Pointwise convergence of Fourier series and deep neural network for the indicator function of d-dimensional ball

In this paper we clarify the crucial difference between a deep neural network and the Fourier series. For the multiple Fourier series of the periodization of some radial functions on $\mathbb{R}^d$, Kuratsubo (2010) investigated the behavior of the spherical partial sum, and discovered the third phenomenon other than the well-known Gibbs-Wilbraham and Pinsky phenomena. In particular, the third one exhibits prevention of pointwise convergence. In contrast to it, we give a specific deep neural network and prove pointwise convergence.