Almost sure linear independence of absolutely continuous Hilbert space-valued random vectors with respect to a special class of Hilbert space probability measures

Abstract

This note examines the implications of randomly selecting vectors from an infinite-dimensional Hilbert space on linear independence, assuming that for all k, the first k vectors follow an absolutely continuous distribution with respect to a probability measure. It demonstrates that no constraints on the random dimension of their span are necessary, provided that all strict affine subspaces are considered negligible with respect to the Hilbert space probability measure.