss the expression \(I_{2,n}^2\). In case (a), we are ready. That is
In case (b), we get that
We apply analogical method for the expression \(I_{3,n}\). In case a.), we have
In case (b), we get
It follows from Lemma 3, equality (10) and (15) that:
In case (a), applying (19) for \(j=|n|\), we obtain
In case (b), using inequality (21) for \(j=|n|\), we have that
and
We discuss the expression \(I_{6,n}^2\)
In case (a), we write that
In case (b), we have that
We apply analogical method for the expression \(I_{7,n}\).
Let us discuss the expression \(I_{10,n}\). By the equality (12), Lemma 3 and (15), we may write that
First, we discuss \(I_{10,n}^1\). In case (a), we calculate that
and
In case (b), we have that
and
Now, we discuss the expression \(I_{10,n}^2\). In case (a), we write
In case (b), we have
We apply similar method for the expression \(I_{11,n}\).
For the expression \(I_{4,n}\), equality (9) and Minkowski’s inequality yield
In case (a), we write that
and
In case (b), we have
and
Now, we estimate the expression \(I_{4,n}^2\). Lemma 4 and (16) yield
Therefore, we are ready in case (a). In case (b), we may write that
Let us discuss the expression \(I_{8,n}\). Equality (11) and the usual Minkowski’s inequality yield
Let us turn our attention to the expression \(I_{8,n}^1\). Applying Lemma 4 and (16) again, we may write that
In case (a), taking into account inequality (22) for \(j=|n|\), we get
and
In case (b), applying inequality (23) for \(j=|n|\), we have that
and
For the expression \(I_{8,n}^2\), Lemma 4 and (16) yield that
In case (a), we immediately write
In case (b), we have
At last, we discuss the expression \(I_{12,n}\). Usual Minkowski’s inequality, equality (13), and Lemma 4 yield that
In case (a), we obtain that
and
In case (b), we have that
and
Now, we discuss the expression \(I_{12,n}^2\).
In case (a), we write
In case (b), we have
The well-known inequality
(\(j\in {{\mathbb {N}}}\)) completes the proof of the main Theorem. \(\square \)
At last, we apply our theorem for Lipschitz functions, we present the two-dimensional version of the results in the papers [5, 19, 21] and we generalize the result in [22], as well.
Theorem 2
Let \(f\in \text {Lip}(\alpha ,p) \) for some \(\alpha >0\) and \(1\le p\le \infty \). For matrix transform \(\sigma _n\) of Vilenkin–Fourier series, we suppose that the conditions in Theorem 1 are satisfied.
(a) The next estimate holds
(b) The equality
holds.
Proof
In both cases, we use that fact the expression \(c\sum \limits _{k=M_{|n|}}^{n} t_{ k,n} \omega _{p}^k\left( f,1/M_{{|n|}}\right) \) can be replaced by \(O\left( \omega _{p}^k\left( f,1/M_{{|n|}}\right) \right) \), where \(k\in \{1,2\}\).
The proof is analogous to the proof of the one-dimensional theorem in [5]. Therefore, we omit it. \(\square \)
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Blahota, I., Nagy, K. Approximation by Marcinkiewicz-Type Matrix Transform of Vilenkin–Fourier Series. Mediterr. J. Math. 19, 165 (2022). https://doi.org/10.1007/s00009-022-02105-3
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DOI: https://doi.org/10.1007/s00009-022-02105-3
Keywords
- Vilenkin group
- Vilenkin system
- Vilenkin–Fourier series
- rate of approximation
- modulus of continuity
- Marcinkiewicz mean
- matrix transform
- Lipschitz function
- two-dimensional system