Annihilating probability measures under constraints

Original Articles

Annihilating probability measures under constraints


Abstract

Let P be a probability measure and HL (P) be a linear subspace and 0 < c ≤ 1 ≤ C real constants. Then we give a relatively computable criterion whether or not there exists a H-annihilating probability measure Q ∼ P equivalent to P with density cdQ/dP ≤ C. In fact we also prove a version where L (P) is replaced by C(K) for a compact Hausdorff space K.

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