A Fourier-RKHS approach for detecting orthogonal Gaussian distributions for stationary processes on homogeneous spaces

Pairs of equivalent Gaussian distributions for centered stationary processes on homogeneous spaces can be characterized in terms of their spectral measures. The purpose of this note is to consider part of the latter characterization from the perspective of a reproducing kernel Hilbert space (RKHS) approach.