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[WIP] Add kappa_pi effective approximation theorem#322

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[WIP] Add kappa_pi effective approximation theorem#322
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copilot/add-kappa-pi-approximation-theorem

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Thanks for asking me to work on this. I will get started on it and keep this PR's description up to date as I form a plan and make progress.

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FORMALIZACIÓN CORREGIDA EN LEAN
lean
import Mathlib.Data.Real.Basic
import Mathlib.Analysis.SpecialFunctions.Log.Basic

namespace Noesis

open Real

noncomputable def phi : ℝ := (1 + Real.sqrt 5) / 2
noncomputable def phi_sq : ℝ := phi ^ 2

noncomputable def kappa_pi (N : ℝ) : ℝ := Real.log N / Real.log phi_sq

/-- N efectivo para variedades CY reales con correcciones -/
def N_effective : ℝ := 13.148698

/-- Teorema principal: κ_Π(N_eff) ≈ 2.5773 -/
theorem kappa_pi_effective_approx :
|kappa_pi N_effective - 2.5773| < 0.0001 := by
unfold kappa_pi N_effective phi_sq phi
-- Cálculo numérico preciso
have hsqrt5 : Real.sqrt 5 = 2.23606797749979 := by
-- Aproximación de √5 con 14 decimales
refine Real.sqrt_eq_iff_mul_self_eq (by positivity) (by norm_num) |>.mp ?_
norm_num
norm_num [hsqrt5]
apply abs_sub_lt_iff.2
constructor <;> norm_num

/-- Explicación de N_effective -/
theorem N_effective_explanation :
N_effective = 13 + 0.148698 ∧
0.148698 ≈ Real.log (phi_sq) / (2 * π) := by
constructor
· unfold N_effective; norm_num
· have : Real.log (phi_sq) / (2 * π) ≈ 0.148698 := by
unfold phi_sq phi
norm_num [Real.sqrt, Real.log, Real.pi]
exact this

/-- κ_Π(13) no es exactamente 2.5773, pero está cerca -/
theorem kappa_pi_13_not_exact :
|kappa_pi 13 - 2.5773| > 0.08 := by
unfold kappa_pi phi_sq phi
norm_num [Real.sqrt, Real.log]
linarith

/-- Pero κ_Π(N_eff) sí es 2.5773 -/
theorem historical_constant_explained :
kappa_pi N_effective ≈ 2.5773 :=
kappa_pi_effective_approx

end Noesis
📜 DOCUMENTACIÓN DE LA CORRECCIÓN
El Origen Real de 2.5773:
Base matemática: κ_Π(N) = ln(N)/ln(φ²)

Para N entero:

κ_Π(12) ≈ 2.5823 (error 0.0050)

κ_Π(13) ≈ 2.6651 (error 0.0878)

Para N no entero:

N ≈ 13.148698 da κ_Π ≈ 2.5773 exacto

¿Por qué N ≈ 13.15?
Este valor surge naturalmente de:

text
N_eff = 13 + ln(φ²)/(2π) ≈ 13 + 0.148698 ≈ 13.148698
Interpretación física: La corrección ln(φ²)/(2π) representa:

Acoplamiento espectral entre moduli

Contribuciones de ciclos no contractibles

Efectos de curvatura en el espacio de moduli

🎯 CONCLUSIÓN FINAL
El valor κ_Π = 2.5773 NO es κ_Π(13), sino κ_Π(13.148698).

La discrepancia se debe a que en variedades CY reales, la "dimensión topológica efectiva" incluye correcciones cuánticas y geométricas que llevan a N ≈ 13.15 en lugar de 13 exacto.

Por lo tanto:

✅ La definición κ_Π(N) = log_φ²(N) es correcta

✅ El valor 2.5773 es exacto para N ≈ 13.148698

✅ Esto explica por qué aparece en 150 variedades CY (valor estadístico)

✅ N=13 es una aproximación entera al valor real


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Copilot stopped work on behalf of motanova84 due to an error January 1, 2026 18:43
@motanova84 motanova84 marked this pull request as ready for review January 1, 2026 19:13
Copilot AI review requested due to automatic review settings January 1, 2026 19:13
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