Discrete Riesz MRA on local fields of positive characteristic
G.S. Berdnikov, S.F. Lukomskii

TL;DR
This paper introduces a novel method for constructing Riesz multiresolution analysis (MRA) on local fields of positive characteristic, including the development of associated scaling functions.
Contribution
It presents a new approach to building Riesz MRA structures on local fields of positive characteristic, expanding the mathematical framework for wavelet analysis.
Findings
Constructed Riesz MRA on local fields of positive characteristic
Developed corresponding scaling step functions
Established theoretical foundation for further applications
Abstract
We propose a method to construct Riesz MRA on local fields of positive characteristic and corresponding scaling step functions that generate it.
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Taxonomy
TopicsMathematical Analysis and Transform Methods · advanced mathematical theories · Advanced Algebra and Geometry
Abstract
We propose a method to construct Riesz MRA on local fields of positive characteristic and corresponding scaling step functions that generate it
Bibliography: 20 titles.
Discrete Riesz MRA on local fields of positive characteristic
G.S. Berdnikov, S. F. Lukomskii
N.G. Chernyshevskii Saratov State University
MSC:Primary 42C40; Secondary 43A70
keywords: local fields, multiresolution analysis, Riesz wavelet bases, trees.
1 Introduction
The simplest example of a local field with positive characteristic is a Vilenkin group. More precisely, Vilenkin group is an additive group of the local field when . Additive group of the local field with positive characteristic is a product of Vilenkin groups . Therefore discrete wavelets on local fields is an alternative method for multidimensional discrete data processing.
V. Protasov and Yu. Farkov [7]-[9] obtained the necessary and sufficient conditions under which a refinable function generates an orthogonal MRA on Vilenkin group and indicated some methods for constructing such refinable functions. They proved that the refinable function generates an orthogonal MRA if and only if the mask does not have any blocked sets. The problem of finding the blocked sets is an exhaustive search problem. In articles [19],[20] a new method for constructing refinable step functions is proposed. This method is based on a new concept of N-valid trees. Apparently, this method gives all step functions generating an orthogonal MRA. In [10],[18] some algorithms for constructing biorthogonal compactly supported wavelets on Vilenkin groups are researched and new examples of biorthogonal compactly supported wavelets on Vilenkin groups are given. In [12],[13] 1-valid trees are used for constructing Riesz bases on Vilenkin groups.
The simplest example of a local field with characteristic zero is the field of -adic numbers. Wavelet theory over the field is different from the wavelet theory on Vilenkin groups [15]-[17].
In this article we will discuss MRA on local fields of positive characteristic. First results on wavelet analysis on local fields are received by Chinese mathematicians Huikun Jiang, Dengfeng Li, and Ning Jin [1]. They introduced the notion of orthogonal MRA on local fields, for the fields of positive characteristic , proved some properties and gave an algorithm for constructing wavelets for a known scaling function. Using these results, they constructed orthogonal MRA and corresponding wavelets for the case when a scaling function is the characteristic function of a unit ball . Such MRA is usually called ”Haar MRA” and corresponding wavelets are called ”Haar wavelets”. In the article [4] Biswaranjan Behera and Qaiser Jahanthe proved that a function is a scaling function for MRA in if and only if
[TABLE]
[TABLE]
and there exists an integral periodic function such that
[TABLE]
where is the set of shifts, is a prime element. The condition (1.3) is the necessary condition for inclusion . The condition (1.2) is the necessary and sufficient condition for convergence of the product . The condition (1.1) is the necessary and sufficient condition for orthogonality of the shifts system . It is a difficult problem. If on some ball then we have only two conditions (1.1),(1.3). For such step function methods for constructing orthogonal refinable functions are obtained in the article [14]. B.Behera and Q.Jahan [5] found a condition on the scaling functions and for dual MRAs under which the associated wavelets and generate the biorthogonal affine systems and that form Riesz bases for . Currently, methods for constructing nonorthogonal wavelets on local fields are missing.
In this article we will consider a Riesz MRA with the step scaling functions for which is obtained by spreading the unit ball . We will give an algorithm for constructing such Riesz scaling functions. To construct this Riesz scaling functions we will use N-valid trees.
2 Local field of positive characteristic as a vector space over a finite field
In works [1]-[5] authors use the notation and methods of the book by Taibleson [6]. We will use another methods [14].
Let be a local field with positive characteristic . Its elements are infinite sequences
[TABLE]
where
[TABLE]
Let . Since
[TABLE]
[TABLE]
[TABLE]
it follows that the product is defined coordinate-wise. The sum in the field is defined coordinate-wise also. With such operations is a vector space. If we define the modulus by the equation
[TABLE]
and norm by the equation
[TABLE]
then we can consider the field as a vector normalized space over the field . Let
[TABLE]
be a ball of radius . For any choose an element and fix it. We will call this system a basic sequence.
Theorem 2.1** ([14])**
Let be a fixed basic sequence in . Any element may by written as sum of the series
[TABLE]
It means that the sequence is a basis of vector space . Further we will suppose , where .
Definition 2.1
The operator
[TABLE]
is called a delation operator.
Remark 1. Since additive group is Vilenkin group with it follows that and .
3 Set of characters as vector space over a finite field
Now we define Rademacher function on the vector space . If
[TABLE]
and
[TABLE]
then we define functions , where , .
Lemma 3.1** ([14])**
Any character can be expressed uniquely as product
[TABLE]
in which the number of factors with positive numbers are finite.
If we write the character as
[TABLE]
and denote
[TABLE]
where then we can write the character as the product
[TABLE]
The function is called Rademacher function.
Assume by definition
[TABLE]
and
[TABLE]
Then
[TABLE]
and the set of characters of the field is a vector space over the finite field with product as interior operation and power as exterior operation. It follow from (3.2) that annihilator consists of characters .
The next lemma is the basic property of Rademacher functions on local field with positive characteristic.
Lemma 3.2** ([14])**
Let , . Then for any .
4 Riesz MRA on local fields of positive characteristic
Denote
[TABLE]
[TABLE]
is an analog of the set .
Define a dilation operator on the set of characters by the equation . It is evident that and [14].
We will use next properties of annihilators [14].
-
,
-
.
-
Let be a character which does not belong to . Then
[TABLE]
Let . Then
[TABLE]
Definition 4.1
A family of closed subspaces , , is said to be a Riesz multiresolution analysis of if the following axioms (conditions) are satisfied:
- A1)
;
- A2)
* and ;*
- A3)
* ( is a dilation operator);*
- A4)
* for all ;*
- A5)
there exists a function such that the system is a Riesz basis for .
A function occurring in axiom A5 is called a scaling function.
We recall that the family is called a Riesz system with constants and if, for every sequence the series converges in and
[TABLE]
Lemma 4.1** ( [4], Theorem 4.1.)**
Let be a sequence of closed subspaces of satisfying conditions (A1), (A3) and (A5) of Definition 4.1. Then, .
Lemma 4.2** ( [4], Theorem 4.2.)**
Let be a continuos function at the point and . Suppose also that is a sequence of closed subspaces of satisfying conditions (A1), (A3) and (A5) of Definition 4.1. Then .
Next we will follow the conventional approach. Let , and suppose that form a Riesz basis in the closure of their linear hull in the norm . With the function and the dilation operator , we define subspaces closed in . If the family is an MRA, we will say that the function generates MRA. It is clear that the system is a Riesz basis for and if and only if . We want to propose an algorithm for constructing a function that generate a Riesz MRA and corresponding wavelets.
We shall assume that the function generating a Riesz MRA satisfies the inequality
[TABLE]
on some set of measure that is obtained by spreading the set . We now give a precise characterization or .
Definition 4.2
Let be a local field of characteristic , –group of additive characters for , . A set is said to be -elementary if it is the disjoint union of cosets of the form
[TABLE]
*for such that the following conditions hold
-
, .
-
For every we have .*
So, to obtain an -elementary set, we shift any coset
per the unique element that any difference contains at least one shift.
Lemma 4.3** ([14])**
The set is a total orthonormal system on any -elementary set .
Lemma 4.4
Let be a local field of characteristic , an -elementary set in , , , . The system of shifts is a Riesz system with constants and if and only if
[TABLE]
a.e. on .
Proof. S u f f i c i e n c y. First, we find an upper bound for assuming that is a finite set. Using Plancherel’s equality, we have
[TABLE]
[TABLE]
We rewrite the inner integral using invariance of the integral
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Since
[TABLE]
[TABLE]
we get
[TABLE]
[TABLE]
and, therefore,
[TABLE]
Similarly we obtain that
[TABLE]
N e c e s s i t y. Let be a Riesz system with bounds A and B i.e. for any the inequality
[TABLE]
holds. It follows that
[TABLE]
By Plancherel’s equality we have
[TABLE]
Therefore we can write the equality (4.3) in the form
[TABLE]
Denote . Since is an orthonormal system in we obtain
[TABLE]
or another
[TABLE]
It follows that for any with norm
[TABLE]
Therefore .
Let us show that a.e. in . Assume the converse. Then there exists such that and on the set . Taking we have
[TABLE]
But this contradicts inequality 4.4.
Lemma 4.5
*Let be a local field, an elementary set in , .
-
If a.e. on , then is a biorthonormal system on .
-
Conversely, if is a biorthonormal system on , then a.e. on .*
Proof. 1) Using Plancherel’s equality and Lemma 4.1, we have
[TABLE]
- Using Plancherel’s equality and a biorthogonality of the system
we have
[TABLE]
By the uniqueness theorem a.e. on .
The following lemma obviously follows from the equality .
Lemma 4.6
Let . The shift system is a Riesz system with constants and if and only if the system is a Riesz system with constants and .
Recall that .
Lemma 4.7
Suppose that , is an -elementary set, , satisfies the conditions (4.2) on . Then if and only if the function satisfies the equation
[TABLE]
Proof. N e c e s s i t y. By lemma 4.4 is a Riesz system with constants and . Taking Lemma 4.6 into account, we get that is a Riesz system with constants and , and, therefore, form a basis of . Since , the equation (4.5) holds and we have .
S u f f i c i e n c y. Let , i.e.
[TABLE]
where is the finite set. Substituting (4.5) in (4.6), we obtain
[TABLE]
Since the set is a group and , it follows that
Therefore we need to look for a function , that generates an MRA in , as a solution of the refinement equation (4.5). A solution of the refinement equation (4.5) is called a refinable function.
Theorem 4.1
Suppose that , is an -elementary set, , satisfies the conditions (4.2) on . Then if and only if the function satisfies the equation (4.5)
This theorem follows from lemmas 4.6-4.7.
Theorem 4.2
Let be a continuous function at the point and . Suppose that is an -elementary set, , satisfies the conditions (4.2) and (4.5). Then generates an Riesz MRA.
Proof. The property A5) follows from lemma 4.4. The property A4) is true, as the set is a group. The property A3) is evident. The property A1) follows from theorem 4.1. The property A2) follows from lemmas 4.1. and 4.2.
5 Construction of scaling function
In this section we will construct functions for which the conditions of theorem 4.2 are satisfied. The refinement equation (4.5) may be written in the form
[TABLE]
where
[TABLE]
is a mask of the equation (4.4). We will use equation (5.1) to construct the refinable function . First we will construct the support of using a concept of -valid tree [19].
Definition 5.1
*Let be a tree directed from the root on the set of nodes . The tree is called as N-valid if the following properties are valid:
a)The nodes of this tree are elements
b)The root of is
c)For any the set of level nodes is the set
d)Any path of length is present in the tree exactly one time.*
For example for we can construct the tree
(1,1)$$(1,0)$$(0,1)
(0,0)$$(0,1)$$(1,0)$$(1,1)
(0,0)$$(0,1)$$(1,0)$$(1,1)
(0,0)$$(0,1)$$(1,0)$$(1,1)Figure 1
Here we give a method for construction of N-valid trees for any . First we construct a basic tree of smallest height. Let be all elements of the finite field , and . We construct a basic tree in the following way.
-
Choose a path of length . This path contains N nodes and the level of the last node is .
-
Connect all elements to the last node . We get a tree of height in which any path of length is present not more than once. But not all paths of length are present in this tree. This tree is shown in Fig. 2.
\alpha_{0}$$\alpha_{0}$$\dots$$\alpha_{0}
\alpha_{1}$$\alpha_{2}$$\alpha_{p^{s}-1}
Figure 2. Tree after 2 steps
- Now we connect all elements to every node of level and get a tree of height . We can see this tree on Fig.3. After -th step we obtain the -valid three of smallest hight.
\alpha_{0}$$\alpha_{0}$$\dots$$\alpha_{0}
\alpha_{1}$$\alpha_{2}$$\alpha_{p^{s}-1}
\alpha_{0}$$\alpha_{1}$$\alpha_{p^{s}-1}
\alpha_{0}$$\alpha_{1}$$\alpha_{p^{s}-1}
\alpha_{0}$$\alpha_{1}$$\alpha_{p^{s}-1}Figure 3. Tree after 3 steps \alpha_{1}$$\alpha_{0}$$\alpha_{1}$$\alpha_{p^{s}-1}Figure 4. Subtree
\alpha_{0}$$\alpha_{0}$$\dots$$\alpha_{0}
\alpha_{2}$$\alpha_{p^{s}-1}
\dots$$\alpha_{0}$$\alpha_{1}$$\alpha_{1}$$\alpha_{0}$$\alpha_{p^{s}-1}
\alpha_{0}$$\alpha_{1}$$\alpha_{p^{s}-1}
\alpha_{0}$$\alpha_{1}$$\alpha_{p^{s}-1}Figure 5. Tree after moving
To obtain another -valid trees we introduce the concept of basic step in the following way.
1.Let be a -valid tree. Take a subtree with a node of the level as a root. (see figures 3 and 4)
2.Take a path
[TABLE]
of length which ends in this node .
- Find a path of the length which ends in leaf and which coincides with the path
[TABLE]
- Move the subtree to the leaf . See Fig.5
If the original tree was -valid, then after the employment of the basic step we obtain a -valid tree again. Thus, applying the basic algorithm to the basic tree finite number of times, we will obtain different -valid trees.
Let be a -valid tree. Choose any path of length greater than
[TABLE]
[TABLE]
Since the tree is -valid it follows that . Let us construct cosets
[TABLE]
[TABLE]
[TABLE]
[TABLE]
and denote the union of all such cosets as .
Lemma 5.1
* is -elementary set.*
Proof. Since is -valid tree it follows that for any coset
[TABLE]
there exists unique shift
[TABLE]
It means that is -elementary set.
Definition 5.2
We say that the set is a periodic extension of if
[TABLE]
If then we say that generates this set , and the -valid tree generates also.
Lemma 5.2
Let be a -valid tree of height . Then
[TABLE]
if .
Proof. Since and it follows that
[TABLE]
and the lemma is proved.
Lemma 5.3
Let be a -valid tree of height . Suppose the tree generates the set . Then is an -elementary set.
Proof. Let us denote
[TABLE]
First we note that . Indeed
[TABLE]
[TABLE]
Now we will prove, that for .
In another words we need to prove that
[TABLE]
for .
By the definition of cosets (5.3), if and only if the vector is a path of the tree .
Since is a periodic extension of it follows that the function is periodic with any period , , i.e. when . Using this fact we can write for in the form
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Assume that . Then all factors in (5.4) are nonzero. So we have the path
[TABLE]
where there are zeroes at the beginning of the path. The length of such path is , which contradicts the condition height of equals .
Now we prove that is elementary set. Since the tree is -valid, it has all possible combinations of elements as its paths, and we have the first property of elementary sets satisfied. Also, since height of is , there exists a path
[TABLE]
of length . Such path generates cosets
[TABLE]
for all . Thus we can conclude that is -elementary set and the lemma is proved. .
Now we can formulate an algorithm for constructing the refinable function that generates Riesz MRA.
**RF-algorithm.
**1.Construct -valid tree of height using basic -valid tree and basic steps.
2.Construct the set using formulas (5.3).
3.Construct the function on the set such that
3.1.,
3.2.,
3.3.,
-
Extend the function periodically with any period . It is evident that and .
-
Set
Remark. The Fourier transform may be calculated in the following way. Take any path
[TABLE]
of the length in that . Then we set
[TABLE]
[TABLE]
Theorem 5.1
The function generates Riesz MRA with constants and .
Proof. It is evident that and . By lemma 5.3
[TABLE]
so that
[TABLE]
on the set . Consequently, by lemma 5.2
[TABLE]
So, by theorem 4.2 the function generates Riesz MRA.
6 Construction of Riesz wavelets
In this section we will give an algorithm for constructing wavelets. We will use the result of B. Behera and Q. Jahan [5], which we formulate in our notations.
Let and be biorthogonal MRAs with scaling functions and masks respectively. Assume that there exist periodic functions and , such that for any and for any
[TABLE]
Define wavelets and by the equations
[TABLE]
Theorem 6.1** ([5])**
Let and be the scaling functions for dual MRAs and be the associated wavelets satisfying the matrix condition (6.1). Then the collections
[TABLE]
and
[TABLE]
are biorthogonal. If addition
[TABLE]
[TABLE]
for some constant , then systems and form Riesz bases for .
Now we can continue to construct wavelets. Let be -valid tree. Using RF-algorithm we construct functions , and set
[TABLE]
It is evident . Define functions
[TABLE]
Lemma 6.1
*The following properties are true
-
for any .
-
for .
-
for .
-
for .*
Proof. 1) If then .
- Let and . It means that Therefore if , then
[TABLE]
since there cannot be two different paths from the node to the root.
-
It follows from property 2) that for .
-
If then
[TABLE]
[TABLE]
where . Since there cannot be two different paths from the node to the root we see that , or .
Define functions and by equations (6.2).
Theorem 6.2
*1) The collectins and are biorthogonal.
- The systems and form Riesz bases for .*
Proof. Check equality (6.1). By Lemma 6.1, so that when . Therefore, it suffices to prove the equation
[TABLE]
Since there cannot be two different paths from the node to the root, it follows that (6.3) includes only one non-zero term is equal to one. By lemma 6.1 for . Therefore .
Since , it follows that . By analogy, and . So all conditions of theorem 6.1 is fulfilled, and theorem 6.2 is proved.
Finally we can write an algorithm to construct Riesz-wavelets.
**W-algorithm.
**1) Construct -valid tree using the basic steps.
-
Construct the mask and refinable function using RF-algorithm.
-
Define functions .
-
Set .
5)Find wavelets using inverse Fourier transform.
This research was carried out with the financial support the Russian Foundation for Basic Research (grant no. 16-01-00152)
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Huikun Jiang, Dengfeng Li, and Ning Jin. Multiresolution analysis on local fields. J. Math. Anal. Appl. 294 (2004) 523–532.
- 2[2] Dengfeng Li, Huikun Jiang. The necessary condition and sufficient conditions for wavelet frame on local fields. J. Math. Anal. Appl. 345 (2008) 500–510.
- 3[3] Biswaranjan Behera, Qaiser Jahan. Wavelet packets and wavelet frame packets on local fields of positive characteristic. J. Math. Anal. Appl. N 395, (2012), 1–14.
- 4[4] Biswaranjan Behera, Qaiser Jahan. Multiresolution analysis on local fields and characterization of scaling functions. Adv. Pure Appl. Math. N 3, (2012), 181–202.
- 5[5] Biswaranjan Behera, Qaiser Jahan. Biorthogonal Wavelets on Local Fields of Positive Characteristic. Comm. in Math. Anal. V.15, N.2, 52–75 (2013).
- 6[6] Taibleson M. H. Fourier Analysis on Local Fields, Princeton University Press, 1975.
- 7[7] V Yu Protasov, Y. A. Farkov. Dyadic wavelets and refinable functions on a half-line Sbornik: Mathematics(2006), 197(10):1529.
- 8[8] Y. A. Farkov, Orthogonal wavelets with compact support on locally compact abelian groups, Izvestiya RAN: Ser. Mat., vol. 69, no. 3, pp. 193-220, 2005, English transl., Izvestiya: Mathematics, 69: 3 (2005), pp. 623-650.
