Logistic Chaos

chaos · 36 views
chaos

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; time-irreversible (slow rise, sharp collapse); homoskedastic. The atlas additionally detects deterministic chaos.

What standard analysis sees
tail heaviness0.12
asymmetry0.32
occupancy0.79
short-range corr0.20
long-range memory0.33
spectral colour0.85
periodicity0.15
complexity0.43
time-irreversibility0.05
volatility clustering0.07
multifractality0.32
dimensionality0.84
nonstationarity0.19
What the atlas adds
deterministic chaos+4.5z
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
Hölder Regularity:alpha_autocorrelation+6.6zbank-miss 1.7σ

Composition

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

Render Gallery

Atlas Position

Nearest neighborDistance
Tent Map3.06
Baker Map3.22
Logistic r=3.9 (Near-Full Chaos)3.81

Open in Atlas →

Which Geometries Light Up

Attractor ReconstructionAttractor Reconstruction:lyap_entropyrank 5/2983.1182
CayleyCayley:delta_hyp_normrank 3/2980.2611
Hölder RegularityHölder Regularity:alpha_autocorrelationrank 1/2980.4235
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