Improved asymptotic estimates for the numbers of correlation-immune and k-resilient vectorial Boolean functions
Konstantin Nikolaevich Pankov · Discrete Mathematics and Applications · 2019
Abstract We refine local limit theorems for the distribution of a part of the weight vector of subfunctions and for the distribution of a part of the vector of spectral coefficients of linear combinations of coordinate functions of a random binary mapping. These theorems are used to derive improved asymptotic estimates for the numbers of correlation-immune and k -resilient vectorial Boolean functions.