Local limit theorem for the distribution of incomplete vector formed by the weights of subfunctions of random binary mapping components

For linear combinations of coordinate functions of random binary mapping a local limit theorem for the joint distribution of weights of some their subfunctions is proved. By means of this theorem we obtain asymptotic estimates for the number of $(n,m,k)$-resilient vectorial Boolean functions for $m=2,3,4$.