von Mangoldt Function

number_theory · 36 views
number_theory

What It Is

von Mangoldt Lambda(n) = log(p) if n = p^k for some prime p and k >= 1, else 0. Prime-power-supported sparse signal whose cumulative sum is the Chebyshev psi function. By Riemann's explicit formula psi(x) = x - sum_rho x^rho/rho - log(2 pi) - (1/2) log(1 - x^-2), so Lambda encodes the nontrivial zeros of zeta directly via psi --- the closest one gets to the zeta zeros in pure number-theoretic form.

Interpretation

Standard analysis sees: heavy-tailed; right-skewed; few distinct values; low-complexity (predictable, not noise-like); homoskedastic; multifractal; low-dimensional. The atlas additionally detects deterministic chaos.

What standard analysis sees
tail heaviness0.87
asymmetry0.95
occupancy0.01
short-range corr0.16
long-range memory0.19
spectral colour0.83
periodicity0.62
complexity0.12
time-irreversibility0.46
volatility clustering0.08
multifractality0.92
dimensionality0.01
nonstationarity0.41
What the atlas adds
deterministic chaos+6.5z
positive largest Lyapunov exponent — nearby trajectories diverge exponentially (sensitive dependence)
discrete-map biased — continuous-flow chaos (Lorenz) reads weak; spiky arithmetic sources can false-positive on the finite-time estimate
Atlas-extreme metrics the standard bank can’t predict for this source
Ulam Spiral (Square):diagonal_alignment+4.6zbank-miss 2.1σ
Nonstationarity:dynamic_coupling+4.3zbank-miss 1.2σ
Zipf–Mandelbrot (8-bit):hapax_ratio+3.8zbank-miss 4.3σ
Zipf–Mandelbrot (16-bit):zipf_alpha+3.8zbank-miss 1.0σ
Nonstationarity:change_quantiles_high+3.4zbank-miss 2.7σ
Hodge–Laplacian:source_fraction-3.1zbank-miss 1.7σ
Moiré:moire_peak_alpha+2.8zbank-miss 1.3σ
Zipf–Mandelbrot (8-bit):zipf_alpha+2.8zbank-miss 2.9σ

Composition

dtypefloat64
range[0, 11.53]
unique values1439 / 16384
mean ± std1 ± 3.23

Render Gallery

Atlas Position

Nearest neighborDistance
Prime Indicator3.02
Neural Net (Pruned 90%)4.87cross-domain
Collatz Parity4.93

Open in Atlas →

Which Geometries Light Up

Attractor ReconstructionAttractor Reconstruction:lyapunov_maxrank 2/2980.5361
Higher-Order StatisticsHigher-Order Statistics:skew_meanrank 4/2982.5552
Hyperbolic (Poincaré)Hyperbolic (Poincaré):curvature_structurerank 4/298575.5498
Level StatisticsLevel Statistics:spacing_gue_distancerank 5/2980.9045
Level StatisticsLevel Statistics:spacing_poisson_distancerank 5/2980.9045
MoiréMoiré:moire_peak_alpharank 4/2983.4000
NonstationarityNonstationarity:dynamic_couplingrank 2/2989.2547
WaveformAsymmetryWaveformAsymmetry:waveform_asymmetryrank 5/2980.7950
ZariskiZariski:residual_convexityrank 4/29814.4276
Zipf–Mandelbrot (16-bit)Zipf–Mandelbrot (16-bit):zipf_alpharank 2/2982.5923
Zipf–Mandelbrot (8-bit)Zipf–Mandelbrot (8-bit):hapax_ratiorank 2/2980.3496
Zipf–Mandelbrot (8-bit)Zipf–Mandelbrot (8-bit):zipf_alpharank 4/2983.1801
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