Coherence Attractor Theorem
First-principles proof
Machine verifiedA keep-set exists. A shrink rule sends everything else toward it. If the gap is clean, the ending is unique. HARs, in this model, change how fast a developmental network falls in — not the size of the keep-set.
Axioms
01
Information is fundamental
Whatever a brain, a genome, or a circuit is made of, what persists is pattern — who talks to whom, and which patterns survive noise.
02
Coherence is the variational principle
Systems tend to keep what still fits together and drop what fights itself. That is not mysticism — it is the same idea as water finding a basin.
03
Recursion is the mechanism
Nothing interesting happens in one shot. The genome, the brain, and the math all work by repeating a simple rule until only the stable part remains.
04
The kernel is invariant
Some patterns are invisible to the rule that erases everything else. Those patterns are the ones that last.
05
A positive spectral gap implies convergence
If there is a clean gap between 'keep' and 'drop,' the drop happens exponentially fast. No gap, no clean ending.
Core identities
Selector
K = (C − 6I)(C − 30I)
A filter that keeps two special families of patterns and rejects the rest.
Dissipation
A = K†K = K² ≥ 0
Turn the filter into a one-way shrink rule. Only the keep-set is untouched.
Step
Γ_ε = I − ε A, 0 < ε < 2 / λ_max(A)
Each round multiplies the leftovers by a number smaller than one.
Limit
lim Γ_εⁿ = P₄₇
After enough rounds you are looking only at the keep-set.
Invariant
Ω_c = dim E₄₇ / dim V = 47/125 = 0.376
The fraction that remains. On this carrier it is exact, not fitted.
Proof steps
01
Existence of the kernel
The keep-set is not empty. The algebra names it: forty-seven dimensions that the eraser cannot see.
02
Contraction on the complement
Everything outside the keep-set shrinks each round — like echoes dying in a canyon.
03
Convergence to the attractor
Repeat the shrink step. The leftovers approach the keep-set and stay there.
04
Variational optimality
Among nearby patterns, the keep-set is the one that costs the least to maintain.
05
Levinthal-type folding corollary
A protein does not try every shape. If folding is a contraction toward a basin, the search is polynomial, not cosmic.
06
HAR modulation of the gap
Human-accelerated switches do not change the keep-fraction. They can change how fast a developmental network falls into its stable pattern.
Machine certificate
nicholaskouns-create/E47-Kartekeya
- dim V
- 125
- dim E₄₇
- 47
- gap(K²)
- 11664
- λ_max
- 186624
- Tr P₄₇
- 47
- Ω_c
- 0.376
- ‖Γⁿ−P‖
- 9.84e-11
- QuTiP
- pass
A public Python package rebuilds the operators and checks every identity above. The numbers are not decorations.
Boundaries
What is certified
The 125-dimensional algebra, the 47-dimensional keep-set, the shrink rule, and the certificates in the public code repository.
What is a map, not a proof
Saying HARs 'are' the keep-set is a translation, not a theorem. The genome is not a 125-dimensional spin cube unless we build that dictionary and test it.
HARs themselves
HARs are real: short, mostly noncoding, human-accelerated DNA, enriched near brain-development genes. They are not a diagnosis and not destiny.
QEGT is a statistical operator first
The mixing-board math says cheaper programs get more weight. That is a softmax, not a proof that developing brains are quantum computers, and not a proof that 47/125 is a cognition cutoff.