von Mangoldt Function

number-theory · 37 views
number-theoryarithmetic

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 discrete-map sensitive dependence.

What standard analysis sees
tail heaviness0.87
asymmetry0.95
occupancy0.01
short-range corr0.16
long-range memory0.18
spectral colour0.84
periodicity0.62
complexity0.12
time-irreversibility0.45
volatility clustering0.08
multifractality0.91
dimensionality0.01
nonstationarity0.41
What the atlas adds
discrete-map sensitive dependence+5.6z
deterministic chaos (positive λ_max, sensitive dependence)
names a discrete-map-scoped estimate, NOT chaos in general — continuous-flow chaos (Lorenz, Rössler) reads weak/neutral here despite being genuinely chaotic; 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+4.4zbank-miss 1.6σ
Higher-Order Statistics:skew_mean+3.9zbank-miss 1.1σ
Zipf–Mandelbrot (8-bit):hapax_ratio+3.7zbank-miss 4.0σ
Zipf–Mandelbrot (16-bit):zipf_alpha+3.7zbank-miss 1.4σ
Nonstationarity:change_quantiles_high+3.4zbank-miss 2.7σ
Hodge–Laplacian:source_fraction-3.1zbank-miss 1.8σ
Zipf–Mandelbrot (8-bit):zipf_alpha+2.7zbank-miss 3.7σ
Mostow Rigidity:spectral_rigidity-2.5zbank-miss 1.9σ

Composition

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

Render Gallery

Atlas Position

Nearest neighborDistance
Prime Indicator3.13
Gap-Word β-Shift4.63cross-origin
Neural Net (Pruned 90%)4.68cross-origin

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Which Geometries Light Up

Attractor ReconstructionAttractor Reconstruction:lyapunov_maxrank 3/3070.5361
Higher-Order StatisticsHigher-Order Statistics:skew_meanrank 5/3072.5552
Hyperbolic (Poincaré)Hyperbolic (Poincaré):curvature_structurerank 4/307575.5498
Level StatisticsLevel Statistics:spacing_gue_distancerank 5/3070.9045
Level StatisticsLevel Statistics:spacing_poisson_distancerank 5/3070.9045
MoiréMoiré:moire_peak_alpharank 5/3073.4000
NonstationarityNonstationarity:dynamic_couplingrank 4/3079.2547
Zipf–Mandelbrot (16-bit)Zipf–Mandelbrot (16-bit):zipf_alpharank 2/3072.5923
Zipf–Mandelbrot (8-bit)Zipf–Mandelbrot (8-bit):hapax_ratiorank 2/3070.3496
Zipf–Mandelbrot (8-bit)Zipf–Mandelbrot (8-bit):zipf_alpharank 4/3073.1801
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