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Approximation of Functions by $n$-Separate Wavelets in the Spaces ${L}^p(\mathbb{R})$, $1\leq p\leq\infty$
E. A. Pleshchevaab a Institute of Mathematics and Mechanics, Ural Branch of the Russian Academy of Sciences, Ekaterinburg
b Ural Federal University named after the First President of Russia B. N. Yeltsin, Ekaterinburg
Abstract:
We consider the orthonormal bases of $n$-separate MRAs and wavelets constructed by the author earlier. The classical wavelet basis of the space $L^2(\mathbb{R})$ is formed by shifts and compressions of a single function $\psi$. In contrast to the classical case, we consider a basis of $L^2(\mathbb{R})$ formed by shifts and compressions of $n$ functions $\psi^s$, $s=1,\ldots,n$. The constructed $n$-separate wavelets form an orthonormal basis of $L^2(\mathbb{R})$. In this case, the series $\sum_{s=1}^{n}\sum_{j\in\mathbb{Z}}\sum_{k\in\mathbb{Z}}\langle f,\psi^s_{nj+s} \rangle \psi^s_{nj+s}$ converges to the function $f$ in the space $L^2(\mathbb{R})$. We write additional constraints on the functions $\varphi^s$ and $\psi^s$, $s=1,\ldots,n$, that provide the convergence of the series to the function $f$ in the spaces $L^p(\mathbb{R})$, $1 \leq p \leq \infty$, in the norm and almost everywhere.
Keywords:
wavelet, scaling function, basis, multiresolution analysis.
Received: 19.03.2019
Citation:
E. A. Pleshcheva, “Approximation of Functions by $n$-Separate Wavelets in the Spaces ${L}^p(\mathbb{R})$, $1\leq p\leq\infty$”, Trudy Inst. Mat. i Mekh. UrO RAN, 25, no. 2, 2019, 167–176; Proc. Steklov Inst. Math. (Suppl.), 308, suppl. 1 (2020), S178–S187
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https://www.mathnet.ru/eng/timm1633 https://www.mathnet.ru/eng/timm/v25/i2/p167
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Abstract page: | 120 | Full-text PDF : | 36 | References: | 26 | First page: | 7 |
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