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Wiener–Lévy theorem is a theorem in
Fourier analysis In mathematics, Fourier analysis () is the study of the way general functions may be represented or approximated by sums of simpler trigonometric functions. Fourier analysis grew from the study of Fourier series, and is named after Josep ...
, which states that a function of an absolutely convergent Fourier series has an absolutely convergent Fourier series under some conditions. The theorem was named after
Norbert Wiener Norbert Wiener (November 26, 1894 – March 18, 1964) was an American mathematician and philosopher. He was a professor of mathematics at the Massachusetts Institute of Technology (MIT). A child prodigy, Wiener later became an early researcher i ...
and Paul Lévy.
Norbert Wiener Norbert Wiener (November 26, 1894 – March 18, 1964) was an American mathematician and philosopher. He was a professor of mathematics at the Massachusetts Institute of Technology (MIT). A child prodigy, Wiener later became an early researcher i ...
first proved Wiener's 1/''f'' theorem, see Wiener's theorem. It states that if has absolutely convergent Fourier series and is never zero, then its inverse also has an absolutely convergent Fourier series.


Wiener–Levy theorem

Paul Levy generalized Wiener's result, showing that Let F(\theta ) = \sum\limits_^\infty c_k e^, \quad\theta \in ,2\pi /math> be an absolutely convergent Fourier series with : \, F\, = \sum\limits_^\infty , c_k, < \infty. The values of F(\theta ) lie on a curve C, and H(t) is an analytic (not necessarily single-valued) function of a complex variable which is regular at every point of C. Then H (\theta )/math> has an absolutely convergent Fourier series. The proof can be found in the Zygmund's classic book ''
Trigonometric Series In mathematics, a trigonometric series is a infinite series of the form : \frac+\displaystyle\sum_^(A_ \cos + B_ \sin), an infinite version of a trigonometric polynomial. It is called the Fourier series of the integrable function f if the term ...
''.


Example

Let H(\theta )=\ln(\theta ) and F(\theta ) = \sum\limits_^\infty p_k e^,(\sum\limits_^\infty p_k = 1 ) is
characteristic function In mathematics, the term "characteristic function" can refer to any of several distinct concepts: * The indicator function of a subset, that is the function ::\mathbf_A\colon X \to \, :which for a given subset ''A'' of ''X'', has value 1 at points ...
of discrete probability distribution. So F(\theta ) is an absolutely convergent Fourier series. If F(\theta ) has no zeros, then we have :H (\theta )= \ln \left( \sum\limits_^\infty p_k e^ \right) = \sum_^\infty c_k e^, where \, H\, = \sum\limits_^\infty , c_k, < \infty. The statistical application of this example can be found in discrete pseudo
compound Poisson distribution In probability theory, a compound Poisson distribution is the probability distribution of the sum of a number of independent identically-distributed random variables, where the number of terms to be added is itself a Poisson-distributed variable. T ...
and
zero-inflated model In statistics, a zero-inflated model is a statistical model based on a zero-inflated probability distribution, i.e. a distribution that allows for frequent zero-valued observations. Zero-inflated Poisson One well-known zero-inflated model is D ...
. If a discrete r.v. X with \Pr(X = i) = P_, i \in \mathbb N, has the probability generating function of the form : P(z) = \sum\limits_^\infty P_ z^ = \exp \left\,z=e^ where \sum\limits_^ \alpha_ = 1, \sum \limits_^ \left, \alpha_ \ < \infty, \alpha_ \in \mathbb, and \lambda > 0. Then X is said to have the discrete pseudo compound Poisson distribution, abbreviated DPCP. We denote it as X \sim DPCP(\lambda,\lambda, \cdots ).


See also

* Wiener's theorem (disambiguation)


References

{{DEFAULTSORT:Wiener-Levy theorem Theorems in Fourier analysis