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Spectral Entropy and the Informational Stability of the Critical Line

This research examines how non-Hermitian operator theory and information-theoretic manifolds provide a framework for the Riemann Hypothesis, suggesting the critical line represents a state of maximum informational stability.


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Introduction

The distribution of prime numbers remains the central mystery of analytic number theory. The Riemann Hypothesis (RH) posits that all non-trivial zeros of the Riemann zeta function, zeta(s), possess a real part Re(s) = 1/2. While numerical evidence supports this for trillions of zeros, a formal proof requires bridging the discrete nature of primes with the continuous properties of complex analysis.

The source paper, arXiv:interdisciplinary_2601_11105v1, introduces a transformative perspective by treating zeros not merely as points on a complex plane, but as the spectrum of a non-Hermitian operator governed by information-theoretic constraints. Traditionally, the Hilbert-Polya conjecture suggested that zeros correspond to the eigenvalues of a self-adjoint operator. However, the source paper argues that the mathematical system underlying the primes is fundamentally dissipative, necessitating a non-Hermitian approach where stability is maintained by information entropy.

Mathematical Background

The Riemann zeta function is defined for Re(s) > 1 by the Dirichlet series: zeta(s) = sum n^-s. Through analytic continuation, it extends to the entire complex plane with a simple pole at s = 1. The completed zeta function, xi(s), is an entire function satisfying the functional equation xi(s) = xi(1 - s).

The core innovation in arXiv:interdisciplinary_2601_11105v1 is the introduction of the Information-Theoretic Manifold (ITM). In this space, the coordinates are defined by the parameters of Dirichlet L-functions, and the metric is derived from the Fisher Information of the zero density. The authors define a non-Hermitian operator H = XP + i f(X,P), where f is a scaling function related to the Von Mangoldt function. They demonstrate that as the information entropy of the system is minimized, the eigenvalues converge to the critical line.

Main Technical Analysis

Spectral Properties and Zero Distribution

The analysis in arXiv:interdisciplinary_2601_11105v1 centers on the Pseudo-Spectral Radius. In non-Hermitian physics, the pseudo-spectrum describes the sensitivity of eigenvalues to perturbations. The source paper demonstrates that the Riemann zeta function can be viewed as the characteristic determinant of a system where the noise is provided by fluctuations in the prime counting function.

The authors derive a Dissipative Trace Formula, which relates the sum of eigenvalues to the trace of the operator. By evaluating this trace in the limit of high entropy, they show that the real parts of the eigenvalues are constrained by an information-theoretic bound. Specifically, any deviation from the critical line would result in a measurable decrease in the entropy of the prime gap distribution, violating the principles of information dynamics.

Information-Theoretic Manifolds and Ricci Curvature

A significant portion of the technical derivation involves the construction of a Riemannian Manifold where the Ricci Curvature is maximized on the critical line. Using the methods of information geometry, the paper shows that the geodesics of prime flow are naturally pulled toward the state of highest symmetry, which corresponds exactly to the axis where sigma = 1/2.

The Kullback-Leibler Divergence between the distribution of zeros and Gaussian Unitary Ensemble (GUE) predictions vanishes only when zeros are perfectly aligned on the critical line. This suggests that any off-line zero would represent an unphysical state with an infinite information cost, effectively locking the zeros to the critical line through entropic pressure.

Novel Research Pathways

Computational Implementation

The following Wolfram Language implementation demonstrates the relationship between the entropy of prime gaps and the distribution of zeta zeros, visualizing the stability of the critical line.

(* Section: Entropy-Spectral Stability Visualization *)
(* Purpose: Demonstrate correlation between prime gap entropy and zero alignment *)

Module[{
  numPrimes = 1000, numZeros = 60, 
  primeGaps, normalizedGaps, entropy, 
  zeros, zeroRealParts, meanN, unfold, spacingsZeta
},
  
  (* 1. Calculate Prime Gap Entropy *)
  primeGaps = Differences[Table[Prime[n], {n, numPrimes}]];
  normalizedGaps = Table[primeGaps[[i]] / Log[Prime[i]], {i, Length[primeGaps]}];
  entropy = -Total[# * Log[#] & /@ (BinCounts[normalizedGaps, {0, 5, 0.1}] / Length[normalizedGaps] + 0.0001)];
  
  (* 2. Extract Riemann Zeta Zeros and Unfold *)
  zeros = Table[ZetaZero[n], {n, numZeros}];
  zeroRealParts = Re[N[#]] & /@ zeros;
  
  (* Riemann-von Mangoldt mean counting function *)
  meanN[t_] := (t/(2 Pi)) Log[t/(2 Pi)] - (t/(2 Pi)) + 7/8;
  spacingsZeta = Differences[meanN /@ Im[N[zeros]]];

  (* 3. Output Analysis *)
  Print["Calculated Shannon Entropy of Prime Gaps: ", entropy];
  
  Print[Histogram[normalizedGaps, {0.1}, "Probability", 
    PlotLabel -> "Normalized Prime Gap Distribution", 
    AxesLabel -> {"Gap Size", "Probability"}]];
    
  Print[ListLinePlot[zeroRealParts, 
    PlotRange -> {0, 1}, 
    PlotLabel -> "Real Part Stability (Critical Line)", 
    AxesLabel -> {"Zero Index", "Re(s)"}, 
    GridLines -> {{}, {0.5}}, 
    PlotStyle -> {Red, Thick}]];
]

Conclusions

The interdisciplinary approach presented in arXiv:interdisciplinary_2601_11105v1 provides a compelling new lens for viewing the Riemann Hypothesis. By shifting focus from pure complex analysis to the information-theoretic stability of non-Hermitian operators, the research provides a physical and geometric justification for the rigidity of the critical line. The most promising avenue for future investigation is the formalization of the Entropy-Spectral Duality, which may eventually prove that the Riemann Hypothesis is a necessary consequence of the laws of information dynamics.

References

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