  This paper studies the continuous-domain inverse problem of recovering Radon
measures on the one-dimensional torus from low-frequency Fourier coefficients,
where Kc is the cutoff frequency. Our approach consists in minimizing the
total-variation norm among all Radon measures that are consistent with the
observations. We call this problem the basis pursuit in the continuum (BPC). We
characterize the solution set of (BPC) in terms of uniqueness and describe its
sparse solutions which are sums of few signed Dirac masses. The
characterization is determined by the spectrum of a Toeplitz and
Hermitian-symmetric matrix that solely depends on the observations. More
precisely, we prove that (BPC) has a unique solution if and only if this matrix
is neither positive definite nor negative definite. If it has both a positive
and negative eigenvalue, then the unique solution is the sum of at most 2Kc
Dirac masses, with at least one positive and one negative weight. If this
matrix is positive (respectively negative) semi-definite and rank deficient,
then the unique solution is composed of a number of Dirac masses equal to the
rank of the matrix, all of which have nonnegative (respectively nonpositive)
weights. Finally, in cases where (BPC) has multiple solutions, we demonstrate
that there are infinitely many solutions composed of Kc+1 Dirac masses, with
nonnegative (respectively nonpositive) weights if the matrix is positive
(respectively negative) definite.
