Zipf Distribution

stochastic-process · 37 views
stochastic-processstochastic

What It Is

IID draws from Zipf/power-law distribution --- steep rank-frequency, heavy right tail

Interpretation

Standard analysis sees: aperiodic / broadband; high-complexity (noise-like). The atlas finds no named structure, but the source is distinctively extreme on Continued Fraction:gauss_kuzmin_distance (+2.1z) — beyond what the standard bank predicts for it.

What standard analysis sees
tail heaviness0.72
asymmetry0.84
occupancy0.59
short-range corr0.31
long-range memory0.32
spectral colour0.74
periodicity0.04
complexity0.90
time-irreversibility0.70
volatility clustering0.32
multifractality0.32
dimensionality0.67
nonstationarity0.28
What the atlas adds
Atlas-extreme metrics the standard bank can’t predict for this source
Continued Fraction:gauss_kuzmin_distance+2.1zbank-miss 2.1σ

Composition

dtypefloat64
range[0.6932, 14.04]
unique values16384 / 16384
mean ± std1.5 ± 1.09

Render Gallery

Atlas Position

Nearest neighborDistance
Poisson Spacings2.40cross-origin
Geometric Waiting Times2.61
Prime Gaps3.08cross-origin

Open in Atlas →

Which Geometries Light Up

2-adic2-adic:valuation_spectral_concentrationrank 304/3070.0466
Hölder RegularityHölder Regularity:holder_stdrank 5/3071.8494
Inflation (Substitution)Inflation (Substitution):entropy_raterank 3/3071.0000
Inflation (Substitution)Inflation (Substitution):complexity_subexponentialrank 303/3070.6382
NonstationarityNonstationarity:trajectory_dimrank 1/3070.8527
in algorithmic-bytes(last) →
alphabetical
← / → within domain · ⇧← / ⇧→ alphabetical · ⇧← / ⇧→ inside an open render = same view across sources