Paley–Wiener theorem explained

In mathematics, a Paley–Wiener theorem is any theorem that relates decay properties of a function or distribution at infinity with analyticity of its Fourier transform. It is named after Raymond Paley (1907–1933) and Norbert Wiener (1894–1964) who, in 1934, introduced various versions of the theorem. The original theorems did not use the language of distributions, and instead applied to square-integrable functions. The first such theorem using distributions was due to Laurent Schwartz. These theorems heavily rely on the triangle inequality (to interchange the absolute value and integration).

The original work by Paley and Wiener is also used as a namesake in the fields of control theory and harmonic analysis; introducing the Paley–Wiener condition for spectral factorization and the Paley–Wiener criterion for non-harmonic Fourier series respectively. These are related mathematical concepts that place the decay properties of a function in context of stability problems.

Holomorphic Fourier transforms

The classical Paley–Wiener theorems make use of the holomorphic Fourier transform on classes of square-integrable functions supported on the real line. Formally, the idea is to take the integral defining the (inverse) Fourier transform

f(\zeta) = \int ^{inf ty} _{-inf ty} F(x)e ^{i} dx

and allow

\zeta to be a complex number in the upper half-plane. One may then expect to differentiate under the integral in order to verify that the Cauchy–Riemann equations hold, and thus that f defines an analytic function. However, this integral may not be well-defined, even for F in L ^{2(R)} ; indeed, since \zeta is in the upper half plane, the modulus of e ^{ix\zeta} grows exponentially as x \to -inf ty ; so differentiation under the integral sign is out of the question. One must impose further restrictions on F in order to ensure that this integral is well-defined.

The first such restriction is that

F be supported on R _{+} : that is, F\in L ^{2 ( R} _{+ )} . The Paley–Wiener theorem now asserts the following:^[1] The holomorphic Fourier transform of F , defined byf(\zeta) = \int ^{inf ty} _{0} F(x) e ^{i} dx

for

\zeta in the upper half-plane is a holomorphic function. Moreover, by Plancherel's theorem, one has\int ^{inf ty} _{-inf ty} \left |f(\xi + i η ) \right| ^{2} d\xi \le \int ^{inf ty} _{0} |F(x)| ^{2} dx

and by dominated convergence,

\lim _{η \to 0 ^{+}} \int ^{inf ty} _{-inf ty} \left|f(\xi + i η ) - f(\xi) \right| ^{2d\xi} = 0 .

Conversely, if

f is a holomorphic function in the upper half-plane satisfying\sup _{η>0} \int ^{inf ty} _{-inf ty} \left |f(\xi + i η ) \right| ^{2d\xi} = C < inf ty

then there exists

F\in L ^{2 ( R} _{+ )} such that f is the holomorphic Fourier transform of F .

In abstract terms, this version of the theorem explicitly describes the Hardy space

H ^{2(R)} . The theorem states that

l{F}H ^{2(R)=L} ^{2 ( R _{+} ).}

This is a very useful result as it enables one to pass to the Fourier transform of a function in the Hardy space and perform calculations in the easily understood space

L ^{2 ( R} _{+ )} of square-integrable functions supported on the positive axis.

By imposing the alternative restriction that

F be compactly supported, one obtains another Paley–Wiener theorem. Suppose that F is supported in [ - A,A] , so that F\in L ^{2(-A,A)} . Then the holomorphic Fourier transformf(\zeta) = \int ^{A} _{- A} F(x)e ^{i} dx A , meaning that there is a constant C such that|f(\zeta)|\le Ce ^{A|\zeta|} ,

and moreover,

f is square-integrable over horizontal lines:\int ^{inf ty} _{-inf ty} |f(\xi + i η )| ^{2d\xi} < inf ty.

Conversely, any entire function of exponential type

A which is square-integrable over horizontal lines is the holomorphic Fourier transform of an L ^{2} function supported in [ - A,A] .

Schwartz's Paley–Wiener theorem

Schwartz's Paley–Wiener theorem asserts that the Fourier transform of a distribution of compact support on

R ^{n} is an entire function on C ^{n} and gives estimates on its growth at infinity. It was proven by Laurent Schwartz (1952). The formulation presented here is from .

Generally, the Fourier transform can be defined for any tempered distribution; moreover, any distribution of compact support

v is a tempered distribution. If v is a distribution of compact support and f is an infinitely differentiable function, the expressionv(f) = v(x\mapsto f(x))

is well defined.

It can be shown that the Fourier transform of

v is a function (as opposed to a general tempered distribution) given at the value s by\hat{v}(s) = ( 2 \pi) ^{- (n)/(2)} v\left(x\mapsto e ^{-i} \right)

and that this function can be extended to values of

s in the complex space C ^{n} . This extension of the Fourier transform to the complex domain is called the Fourier–Laplace transform.

Additional growth conditions on the entire function

F impose regularity properties on the distribution v . For instance:

Sharper results giving good control over the singular support of

v have been formulated by . In particular, let K be a convex compact set in R ^{n} with supporting function H , defined byH(x) = \sup _{y\in} \langle x,y\rangle.

Then the singular support of

v is contained in K if and only if there is a constant N and sequence of constants C _{m} such that|\hat{v}(\zeta)| \le C ^{Ne} _{m( 1+ |\zeta|)} ^{H(Im(\zeta))}

for

| Im (\zeta)| \le m log (| \zeta | +1 ).

References

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• Book: Paley, Raymond E. A. C. . Raymond Paley . Norbert Wiener. Wiener . Norbert . Fourier Transforms in the Complex Domain . American Mathematical Soc. . Providence, RI . 1934 . 978-0-8218-1019-4.
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Notes and References

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