Almost sure lower bounds for a model problem for multiplicative chaos in number theory
Maxim Gerspach

TL;DR
This paper establishes almost sure lower bounds for a simplified model of multiplicative chaos in number theory, extending Harper's results to a function field analogue and making the proof more accessible.
Contribution
It provides the first almost sure lower bounds in a simplified multiplicative chaos model, answering a question from prior work and adapting Harper's approach to a function field setting.
Findings
Proved almost sure lower bounds for the model problem.
Extended Harper's results to a function field analogue.
Made the proof more self-contained and accessible.
Abstract
The goal of this work is to prove an analogue of a recent result of Harper on almost sure lower bounds of random multiplicative functions, in a setting that can be thought of as a simplified function field analogue. It answers a question raised in work of Soundararajan and Zaman, who proved moment bounds for the same quantity in analogy to those of Harper in the random multiplicative setting. Having a simpler quantity allows us to make the proof close to self-contained, and perhaps somewhat more accessible.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Stochastic processes and statistical mechanics
