MOMENTS OF RANDOM MULTIPLICATIVE FUNCTIONS, I: LOW MOMENTS, BETTER THAN SQUAREROOT CANCELLATION, AND CRITICAL MULTIPLICATIVE CHAOS
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This paper determines the order of magnitude of low moments of Steinhaus and Rademacher random multiplicative functions, proving Helson's conjecture about better-than-squareroot cancellation in the first moment. This result also disproves counter-conjectures and has implications for limit distribution and large deviations of these functions, leveraging a connection to critical multiplicative chaos.
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Scientists looked at special math games where numbers multiply randomly. They found that these numbers tend to cancel each other out much more than expected, like when two opposite forces make things surprisingly calm.
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This paper presents a significant contribution to the field of analytic number theory by resolving a long-standing conjecture about random multiplicative functions. The rigorous mathematical analysis, detailed proofs, and the novel connection to multiplicative chaos theory warrant a high rating. The paper's impact is enhanced by disproving previous counter-conjectures and offering potential avenues for future research. While the technical nature of the content may limit its accessibility, the paper's contribution to the field is undeniable.
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