Sol (Thurston)

Hyperbolic splitting, exponential divergence
symmetrydim 33 metrics

What It Measures

Exponential anisotropy — whether one direction stretches while another contracts.

Builds a path through Sol space using the group law (x1 + e^{z1} * x2, y1 + e^{-z1} * y2, z1 + z2). Each step from a triple of byte values moves through a geometry where the x-direction is exponentially inflated and the y-direction exponentially compressed by the z-coordinate. Data with directional bias accumulates a strong z-drift; isotropic data wanders near z=0. The Sol metric amplifies any asymmetry in the data's local structure into exponentially different path lengths.

Metrics

path_length

Total distance traveled in the Sol metric. Symbolic Henon (30.2M) scores highest: its chaotic dynamics create large steps that the exponential Sol metric amplifies enormously. Fibonacci word (28.3M) is close behind — its substitution structure produces systematic z-accumulation that inflates path length. Logistic period-3 scores only 82,909 — its tight orbit keeps z near zero, suppressing the exponential amplification. The 3-order-of-magnitude range across non-degenerate sources makes this a powerful separator.

z_drift

Final z-coordinate after traversing the signal. Clamped to [-5, 5] to keep the exponential factors finite. Stern-Brocot walk, El Centro earthquake, and forest fire all hit the +5 ceiling — they have systematic upward drift in their byte-triple structure. Prime gaps, divisor count, and Collatz gap lengths hit -5 (systematic downward drift). Z-drift is a signed metric: its polarity reveals which direction the data's asymmetry favors.

z_variance

Variance of the z-coordinate along the path. Van der Pol (23.4) and Hilbert walk (23.1) score highest: their oscillatory dynamics push z back and forth across its full range. Rainfall (0.018) barely moves z at all — the exponential distribution's near-zero values produce tiny increments. High z_variance without high z_drift means the path oscillates in the exponential direction; high drift with low variance means it ramps monotonically.

dz_persistence

Autocorrelation of the z-increments. Measures whether the exponential direction's changes are persistent (trending) or anti-persistent (oscillating). Not yet in the atlas — recently added.

Atlas Rankings

path_length
SourceDomainValue
Logistic Edge-of-Chaoschaos33301994.5346
Sine Map (Feigenbaum)chaos32828213.2679
Logistic r=3.5 (Period-4)chaos31729860.1845
···
Logistic r=3.2 (Period-2)chaos6350.4459
Circle Map Quasiperiodicchaos7704.6942
Phyllotaxisbio8485.0615
sol_step_persistence
SourceDomainValue
fBm (Persistent)noise0.9099
Perlin Noisenoise0.9048
Mertens Functionnumber_theory0.8975
···
Pell Wordexotic-0.2310
Logistic r=3.2 (Period-2)chaos-0.2000
Fibonacci Wordexotic-0.1382
z_variance
SourceDomainValue
Van der Pol Oscillatorexotic23.4171
Riemann-Hardy-Littlewoodexotic23.0570
ETH/BTC Ratiofinancial22.3030
···
Solar Flares Daily Peakastro0.0176
Aubry-André Criticalquantum0.0176
Rainfall (ORD Hourly)climate0.0176

When It Lights Up

Sol is the only Thurston geometry where the metric itself is exponential — the other seven (Euclidean, spherical, hyperbolic, Nil, the two products, SL(2,R)) all have at most polynomial distortion. This makes Sol path_length the framework's most sensitive amplifier of structural asymmetry. In the symmetry view, Sol separates sources that have directional z-bias (natural signals that saturate z_drift at ±5) from symmetric sources (chaos, noise) that wander without trend. The three metrics together form a concise dynamical portrait: drift tells you the direction, variance tells you the oscillation, and path_length integrates both through the exponential lens.

Open in Atlas
← D4 TrialityG2 Root System →