- Research
- Open access
- Published:
Decay properties of the discrete wavelet transform in n dimensions with independent dilation parameters
Journal of Inequalities and Applications volume 2016, Article number: 19 (2016)
Abstract
The purpose of this paper is to study the decay properties of the discrete wavelet transform with n independent dilation parameters for functions f in \(L^{2}({ {\mathbb {R}}}^{n})\) and a relationship with its continuity.
The method we used to study the discrete wavelet transform of f with respect to a radially symmetric admissible function was through the fact of considering two parameters in \({ {\mathbb {Z}}}^{n}\).
We conclude that the continuity of f at \(x=0\) is determined by the existence of the limit of the discrete wavelet transform when each one of the independent dilation parameters tends to zero.
1 Introduction
It is already known that the discrete wavelet transform has been applied to detect local singularities of signals. In [1] the discrete wavelet transform has been used to study the local continuity of functions f in \(L^{2}({ {\mathbb {R}}})\). In [2] the Lipschitz exponent, together with the discrete wavelet transform, has been applied in the estimation of function differentiability, and the type of wavelet helps to detect local discontinuities.
In the n-dimensional case, the study of singularities of functions f in \(L^{2}({ {\mathbb {R}}}^{n})\) has been also studied by means of the discrete wavelet transform [3].
In fact, in [3] the discrete wavelet transform for a given function f in \(L^{2}({ {\mathbb {R}}}^{n})\) with respect to an admissible function h in \(L^{2}({ {\mathbb {R}}}^{n})\) is defined as:
where \(a >1\) and \(b > 0\) are fixed, \(l \in { {\mathbb {Z}}}\), \(k \in { {\mathbb {Z}}}^{n}\), and \(T_{a^{l}bk}h\) and \(J_{a^{l}}h\) are the translation and dilation operators, respectively. Note that in [3] only one parameter \(k \in { {\mathbb {Z}}}^{n}\) is used, and the same dilation parameter \(a^{l}\) is used in all the dimensions.
In this paper, we use again the discrete wavelet transform in n dimensions to study the continuity of functions f in \(L^{2}({ {\mathbb {R}}}^{n})\), but the main difference with the result given in [3] is that now we use two parameters j, k in \({ {\mathbb {Z}}}^{n}\) instead of only one parameter in \({ {\mathbb {Z}}}^{n}\). We should say that even though the discrete wavelet transform depends of j, k, where \((j, k) \in { {\mathbb {Z}}}^{n} \times { {\mathbb {Z}}}^{n} \), our approach to prove the continuity of \(f \in L^{2}({ {\mathbb {R}}}^{n})\) is by considering the space \(M_{n}({ {\mathbb {R}}}) \times { {\mathbb {R}}}^{n} \). That is,
-
(1)
for \(j = (j_{1}, j_{2}, \ldots, j_{n})\) in \({ {\mathbb {Z}}}^{n}\) and for \(a > 1\), we define the matrix \(M(a^{j})\) as the diagonal matrix whose entries are \(a^{j_{i}}\), \(i = 1, 2, \ldots, n\), and
-
(2)
for \(b = (b_{1}, b_{2}, \ldots, b_{n})\) in \({ {\mathbb {R}}}^{n}\) with \(b_{i} > 0\), \(i = 1, 2, \ldots, n\), we define the matrix \(M(b)\) as the diagonal matrix whose entries are \(b_{i}\), \(i = 1, 2, \ldots, n\).
Then in this case, the discrete wavelet transform for \(f \in L^{2}({ {\mathbb {R}}}^{n})\) with respect to a radially symmetric admissible function \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{n})\) is now defined as
where \(j, k \in { {\mathbb {Z}}}^{n}\), and \(T_{M^{-1}(a^{j}) M(b) k}\) and \(J_{M^{-1}(a^{j})}\) are the translation and dilation operators, respectively.
Thus, by using (1.2) we establish a relationship of local continuity of functions \(f \in L^{2}({ {\mathbb {R}}}^{n})\) with the decay property of their discrete wavelet transform. To study this fact, we use the following reconstruction formula:
where A is a positive constant, and the convergence is in the weak sense [4].
Also, matrix operators have been applied to define extensions of wavelet transforms. For instance, in [5] tight frames of curvelets are presented to address the problem of finding optimally sparse representation of objects with discontinuities along \(C^{2}\) edges. In [6] a parabolic directional dilation matrix in \(R^{2}\) is used to derive a discrete tight frame by sampling the continuous curvelet transform (CCT) [7] at dyadic intervals in scale \(a_{j}=2^{-j}\), at equispaced intervals in direction, \(\theta_{j,l}=2\pi2^{-\frac{j}{2}}l\), and equispaced sampling on a rotated anisotropic grid in space. In [8] the shearlet transform is presented by using an anisotropic dilation matrix and a shear matrix, which allow one to construct Parseval frames whose elements range not only at various scales and locations, but also at various orientations to deal with two-dimensional signals containing discontinuities such as edges.
Integral transforms have several applications once they can be defined in the space of continuous functions, and several types of convergence can be studied. For instance, in [9] the fractional Sumudu transform of arbitrary order is investigated on some space of integrable Boehmians. The fractional Sumudu transform of an integrable Boehmian is well defined, linear, and sequentially complete in the space of continuous functions, and its convergence is studied. In [10] some generalization of the S-transform is presented in a space of rapidly decreasing Boehmians, and its continuity with respect to the δ and Δ-convergence is discussed. In [11] some generalization of a class of Hankel-Clifford transformations having Fox H-function as part of its kernel on a class of Boehmians is investigated, as well as its continuity with respect to the δ and Δ-convergence.
In fact, our main result is the following:
Theorem 1
Let f be in \(L^{2}({ {\mathbb {R}}}^{n})\) and consider \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{n})\) with h admissible and radially symmetric so that \(T_{M^{-1}(a^{j})M(b)k} J_{M^{-1}(a^{j})} h\) is a tight frame that satisfies (1.3). If
exists for any \(x_{1}\) in an open neighborhood of 0, then f is continuous at \(x=0\).
2 Notation and definitions
In this section we define two operators in n dimensions, namely, the dilation operator and the translation operator. In this case, both operators are defined as diagonal matrices with n independent entries.
Definition 1
For \(a > 1\) and \(j = (j_{1}, j_{2}, \ldots, j_{n})\) in \({ {\mathbb {Z}}}^{n}\), define the \(n \times n\) matrix \(M(a^{j})\) as
Note that for \(a > 1\) and j in \({ {\mathbb {Z}}}^{n}\),
Definition 2
For \(b = (b_{1}, b_{2}, \ldots, b_{n})\) in \({ {\mathbb {R}}}^{n}_{+}\), define the \(n \times n\) matrix \(M(b)\) as:
Under this approach, an independent dilation parameter \(a^{j_{i}}\) is used in each dimension as a generalization of the case where a single dilation parameter is used in all the dimensions [3].
Now, for fixed \(a > 1\) and \(b=(b_{1}, b_{2}, \dots, b_{n})\) in \({ {\mathbb {R}}}^{n}_{+}\), define for \(j = (j_{1}, j_{2}, \ldots, j_{n})\) in \({ {\mathbb {Z}}}^{n} \) and \(k= (k_{1}, k_{2}, \ldots, k_{n})\) also in \({ {\mathbb {Z}}}^{n}\), the dilation and translation operators.
Definition 3
Given h in \(L^{2}({ {\mathbb {R}}}^{n})\), define
-
(1)
the dilation operator \(J_{M(a^{j})}:L^{2}({ {\mathbb {R}}}^{n}) \to L^{2}({ {\mathbb {R}}}^{n})\) as
$$ (J_{M(a^{j})} h) (x) = \frac{1}{\sqrt{ \operatorname{det} M(a^{j})}} h \bigl( M^{-1}\bigl(a^{j}\bigr)x \bigr), $$(2.4)where \(x \in { {\mathbb {R}}}^{n}\), \(a > 1\), and \(j \in { {\mathbb {Z}}}^{n}\);
-
(2)
the translation operator \(T_{M^{-1}(a^{j})M(b)k}:L^{2}({ {\mathbb {R}}}^{n}) \to L^{2}({ {\mathbb {R}}}^{n})\) as
$$ (T_{M^{-1}(a^{j})M(b)k}h) (x) = h \bigl(x - M^{-1} \bigl(a^{j}\bigr)M(b)k \bigr), $$(2.5)where \(x \in { {\mathbb {R}}}^{n}\), \(b \in { {\mathbb {R}}}^{n}_{+}\), and \(k \in { {\mathbb {Z}}}^{n}\).
Note that the operators \(J_{M(a^{j})}\), and \(T_{M^{-1}(a^{j})M(b)k}\) satisfy, for h in \(L^{2}({ {\mathbb {R}}}^{n})\),
Hence, for f and g in \(L^{2}({ {\mathbb {R}}}^{n})\),
3 The discrete wavelet transform
In this section we define the discrete wavelet transform for functions \(f \in L^{2}({ {\mathbb {R}}}^{n})\) with respect to a radially admissible function in n dimensions using an independent dilation parameter for each dimension. Moreover, we will prove that the continuity of f at \(x = 0\) will determine the decay of its discrete wavelet transform.
Definition 4
Suppose that h in \(L^{2}({ {\mathbb {R}}}^{n})\) is radially symmetric and satisfies the admissibility condition \(\int_{0}^{\infty} |\eta(k)|^{2} \frac{1}{|k|} \,dk < \infty\), where \(\widehat{h}(y) = \eta(|y|)\). Then the discrete wavelet transform of f in \(L^{2}({ {\mathbb {R}}}^{n})\) with respect to h is defined as
where \(a > 1\) and \(b \in { {\mathbb {R}}}^{n}_{+}\) are fixed, and j and k are in \({ {\mathbb {Z}}}^{n}\).
Note that in this case, \(M^{-1}(a^{j}) \in M_{n}({ {\mathbb {R}}})\), where \(M_{n}({ {\mathbb {R}}})\) denotes the space of all \(n \times n\) matrices with entries in \({ {\mathbb {R}}}\), and \(M^{-1}(a^{j})M(b)k \in { {\mathbb {R}}}^{n}\). Furthermore, from (2.5) and (2.4) we have
Also, note that by (3.2) the discrete wavelet transform can be written as a convolution. That is, we have the following result.
Lemma 1
If h in \(L^{2}({ {\mathbb {R}}}^{n})\) is admissible and the support of h is compact, then for f in \(L^{2}({ {\mathbb {R}}}^{n})\),
where ∼ means \(h^{\sim}(x) = h(-x)\).
Proof
According to (3.2),
□
Then we have the following result.
Lemma 2
Suppose that \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{n})\) is admissible, radially symmetric, \(h \neq0\), and \(\widehat{h} (0) = 0\). Let
Then \({\mathcal {L}}_{h}f\) is continuous at any point \((M^{-1}(a^{j}), M^{-1}(a^{j})M(b)k)\) in \(M_{n}({ {\mathbb {R}}}) \times { {\mathbb {R}}}^{n}\). Furthermore, if \(f \in L^{2}({ {\mathbb {R}}}^{n})\) is continuous in a neighborhood of \(x = 0 \in { {\mathbb {R}}}^{n}\), then for any k in \({ {\mathbb {Z}}}^{n}\),
Proof
First, we show that \({\mathcal {L}}_{h}f\) is continuous at any point \((M^{-1}(a^{j}), M^{-1}(a^{j})M(b)k)\) in \(M_{n}({ {\mathbb {R}}}) \times { {\mathbb {R}}}^{n}\). Since \(f \in L^{2}({ {\mathbb {R}}}^{n})\) and \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{n})\), it follows that \((J_{M^{-1}(a^{j})} \overline{h} )^{\sim} * f \in C^{\infty}({ {\mathbb {R}}}^{n})\), [12]. Thus, from (3.3) we have that
is continuous at any point \((M^{-1}(a^{j}), M^{-1}(a^{j})M(b)k)\) in \(M_{n}({{\mathbb {R}}}) \times { {\mathbb {R}}}^{n}\).
Next, we will show that the continuity of \(f \in L^{2}({ {\mathbb {R}}}^{n})\) implies the existence of the limit of \({\mathcal {L}}_{h}f\) as \({(M^{-1}(a^{j}), M^{-1}(a^{j})M(b)k) \to(0, 0)} \).
Note that by considering the Frobenius norm in \(M_{n}({ {\mathbb {R}}})\) given by \(\| Q\| = \langle Q, Q \rangle ^{\frac{1}{2}}\), from (2.2) we have that \(M^{-1}(a^{j}) \to0\) is equivalent to \(j \to+\infty\).
Then, since supph is compact, there is \(L > 0\) such that \(\operatorname{supp} h \subset B_{L}(0)\). Thus, by (2.7),
Hence, by (3.4),
Thus, since f is continuous near \(0 \in { {\mathbb {R}}}^{n}\), it follows that for any \(k \in { {\mathbb {Z}}}^{n}\),
This completes the proof of Lemma 2. □
4 Proof of main theorem
In this section we will prove the converse of Lemma 2, which is our main result given in Theorem 1. That is, the convergence of the discrete wavelet transform determines the continuity of f at zero. So, in order to analyze this result, we first give the definition of a tight frame [13].
Definition 5
A family of functions \((h_{\alpha})_{\alpha\in \Omega}\) in a Hilbert space H is called a frame if there are constants \(A > 0\) and \(B < +\infty\) such that for all f in H,
If \(A = B\), then the frame \((h_{\alpha})_{\alpha\in\Omega}\) is called a tight frame. In this case,
Hence,
where the convergence is in the weak sense.
On the other hand, if there is \(b_{0} >0\) such that for any \(b=(b_{1}, b_{2}, \dots, b_{n})\) in \({ {\mathbb {R}}}^{n}\) with \(b_{i} \in(0, b_{0})\), the family \(T_{M^{-1}(a^{j})M(b)k}J_{M^{-1}(a^{j})}h\) is a frame in \(L^{2}({ {\mathbb {R}}}^{n})\), and if conditions (2), (3), and (4) given in [4] are satisfied, then by Theorem 2 in [4] there exist \(A>0\) and \(B < +\infty\) such that
Hence, if \(A =B\), then by (4.2), if \(h \in L^{2}({ {\mathbb {R}}}^{n})\) is admissible, then we get the inversion formula given in (1.3).
Proof of Theorem 1
Suppose that
exists for any \(z_{1}\) in an open neighborhood containing the closed ball \(\overline{B_{R}(0)}\), with \(R>0\).
On the other hand, for fixed x in \(\overline{B_{R}(0)}\) and y in \({{\mathbb {R}}}^{n}\), let
Note that for such x in \(\overline{B_{R}(0)}\), the function \({\mathcal {I}}\) is well defined for all \(M(a^{j})\) in \(M_{n}({ {\mathbb {R}}})\) and \(y - M(b)k\) in \({ {\mathbb {R}}}^{n}\). Then we have the following three claims (see Appendix for the proofs).
Claim 4.1
The function \({\mathcal {I}}\) is continuous on \(M_{n}({ {\mathbb {R}}}) \times\overline {B_{R}(0)} \times { {\mathbb {R}}}^{n}\).
Claim 4.2
For fixed x in \(\overline{B_{R}(0)}\), the double series
converges uniformly on \(\overline{B_{R}(0)}\).
Claim 4.3
For fixed x in \(\overline{B_{R}(0)}\) and \((M^{-1}(a^{j}), y - M(b)k )\) in \(M_{n}({ {\mathbb {R}}}) \times { {\mathbb {R}}}^{n}\), let
Then the function w is continuous at \(x = 0\).
Coming back to the proof of Theorem 1, for any \(p=(p_{1}, p_{2}, \dots, p_{n}) \in Z^{n}\) with \(p_{i} \ge0\) and any x in \({ {\mathbb {R}}}^{n}\), define
Then by Claim 4.3, for any \(x \in { {\mathbb {R}}}^{n}\),
That is, \(U_{p} \to w\) pointwise as \(p \to\infty\).
On the other hand, by (1.3) we have \(U_{p} \to Af\) weakly on \(L^{2}(M_{n}({ {\mathbb {R}}}) \times { {\mathbb {R}}}^{n})\). Hence, \(f = A^{-1} w\) almost everywhere. Thus, by Claim 4.3 the function f is continuous at \(x =0\).
This completes the proof of Theorem 1. □
5 Examples
Example of Lemma 2 . Consider \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{n})\) a radially symmetric admissible function such that \(h \neq0\) and \(\widehat{h}(0)=0\). Since \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{n})\), there is \(L>0\) such that \(\operatorname{supp} h \subset B_{L}(0)\).
Now, take \(a=2\), \(M(b)=I \in M_{n}({ {\mathbb {R}}})\), \(\mathbf{X} = (x_{1}, \dots, x_{n}) \in { {\mathbb {R}}}^{n}\), \(j = (j_{1}, \dots, j_{n}) \in { {\mathbb {Z}}}^{n}\), and \(k = (k_{1}, \dots, k_{n}) \in { {\mathbb {Z}}}^{n}\).
Let us consider \(f(x_{1}, \dots, x_{n})= \sum_{i=1}^{n} x_{i}^{2}+ \sum_{i=1}^{n} x_{i} + c\) with \(c \neq0\). Note that f is continuous at \((0,\dots, 0)\).
Now, by (3.6),
Since
we have
Because of \(\widehat{h}(0)=0\) and \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{n})\),
which is consistent with the result given in Lemma 2.
Example of main theorem. Suppose that \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{2})\) is a radially symmetric admissible function with \(\widehat{h}(0)=0\) and \(h \neq0\).
Take \(a=2\) and \(M(b)=I \in M_{n}({ {\mathbb {R}}})\) and consider \(f(x_{1}, x_{2}) = \frac{1}{\vert x_{1} \vert}\), which is not continuous at \((0, 0)\).
Since \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{2})\), there is \(L > 0\) such that \(\operatorname{supp} h \subset B_{L}(0)\).
Now, by (3.6),
Note that \(f(M^{-1}(2^{j})(x + k)) = f(\frac{x_{1}+k_{1}}{2^{j_{1}}}, \frac {x_{2}+k_{2}}{2^{j_{2}}}) = \frac{2^{j_{1}}}{\vert x_{1}+k_{1} \vert}\).
Then
Choose \(k=(k_{1}, k_{2}) \in { {\mathbb {Z}}}^{2}\) with \(k_{1} > L\) such that
Then
does not exist for \(j=(j_{1}, j_{2})\).
This is consistent with the result given in Theorem 1.
References
Navarro, J, Herrera, O: The convergence of the discrete wavelet transform. Int. J. Wavelets Multiresolut. Inf. Process. 10, 1250060 (2012). doi:10.1142/s0219691312500609
Blaszczuk, J, Pozorski, Z: Application to the Lipschitz exponent and the wavelet transform to function discontinuity estimation. Sci. Res. Inst. Math. Comp. Sci. 6(1), 23-30 (2007)
Navarro, J, Herrera, O: On the continuity of the discrete wavelet transform based on n-dimensional tight frames. Int. J. Funct. Anal. Oper. Theory Appl. 5(1), 1-18 (2013)
Kugarajah, T, Qinghua, Z: Multidimensional wavelet frames. IEEE Trans. Neural Netw. 6(6), 1552-1556 (1995)
Candès, EJ, Donoho, DL: New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities. Commun. Pure Appl. Math. 57(2), 219-266 (2004)
Candès, EJ, Donoho, DL: Continuous curvelet transform: II. Discretization and frames. Appl. Comput. Harmon. Anal. 19(2), 198-222 (2005)
Candès, EJ, Donoho, DL: Continuous curvelet transform: I. Resolution of the wavefront set. Appl. Comput. Harmon. Anal. 19(2), 162-197 (2005)
Easley, G, Labate, D, Lim, WQ: Sparse directional image representations using the discrete shearlet transform. Appl. Comput. Harmon. Anal. 25(1), 25-46 (2008)
Al-Omari, SKQ, Agarwal, P: Some general properties of a fractional Sumudu transform in the class of Boehmians. Kuwait J. Sci. Eng. (2015, to appear)
Choi, J, Al-Omari, SKQ, Agarwal, P: Note on the transform S and its generalization in the space of Boehmians. Int. J. Appl. Math. Anal. 9(50), 2489-2504 (2015). doi:10.12988/ijma.2015.58206
Agarwal, P, Al-Omari, SKQ, Choi, J: Real covering of the generalized Hankel-Clifford transform of Fox kernel type of a class of Boehmians. Bull. Korean Math. Soc. 52(5), 1607-1619 (2015). doi:10.4134/BKMS.2015.52.5.1607
Folland, GB: A Course in Abstract Harmonic Analysis. CRC Press, Florida (1995)
Daubechies, I: Ten Lectures on Wavelets. SIAM, Philadelphia (1992)
Acknowledgements
The authors would like to thank the referees for giving useful suggestions for improving the work.
Author information
Authors and Affiliations
Corresponding author
Additional information
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
The two authors jointly worked on deriving the results and approved the final manuscript.
Appendix
Appendix
Proof of Claim 4.1
Case (1) If \(M^{-1}(a^{j}) \nrightarrow 0\), then
Now, since \(f \in L^{2}({ {\mathbb {R}}}^{n})\) and \(h \in C_{0}^{\infty}({ {\mathbb {R}}}^{n})\), it follows that \((J_{M^{-1}(a^{j})}\overline{h} )^{\sim}* f \) is of class \(C^{\infty }\) [12]. Then, by (3.3), the function \(\mathcal {I}\) is continuous on \(M_{n}({ {\mathbb {R}}}) \times\overline{B_{R}(0)} \times { {\mathbb {R}}}^{n}\).
Case (2) If \(M^{-1}(a^{j}) \to0\), then by (4.3), for any \(x_{1}\) in \(\overline{B_{R}(0)}\),
This completes the proof of Claim 4.1. □
Proof of Claim 4.2
In the case that \(j \nrightarrow\infty\), from (4.4) and (3.4) we have
Then following (1) of equation (2.6), we have
Now, for \(p=(p_{1}, p_{2}, \dots, p_{n}) \in { {\mathbb {Z}}}^{n}_{+}\) and \(j=(j_{1}, j_{2}, \dots, j_{n}) \in Z^{n}\), define, for \(i=1, 2, \dots, n\),
Then, for all \((M^{-1}(a^{j}), y - M(b)k) \in M_{n}({ {\mathbb {R}}}) \times { {\mathbb {R}}}^{n}\),
Then
Note that for the case that \(j \nrightarrow\infty\), it follows that \(j_{i} \nrightarrow+\infty\) for \(i = 1, 2, \ldots, n\). Thus, we will consider only summations over \(j_{i}\) from −∞ to \(p_{i}\).
Now, with respect to the sum over \(k \in { {\mathbb {Z}}}^{n}\), since supph is compact, there is \(L > 0\) such that \(\operatorname{supp} h \subset B_{L}(0)\). So, there is a positive integer \(N > L\) such that \(h ( - y + M(b)k ) = 0\) for \(k= (k_{1}, k_{2}, \dots, k_{n} ) \in { {\mathbb {Z}}}^{n}\) with \(k_{i} > N\) for \(i=1, 2, \dots,n\). Hence, we can consider the series over \(k_{i} \in { {\mathbb {Z}}}\) only from −N to N.
Thus, if we set
and
then equation (A.2) can be written as
Now, let \(S = \operatorname{Sup} \vert h (-y + M(b)k) \vert \) where \(-L \le-y + M(b)k \le L\), and since \(a > 1\), it follows that the double series given in the first term in (A.3) given by
converges to
Using the same argument, we can prove that the remaining sequences of series that contain at least one index \(j_{i}\) from \(j_{i} = -\infty\) to \(-p_{i} -1\) also converge.
On the other hand, note that, by Claim 4.1, the function \(\mathcal {I}\) is continuous. Thus, the double series in the last term in (A.3) given by
also converges.
Thus,
Hence, for fixed \(x \in\overline{B_{R}(0)}\), we get from (A.1) that
This proves Claim 4.2. □
Proof of Claim 4.3
By Claim 4.1 the function \({\mathcal {I}}\) is continuous on \(M_{n}({ {\mathbb {R}}}) \times\overline{B_{L}(0)} \times { {\mathbb {R}}}^{n}\), and by Claim 4.2 the double series
converges uniformly on \(\overline{B_{L}(0)}\). In particular, for \(x = 0\), the double series
converges absolutely and uniformly on \(\overline{B_{L}(0)}\).
Hence,
This proves Claim 4.3. □
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
About this article
Cite this article
Navarro, J., Herrera, O. Decay properties of the discrete wavelet transform in n dimensions with independent dilation parameters. J Inequal Appl 2016, 19 (2016). https://doi.org/10.1186/s13660-016-0961-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s13660-016-0961-z