This article investigates promising avenues for resolving the Riemann Hypothesis by applying a unique dynamical systems approach. This methodology leverages the intricate relationship between the argument integral of the xi-function and the distribution of its zeros, as highlighted in a recent study.
A pivotal equation from the study is:
∫α1-α arg(ξ(σ+iT))dσ = (1-2α)(N(T) + o(1))
This equation connects the argument integral of the xi-function to the zero-counting function N(T). A key theorem could be constructed demonstrating that the behavior of arg(ξ(s)) in symmetrical intervals around the critical line fully characterizes the distribution of zeros. If all zeros reside on the critical line, the argument integral will exhibit specific symmetry properties.
The study also provides a refined Riemann-von Mangoldt formula:
N(T) = (T/2π)log(T/2π) - T/2π + 7/8 + (1/π)arg(ζ(1/2 + iT)) + O(T-1)
This formula's precise error terms offer a powerful tool for investigating zero locations. By analyzing the error term's behavior, we can potentially establish connections between the error term's characteristics and the potential locations of zeros.
The study examines zeros within a symmetrical rectangle D(α,T) that progressively narrows around the critical line as α tends towards 1/2. This approach can be used to constrain possible zero locations, providing a powerful tool for refining our understanding of zero distribution.
This approach involves a three-step process:
A crucial theorem to prove would be: For any zero ρ = β + iγ not on the critical line, an asymmetry must exist in the argument integral, contradicting the equation above.
This approach focuses on the O(T-1) term in the refined N(T) formula to:
This approach requires very precise control over error terms. Characterizing the argument integral's behavior globally may also present challenges. Finally, symmetry properties alone might not be sufficient to force all zeros onto the critical line.