On the random Chowla conjecture
Abstract
We show that for a Steinhaus random multiplicative function and any polynomial of which is not of the form for some , , we have where is the standard complex Gaussian distribution with mean and variance This confirms a conjecture of Najnudel in a strong form. We further show that there almost surely exist arbitrary large values of such that for any polynomial with which is not a product of linear factors (over ). This matches the bound predicted by the law of the iterated logarithm. Both of these results are in contrast with the well-known case of linear phase where the partial sums are known to behave in a non-Gaussian fashion and the corresponding sharp fluctuations are speculated to be for any .
Cite
@article{arxiv.2202.08767,
title = {On the random Chowla conjecture},
author = {Oleksiy Klurman and Ilya D. Shkredov and Max Wenqiang Xu},
journal= {arXiv preprint arXiv:2202.08767},
year = {2022}
}
Comments
Minor changes to the Introduction. Added remark about possibility of extending the proofs to sparse sets. Added references to the work of Cassaigne-Ferenczi-Mauduit-Rivat-Sarkozy and Borwein-Choi-Ganguly on the sign changes of $\lambda (P(n)).$ All other sections remain unchanged