Stability of Bernstein’s Characterization of Gaussian Vectors and a Soft Doubling Argument

Stability properties of Bernstein’s characterization of Gaussian vectors are derived. Stability leads to a soft doubling argument through which one can prove capacity theorems without requiring the existence of capacity-achieving distributions.