Self-characteristic distributions

This paper investigates the fixed points of the characteristic function operator, i.e., we seek probability density functions whose characteristic functions are identical to themselves. A prominent example of a self-characteristic function is the Gaussian. Interestingly, however, the Gaussian is not unique in that respect. We present a formulation that systematically generates self-characteristic densities by applying a nonlinear transform to arbitrary positive semi-definite functions.