Abstract
The concepts of multiresolution analysis (MRA) and wavelets in Sobolev space over local fields of positive characteristic (\(H^s(\mathbb {K})\)) are developed by Pathak and Singh [9]. In this paper, we constructed wavelet packets in Sobolev space \(H^s(\mathbb {K})\) and derived their orthogonality at each level. By using convolution theory, an example of wavelet packets in \(H^s(\mathbb {K})\) is presented
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1 Introduction
The theory of wavelets on local fields and related groups is developed by Benedetto et al. in [2, 3]). Albeverio, Skopina, et al. (see [1, 6, 7]) constructed MRA-related wavelets on the p-adic field. Jiang et al. [5] discusses wavelets on local fields. Recently, Pathak and Singh modified the classical concept of MRA and constructed orthonormal wavelets in Sobolev space; their \(H^s\)-norm was translation invariant but not dilation invariant. Hence, they used different scaling functions at each level of dilation (see [8,9,10,11,12,13,14,15,16]). In this paper, we construct wavelet packets corresponding to such an MRA.
This article is divided into the following sections. In Sect. 1, we discuss some properties of local fields and Sobolev space over \(\mathbb {K}\). In Sect. 2, we recall the MRA on \(H^s(\mathbb {K})\), and one essential lemma, the splitting lemma, is proved. In Sect. 3, we construct wavelet packets and prove their orthogonality at each level. We also show that they form an orthonormal basis for \(H^s(\mathbb {K})\). Finally, we construct wavelet packets in \(H^s(\mathbb {K})\) at the jth level.
Throughout the paper, \(\mathbb {K}\) denotes the local field of positive characteristic, \(\chi \) is a fixed character on \(\mathbb {K}^+\), \(\mathfrak {p}\) is a fixed prime element in \(\mathbb {K}\) used for dilation, and \(u(k) \in \mathbb {K},, k \in \mathbb {N}_0 = {0, 1, 2, 3, \ldots }\) is used for translation. For more detail, we refer to [9].
The Sobolev space \(H^s(\mathbb {K})\), \(s \in \mathbb {R}\), consists of all those \(f \in \mathscr {S}'(\mathbb {K})\) (the space of continuous linear functionals on \(\mathscr {S}(\mathbb {K})\), where \(\mathscr {S}(\mathbb {K})\) is the space of all finite linear combinations of characteristic functions of balls in \(\mathbb {K}\) ) which satisfy:
the corresponding inner product is defined by
where
2 Multiresolution analysis on \( H^s(\mathbb {K})\) and the splitting lemma
Pathak and Singh [9] modified the classical multiresolution analysis on \(L^2(\mathbb {K})\). Now, we recall the theory of wavelet in Sobolev space over \(\mathbb {K}\).
Definition 2.1
A multiresolution analysis of \(H^s(\mathbb {K})\) is a sequence \(\{V_j\}_{j \in \mathbb {Z}}\) of the closed linear subspaces of \(H^s(\mathbb {K})\) such that
-
(a)
\( V_j \subset V_{j+1} \);
-
(b)
\(\overline{ \cup _{j \in \mathbb {Z}} \,\, V_j }=H^s(\mathbb {K})\);
-
(c)
\( \cap _{j \in \mathbb {Z}} \,\, V_j =0 \);
-
(d)
For each \(j \in \mathbb {Z}\), there exists a function \(\phi ^{(j)} \in H^s(\mathbb {K}) \) such that \(\{ \phi ^{(j)}_{j,k} \}_{k \in \mathbb {N}_0},\) forms an orthonormal basis of \(V_j\),
where
Such function \( \phi ^{(j)} \) are called scaling function. The condition \( V_j \subset V_{j+1} \); for \( j \in \mathbb {Z} \) is equivalent to the existence of integral-periodic function \(m^{(j)} _0 \in L^2(\mathfrak D)\) such that the following scale relation holds.
these functions \(m^{(j+1)}_0\) are called low pass filter. Define \(\psi _r ^{(j)}, j\in \mathbb {Z}\) and \( r\in {D_1} = \{ 0,1,2,3,4... q-1\} \), by the formula
where \(m^{(j+1)}_t (t = 1, 2, 3,..., q-1)\) are called high pass filters such that the matrix \(M^{(j)}(\xi ) = [m^{(j)}_{r_1}(\mathfrak {p}\xi + \mathfrak {p}u(r_2))]^{q-1}_{r_1,r_2=0}\) is unitary.
We get \(\{\psi ^{(j)}_{r,j,k}\}_{j \in \mathbb {Z}, k \in \mathbb {N}_0, r \in D_1} \) form an orthonormal basis for \(H^{s}(\mathbb {K})\), where
Theorem 2.2
If \(s\in \mathbb {R}\), \(\phi ^{(j)}\in H^{s}(\mathbb {K})\) then the distribution \(\{q^{\frac{j}{2}}\phi ^{(j)}(\mathfrak {p}^{-j} x - u(k)), k\in \mathbb {Z} \} \) are orthonormal in \(H^{s}(\mathbb {K})\) if and only if
Moreover, we also have
Theorem 2.3
Let \(\{\phi ^{(j)}\}_{j \in \mathbb {Z}}\) be a sequence of functions of \(H^{s}(\mathbb {K})\) such that, for every j, the distributions
are orthonormal in \(H^s(\mathbb {K})\) and \(V_j = \overline{\{\phi _{j, k}(\xi ): k \in \mathbb {N}_0}\}\).
If,
holds then, \(\overline{\cup _{j\in \mathbb {Z}} V_j} = H^s(\mathbb {K}).\) Moreover, for every \(j \le 0,\) then \(\cap _{j\in \mathbb {Z}} V_j = \{0\}.\)
For construction of wavelet packets the following splitting lemma is required.
Lemma 2.4
Let \(\{q^{\frac{j}{2}}\phi ^{(j)}(\mathfrak p^{-j}.-u(m)): m \in \mathbb {N}_0\}\) be an orthonormal system in \(H^s(\mathbb {K})\) and \(V_j = \overline{span\{q^{\frac{j}{2}}\phi ^{(j)}(\mathfrak p^{-j}.-u(m)): m \in \mathbb {N}_0\}}\). Let \(\hat{\psi }^{(j)}_r(\xi ) = m^{(j+1)}_r(\mathfrak p\xi )\hat{\phi }^{(j+1)}(\mathfrak p \xi ),\) \(0 \le r \le q-1\). Then \(\{\psi ^{(j)}_{r, j, m}(.): 0\le r \le q-1, m \in \mathbb {N}_0\}\) is an orthonormal basis in \(V_j\) if and only if the matrix
is unitary for a.e. \(\xi \in \mathfrak D\).
Proof
Let \(M^{(j)}(\xi )\) is unitary. Then, we have
Therefore, \(\{q^{\frac{j}{2}}\psi ^{(j)}_r(\mathfrak p^{-j}.-u(m)): 0\le r \le q-1, m \in \mathbb {N}_0\}\) is an orthonormal system in \(V_j\). For proving it basis, suppose \(h \in V_j\) be such that it is orthonormal to \(\psi ^{(j)}_r(\mathfrak p^{-j}. - u(m)) \,\, \forall \, r= 0,1,..., q-1; m \in \mathbb {N}_0\). We claim that \(h = 0\) a.e.
Since \(h \in V_j\), therefore \(h \in V_{j+1}\). Hence h(x) can be written as
Therefore,
where, \(m^{(j+1)}_h(\xi ) = q^{-\frac{j+1}{2}}\sum _{k \in \mathbb {N}_0}c^{(j+1)}_k\bar{\chi }_k(\xi )\), i.e., \(m^{(j+1)}_h\) is integral periodic and is in \(L^2(\mathfrak D)\).
For \(r = 0,1, 2,..., q-1\) and \(m \in \mathbb {N}_0\), we have
Hence,
That is the vector \((m^{(j+1)}_h(\mathfrak p\xi + \mathfrak p u(i)))^{q-1}_{i = 0} \in \mathbb {C}^q\) is orthogonal to each row vector of the unitary matrix \(M^{(j)}(\xi )\). Therefore it is zero for a.e. \(\xi \). In particular, \(m^{(j+1)}_h(\mathfrak p^{j+1}(\mathfrak p^{-j}\xi )) = 0\) a.e. This implies that \(\hat{h} = 0\) a.e. Therefore \(h = 0\) a.e. By reversing the above steps, the converse part can also be proved. \(\square \)
3 wavelet packets in Sobolev space
If we apply splitting lemma to \(V_j\), then we see that \(\{q^{\frac{j}{2}}\psi ^{(j)}_r(\mathfrak p^{-j}. - u(m)): 0\le r \le q-1, m \in \mathbb {N}_0\}\) is an orthonormal basis for \(V_j\). Define a sequence of functions \(\{w^{(j)}_n: n\ge 0\}\) such that
where
In general, let \(w^{(j)}_n\) be defined for every integer \(n \ge 0\) by
Taking the Fourier transform, we get
We can also define \(w^{(j)}_n\) for every integer \(n \ge 0\) by its Fourier transform as (here [x] denotes greatest integer less than or equal to x)
where r is given by
Definition 3.1
The set of functions \(\{w^{(j)}_n: n \ge 0\}\) defined as above are said to be wavelet packets associated with the MRA \(\{V_j\}_{j \in \mathbb {Z}}\) of \(H^s(\mathbb {K})\).
Definition 3.2
For every \(n \in \mathbb {N}_0\) and \(0 \le r \le q-1\), the wavelet packet spaces at jth level are given by
where r is given by (3.1).
Definition 3.3
Suppose \(w^{(j)}_n(x)\) be a wavelet packet corresponding to the scaling function \(\phi ^{(j)}(x)\). Then the translates and dilates form of wavelet packet functions for integer j and \(k \in \mathbb {N}_0\) are defined as
Proposition 3.4
Let the unique expansion for an integer \(m \ge 1\) in the base q is
where \(\lambda _k \ne 0\) and \(0 \le \lambda _i < q\) for all \(i = 1, 2,..., k\). Then
Proof
By using the induction hypothesis and Eq. (2.7), it can be easily proved. \(\square \)
We can view the decomposition process in Fig. 1.
Lemma 3.5
For \(j \in \mathbb {Z}\), let \(w^{(j + 1)}_n \in H^s(\mathbb {K})\), then the distribution \( \left\{ q^{\frac{j+1}{2}}w^{(j+1)}_{[\frac{n}{q}]}(\mathfrak p^{j+1}x - u(k)): k \in \mathbb {N}_0 \right\} \) are orthonormal in \(H^s(\mathbb {K})\) if and only if
Proof
Let
Since \(w^{(j + 1)}_n \in H^s(\mathbb {K})\), then the above series converges almost everywhere and belongs to \(L^1_{Loc}(\mathfrak D)\).
Moreover, for every \(l \in \mathbb {N}_0\), we have
\(\square \)
3.1 Orthogonality of wavelet packets at jth level
In the following theorems, we obtain the orthogonality at jth level.
Theorem 3.6
Let \(j \in \mathbb {Z}\) and \(k, l, n \in \mathbb {N}_0\). Then
Proof
\(\square \)
Theorem 3.7
Let \(n \in \mathbb {N}_0\) and \(1 \le t \le q-1\). Then, we have
Proof
With the help of change of variable trick, we have
\(\square \)
3.2 Construction of wavelet packets
Using following proposition and theory of convolution of Fourier transform, we construct orthogonal wavelet packets in \(H^s(\mathbb {K})\) at \(j^{th}\) level in the other form.
Proposition 3.8
Consider the functions \(\{w_n: n\ge 0\} \) the wavelet packet corresponding to the MRA \(\{V_j: j\in \mathbb {Z}\}\) in \(L^2(\mathbb {K})\) \(j \in \mathbb {Z}\) (for more detail see Ref. [4]). Then
where \(w_{j,k, n}(.)= q^{\frac{j}{2}}w_n(\mathfrak p^{-j}. - u(k))\), \(k \in \mathbb {N}_0\) and \(j \in \mathbb {Z}\).
Theorem 3.9
Suppose \(\rho (.) = \gamma ^{-\frac{s}{2}}(.)\) and \(w_{j,k, n}(.) \) as in above proposition. Then
where \(w^{(j)}_{j,k, n}(.) = \rho (.)*w_{j,k, n}(.)\) and \(*\) denotes convolution of two functions.
Proof
By using the convolution theorem, we have
\(\square \)
Example 3.10
In this presented example, we have constructed the orthogonal wavelet packets at jth level by using the above theorem. For this, we need the orthogonal wavelet packets in \(L^2(\mathbb {K})\).
We recall the MRA which is given by Jiang et. al. [5], they considered the scaling function \(\phi (x)=\eta _{\mathfrak {D}}(x)\), where \(\eta _{\mathfrak D}\) is a characteristic function on \(\mathfrak D\). The low-pass filter \(m_0(\xi )\) of the MRA is given by the formula:
and high pass filters are given by
the associated basic wavelet functions are \(\psi _t(x)= \sqrt{\frac{q}{2}}[\eta _{\mathfrak D}(\mathfrak p^{-1}x - u(t)) - \eta _{\mathfrak D}(\mathfrak p^{-1}x - u(t-1))]\).
Then, the corresponding orthogonal wavelet packets are given by [4]
.
.
.
Now, by using Theorem 3.9, we get the wavelet packets in \(H^s(\mathbb {K})\) at jth level (Table 1)
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Acknowledgements
The work of the second author is supported by the CSIR grant no: 09/013(0647)/2016 - EMR - 1, New Delhi.
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Pathak, A., Singh, G.P. Multilevel wavelet packets in sobolev space over local fields of positive characteristic. Afr. Mat. 35, 70 (2024). https://doi.org/10.1007/s13370-024-01211-7
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DOI: https://doi.org/10.1007/s13370-024-01211-7