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wavelet set (Definition)

Definition

An (orthonormal dyadic) wavelet set on $ {\mathbb{R}}$ is a subset $ E \subset {\mathbb{R}}$ such that
  1. $ \chi_E \in L^2({\mathbb{R}})$ (since $ \Vert\chi_E\Vert = \sqrt{m(E)}$, this implies $ m(E) < \infty$).
  2. $ \frac{\chi_E}{\sqrt{m(E)}}$ is the Fourier transform of an orthonormal dyadic wavelet,
where $ \chi_E$ is the characteristic function of $ E$, and $ m(E)$ is the Lebesgue measure of $ E$.

Characterization

$ E \subset {\mathbb{R}}$ is a wavelet set iff
  1. $ \{E + 2\pi n\}_{n\in {\mathbb{Z}}}$ is a measurable partition of $ \mathbb{R}$; i.e. $ {\mathbb{R}}\backslash \bigcup_{n\in \mathbb{Z}} \{ E + 2\pi n\}$ has measure zero, and $ \bigcap_{n=i,j} \{E+2\pi n\}$ has measure zero if $ i\neq j$. In short, $ E$ is a $ 2\pi$-translation “tiler” of $ \mathbb{R}$
  2. $ \{2^n E\}_{n\in \mathbb{Z}}$ is a $ 2$-dilation “tiler” of $ \mathbb{R}$ (once again modulo sets of measure zero).

Notes

There are higher dimensional analogues to wavelet sets in $ \mathbb{R}$, corresponding to wavelets in higher dimensions. Wavelet sets can be used to derive wavelets-- by creating a set $ E$ satisfying the conditions given above, and using the inverse Fourier transform on $ \chi_E$, you are guaranteed to recover a wavelet. A particularly interesting open question is: do all wavelets contain wavelet sets in their frequency support?



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See Also: wavelet, wavelet

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Cross-references: support, open question, wavelets, measure zero, measurable partition, iff, Lebesgue measure, characteristic function, orthonormal dyadic wavelet, Fourier transform, implies, subset, dyadic, orthonormal
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This is version 4 of wavelet set, born on 2004-06-27, modified 2007-09-27.
Object id is 5971, canonical name is WaveletSet2.
Accessed 2057 times total.

Classification:
AMS MSC46C99 (Functional analysis :: Inner product spaces and their generalizations, Hilbert spaces :: Miscellaneous)
 65T60 (Numerical analysis :: Numerical methods in Fourier analysis :: Wavelets)

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