On the upper bound of the $L_p$ discrepancy of Halton's sequence and the Central Limit Theorem for Hammersley's net

Abstract: Let $(H_s(n)){n \geq 1}$ be an $s-$dimensional Halton's sequence, and let ${\mathcal{H}}{s+1,N}=(H_s(n),n/N){n=0}^{N-1}$ be the $s+1-$dimensional Hammersley point set. Let $D(\mathbf{x},(H_n){n=0}^{N-1} )$ be the local discrepancy of $(H_n){n=0}^{N-1}$, and let $D{s,p} ( (H_n){n=0}^{N-1}) $ be the $L_p$ discrepancy of $(H_n){n=0}^{N-1} $. It is known that $\limsup_{N \to \infty} N (\log N)^{-s/2} D_{s,p} (H_s(N)){n=0}^{N-1} >0$. In this paper, we prove that $$D{s,p} ((H_s(N)){n=0}^{N-1}) = O(N^{-1} \log^{s/2} N) \quad {\rm for} \; \; N \to \infty.$$ I.e., we found the smallest possible order of magnitude of $L_p$ discrepancy of Halton's sequence. Then we prove the Central Limit Theorem for Hammersley net : \begin{equation}\nonumber N^{-1} D(\bar{\mathbf{x}},\mathcal{H}{s+1,N} )/ D_{s+1,2}(\mathcal{H}_{s+1,N}) \stackrel{w}{\rightarrow} \mathcal{N}(0,1), \end{equation} where $\bar{\mathbf{x}}$ is a uniformly distributed random variable in $[0,1]^{s+1}$. The main tool is the theorem on $p$-adic logarithmic forms.