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A Bernstein type inequality associated with wavelet bi-frame decomposition
Journal of Inequalities and Applications volume 2016, Article number: 244 (2016)
Abstract
Bernstein inequality is an essential inequality for Besov spaces. Smoothness based approaches are widely used in establishing the inequality. Yet, despite numerous studies over the last two decades, there is still little research focusing on decay-based approaches. However, motivating authors to establish inequality poses challenges, many of which can be overcome by means of the completeness of wavelet bi-frames in Lebesgue spaces and the stability of wavelet coefficients. The research has shown how wavelets with decay conditions enable descriptions of Lebesgue spaces, and in particular, the Bernstein inequality.
1 Introduction
It is well known that the Jackson and Bernstein inequalities reflect relations between quality and size of the approximation for a certain pair spaces [1], p.201, and they are used to characterize the approximation spaces by means of the interpolation spaces [1], p.235, Theorem 9.1. While the Bernstein inequality has a variety of applications in approximation theory, it is usually used to prove the inverse theorems. Wavelet decomposition into this area has shown how wavelets convey their contribution across various types. In 1993 an article [2] about Bernstein inequality was publish by Jia that has been the subject of much discussion ever since. References [3–5] seem to agree with [2], although no further improvement has been made. As shown in the above, the existing research as regards the Bernstein inequality has emphasized the necessity of smoothness, and it ignored the feasibility of decay (only-) based approaches. Hence, in order to help fill this gap in our knowledge, we establish the feasibility of decay-based approaches to the Bernstein inequality. The aim has been accomplished by means of completeness of wavelet bi-frames in Lebesgue spaces and stability of wavelet coefficients.
The completeness of wavelet bi-frames in Lebesgue spaces probably ranges between two types of methodologies: the use of Calderón-Zygmund operators (CZOs) and the use of the Calderón-Zygmund decomposition theorem (CZD). On the one hand, the use of Calderón-Zygmund operators is a way of gaining \(L^{p}\)-boundedness for certain operators by providing smoothness and the well-known theorem. This kind of gaining \(L^{p}\)-boundedness is used widely. References [6], p.856, Theorem 3.3, [3, 4, 7–9], [10], p.295, Theorems 9.1.5-9.1.6, [11], [12], Chapter 5, Theorems 6.14, 6.23, [13–16], [17], Lemma 3.1, [18], Chapter 6, and [19], Section 7.3, Theorem 1, and [20] ensure sufficiently smooth wavelet frames are complete/unconditional bases for Lebesgue spaces. The use of CZD, on the other hand, is a way of gaining \(L^{p}\)-boundedness for certain operators that for one reason or another does not involve smoothness. While all seem to agree that this kind of gaining \(L^{p}\)-boundedness cannot be entirely separate from complicated estimations, other researchers, for instance, Gripenberg [11] and Wojtaszczyk [20] insist on the use of CZD. They argue that it seems strange to posit smoothness on wavelets without specifying certain function spaces’ nature. The present authors also contend that decay on wavelets should be enough to answer completeness problems in Lebesgue spaces, and thus, the Bernstein inequality.
This study is divided into four main sections. Section 2 is a review of preparatory facts, addressing both theoretical aspects and Lemma 2.3. Section 3 describes the methodology and procedures for completeness, \(l^{p}\)-stability of wavelet bi-frames in Lebesgue spaces. Finally, completeness of bi-frames in Lebesgue spaces is presented, and, in particular, the Bernstein inequality.
2 Preliminaries and notations
Throughout this paper, we use the following notations. We write \(A\lesssim B\) if \(A\leq CB\) for some positive constant C. We write \(A\sim B\) if \(A\lesssim B\) and \(B\lesssim A\). Let X, Y be two (quasi-)normed spaces. \(X \hookrightarrow Y\) means that X is continuously embedded in Y. In other words, one has \(X\subset Y\) and \(\|\cdot\|_{Y}\lesssim\|\cdot\|_{X}\).
For \(0< p<\infty\), \({\|f\|_{p}:= (\int_{\mathbb{R}}| f|^{p} )^{\frac{1}{p}}}\) is the norm for the Lebesgue space \(L^{p}(\mathbb {R})\), and \(\|f\|_{\infty}:=\operatorname{ess\, sup}| f|\). For \(0< p< \infty\), \(l^{p}(\mathbb{Z})\) denotes the space of all sequences a such that \(\|a\|_{l^{p}(\mathbb{Z})}<\infty\), where \({\|a\|_{l^{p}(\mathbb {Z})}:= (\sum_{i\in\mathbb{Z}}| a_{i}|^{p} )^{\frac {1}{p}}}\); \(\|a\|_{l^{\infty}(\mathbb{Z})}:=\sup_{i\in\mathbb{Z}}| a_{i}|\). \(\{f_{i}\}_{i\in\mathbb{Z}}\in L^{p}(\mathbb{R})\) is \(l^{p}\)-stable if \({ \|\sum_{i\in\mathbb{Z}}a_{i}f_{i} \|_{p}\sim\|a\| _{l^{p}(\mathbb{Z})}}\), \(1< p<\infty\) for some \(a:=\{a_{i}\}_{i\in\mathbb {Z}}\in l^{\infty}(\mathbb{Z})\).
For \(f:\mathbb{R}\to\mathbb{C}\), \(h\in\mathbb{R}\), the difference of r-order (\(r\in\mathbb{N}\)) [1], p.44, is given by
where \(\triangle ^{1}_{h}f(\cdot):=f(\cdot+h)-f(\cdot)\). The rth modulus of smoothness of \(f\in L^{p}(\mathbb{R})\), \(0< p\leq\infty\) is defined by
We see that the norm of operator \(\triangle ^{r}_{h}\) in \(L^{p}(\mathbb{R})\), \(1\leq p\leq\infty\), does not exceed \(2^{r}\).
Let \(\alpha>0\) be given and let \(r:=[\!\![\alpha]\!\!]+1\). For \(0< p,\tau\leq \infty\), the Besov space \(\mathcal{B}_{\tau}^{\alpha}(L^{p}(\mathbb {R}))\) [1], p.54, is the collection of all functions \(f\in L^{p}(\mathbb{R})\) such that
is finite. The quantity is a seminorm if \(1\leq p, \tau\leq\infty\) (a quasi-seminorm in the other case). The norm for \(\mathcal{B}_{\tau }^{\alpha}(L^{p}(\mathbb{R}))\) is \(\|f\|_{\mathcal{B}_{\tau}^{\alpha }(L^{p}(\mathbb{R}))}:=| f|_{\mathcal{B}_{\tau}^{\alpha}(L^{p}(\mathbb {R}))}+\|f\|_{p}\). Of special interest are the spaces \(\mathcal {B}^{\alpha}:=\mathcal{B}_{\tau}^{\alpha}(L^{\tau}(\mathbb{R}))\) where \(\frac{1}{\tau}=\alpha+\frac{1}{p}\) and for fixed \(p\in (1,\infty)\). There is another equivalent seminorm for \(\mathcal {B}_{\tau}^{\alpha}(L^{p}(\mathbb{R}))\), i.e.,
The bases in this study are Schauder bases. Unconditionality for a sequence \(\{x_{n}\}\) can be characterized as follows.
Theorem 2.1
([21], Theorem 2.8)
Given a sequence \(\{x_{n}\}\) in a Banach space. The following statements are equivalent.
-
(1)
\(\sum x_{n}\) converges unconditionally.
-
(2)
\(\sum\epsilon_{n} x_{n}\) converges for every choice of signs \(\epsilon_{n}=\pm1\).
-
(3)
\(\sum\lambda_{n} x_{n}\) converges for every bounded sequence of scalars \(\{\lambda_{n}\}\).
A sequence \(\{ {{\psi}_{i}}:i\in\mathbb{Z} \}\) (not necessarily linearly independent) in \(L^{2}(\mathbb{R})\) is called a frame for \(L^{2}(\mathbb{R})\) if there exist two constants \(0< A\le B<\infty\) such that
The numbers A, B are called frame bounds and if \(A=B\), we call this a tight frame. We define the frame operator S of \(\{\psi_{i}:i\in \mathbb{Z}\}\),
and each \(f\in L^{2}(\mathbb{R})\) has the decomposition
The series converges unconditionally in \(L^{2}(\mathbb{R})\) [22], pp.90-91. \(\{S'\psi_{i}:i\in\mathbb{Z}\}\) is called the canonical dual of \(\{\psi_{i}:i\in\mathbb{Z}\}\), and every frame has its own canonical dual frame for \(L^{2}(\mathbb{R})\). T is called the pre-frame operator or the synthesis operator; it is bounded. We have
\(S=TT^{*}\). Both S and \(S'\) are of type \((2,2)\), bounded, invertible (\(SS'=S'S=I\) on \(L^{2}(\mathbb{R})\)), self-adjoint, and positive. \(\{ S'\psi_{i}:i\in\mathbb{Z}\}\) is also a frame for \(L^{2}(\mathbb{R})\) and its frame operator is \(S'\). The canonical dual frame \(\{S'\psi _{i}:i\in\mathbb{Z}\}\) of a tight frame is simply \(\{\frac{1}{A}\psi _{i}:i\in\mathbb{Z}\}\).
A frame which is not a basis, is said to be overcomplete and thus, for overcomplete frames, the coefficients in the series expansion of a \(f\in L^{2}(\mathbb{R})\) are not unique. It means that there exists a frame \(\{\eta_{i}\}\neq\{S'\psi_{i}\}\) for which
and \(\{\eta_{i}\}\) is called the alternate dual frame of frame \(\{\psi _{i}\}\). The affine wavelet frame system for \(L^{2}(\mathbb{R})\) generated by ψ is defined as \(\{\psi_{j,k}\}:=\{\psi_{j,k}:j,k\in\mathbb {Z}\}\), \(\psi_{j,k}(x):=2^{j/2}\psi(2^{j}x+k)\). \(\{\psi^{(p)}_{j,k}\} :=\{\psi^{(p)}_{j,k}:j,k\in\mathbb{Z}\}\) is the primal wavelet frame of \(\{\psi_{j,k}\}\) where \(\psi^{(p)}_{j,k}:=2^{j/p}\psi(2^{j}x+k)\). In general [22], p.276,
where \(D^{j}(\cdot)(x):=2^{j/2}(\cdot)(2^{j}x)\), \(T_{k}(\cdot)(x):=(\cdot)(x+k)\). In this case, we say that the canonical dual frame \(\{S'\psi_{j,k}\}\) of \(\{\psi_{j,k}\}\) does not have a wavelet structure.
We say that \(\{\psi_{j,k}\}\) and \(\{\widetilde{\psi}_{j,k}\}\) are a pair of dual wavelet frames (bi-frames/sibling frames [22], p.277, [23, 24]) if both are frames for \(L^{2}(\mathbb{R})\) and
for all \(f\in L^{2}(\mathbb{R})\). We say that ψ satisfies the condition \(\mathcal{M}^{p}\) (\(\psi \in\mathcal{M}^{p}\)) if
where \(0< p<\infty\) and \(\Psi(x):=\sup_{x\leq| y|}|\psi|(y)\), \(x\geq0\). \(L_{\psi}\) is the best lower bound for ψ satisfying \(\mathcal{M}^{p}\) for all \(p\in(L_{\psi},\infty)\) and \(\psi\notin \mathcal{M}^{p}\) for all \(p\in[0,L_{\psi}]\).
Remark 2.2
The aim of this remark is to gain a better understanding of condition \(\mathcal{M}\) as an essential feature in this study.
-
1.
The case of wavelets satisfying \(\mathcal{M}^{1}\) is enough for most cases in this study. In contrast, we consider a stronger condition \(\mathcal{M}^{p}\), \(0< p<1\) for the Bernstein inequality.
-
2.
We need to exercise caution as regards \(\mathcal{M}^{p}\). In general, given a wavelet ψ, there does exist a lower bound for p. One possible reason for p there having a lower bound may lie in
$$ \sum_{s\in\mathbb{N}}[\!\![\log_{2} s]\!\!]| \psi|^{p}(s)\sim \int_{1}^{\infty } \bigl[\log_{2} (1+x) \bigr] \Psi^{p}(x)\,dx. $$They either both converge or both diverge. Let ψ be a wavelet with a polynomial majorant, i.e.,
$$ |\psi|(x)\lesssim\bigl(1+\vert x\vert \bigr)^{-\beta},\quad \beta>1. $$So \(L_{\psi}:=\beta^{-1}\), and it yields \(\psi\in\mathcal{M}^{p}\). Indeed,
$$ \int_{1}^{\infty} \bigl[\log_{2} (1+x) \bigr] \Psi^{p}(x)\,dx\lesssim \int_{1}^{\infty}\frac{\log_{2} (1+x)}{(1+x)^{p \beta}}\,dx< \infty. $$
\({\sum_{s\in\mathbb{N}}[\!\![\log_{2} s]\!\!]|\psi|^{p}(s)}\) may diverge if \(\beta\leq1\). It is worth pointing out that \(L_{\psi}:=0\) if ψ has exponential decay or is compactly supported.
We denote by \(\mathcal{F}_{\psi}:=\{\psi_{j,k}:j, k\in{\mathbb{Z}}\}\) a frame for \(L^{2}(\mathbb{R})\), and \(\mathcal{F}_{\psi,\mathcal {M}^{p}}:=\{\psi_{j,k}:\psi\in\mathcal{M}^{p},j,k\in{\mathbb{Z}},p\in (L_{\psi},\infty)\}\) is a frame for \(L^{2}(\mathbb{R})\).
The following is the CZD [25]. For all \(f\in L^{1}\cap L^{2}({\mathbb{R}})\) and \(\alpha>0\), there exists a collection \(\Omega\subset{\mathbb{Z}}^{2}\) such that the intervals \(\{I_{m,n}\}_{(m,n)\in\Omega}\) are disjoint, \(I_{m,n}:=[2^{-m}n,2^{-m}(n+1))\),
almost everywhere on \(F:= {{\mathbb{R}}\setminus\bigcup_{(m,n)\in\Omega }I_{m,n}}\), and also, for all \((m,n)\in\Omega\),
Therefore,
Lemma 2.3 is generalized from [26], Lemma 3.1. (1) and (2) can be found in our early work [26], Lemma 3.1, and Section 4. (4) is a direct consequence from (3). The proof for Lemma 2.3(3) is similar to [26], Lemma 3.1. To be rigorous, we include a proof.
Lemma 2.3
Let ψ satisfy condition \(\mathcal{M}^{p}\), \(p\in(L_{\psi},1]\), \(0\leq L_{\psi}<1\). Then:
-
(1)
\(\|\psi\|_{W(L^{\infty},l^{1})}:= {\sum_{k\in{\mathbb{Z}}}\sup_{[0,1)}| \psi|(x+k)<\infty}\), and it leads to \(\psi\in L^{r}(\mathbb{R})\), for all \(1\leq r\leq\infty\).
-
(2)
Ψ is a radial decreasing \(L^{1}\)-majorant of ψ.
-
(3)
\(\sum_{j,k\in\mathbb{Z}} [\sup_{x\in\mathbb{R}}| \psi|(2^{j}x+k) ]^{q}<\infty\), for all \(p\leq q<\infty\).
-
(4)
\(\sum_{j,k\in\mathbb{Z}}\sup_{x\in\mathbb{R}}| \psi |^{q}(2^{j}x+k)<\infty\), for all \(p\leq q<\infty\).
Proof of Lemma 2.3(3)
(3) can be obtained by providing the equivalence as follows:
The finiteness does not depend on m or n.
\({\int_{0}^{\infty}\Psi^{p}(x)\,dx<\infty}\) and the part of ‘equivalence’ is obvious. Let
For any fixed \((m,n)\in\Omega\),
The finiteness does not depend on \((m,n)\) and can be proven by breaking k into parts. First,
Second, applying the Dirichlet test,
Because the double summation of (2.6) is finite, (2.5) is finite. We have
We will prove (2.6) by using a pedagogical argument. Assuming that (2.6) does not hold, and given \(V>0\), there exist \(j_{0}>m\), \(k_{0}\in \mathbb{Z}\), \(q_{1}, q_{2}\in\mathbb{N}\), such that
where \(j_{1}\in\{j_{0}, j_{0}+1, \ldots, j_{0}+q_{1}-1\}\), \(k_{1}\in\{k_{0}, k_{0}+1, \ldots, k_{0}+q_{2}-1\}\). There also exist \(x_{0}\) and \(n_{0}\in\mathbb{Z}\) with \(x_{0}\in[k_{1},k_{1}+2^{j_{1}-m})\) such that
where \(n_{1}:=\min\{| n_{0}|, | n_{0}+1|\}\). Performing integration on both sides,
This is a contradiction to \({\int_{0}^{\infty}\Psi^{p}(t)\,dt<\infty}\).
Putting \((m,n)=(0,1)\) into (2.4), we obtain
and this leads to
So (2.3) holds. □
3 \(L^{p}\)-Boundedness for affine operators
This section is designed to establish the Bernstein inequality. We investigate this question by constructing and administering a specially designed version of affine operator. By using CZD, we conclude that the operator is of type \((p,p)\), \(1< p<\infty\). Finally, stability of wavelet bi-frames was also characterized to convey their contribution to the Bernstein inequality. Special attention is given to the following.
Remark 3.1
The use of bi-frames was motivated by two facts.
-
1.
Dual frames of frames are not unique but infinite numbers [27]. Their structures are quite complicated and may not have a wavelet structure. Therefore, it will be more efficient to represent elements in Banach spaces via bi-frames compared to other types of frames/bases.
-
2.
Dual frames having no wavelet structure would make much impact on completeness problems in Lebesgue spaces [18], pp.130, 136, [28]. More details can be found in [26], Remark 2.2.
Let \(\{\phi_{j,k}:\phi\in\mathcal{M}^{1}, j,k\in\mathbb{Z}\}\) and \(\{\varphi_{j,k}:\varphi\in\mathcal{M}^{1}, j,k\in\mathbb{Z}\}\) be two Bessel sequences for \(L^{2}(\mathbb{R})\). We define the affine operator Q by
where \(\Theta:=\{\theta_{j,k}:j,k\in\mathbb{Z}\}\in l^{\infty}\). Q is of type \((2,2)\) since
Let \(\mathcal{F}_{\psi,\mathcal{M}^{1}}\) and \(\mathcal {F}_{\widetilde{\psi},\mathcal{M}^{1}}\) be a pair dual wavelet frames. We denote by \(P_{m}\) the projection from \(L^{2}({\mathbb{R}})\) onto a subspace of
We set
Theorem 3.2 is significantly superior to our early work [26] and [8, 9, 17]. It is not only so that the hypotheses are more flexible, but also the estimation is more complicated in comparison to [26]. Mainly, \(\{\widetilde{\psi}_{j,k}\}\) and \(\{\phi_{j,k}\}\) may not be biorthogonal in \(L^{2}(\mathbb{R})\). Theorem 3.2 motivates us to believe that linear independence has no significant effect on the boundedness for an affine operator.
Theorem 3.2
Under the hypotheses given above, the operator Q is of weak type \((1,1)\) and of type \((p,p)\), for all \(1< p<\infty\).
Proof for Theorem 3.2
Q is of weak type \((1,1)\) is based on two inequalities:
where \(A_{1}\) and \(B_{1}\) do not depend on f or α. Indeed, for all \(f\in L^{1}\cap L^{2}({\mathbb{R}})\) and \(\alpha>0\),
Suppose for the moment that we know, and then we will immediately see from the Marcinkiewicz interpolation theorem, that Q is of type \((p,p)\), \(1< p<2\), and thus by duality for all p, \(2< p<\infty\).
First, we claim that the first inequality holds. By Lemma 2.3 and the Dirichlet test, for any \((m,n), (m',n')\in\Omega\) with \(m\leq m'\), there exist constants \(M_{1}\), \(M_{2}\), and \(M_{3}\) which do not depend on m or n, such that
where, by the Dirichlet test,
The finiteness of N derives from the following.
-
1.
We recall that \(\{I_{m',n'}\}_{(m',n')\in\Omega}\) are disjoint. Under \(m\leq m'\) and \(p2^{m'-m}\leq n'<(p+1)2^{m'-m}\), we have
$$ I_{m',n'}\subset I_{m,p}. $$It shows that, for each p,
$$ {\sum_{m'=m}^{\infty}\sum _{n'=p2^{m'-m}}^{(p+1)2^{m'-m}-1}2^{-m'}< 2^{-m}}. $$ -
2.
For any finite terms of p, j, and k,
$$ \sum_{ \substack{p,j,k\\j< m} }\sup_{I_{m,p}}|\psi| \bigl(2^{j}x+k\bigr)\leq\sum_{\text{finite } k'}\sup _{[0,1)}|\psi|\bigl(x+k'\bigr)< \|\psi \|_{W(L^{\infty}, l^{1})}< \infty. $$
Next,
and it leads to \(\|g\|_{2}^{2}\leq(N+1)\alpha\|f\|_{1}\).
For the second inequality, we set
Finally, we note that \(m\{\mathbb{R}\setminus F^{*}\}<3/\alpha\|f\| _{1}\) and thus
 □
Next, we will characterize Lebesgue spaces by wavelet coefficients. There is considerable scattered literature about characterizing function spaces that depends only on wavelet coefficients: how the wavelet coefficients actually function, how they process information or are affected by individual’s aspects. For example, Borup et al. [3, 4] have written about the boundedness of synthesis operators based on the stability of wavelet coefficients. Daubechies [10], Section 9.2, Li and Sun [17], Proposition 3.2, and Meyer [18], Section 6.2, Theorem 1, have discussed \(L^{p}\) norms versus \(l^{p}\) norms of wavelet coefficients. Canuto and Tabacco [29], Härdle et al. [30], Proposition 8.3, and Wojtaszczyk [31], Section 8.1, have investigated \(l^{p}\)-stability for multilevel decompositions. Theorem 3.3 is done in the hope that it may provide an alternative solution to aspects mentioned. Additionally, Theorem 3.3 could have a considerable impact on establishing the Bernstein inequality and simplifying the analysis procedure.
Theorem 3.3
Let \(\mathcal{F}_{\psi,\mathcal{M}^{1}}\) and \(\mathcal {F}_{\widetilde{\psi},\mathcal{M}^{1}}\) be a pair of dual wavelet frames for \(L^{2}(\mathbb{R})\) and \(f= {\sum_{j,k\in\mathbb {Z}}a_{j,k}\psi_{j,k}}\in L^{p}(\mathbb{R})\), \(\{a_{j,k}\}\in l^{\infty }(\mathbb{Z}\times\mathbb{Z})\), \(1< p<\infty\). Then:
-
(1)
\(\|f\|_{p}\sim{ \| (\sum_{j,k\in\mathbb{Z}}| a_{j,k}|^{2}|\psi_{j,k}|^{2} )^{\frac{1}{2}} \|_{p}}\).
-
(2)
The primal wavelet frame \(\{\psi^{(p)}_{j,k}\}\) is unconditional and \(l^{p}\)-stable in \(L^{p}(\mathbb{R})\), for all \(1< p<\infty\).
Proof of Theorem 3.3
From Theorem 3.2, R has \(L^{p}\)-boundedness and \(\{\psi^{(p)}_{j,k}\}\) is unconditional in \(L^{p}(\mathbb{R})\). We have
Let \(\psi^{\ast}_{j,k}:= {| \psi_{j,k}^{(p)}|^{\frac{2}{p}} (\sum_{j,k\in\mathbb{Z}}| \psi_{j,k}^{(p)}|^{2} )^{\frac {1}{2}-\frac{1}{p}}}\). By following the lines of the proof in [32], Theorem 2, (1) can be obtained. From [32], Theorems 4 and 5, \(l^{p}\)-stability can be obtained by providing:
-
1.
\(\{\psi^{(p)}_{j,k}\}\) is unconditional in \(L^{p}(\mathbb{R})\);
-
2.
\({\inf_{j,k\in\mathbb{Z}}\|\psi^{\ast}_{j,k}\|_{p}>0}\) for all \(1< p<2\), and
-
3.
\({\sup_{j,k\in\mathbb{Z}}\|\psi^{\ast}_{j,k}\| _{p}<\infty}\) for all \(2\leq p<\infty\).
Indeed,
 □
4 Completeness for bi-frames in Lebesgue spaces
The findings in this section should contribute to a better understanding of how decay-based approaches affect, manage, and are of usage to problems we are concerned with. This section also demonstrates the feasibility of using decay (only-) based approaches in the Bernstein inequality.
Theorem 4.1
Let \(\mathcal{F}_{\psi,\mathcal{M}^{1}}\) and \(\mathcal {F}_{\widetilde{\psi},\mathcal{M}^{1}}\) be a pair of dual wavelet frames for \(L^{2}(\mathbb{R})\). Then:
-
(1)
The operator S associated \(\mathcal{F}_{\psi,\mathcal {M}^{1}}\) has \(L^{p}\)-boundedness, for all \(1< p<\infty\).
-
(2)
Both \(\mathcal{F}_{\psi,\mathcal{M}^{1}}\) and \(\mathcal {F}_{\widetilde{\psi},\mathcal{M}^{1}}\) are complete in \(L^{p}(\mathbb {R})\), \(1< p<\infty\).
Proof of Theorem 4.1
From Theorem 3.2, the operator S, \(R_{1}\) and \(R_{2}\) associated \(\mathcal{F}_{\psi,\mathcal {M}^{1}}\) and \(\mathcal{F}_{\widetilde{\psi},\mathcal{M}^{1}}\) have \(L^{p}\)-boundedness, for all \(1< p<\infty\). We have
Since \(L^{2}\cap L^{p}({\mathbb{R}})\) is a dense subset of \(L^{p}({\mathbb{R}})\), \(1< p<\infty\), we have
for any \(f\in L^{2}\cap L^{p}({\mathbb{R}})\). Thus, for each \(f\in L^{p}({\mathbb{R}})\), the series \(\sum_{j,k\in \mathbb{Z}}\langle f,\widetilde{\psi}_{j,k}\rangle \psi_{j,k}\) and \(\sum_{j,k\in\mathbb{Z}}\langle f,\psi_{j,k}\rangle \widetilde{\psi}_{j,k}\) converge unconditionally in \(L^{p}({\mathbb{R}})\) so that they must converge to f. □
Similar results are found in the aforementioned papers in Section 1. They were obtained by the technique of CZOs. Perceivably, (mild) smoothness is necessary for wavelets, and thus they do not support the Haar wavelet (compactly supported).
Furthermore, (bi)orthonormal wavelet bases and tight frames are trivial cases being wavelet bi-frames. Compactly supported wavelets certainly satisfy condition \(\mathcal{M}^{1}\) and thus Theorem 4.1 can be applied to all compactly supported wavelet bi-frames. We also note that Theorem 4.1 is significantly superior to the results [11, 20] based on decay-based approaches.
Theorem 4.1 ensures some typical wavelet frames are complete/unconditional bases for Lebesgue spaces. Of special interest are Haar wavelets, Daubechies’ wavelets [10], biorthogonal wavelets [33], Lemarié-Meyer wavelets [34, 35], and spline wavelets of high order (orthogonal [36, 37], semi-orthogonal [26, 38, 39], biorthogonal [33]). Bownik has constructed a wavelet tight frame \(\{\psi_{j,k}\}\) which is in the Schwartz class and \(\hat{\psi}\in C^{\infty}\) with compact support [40], p.219. The last paper [41] we refer to was written by Lemvig; he has constructed pairs of dual band-limited wavelet frames which are band-limited and come with the desired time localization.
Lemma 4.2 plays a crucial role in deriving the Bernstein inequality. Let \(\mathcal{F}_{\psi,\mathcal{M}^{1}}\) and \(\mathcal {F}_{\widetilde{\psi},\mathcal{M}^{1}}\) be a pair of dual wavelet frames for \(L^{2}(\mathbb{R})\). We consider the collection of all possible m-term expansions with elements from the primal wavelet frame \(\{\psi_{j,k}^{(p)}\}\), \(1< p<\infty\):
Lemma 4.2
Let \(\mathcal{F}_{\psi,\mathcal{M}^{1}}\) and \(\mathcal {F}_{\widetilde{\psi},\mathcal{M}^{1}}\) be a pair of dual wavelet frames for \(L^{2}(\mathbb{R})\). Given \(p\in(1,\infty)\), \(\frac{1}{\tau }=\alpha+\frac{1}{p}\), \(1\leq\tau< p\) and \(\alpha>0\), then, for any \(f\in\Upsilon_{m}\), the following inequality holds:
In particular, if \(\psi\in\mathcal{M}^{\tau}\) with \(\tau\in (L_{\psi},1)\), (4.2) also holds.
Proof of Lemma 4.2
From Lemma 2.3 and given \(x\in \mathbb{R}\), the series \(\sum_{j,k\in\Gamma}a_{j,k}\psi _{j,k}^{(p)}\) is absolutely convergent. For \(0<\tau<1\), \(\vert\sum_{j,k\in\Gamma}a_{j,k}\psi_{j,k}^{(p)} \vert^{\tau }\leq\sum_{j,k\in\Gamma} \vert a_{j,k}\psi_{j,k}^{(p)} \vert^{\tau}\).
For \(\tau\geq1\),
From the definition of \(| f|_{\mathcal{B}^{\alpha}}^{\tau}\) and the fact that the norm of operator \(\triangle ^{r}_{h}\) in \(L^{p}(\mathbb{R})\), \(1\leq p\leq\infty\), does not exceed \(2^{r}\), we have, for \(\tau\geq1\),
Setting \(u_{1}:=m^{\tau}2^{\alpha\tau l}(2^{j}x+k)\), we have
Setting \(u_{2}:=m^{\tau}2^{\alpha\tau l}(2^{\frac{\tau j}{p}}x+2^{-\tau\alpha j}k)\), we have
Setting \(u_{3}:=m^{\tau}(2^{j}x+k)\), we have
Setting \(u_{4}:=m^{\tau}(2^{\frac{\tau j}{p}}x+2^{-\tau\alpha j}k)\), we have
Therefore, we conclude (4.2). By using the method described above, (4.2) also holds for \(0<\tau<1\). □
The proof of Theorem 4.3 is based on the ideas expressed in [42], Theorem 3.1. However, our hypotheses are more flexible and clear. While DeVore’s proof is only applicable to orthogonal wavelet bases, our result can be applied to a larger family.
Theorem 4.3
Let \(\mathcal{F}_{\psi,\mathcal{M}^{1}}\) and \(\mathcal {F}_{\widetilde{\psi},\mathcal{M}^{1}}\) be a pair of dual wavelet frames for \(L^{2}(\mathbb{R})\). Given \(p\in(1,\infty)\), \(\frac{1}{\tau }=\alpha+\frac{1}{p}\), \(1\leq\tau< p\) and \(\alpha>0\), then, for any \(f\in\Upsilon_{m}\), the Bernstein inequality holds. That is,
In particular, if \(\psi\in\mathcal{M}^{\tau}\) with \(\tau\in (L_{\psi},1)\), (4.3) also holds.
Proof of Theorem 4.3
We denote \(I_{j,-k}:=[\frac {-k}{2^{j}},\frac{-k+1}{2^{j}})\) and \(\chi_{I_{j,-k}}\) is the indicator function for \(I_{j,-k}\). We order the intervals of Γ in order of non-decreasing size \(I_{j_{1},-k_{1}}^{1}, I_{j_{2},-k_{2}}^{2}, \ldots, I_{j_{r},-k_{r}}^{r}\) where \(r\leq m\). We let \(E_{s}:=I_{j_{s},-k_{s}}^{s}\setminus \bigcup\{I_{j_{t},-k_{t}}^{t}:t< s\}\). Then the sets \(\{E_{s}:s=1, 2, 3, \ldots , r\}\) are disjoint. From Lemma 4.2, we have
where \(\sum_{(j,k)\in\Gamma} (2^{j\alpha}\chi _{I_{j,-k}}(x) )^{\tau}\lesssim2^{j_{s} \tau\alpha}\) for \(x\in E_{s}\). Now,
Since \(| E_{s}|\leq| I_{j_{s},-k_{s}}^{s}|\), \(1=\tau\alpha+\frac{\tau}{p}=\frac {1}{\frac{1}{\tau\alpha}}+\frac{1}{\frac{p}{\tau}}\) and \(\|f_{0}\| _{p}=\|\{a_{j,k}\}\|_{l^{p}} \sim\|f\|_{p}\) (see Theorem 3.3), we have
 □
Special attention is given to the following.
Corollary 4.4
Let \(\mathcal{F}_{\psi}\) and \(\mathcal{F}_{\widetilde{\psi}}\) be a pair of dual wavelet frames with compactly supported for \(L^{2}(\mathbb {R})\). Given \(p\in(1,\infty)\), \(\frac{1}{\tau}=\alpha+\frac{1}{p}\), \(0<\tau<p\) and \(\alpha>0\), then, for any \(f\in\Upsilon_{m}\), the Bernstein inequality holds. That is,
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Wang, KC., Chang, KF., Yang, CI. et al. A Bernstein type inequality associated with wavelet bi-frame decomposition. J Inequal Appl 2016, 244 (2016). https://doi.org/10.1186/s13660-016-1189-7
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DOI: https://doi.org/10.1186/s13660-016-1189-7