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Generalized Rayleigh Quotients and the Hilbert-Pólya Conjecture: An Exploratory Analysis

This essay mines the structure of zeroth-order optimization methods for generalized Rayleigh quotients on the sphere, as developed by Bresch for finite-dimensional matrix pencils, for potential patterns applicable to the Riemann Hypothesis.

Abstract

This essay mines the structure of zeroth-order optimization methods for generalized Rayleigh quotients on the sphere, as developed by Bresch for finite-dimensional matrix pencils, for potential patterns applicable to the Riemann Hypothesis.


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Overview

This exploratory essay examines the paper by Jonas Bresch on zeroth-order methods for quotients of quadratic functions (arXiv:2604.26913v1) through the lens of the Riemann Hypothesis (RH). Bresch develops randomized algorithms to compute the extremal generalized Rayleigh quotient—the largest generalized eigenvalue of a matrix pencil—using only function evaluations (zeroth-order oracles) and sampling on the unit sphere. The method eschews tangent-space geometry in favor of unconstrained global sampling.

The Proposed Analogy

We speculate that this computational framework might model how one could probe the spectrum of the hypothetical Hilbert-Pólya operator, whose eigenvalues are conjectured to correspond to the imaginary parts of the Riemann zeta zeros. In this analogy, the generalized Rayleigh quotient corresponds to the expectation value of the Hamiltonian, and the zeroth-order sampling corresponds to evaluating spectral sums (via the explicit formula) without direct access to the operator's eigenfunctions or adjoint.

Strength of the Correspondence

The analogy is rated as suggestive metaphor. While both domains involve spectral optimization (maximizing a quotient to find eigenvalues), the source paper treats finite-dimensional, compact spheres and positive-definite quadratic forms, whereas the Riemann zeta function presents an infinite-dimensional, non-compact spectral problem with no known finite-dimensional quadratic form representation that captures all zeros.

Proposed Experiments

The essay proposes applying Bresch's algorithm to (1) characteristic polynomials of CUE (circular unitary ensemble) matrices to test convergence to the top eigenvalue in a random matrix setting, and (2) finite-dimensional truncations of transfer operators known to approximate zeta functions. The outcome of these experiments—whether the zeroth-order variance scales like the random matrix universality classes or shows anomalous behavior—would inform the viability of the metaphor.

This essay was produced by an automated research pipeline and has not been peer reviewed; conjectures herein are unproven.

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