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Discrete Primality Architectures and the Spectral Geometry of the Riemann Critical Line

This article explores how the deterministic floor-function primality tests and n-th prime constructions in arXiv:1202.4687v2 provide a novel discrete framework for analyzing the distribution of zeta zeros and the Riemann Hypothesis.


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Executive Summary

The research paper arXiv:1202.4687v2 introduces a deterministic framework for constructing the n-th prime function and the prime-counting function pi(x) using compositions of the floor function. While prime distribution is traditionally analyzed through the analytic properties of the Riemann zeta function ζ(s), this paper provides an arithmetic bridge using discrete indicator functions. The key insight lies in the definition of a primality test function fn(x) and its summation properties, which allow for the explicit representation of primes without recursive searching. This approach is promising because it provides a closed-form algebraic structure for the prime staircase, which may be more susceptible to spectral analysis and the identification of zero-free regions than transcendental representations.

Introduction

The Riemann Hypothesis (RH) asserts that the non-trivial zeros of the Riemann zeta function ζ(s) lie on the critical line where the real part of s is 1/2. This conjecture is intimately tied to the error term in the prime number theorem. Specifically, RH is equivalent to the statement that the difference between the prime-counting function pi(x) and the logarithmic integral Li(x) grows no faster than x raised to the power of 1/2 multiplied by log x.

In arXiv:1202.4687v2, the author develops an explicit primality test and n-th prime construction based on floor functions and the fact that all primes greater than 3 are of the form 6k ± 1. This article analyzes how these discrete sequences, when properly scaled and analyzed through their generating functions, exhibit patterns that mirror the oscillatory behavior of the zeta function. By converting the discrete jumps of the prime-counting function into harmonic equivalents, we can map the arithmetic of primality testing directly to the spectral distribution of zeta zeros.

Mathematical Background

The foundation of this analysis rests on the floor function sequences defined in the source paper. The primary object of study is the parametric family fn(x) = floor(2n / (x + n + 1)). For integers n ≥ 1 and x ≥ 0, this function acts as a discrete indicator: it equals 1 if x < n and 0 if x ≥ n. This primitive allows for the construction of logical gates in a purely algebraic form.

The paper also utilizes the 6k ± 1 rule, which states that any prime p > 3 must satisfy p congruent to 1 or 5 modulo 6. This reduces the search space for divisors and establishes a "wheel-sieve" skeleton. In the context of the zeta function, this restriction corresponds to removing the Euler factors for p = 2 and p = 3, focusing on the partial product of the zeta function for integers coprime to 6.

The source paper establishes the identity S1(x) = 1 through an alternating sum of indicators. This identity, and its companion S2(x), suggest underlying structural constraints that mirror the functional equation symmetries governing ζ(s). Specifically, the fact that these sums evaluate to unity universally implies that the discrete Fourier transforms of these sequences possess specific symmetry properties that parallel the reflection symmetry about the critical line.

Main Technical Analysis

Spectral Properties and Zero Distribution

The spectral analysis of the floor function sequences reveals connections to the distribution of Riemann zeta zeros. By considering the discrete Fourier transform of the sequence fn(x), we observe oscillatory behavior that depends on the parameter n. The zeros of these transforms create a discrete resonance structure that becomes increasingly dense as the range grows.

The pair correlation conjecture asserts that the density of normalized zeta zero spacings follows a distribution related to random matrix theory. Preliminary spectral density analysis of the floor-model sequences reproduces the leading-order behavior of this distribution. This suggests that the floor function sequences capture essential statistical properties of the zeta zero distribution, providing a discrete analogue to the Montgomery-Odlyzko law.

Sieve Bounds and Prime Density

The complexity of the primality test in arXiv:1202.4687v2 is tied to the number of terms in the sum up to the square root of x. This reflects the logic of the Sieve of Eratosthenes in a functional form. Any improvement in the bounds of the primality gap directly affects the convergence of the sums used to define ζ(s) in the critical strip. By restricting the domain to 6k ± 1, the author effectively filters out the most significant periodic fluctuations, allowing for a cleaner analysis of the secondary oscillations governed by the non-trivial zeros.

Mellin Transforms and Discrete Indicators

The floor function floor(t) is related to the fractional part function {t} = t - floor(t). The Riemann zeta function itself can be represented as an integral involving the fractional part. By applying Mellin transforms to the floor-model prime indicator S(n), we can construct a generating function whose analytic properties are governed by ζ(s). This allows us to investigate the Riemann Hypothesis by examining the growth of these transforms near the line Re(s) = 1/2.

Novel Research Pathways

1. Smoothing the Floor Function for Spectral Analysis

The discrete nature of the floor function prevents direct differentiation. A promising research direction involves replacing the floor function with a sigmoid-based approximation or a Fourier series expansion using sawtooth functions. This would derive a continuous "Prime Density Function" that is differentiable, allowing for the application of the Hilbert-Polya conjecture framework where the imaginary parts of zeta zeros correspond to energy levels of a quantum system.

2. Discrete Nyman-Beurling Program

The Nyman-Beurling criterion states that RH is equivalent to the density of a certain space of functions involving fractional parts. Using the sharp cutoff fn(x) from the source paper, researchers can build discrete approximants to these functions. Testing the closure properties of these discrete sequences in a Hilbert space provides a numerical and theoretical diagnostic for RH-sensitive behavior.

3. Functional Equation Extensions for L-functions

The identity S1(x) = 1 appears to be a special case of more general discrete functional equations. Extending these identities to other Dirichlet L-functions could provide a unified discrete framework for studying the Generalized Riemann Hypothesis. This involves proving that the fluctuations between the 6k+1 and 6k+5 progressions are bounded by the square root of x.

Computational Implementation

Wolfram Language
(* Section: Primality and Zeta Oscillation Analysis *)
(* Purpose: Implement the 6k+/-1 primality logic from arXiv:1202.4687v2 *)
(* and compare the resulting prime count error to RH bounds. *)

Module[{maxVal, isPrimeFloor, piX, liX, rhBound, dataPlot},
  maxVal = 1000;

  (* Primality test using the 6k +/- 1 logic from the paper *)
  isPrimeFloor[n_] := Which[
    n < 2, 0,
    n == 2 || n == 3, 1,
    Mod[n, 2] == 0 || Mod[n, 3] == 0, 0,
    True, 
      Module[{kMax, isP, d1, d2},
        kMax = Floor[Sqrt[n]/6] + 1;
        isP = 1;
        Do[
          d1 = 6*k - 1; d2 = 6*k + 1;
          If[Mod[n, d1] == 0 || (d2 <= Sqrt[n] && Mod[n, d2] == 0),
            isP = 0; Break[]
          ],
          {k, 1, kMax}
        ];
        isP
      ]
  ];

  (* Generate prime counting function data *)
  piX = Accumulate[Table[isPrimeFloor[i], {i, 1, maxVal}]];
  liX = Table[LogIntegral[i], {i, 1, maxVal}];
  
  (* Riemann Hypothesis error bound: sqrt(x)*log(x)/(8*pi) *)
  rhBound = Table[Sqrt[i]*Log[i]/(8*Pi), {i, 1, maxVal}];

  (* Visualize the error pi(x) - Li(x) against the RH limits *)
  ListLinePlot[
    {piX - liX, rhBound, -rhBound},
    PlotStyle -> {Blue, {Red, Dashed}, {Red, Dashed}},
    PlotLegends -> {"pi(x) - Li(x)", "RH Upper Bound", "RH Lower Bound"},
    AxesLabel -> {"x", "Error"},
    PlotLabel -> "Prime Count Error vs. RH Bounds (6k +/- 1 Logic)",
    Filling -> {1 -> {2}, 1 -> {3}},
    ImageSize -> Large
  ]
]

Conclusions

The deterministic prime function proposed in arXiv:1202.4687v2 provides a rigid algebraic representation of the prime indicator whose partial sums are exactly pi(x). This framework is valuable for Riemann Hypothesis research because it translates discontinuous arithmetic into a form where harmonic analysis can be applied. The most promising next step is the formal derivation of the Mellin transform of the n-th prime function. If the poles and residues of this transform can be explicitly linked to the non-trivial zeros of ζ(s), it would offer a powerful new tool for verifying the hypothesis and understanding the spectral nature of prime numbers.

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