A Strengthened Central Limit Theorem for Smooth Densities

We consider the central limit theorem for the probability density function ƒn(x) of the standardized sum of independent and identically distributed random variables with finite variance and regular probability density function. By showing boundedness of different convex functionals along the sequence {fn} we prove convergence in various norms to the normal density.