In mathematics, the trigonometric moment problem is formulated as follows: given a sequence
, does there exist a distribution function
on the interval
such that:
with
for
. An affirmative answer to the problem means that
are the Fourier-Stieltjes coefficients for some (consequently positive) unique Radon measure
on
as distribution function.
In case the sequence is finite, i.e.,
, it is referred to as the truncated trigonometric moment problem.
Characterization
The trigonometric moment problem is solvable, that is,
is a sequence of Fourier coefficients, if and only if the (n + 1) × (n + 1) Hermitian Toeplitz matrix
with
for
,
is positive semi-definite.
The "only if" part of the claims can be verified by a direct calculation. We sketch an argument for the converse. The positive semidefinite matrix
defines a sesquilinear product on
, resulting in a Hilbert space
of dimensional at most n + 1. The Toeplitz structure of
means that a "truncated" shift is a partial isometry on
. More specifically, let
be the standard basis of
. Let
and
be subspaces generated by the equivalence classes
respectively
. Define an operator
by
Since
can be extended to a partial isometry acting on all of
. Take a minimal unitary extension
of
, on a possibly larger space (this always exists). According to the spectral theorem, there exists a Borel measure
on the unit circle
such that for all integer k
For
, the left hand side is
As such, there is a
-atomic measure
on
, with
(i.e. the set is finite), such that
which is equivalent to

for some suitable measure
.
Parametrization of solutions
The above discussion shows that the truncated trigonometric moment problem has infinitely many solutions if the Toeplitz matrix
is invertible.
In that case, the solutions to the problem are in bijective correspondence with minimal unitary extensions of the partial isometry
.