Equivalence between the zero distributions of the Riemann zeta function and a two-dimensional Ising model with randomly distributed competing interactions
Zhidong Zhang

TL;DR
This paper establishes a deep mathematical connection between the zero distributions of the Riemann zeta function and a specially constructed 2D Ising model with mixed interactions, linking physics and number theory.
Contribution
It proves the equivalence of zero distributions of the Riemann zeta function and a 2D Ising model with random competing interactions, advancing understanding in both physics and mathematics.
Findings
Eigenvalues of the 2D Ising model are real and distributed like the Möbius function.
Eigenvectors relate to the Riemann zeta function and form the Hilbert-Pólya space.
Partition function zeros lie on the unit circle, corresponding to the zeros of the zeta and L-functions.
Abstract
In this work, we prove the equivalence between the zero distributions of the Riemann zeta function {\zeta}(s) and a two-dimensional (2D) Ising model with a mixture of ferromagnetic and randomly distributed competing interactions. At first, we review briefly the characteristics of the Riemann hypothesis and its connections to physics, in particular, to statistical physics. Second, we build a 2D Ising model, M_(FI+SGI)^2D, in which interactions between the nearest neighboring spins are ferromagnetic along one crystallographic direction while competing ferromagnetic/antiferromagnetic interactions are randomly distributed along another direction. Third, we prove that all energy eigenvalues of this 2D Ising model M_(FI+SGI)^2D are real and randomly distributed as the M\"obius function {\mu}(n), the Dirichlet L(s,\c{hi}_k ) function as well as the Riemann zeta function {\zeta}(s). Fourth, we…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
