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Partial sums of biased random multiplicative functions
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文摘
Let P be the set of the primes. We consider a class of random multiplicative functions f   supported on the squarefree integers, such that {f(p)}p∈P form a sequence of ±1 valued independent random variables with Ef(p)<0, ∀p∈P. The function f   is called strongly biased (towards classical Möbius function), if View the MathML sourcea.s.  , and it is weakly biased if View the MathML source converges a.s.   Let Mf(x):=∑n≤xf(n). We establish a number of necessary and sufficient conditions for Mf(x)=o(x1−α) for some α>0, a.s., when f   is strongly or weakly biased, and prove that the Riemann Hypothesis holds if and only if Mfα(x)=o(x1/2+ϵ) for all ϵ>0a.s.  , for each α>0, where {fα}α is a certain family of weakly biased random multiplicative functions.

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