$p$-Adic Haar multiresolution analysis
V. M. Shelkovich, M. Skopina

TL;DR
This paper introduces a $p$-adic multiresolution analysis based on a natural refinement equation, leading to a new class of orthonormal wavelet bases in ${\\cL}^2(\\bQ_2)$ with potential applications in $p$-adic pseudo-differential operators.
Contribution
It develops a $p$-adic Haar MRA with a periodic refinable function, revealing infinitely many wavelet bases in the $p$-adic setting, unlike the real case.
Findings
Constructed multiple $p$-adic orthonormal wavelet bases
The refinable function is periodic with period 1
Infinite wavelet bases generated by the same MRA
Abstract
In this paper, the notion of {\em -adic multiresolution analysis (MRA)} is introduced. We use a ``natural'' refinement equation whose solution (a refinable function) is the characteristic function of the unit disc. This equation reflects the fact that the characteristic function of the unit disc is the sum of characteristic functions of disjoint discs of radius . The case is studied in detail. Our MRA is a 2-adic analog of the real Haar MRA. But in contrast to the real setting, the refinable function generating our Haar MRA is periodic with period 1, which never holds for real refinable functions. This fact implies that there exist infinity many different 2-adic orthonormal wavelet bases in generated by the same Haar MRA. All of these bases are constructed. Since -adic pseudo-differential operators are closely related to wavelet-type bases, our…
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Taxonomy
Topicsadvanced mathematical theories · Mathematical Dynamics and Fractals
-Adic Haar multiresolution analysis
V. M. Shelkovich
Department of Mathematics, St.-Petersburg State Architecture and Civil Engineering University, 2 Krasnoarmeiskaya 4, 190005, St. Petersburg, Russia. Phone: +7 (812) 2517549 Fax: +7 (812) 3165872
and
M. Skopina
Department of Applied Mathematics and Control Processes, St. Petersburg State University, Universitetskii pr.-35, Petrodvorets, 198504 St. Petersburg, Russia. Phone: +7 (812) 51326090 Fax: +7 (812)
Abstract.
In this paper, the notion of -adic multiresolution analysis (MRA) is introduced. We use a “natural” refinement equation whose solution (a refinable function) is the characteristic function of the unit disc. This equation reflects the fact that the characteristic function of the unit disc is the sum of characteristic functions of disjoint discs of radius . The case is studied in detail. Our MRA is a -adic analog of the real Haar MRA. But in contrast to the real setting, the refinable function generating our Haar MRA is periodic with period , which never holds for real refinable functions. This fact implies that there exist infinity many different -adic orthonormal wavelet bases in generated by the same Haar MRA. All of these bases are constructed. Since -adic pseudo-differential operators are closely related to wavelet-type bases, our bases can be intensively used for applications.
Key words and phrases:
-adic multiresolution analysis, -adic compactly supported wavelets.
2000 Mathematics Subject Classification:
Primary 11F85, 42C40; Secondary 46F10
The first author (V. S.) was also supported in part by DFG Project 436 RUS 113/809 and Grant 05-01-04002-NNIOa of Russian Foundation for Basic Research.
††copyright: ©2000: American Mathematical Society
1. Introduction
1.1. -Adic wavelets and pseudo-differential operators.
According to the well-known Ostrovsky theorem, any nontrivial valuation on the field is equivalent either to the real valuation or to one of the -adic valuations . We recall that the field of -adic numbers is defined as the completion of the field of rational numbers with respect to the non-Archimedean -adic norm . This norm is defined as follows: if an arbitrary rational number is represented as , where , and and are not divisible by , then
[TABLE]
This norm in satisfies the strong triangle inequality .
Thus there are two equal in rights universes: the real universes and the -adic one. The latter has a specific and unusual properties. Nevertheless, there are a lot of papers where different applications of -adic analysis to physical problems, stochastics, cognitive sciences and psychology are studied [6]– [10], [13]– [19], [34]– [36] (see also the references therein). In view of the Ostrovsky theorem such investigations not only have great interest in itself, but lead to applications and better understanding of similar problems in usual mathematical physics.
We recall that there exists a -adic analysis connected with the mapping into and an analysis connected with the mapping into the field of complex numbers , there exist two types of -adic physics models. For the -adic analysis related to the mapping the operation of partial differentiation is not defined, and as a result, large number of models connected with -adic differential equations use pseudo-differential operators and the theory of -adic distributions (generalized functions) (see the above mentioned papers and books). In particular, fractional operators are extensively used in applications (see fore-quoted papers and especially [34]).
It is well known that the theory of -adic pseudo-differential operators (in particular, fractional operators) and equations closely related to wavelet type bases. It is typical that -adic compactly supported wavelets are eigenfunctions of -adic pseudo-differential operators [3]– [5], [16], [17], [18], [20] – [22]. Thus the wavelet theory plays a key role in application of -adic analysis and gives a new powerful technique for solving -adic problems. This theory starts development only in resent years and has many open problems.
In [20], S. V. Kozyrev constructed the orthonormal compactly supported -adic wavelet basis (1.2) in :
[TABLE]
, , . Kozyrev’s wavelets (1.2) are eigenfunctions of the Vladimirov fractional operator [34, IX]. Further development and generalization of the theory of such type wavelets can be found in the papers by S. V. Kozyrev [21], [22], A. Yu. Khrennikov, and S. V. Kozyrev [16], [17], J. J. Benedetto, and R. L. Benedetto [8], and R. L. Benedetto [9]. In [3], the multidimensional -adic wavelets generated by direct product of the Kozyrev one-dimensional wavelets were introduced. In [18], a new type of -adic multidimensional wavelet basis was introduced:
[TABLE]
where , , . Here J_{p;m}=\{s=p^{-m}\big{(}s_{0}+s_{1}p+\cdots+s_{m-1}p^{m-1}\big{)}:s_{j}=0,1,\dots,p-1;\,j=0,1,\dots,m-1;s_{0}\neq 0\}, is a fixed positive integer. The multidimensional wavelets from [3] are a particular case of the last wavelets. Moreover, in [3], [18], there were derived the necessary and sufficient conditions for a class of multidimensional -adic pseudo-differential operators (including fractional operator) to have such multidimensional wavelets as eigenfunctions.
It remains to point out that for pseudo-differential operators from [3], [18] a “natural” definition domain is the Lizorkin spaces of distributions , introduced in [3]. The space is invariant under the mentioned above pseudo-differential operators. Moreover, the above mentioned -adic wavelets belong to the Lizorkin space of test functions. Recall that the usual Lizorkin spaces were studied in the excellent papers of P. I. Lizorkin [24], [25] (see also [29], [30]).
It’s interesting to compare appearing first wavelets in -adic analysis with the history of the wavelet theory in real analysis. In 1910 Haar [12] constructed an orthogonal basis for consisting of the dyadic shifts and scales of one piecewise constant function. A lot of mathematicians actively studied Haar basis, different kinds of generalizations were introduced, but during almost the whole century nobody could find another wavelet function (a function whose shifts and scales form an orthogonal basis). Only in early nineties a method for construction of wavelet functions appeared. This method is based on the notion of multiresolution analysis (MRA in the sequel) introduced by Y. Meyer and S. Mallat [28], [26], [27]. Smooth compactly supported wavelet functions were found in this way, which has been very important for some engineering applications. In this paper we introduce MRA in and present a concrete MRA for being an analog of Haar MRA in . The same scheme as in the real setting leads to a Haar basis. It turned out that this Haar basis coincides with Kozyrev’s wavelet system. However, 2-adic Haar MRA is not an identical copy of its real analog. In contrast to Haar MRA in , we proved that there exist infinity many different Haar orthogonal bases in generated by the same MRA.
1.2. Contents of the paper.
In Sec. 2, we recall some facts from the -adic theory of distributions [11], [32], [33], [34]. In Sec. 3, some facts from the theory of the -adic Lizorkin spaces [3] are recalled.
In Sec. 4, by Definition 4.1 we introduce the MRA adapted to the -adic case. In Subsec. 4.2, we introduce the refinement equation (4.7)
[TABLE]
whose solution \phi(x)=\Omega\big{(}|x|_{p}\big{)} is the characteristic function of the unit disc, where where is the characteristic function of the interval . The conjecture to use the above equation as the refinement equation was proposed in [18]. The above refinement equation is natural and reflects the fact that the characteristic function \Omega\big{(}|x|_{p}\big{)} of the unit disc is represented as a sum of pieces characteristic functions of the disjoint discs , (see (2.7)).
In Subsec. 4.3, the -adic MRA is constructed. Namely, we proved that MRA is generated by a refinable function which is the characteristic function \phi(x)=\Omega\big{(}|x|_{2}\big{)} of the unit disc and satisfies the refinement equation (4.8)
[TABLE]
By our MRA we construct -adic orthonormal wavelet basis (4.15) in , which is the Kozyrev basis (1.2) for the case . It turned out that the Kozyrev wavelet basis is not unique orthonormal wavelet basis.
In Sec. 5, infinity many different -adic wavelet orthonormal bases in are constructed. Namely, using Theorem 5.1, we construct wavelet functions , whose dilatations and shifts form -adic orthonormal wavelet bases in .
Since many -adic models use pseudo-differential operators, in particular, fractional operator, these results on -adic wavelets can be intensively used in applications. Moreover, -adic wavelets can be used to construct solutions of linear and semi-linear pseudo-differential equations [5], [23].
2. -Adic distributions
We recall some facts from the theory of -adic distributions (generalized functions). Here and in what follows, we shall systematically use the notations and results from [34] and [11, Ch.II]. Let , , be the sets of positive integers, integers, complex numbers, respectively, and . Denote by the multiplicative group of the field .
The canonical form of a -adic number is
[TABLE]
where , , , . The series is convergent in the -adic norm (1.1), and one has . By means of representation (2.1), the fractional part of a number is defined as follows
[TABLE]
The function
[TABLE]
for every fixed is an additive character of the field .
According to [34, III.2.], any multiplicative character of the field can be represented as
[TABLE]
where and is a normed multiplicative character such that , , . We denote .
The space consists of points , where , , . The -adic norm on is
[TABLE]
where id defined by (1.1).
Denote by the ball of radius with the center at a point and by its boundary (sphere), . For we set and . For the case we will omit the upper index . It is clear that
[TABLE]
where is a disc of radius with the center at a point , .
Any two balls in either are disjoint or one contains the other. Every point of the ball is its center.
According to [34, I.3,Examples 1,2.], the disc is represented by the sum of disjoint discs , :
[TABLE]
where and are the centers of the discs , , , . In particular, the disc is represented by the sum of disjoint discs
[TABLE]
where , ; ; and . Here all the discs are disjoint. We call coverings (2.6) and (2.7) the canonical covering of the discs and , respectively.
On there exists the Haar measure, i.e., a positive measure invariant under shifts, , and normalized by the equality . The invariant measure on the field is extended to an invariant measure on in the standard way.
If is an integrable function on , then [11, Ch.II,§2.2], [34, IV]:
[TABLE]
A complex-valued function defined on is called locally-constant if for any there exists an integer such that
[TABLE]
Let and be the linear spaces of locally-constant -valued functions on and locally-constant -valued functions with compact supports (so-called test functions), respectively [34, VI.1.,2.]. If , according to Lemma 1 from [34, VI.1.], there exists , such that
[TABLE]
The largest of such numbers is called the parameter of constancy of the function . Let us denote by the finite-dimensional space of test functions from having supports in the ball and with parameters of constancy [34, VI.2.]. The following embedding holds: , , . Thus . The space is a complete locally convex vector space.
According to [34, VI,(5.2’)], any function is represented in the following form
[TABLE]
where are the characteristic functions of the disjoint balls , and the points do not depend on .
Denote by the set of all linear functionals on [34, VI.3.].
Let us introduce in a canonical -sequence , and a canonical -sequence , , , where
[TABLE]
Here is the characteristic function of the ball . It is clear [34, VI.3., VII.1.] that , in and , in .
The Fourier transform of is defined by the formula
[TABLE]
where ; is the scalar product of vectors.
The Fourier transform is a linear isomorphism into . Moreover, according to [32, Lemma A.], [33, III,(3.2)], [34, VII.2.],
[TABLE]
We define the Fourier transform of a distribution by the relation [34, VII.3.]:
[TABLE]
Let be a matrix and . Then for a distribution the following relation holds [34, VII,(3.3)]:
[TABLE]
where . According to [34, IV,(3.1)],
[TABLE]
In particular, .
The convolution for distributions is defined (see [34, VII.1.]) as
[TABLE]
if the limit exists for all , where is the direct product of distributions. If for distributions the convolution exists then [34, VII,(5.4)]
[TABLE]
Definition 2.1**.**
Let be a multiplicative character of the field . A distribution is called homogeneous of degree if for all and we have the relation
[TABLE]
i.e., , . A homogeneous distribution of degree () is called homogeneous of degree .
3. The -adic Lizorkin spaces
Let us introduce the -adic Lizorkin space of test functions
[TABLE]
where
[TABLE]
Here . The space is called the -adic Lizorkin space of test functions. The space can be equipped with the topology of the space which makes a complete space.
In view of (2.11), the following lemma holds.
Lemma 3.1**.**
[TABLE]
(b)* , i.e., , iff , i.e., , .*
Unlike the classical Lizorkin space, any function is equal to zero not only at but in a ball , as well.
Let denote the topological dual of the space . We call it the -adic Lizorkin space of distributions.
By and we denote the subspaces of functionals in orthogonal to and , respectively. Thus and .
Proposition 3.1**.**
( [3])**
[TABLE]
The space can be obtained from by “sifting out” constants. Thus two distributions in differing by a constant are indistinguishable as elements of .
Similarly to (2.12), we define the Fourier transform of distributions and by the relations:
[TABLE]
By definition, and , i.e., (3.2) give well defined objects.
4. Construction of multiresolution analysis
4.1. -Adic multiresolution analysis.
Denote the factor group by , i.e.
[TABLE]
[TABLE]
It is well known that , where . In view of (2.1), , if and only if , where . Since , we have a “natural” decomposition of to a union of mutually disjoint discs:
[TABLE]
So, is a “natural” group of shifts for .
Definition 4.1**.**
A collection of closed spaces , is called a multiresolution analysis (MRA) in if the following axioms hold
(a) for all ;
(b) is dense in ;
(c) ;
(d) for all ;
(e) there a function such that the system , , form an orthonormal basis for .
The function from axiom (e) is called scaling or refinable. It follows immediately from axioms (d) and (e) that the functions , , form an orthonormal basis for .
According to the standard scheme (see, e.g., [31, §1.3]) for construction of MRA-based wavelets, for each , we define a space (wavelet space) as the orthogonal complement of in , i.e.,
[TABLE]
where , . It is not difficult to see that
[TABLE]
and , . Taking into account axioms (b) and (c), we obtain
[TABLE]
If now we find a function such that the system , , form an orthonormal basis for , then the system , , is an orthonormal basis for . Such a function is called a wavelet function and the basis is a wavelet basis.
4.2. -Adic refinement equation.
Let be a refinable function for a MRA. As was mentioned above, the system , , is a basis for . It follows from axoim (a) that
[TABLE]
We see that the function is a solution of a special kind of functional equation. Such equations are called refinement equations. Investigation of refinement equations and their solutions is the most difficult part of wavelet theory in real analysis.
A natural way for construction of a MRA (see, e.g., [31, §1.2]) is the following. We start with an appropriate function whose integer shifts form an orthonormal system, and set V_{0}=\overline{{\rm span}\big{\{}\phi\big{(}x-a\big{)}:a\in I_{p}\big{\}}} and V_{j}=\overline{{\rm span}\big{\{}\phi\big{(}p^{-j}x-a\big{)}:a\in I_{p}\big{\}}}, . It is clear that axioms (d) and (e) of Definition 4.1 are fulfilled.
Of course, not any such a function provides axiom . In the real setting, the relation holds if and only if the refinable function satisfies a refinement equation. Situation is different in -adics. Generally speaking, a refinement equation (4.5) does not imply the including property . Indeed, we need all the functions , , to belong to the space , i.e., the equalities should be fulfilled for all . Since is not in in general, we can not state that refinement equation (4.5) implies for all .
The refinement equation reflects some “self-similarity”. The structure of the space has a natural “self-similarity” property which is given by formulas (2.6), (2.7). By (2.7), the characteristic function \Delta_{0}(x)=\Omega\big{(}|x|_{p}\big{)} of the unit disc is represented as a sum of characteristic functions of the disjoint discs , , i.e.,
[TABLE]
Thus, in -adics, we have a natural refinement equation (4.5):
[TABLE]
whose solution is \phi(x)=\Delta_{0}(x)=\Omega\big{(}|x|_{p}\big{)}. This equation is an analog of the refinement equation generating Haar MRA in real analysis.
4.3. Construction of -adic Haar multiresolution analysis.
Now, using the refinement equation (4.7) for
[TABLE]
and its solution, the refinable function \phi(x)=\Delta_{0}(x)=\Omega\big{(}|x|_{2}\big{)}, we construct -adic multiresolution analysis.
Set
[TABLE]
[TABLE]
It is clear that axioms (d) and (e) of Definition 4.1 are fulfilled and the system , is an orthonormal basis for , .
Note that the characteristic function of the unit disc \Omega\big{(}|x|_{2}\big{)} has a wonderful feature: , for all because the -adic norm is non-Archimedean. In particular, , i.e.,
[TABLE]
Thus is periodic with the period .
In view of this fact, taking into account that () is in , for all , it follows from the refinement equation (4.8) that . By (4.10), this yields axiom .
Due to the refinement equation (4.8), we obtain that , i.e., the axiom (a) from Definition 4.1 holds.
Lemma 4.1**.**
The axiom of Definition 4.1 holds, i.e., .
Proof.
According to (2.9), any function belongs to one of the spaces , and consequently, is represented in the form
[TABLE]
where are the characteristic functions of the mutually disjoint discs , , ; , . Since and any number can be represented in the form , where , , we have . Thus any function can be represented in the form
[TABLE]
Consequently, on the basis of (4.10), . Thus any test function belongs to one of the space , where .
Since the space is dense in [34, VI.2], approximating any function from by test functions (4.13), we prove our assertion. ∎
Lemma 4.2**.**
The axiom of Definition 4.1 holds, i.e., .
Proof.
Suppose that . Then there exists a function for all . Hence, due to (4.10), f(x)=\sum_{a\in I_{2}}c_{ja}\phi\big{(}2^{-j}x-a\big{)} for all .
Let . Since , for all , we have , and, consequently, for all , . Thus \phi\big{(}2^{-j}x-a\big{)}=0 for all and , . Since , we have for all . Similarly, for another , we have for all . This yields that . Consequently, , where is a constant. However, if , . Thus, and the proof of the theorem is complete. ∎
According to the above scheme, we introduce the space as the orthogonal complement of in .
Set
[TABLE]
Lemma 4.3**.**
The shift system , , is an orthonormal basis of the space .
Proof.
Let us prove that . It follows from (4.8), (4.14) that
[TABLE]
[TABLE]
for all . Let . Since it is impossible , , taking into account that the functions , are orthonormal, we obtain \big{(}\psi^{(0)}(x-a),\phi(x-b)\big{)}=0. If , again due to the orthonormality of the system , , taking into account that , we have
[TABLE]
[TABLE]
Thus, for all .
The refinement equation (4.8) and relation (4.14) imply that
[TABLE]
Since is a basis for , we have , i.e., (4.2) holds. ∎
Thus we prove that the collection is a MRA in and the function defined by (4.14) is a wavelet function. This MRA is a -adic analog of the real Haar MRA and the wavelet basis generated by is an analog of real Haar wavelet basis. But in contrast to the real setting, the refinable function generating our Haar MRA is periodic with the period (see (4.11)), which never holds for real refinable functions. It will be shown bellow that due of this specific property of , there exist infinity many different orthonormal wavelet bases in the same Haar MRA (see Sec. 5).
Due to (2.3), (2.7), the function can be rewritten in the form and the Haar wavelet basis is
[TABLE]
[TABLE]
It is clear that
[TABLE]
and, according to Lemma 3.1, belongs to the Lyzorkin space .
Remark 4.1**.**
The Haar wavelet basis (4.15) coincides with Kozyrev’s wavelet basis (1.2) for the case . In present paper we restrict ourself by constructing the Haar wavelets only for . Since Haar refinement equation (4.7) was presented for all , a similar construction may be easily realized in the general case. Moreover, it is not difficult to see that Kozytev’s wavelet function from (1.2) can be expressed in terms of the refinable function as
[TABLE]
where , , .
Remark 4.2**.**
In view of periodicity (4.11) of the refinable function , one can use shifts , , instead of shifts , .
Now we show that there is another function whose shifts form an orthonormal basis in . Indeed, taking into account (4.11), we have
[TABLE]
[TABLE]
an its shifts
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Since the system of functions is orthonormal, in view of (4.11), formulas (4.18)–(4.20) imply that the function and the function are orthonormal, whenever , . Here we take into account that all shifts (up to ) of refinable function in (4.18), (4.20) are distinct.
Similarly, by (4.18), (4.19), we have
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
[TABLE]
Thus all shifts of are orthonormal.
It is clear that the functions (4.18) and (4.19) can be rewritten in the form
[TABLE]
[TABLE]
It follows that
[TABLE]
Since the system , , forms an orthonormal basis for , the system , , is another orthonormal basis for .
So, we showed that a wavelet basis generated by the Haar MRA is not unique.
5. Description of -adic Haar bases
5.1. Complex wavelets.
Using the fact that all dilatations and shifts (, ) of the Haar wavelet function form a orthonormal basis in , we show that there exist infinitely many wavelet functions , in .
In what follows, we shall write the -adic number a=2^{-s}\big{(}a_{0}+a_{1}2+\cdots+a_{s-1}2^{s-1}\big{)}\in I_{2}, , briefly as a rational number , where .
Since the characteristic function of the unit disc \phi(x)=\Delta_{0}(x)=\Omega\big{(}|x|_{2}\big{)} is periodic with the period , the wavelet function has the following evident and important property:
[TABLE]
Here , where ; .
Before we prove a general result, we consider the simplest particular case. Consider the function
[TABLE]
and solve the problem when all shifts of this function generates an orthonormal basis , in .
Taking into account orthonormality of the system , and relation (5.1), we can see that the function and the functions are orthonormal for all , . Thus, in view of (5.1), the system of functions , is orthonormal if and only if the system of functions (5.2) and
[TABLE]
is orthonormal. Hence, we have . In other words, the matrix
[TABLE]
is unitary. Thus, the function (5.2), where is the wavelet function. It is clear that the wavelet function (4.21) is a particular case of the wavelet function (5.2).
Consequently, all dilatations and shifts of form -adic orthonormal wavelet basis in .
Now we will prove a general theorem.
Theorem 5.1**.**
Let . The function
[TABLE]
is the wavelet function (whose dilatations and shifts form -adic orthonormal wavelet basis in ) if and only if
[TABLE]
, .
Proof.
Suppose that , is given by formula (5.4). Since the system , is orthonormal (see Subsec. 4.3) and in view of relation (5.1), it is easy to see that and are orthonormal for any , , . Thus the system of functions , is orthonormal if and only if the system of functions, consisting of the function (5.4) and its shifts, i.e.,
[TABLE]
[TABLE]
is orthonormal.
Set , . In view of (5.4), (5.6), , where
[TABLE]
Thus the system is orthonormal if and only if the matrix is unitary.
Let be a vector and
[TABLE]
be a matrix. It is easy to see that
[TABLE]
. Thus D=\big{(}u,Au,\dots,A^{2^{s}-1}u\big{)}^{T}. It is significant that . Consequently, in order to describe all matrixes (or in other words, all vectors ), we should find all vectors such that the system is orthonormal.
In view of the fact that the system , forms an orthonormal basis in , it is easy to see that the vector is one of mentioned above vectors . That is the system composed of vectors and , , is orthonormal, where is the Kronecker symbol.
Let us prove that the vector already mentioned above such that , is orthonormal, can be expressed by the formula if and only if is a unitary matrix such that . Indeed, let , where is a unitary matrix such that . Then , . Since the system , is orthonormal and the matrix is unitary, the vectors , are orthonormal. Conversely, if the system , is orthonormal, taking into account that the system , is orthonormal, we conclude that there exists a unitary matrix such that , . Since , , we have an additional relation . It follows from the above relations that , . Since the vectors , form a basis in the -dimensional space, we conclude that .
Thus we have D=\big{(}Bu_{0},BAu_{0},\dots,BA^{2^{s}-1}u_{0}\big{)}^{T}.
It is clear that the eigenvalues of and the corresponding normalized eigenvectors are
[TABLE]
and v_{r}=\big{(}(v_{r})_{1},\dots,(v_{r})_{2^{s}}\big{)}^{T}, respectively, where
[TABLE]
. As is well known, the matrix can be represented as , where
[TABLE]
is a diagonal matrix, C=\big{(}v_{0},v_{1},\dots,v_{2^{s}-1}\big{)}. Since is a unitary matrix, the matrix is unitary if and only if is unitary. On the other hand, if and only if . Moreover, since according to (5.8) , whenever , all unitary matrix such that , are given by
[TABLE]
where , . Hence, all unitary matrix such that , are given by , where is the above diagonal matrix.
By using formula (5.9), one can calculate
[TABLE]
[TABLE]
where , . Thus (5.5) holds.
Taking into account that , we conclude that if we define by formula (5.4), where is given by (5.5), , then the system of functions is orthonormal and forms the orthonormal basis in .
Consequently, all dilatations and shifts of the function (5.4) form -adic orthonormal wavelet basis in . ∎
It is clear that , and in view of Lemma 3.1, belongs to the Lizorkin space .
5.2. Real wavelets.
Using formulas (5.5), one can extract all real wavelet functions (5.4).
Let . According to (5.2), (5.3),
[TABLE]
is the real wavelet function.
Let . Set , . Then (5.5) imply that the wavelet function is real if and only if
[TABLE]
The last relations are equivalent to the system
[TABLE]
Thus for the real wavelet functions (5.4) is represented as
[TABLE]
[TABLE]
[TABLE]
[TABLE]
In particular, for the special cases , , , we obtain one-parameter families of the real wavelet functions
[TABLE]
respectively.
Acknowledgments
The authors are greatly indebted to E. Yu. Panov for fruitful discussions.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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