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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.CoarseEllipticity.UpperHeadSharpCoordinate

UpperHeadSharpCoordinate #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

Sharp one-coordinate wave-head consumption #

This file retains the gamma * hsep factor in the squared wave-head bound. The profile hypotheses are derived from the existing induction and energy gates.

The terminal declarations also assemble the tuned collar-head coordinate estimate, finite trace, and deterministic scale absorption.

theorem Algsuperdiff.Section3.Provider.CoarseEllipticity.collar_head_coordinate_is_big_o_with {d : ℕ} (M : ABKModel d) {m : ℤ} {k : ℕ} {R : HCPolySupport.TriadicCube d} (hR : R ∈ HCPolySupport.descendantsAtScale (HCPolySupport.originCube d m) (m - 1 - ↑k)) {E : { E : ℝ // 1 ≤ E }} (hstate : Frozen.Section3.inductionState M (m - 1) E) {sigma : ℝ} (hsigma0 : 0 < sigma) (hsigma : sigma ≤ 1 / 2) (hmax : max (Real.exp (profileAuxiliaryConst d / sigma)) (Disorder.cstar M)⁻¹ ≤ ↑E) (hEgamma : ↑E ≤ M.gamma ^ (-(1 / 5))) (j : Fin d) :

The collar-head constant converting separation height into a linear budget.

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    The dimension prefactor for the tuned collar-head finite trace.

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      The terminal threshold paying the tuned collar-head prefactor.

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        theorem Algsuperdiff.Section3.Provider.CoarseEllipticity.gamma_product_const_collar_head_le_sixty_four {sigma gamma : ℝ} (hsigma0 : 0 < sigma) (hsigma : sigma ≤ 1 / 2) (hgamma0 : 0 ≤ gamma) (hgamma : gamma / 2 ≤ bfaProfileB * sigma) :
        theorem Algsuperdiff.Section3.Provider.CoarseEllipticity.upper_head_hsep_one_scale_le_const_mul_gamma {sigma gamma : ℝ} (hsigma0 : 0 < sigma) (hsigma : sigma ≤ 1 / 2) (hgamma : 0 ≤ gamma) :

        The exact finite-coordinate scale produced by the tuned collar-head estimate has a dimension-only prefactor, the indispensable cstar⁻¹ * gamma, and genuine tuned exponential decay.