CRR Parameters

Particles: 30000 · FPS: 0 · C̄: 0
Click canvas to cycle forms
CRR Geometric Murmuration
How CRR relates to geometry

CRR & Geometry

What this simulation computes: The full CRR equations—coherence accumulation C(x,t) = ∫L(x,τ)dτ, instantaneous rupture δ(now) when C·Ω = 1, and regeneration R = ∫φ·exp(C/Ω)·Θ dτ—are computationally expensive for 30,000 interacting particles in real time.

This simulation approximates CRR dynamics through: coherence accumulation via exponential moving average, exp(C/Ω)-weighted neighbour influence (the regeneration weighting), and partial coherence reduction on shape transitions (approximating rupture). It does not compute the full rupture condition, Dirac delta events, Cramér-Rao bounds, or CV predictions. Those require the analytical framework described in the paper.

The Three Equations

C(x,t) = ∫L(x,τ)dτ  — coherence accumulates
δ(now) when C·Ω = 1  — rupture is instantaneous
R = ∫φ·exp(C/Ω)·Θ dτ  — regeneration weighted by coherence history

Ω is the boundary permeability (characteristic variance). Small Ω → rigid, crystalline forms (only highest-coherence memories accessible). Large Ω → fluid transformation (all history equally weighted).

Symmetry Classes

Z₂ (bistable): Ω = 1/π ≈ 0.318,   CV = 1/(2π) ≈ 0.159
SO(2) (rotational): Ω = 1/2π ≈ 0.159,   CV = 1/(4π) ≈ 0.080

CV = Ω/2 follows from the Dirac delta distributing unit mass equally across the Markov blanket boundary at rupture: σ(C*) = 1/2 universally.

Geometry as Coherence Basin

Certain spatial configurations are stable under CRR dynamics—once particles arrive and align with neighbours, their coherence increases, which strengthens their position via exp(C/Ω). The geometry becomes self-stabilising.

The forms in this simulation are either constitutive of CRR's mathematical structure, or emerge from applying CRR's optimisation framework to classical mathematics. Each is annotated with its derivation status:

§CRR Follows from CRR's equations or symmetry classification
§SOLVED CRR poses the optimisation; external mathematics solves it
§PARTIAL CRR provides genuine structure; geometry is classical

The Forms

Circle §CRR
S¹ is axiomatic to CRR. All temporal processes map to the circle. This is not derived—it is the space CRR lives on.

Yin Yang §CRR
Z₂ partitions S¹ into two complementary halves. The S-curve boundary sits where coherence of the two phases is equal: Cyin = Cyang. For circular coherence fields at ±R/2, this traces two semicircles—the characteristic embracing curve. The seeds (dots) are coherence nucleation points where exp(C/Ω) for the minority phase is maximal.

Lemniscate (∞) §CRR
A Z₂ system traversed continuously. The crossing point is the rupture—phase inverts, coherence flips sign. CRR predicts the topology (figure-8); the specific metric (Bernoulli's lemniscate) is one realisation.

Ouroboros §CRR
The C → δ → R cycle closing on itself. Body = accumulated coherence. Mouth = rupture. Eating = regeneration feeding back. The body thickens as θ increases because coherence accumulates along the cycle: thickness ∝ exp(θ/2π). This is a process isomorphism, not a derivation.

Torus §CRR
Two independent SO(2) processes give S¹ × S¹ = T², the torus. CRR's symmetry classification produces this topology directly.

Fibonacci Spiral §SOLVED
Sequential coherence events placed on S¹. To maximise events before rupture (C·Ω = 1), distribute them as uniformly as possible. By Weyl's equidistribution theorem, the unique optimal angle has continued fraction [1,1,1,…] = 1/φ, giving 2π(2−φ) ≈ 137.508°. CRR provides the optimisation criterion; number theory solves it.

Flower of Life §PARTIAL
Multiple SO(2) coherence basins. Overlap regions (vesicae) have elevated exp(C/Ω), making them preferential regeneration sites. Packing maximum basins without exceeding the rupture threshold gives the 2D kissing number (6 = hexagonal). CRR motivates the optimisation and gives the vesicae physical meaning; the answer (hexagonal) is classical.

Vesica Piscis §PARTIAL
Two equal SO(2) basins overlapping. The intersection has CA + CB > max(CA, CB), creating elevated exp(C/Ω)—a preferential site for regeneration. For small Ω (rigid), the peak is sharp and focused; for large Ω (fluid), the entire overlap contributes. The geometry is Euclid; CRR gives the overlap physical meaning.

What CRR Dynamics Add to This Simulation

In a standard particle system, particles follow instantaneous forces. Here, particles carry coherence history. Their influence on neighbours scales as exp(C/Ω)—highly coherent particles have exponentially more pull. This creates organic formation: aligned particles arrive first and draw others through the coherence field. The geometry becomes self-stabilising because arriving at the target increases alignment, which increases coherence, which strengthens attraction. This feedback loop is CRR's genuine contribution to the visual dynamics.

Framework by Alexander Sabine · temporalgrammar.ai

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