The Stochastic Properties of ell¹-Regularized Spherical Gaussian Fields
classification
🧮 math.PR
astro-ph.CO
keywords
regularizationsphericalconvexfieldsgaussianpropertiesrandomtechniques
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Convex regularization techniques are now widespread tools for solving inverse problems in a variety of different frameworks. In some cases, the functions to be reconstructed are naturally viewed as realizations from random processes; an important question is thus whether such regularization techniques preserve the properties of the underlying probability measures. We focus here on a case which has produced a very lively debate in the cosmological literature, namely Gaussian and isotropic spherical random fields, and we prove that Gaussianity and isotropy are not conserved in general under convex regularization over a Fourier dictionary, such as the orthonormal system of spherical harmonics.
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