sources of results and references. Further references will be given in section 2 and
throughout these notes.
Our goal is to look only at a small sample of classical problems of Fourier anal-
ysis that stem from Wiener’s original ideas of 1920’s, together with their modern
extensions and generalizations. Among them are Beurling’s Gap Problem on the
Fourier transform, classical completeness problems, such as the Beurling–Malliavin
problem and the Type Problem on completeness of trigonometric polynomials in
L2, a problem on oscillations of Fourier integrals with a spectral gap, etc. The
discussion will include a brief outline of the Toeplitz approach to the problems of
UP developed recently in our joint work with Nikolai Makarov [103, 104]. One of
the extensions of UP that we will consider involves the so-called Weyl-Titchmarsh
transform, a generalization of the Fourier transform that appears in spectral prob-
lems for differential operators. Via the Weyl-Titchmarsh transform, the traditional
Payley-Wiener spaces are replaced with de Branges spaces of entire functions or
with model subspaces of the Hardy space in the upper half-plane. The traditional
completeness problems of systems of complex exponentials become problems on
completeness of special functions or spectral problems for Schr¨ odinger equations
and Krein’s canonical systems. The Toeplitz approach allows one to use methods
of complex function theory and harmonic analysis to solve some of such problems.
One of my goals when writing these notes was to make it possible to read each
chapter from 2 to 8 independently. This led to numerous repetitions in definitions
and arguments, for which I apologize in advance. Additionally, after giving it some
thought, I have decided against including a list of open problems. The main reason
for this omission was that most of the problems I had in mind were still raw and
uneven in quality. At the same time, I hope very much that an interested reader
can find plenty of open problems on her/his own while looking through the text,
especially in the last two chapters.
1. Basic notations
If f is a function from L1(R) we denote by
f its Fourier transform
f =
The function
f is well defined for z R and, under various additional
conditions on f, may be defined in a larger subset of the complex plane C.
Let M be a set of all finite Borel complex measures on the real line. Similarly,
for μ M we define
ˆ(z) μ =
Via Parseval’s theorem, the Fourier transform may be extended to be a unitary
operator from
into itself and can be defined for even broader classes of
distributions. It can also be extended to functions (measures, distributions) in
using the same formula
f =
where mn is the Lebesgue measure in
s, t
and s, t is the standard
scalar product.
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