Recent research, building on classical number theory, highlights the potential of functions like the Möbius function (μ(n)) and its summatory counterpart, the Mertens function (M(x)), in shedding light on the distribution of prime numbers. The definition of μ(n) is central:
The behavior of M(x) = Σn ≤ x μ(n) is closely tied to the Riemann Hypothesis (RH). Specifically, the conjecture that M(x) grows no faster than a power of x slightly larger than x1/2 is equivalent to RH. Analyzing the asymptotic behavior, such as the limit of |M(x)|/x as x approaches infinity, offers a starting point.
The distribution of prime numbers, quantified by the prime-counting function π(x), is deeply intertwined with the Möbius function. The paper details relationships involving square-free integers and π(x). For instance, the number of square-free integers formed by the product of two primes pipj in a given range can be expressed using μ(pi) and differences of π(x) values.
Proving tighter bounds on expressions linking M(x) and π(x) could offer new insights into the zero-free regions of the zeta function, a critical aspect of RH research.
The Dirichlet series Σn=1∞ μ(n)/ns represents 1/ζ(s) for Re(s) > 1. Exploring transformations and convergence properties of this series, as well as related alternating sums, is crucial. An equation presented in the source material connects alternating and non-alternating sums:
(1 - 1/2^s) sum((-1)^(n-1) mu(n)/n^s) = (1 + 1/2^s) sum(mu(n)/n^s)
Understanding the analytic properties and convergence criteria for these series could reveal properties of the zeta function's zeros on the critical strip.
Combining these frameworks suggests promising research avenues:
The statistical properties of the Möbius function sequence exhibit fascinating patterns. Connections can be explored with:
A detailed research agenda would involve formulating precise conjectures about the growth rate of M(x) and the boundedness of alternating sums, employing tools from analytic number theory, complex analysis, and potentially computational verification for initial cases. Proving intermediate theorems on square-free distributions and refined sum bounds would pave the way towards the main goal.
This analysis is based on the mathematical concepts presented in arXiv:0365.1451 and related work.