Wigner Semicircle

random-matrix-quantum · 37 views
random-matrix-quantumspectral-RMT

What It Is

Eigenvalue density from large random matrices --- converges to the Wigner semicircle law; for the emitted support [-1, 1] this is ρ(x)=(2/π)√(1-x²) (the √(4-x²)/(2π) form is the radius-2 convention)

Interpretation

Standard analysis sees: rich, high-entropy values; aperiodic / broadband; high-complexity (noise-like); monofractal; high-dimensional / space-filling. The atlas detects no named structure beyond this.

What standard analysis sees
tail heaviness0.36
asymmetry0.38
occupancy0.87
short-range corr0.36
long-range memory0.40
spectral colour0.79
periodicity0.11
complexity0.99
time-irreversibility0.42
volatility clustering0.17
multifractality0.13
dimensionality0.98
nonstationarity0.25
What the atlas adds

Nothing beyond the standard reading — this source’s structure is already captured by standard features; the atlas adds no named residual.

Composition

dtypefloat64
range[-1.054, 1.038]
unique values16384 / 16384
mean ± std-0.000581 ± 0.502

Render Gallery

Atlas Position

Nearest neighborDistance
ChaCha201.95cross-origin
AES Encrypted2.09cross-origin
BSL Residues2.12cross-origin

Open in Atlas →

Which Geometries Light Up

Möbius-S³ › Möbius-S³:phase_profile_deviationrank 305/3060.1087
Predictability › Predictability:sample_entropyrank 3/3062.2365
S² × ℝ (Thurston) › S² × ℝ (Thurston):bingham_concentrationrank 306/3060.3922
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