Logistic Chaos

iterated-maps · 37 views
iterated-mapschaotic

What It Is

The simplest chaotic system --- one-line recurrence x(n+1) = 4x(1-x) at r=4, filling the unit interval ergodically with a beta(½,½) distribution

Interpretation

Standard analysis sees: bounded / light-tailed; blue spectrum (high-frequency power); time-irreversible (slow rise, sharp collapse); homoskedastic. The atlas additionally detects discrete-map sensitive dependence, Time Reversibility:ordinal_reversal_distance, Attractor Reconstruction:lyap_entropy.

What standard analysis sees
tail heaviness0.12
asymmetry0.31
occupancy0.79
short-range corr0.20
long-range memory0.33
spectral colour0.85
periodicity0.16
complexity0.43
time-irreversibility0.05
volatility clustering0.07
multifractality0.32
dimensionality0.84
nonstationarity0.19
What the atlas adds
discrete-map sensitive dependence+3.8z
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
Time Reversibility:ordinal_reversal_distance+2.8z
time-reversal symmetry breaking via Bandt-Pompe ordinal patterns
Attractor Reconstruction:lyap_entropy+2.5z
Kolmogorov-Sinai entropy production rate (sum of positive λ)
Atlas-extreme metrics the standard bank can’t predict for this source
Hölder Regularity:alpha_autocorrelation+5.5zbank-miss 1.8σ

Composition

dtypefloat64
range[5.996e-09, 1]
unique values16384 / 16384
mean ± std0.5 ± 0.354

Render Gallery

Atlas Position

Nearest neighborDistance
Uniform Chaos (Logistic Scramble)2.79
Tent Map3.02
Baker Map3.18

Open in Atlas →

Which Geometries Light Up

CayleyCayley:delta_hyp_normrank 5/3070.2611
Hölder RegularityHölder Regularity:alpha_autocorrelationrank 2/3070.4235
SymplecticSymplectic:phase_reflection_symmetryrank 303/307-0.0337
in number-theory
alphabetical
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