nLab
wavefront set

Contents

Idea

This page is about the concept of a wavefront set of generalized functions like hyperfunctions in the context of microlocal analysis. The wavefront set is used to further classify the kind of singularity that a generalized function exhibits in a point.

Definition

Motivation

The definition of wavefront sets is motivated by a version of a Paley-Wiener theorem that characterizes smooth compactly supported functions ( n) by a growth condition on their Fourier transform :

Theorem

(Paley-Wiener for C 0 )

The vector space of smooth compactly supported functions is (algebraically and topologically) isomorphic, via the Fourier transform, to the space of entire functions F which satisfy the following estimate: there is a positive constant B such that for every integer n>0 there is a constant C n such that:

F(z)C n(1+z) nexp(BIm(z))F(z) \le C_n (1 + |z|)^{-n} \exp{ (B \; |\operatorname{Im}(z)|)}

Smoothness

We call a smooth compactly supported function that is identical 1 in a neighbourhood of a point x 0 a cutoff function at x 0. Let U be open, we identify the cotangent bundle of U with U× n. A subset of U× n is said to be conic if it stable under the transformation

(x,ζ)(x,ρζ)withρ>0(x, \zeta) \mapsto (x, \rho \zeta) \quad \text{with} \; \rho \gt 0
Definition

Let f be a distribution and (x 0,ζ 0) with ζ 00 be a point of the cotangent bundle of U. f is smooth in (x 0,ζ 0) if there is a cutoff function χ in x 0 and an open cone Γ 0 in n containing ζ 0 such that for every m>0 there is a nonnegative constant C m such that for all ζΓ 0:

(χf)(ζ)C m(1+ζ) m\| \mathcal{F}(\chi f) (\zeta) \| \le C_m (1 + \| \zeta \|)^{-m}

where (χf) is the Fourier transform (of the variable ζ) of the function χf (of the variable x).

Definition

A distribution f is smooth in a conic subset Γ of the cotangent bundle of U if f is smooth in a neighbourhood of every point in Γ.

Wavefront set

Let U n be an open subset, T *U its cotangent bundle and f be a distribution on U. The complement of the union of all conic subsets of T *U where f is smooth is the wavefront set WF(f).

Examples

Onedimensional Examples

We take a brief look at distributions on 𝒟 with singular support consisting of the origin. In one dimension, at the origin, there are of course exactly two directions along which a distribution could be smooth, namely ζ0 and ζ>0.

We define the Fourier transform to be

(f)(ζ)=f^(ζ)= f(x)exp(2πixζ)\mathcal{F}(f)(\zeta) = \hat f (\zeta) = \int_{- \infty}^{\infty} f(x) \exp(-2 \pi i x \zeta)

For the delta distribution δ, we have (δ)=1, which does not satisfy the decay condition of smoothness.

References

Revised on May 3, 2010 10:16:45 by Tim van Beek (192.76.162.8)