Moments of random multiplicative functions, II: High moments
By Adam J Harper. Algebra & Number Theory, 2018
48 citations recorded by the source corpus.
We determine the order of magnitude of $\mathbb{E}|\sum_{n \leq x} f(n)|^{2q}$ up to factors of size $e^{O(q^2)}$, where $f(n)$ is a Steinhaus or Rademacher random multiplicative function, for all real $1 \leq q \leq \frac{c\log x}{\log\log x}$. In the Steinhaus case, we show that $\mathbb{E}|\sum_{n \leq x} f(n)|^{2q} = e^{O(q^2)} x^q (\frac{\log x}{q\log(2q)})^{(q-1)^2}$ on this whole range. In the Rademacher case, we find a transition in the behaviour of the moments when $q \approx (1+\sqrt{5})/2$, where the size starts to be dominated by "orthogonal" rather than "unitary" behaviour. We also deduce some consequences for the large deviations of $\sum_{n \leq x} f(n)$. The proofs use various tools, including hypercontractive inequalities, to connect $\mathbb{E}|\sum_{n \leq x} f(n)|^{2q}$ with the $q$-th moment of an Euler product integral. When $q$ is large, it is then fairly easy to analyse this integral. When $q$ is close to 1 the analysis seems to require subtler arguments, including Doob's $L^p$ maximal inequality for martingales.
Subfields: Algebra and Number Theory, Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/07723c2d63ebdfd3c81b6c1640726cf14cd1f563
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Citations in the corpus
- MOMENTS OF RANDOM MULTIPLICATIVE FUNCTIONS, I: LOW MOMENTS, BETTER THAN SQUAREROOT CANCELLATION, AND CRITICAL MULTIPLICATIVE CHAOS (2017, result): “ in the Rademacher case, to compare with Gonek’s conjecture. In this paper we will answer the second question for 0 ≤ q ≤ 1, and derive some consequences for the other questions. In a companion paper [12], we will also answer the LOW MOMENTS OF RANDOM MULTIPLICATIVE FUNCTIONS 3 second question for q”