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Energy moments and radial variations throughout a long shear tail

Proved
BianchiIX.exists_restartShearTail_radial_control

by trppppp · Nov 6, 2026 · Mathlib 0df444a (Lean v4.33.1)

bianchi-ix-era-statisticsdynamical-systems

Write Φtx\Phi_t xΦt​x for the normalized vacuum Bianchi IX flow and xh(Z)x_h(Z)xh​(Z) for the constraint-one, negative-first-shear chart with primary wall hhh and center coordinates Z=(v,b,c)Z=(v,b,c)Z=(v,b,c) (second shear and the other two walls). At time ttt, denote its primary wall by ntn_tnt​ and center by ZtZ_tZt​. Set r(Z)=v2+(b−c)2r(Z)=\sqrt{v^2+(b-c)^2}r(Z)=v2+(b−c)2​. For u=1−h2u=\sqrt{1-h^2}u=1−h2​ define A=3/(2+u)A=3/(2+u)A=3/(2+u), B=33h/(2+u)2B=3\sqrt3 h/(2+u)^2B=33​h/(2+u)2, H=9(1+u)/(2(2+u)2)H=9(1+u)/(2(2+u)^2)H=9(1+u)/(2(2+u)2), Qh(v,w)=(Av+Bw)2+H2w2Q_h(v,w)=(Av+Bw)^2+H^2w^2Qh​(v,w)=(Av+Bw)2+H2w2 and Fh(Z)=Qh(v,b−c)/3F_h(Z)=\sqrt{Q_h(v,b-c)}/\sqrt3Fh​(Z)=Qh​(v,b−c)​/3​. On a shear annulus take 0<a0<a0<a, ρ∈[a,2a]\rho\in[a,2a]ρ∈[a,2a], Z=(ρ,n2,n3)Z=(\rho,n_2,n_3)Z=(ρ,n2​,n3​), s=(q/2)log⁡(1/a)s=(q/2)\log(1/a)s=(q/2)log(1/a), Y=ΠΦsxh(Z)Y=\Pi\Phi_s x_h(Z)Y=ΠΦs​xh​(Z), k=(Y0−1)2+Y22k=\sqrt{(Y_0-1)^2+Y_2^2}k=(Y0​−1)2+Y22​​ and F=Fh(Z)F=F_h(Z)F=Fh​(Z). A signed annulus uses Z=(ωρ,n2,n3)Z=(\omega\rho,n_2,n_3)Z=(ωρ,n2​,n3​), ∣ω∣=1|\omega|=1∣ω∣=1. Here h>0h>0h>0 is sufficiently small and a>0a>0a>0 is sufficiently small thereafter. Primes are ordinary radial derivatives with labels and cutoff fixed. The long cutoff adds S=(D/a)log⁡(1/a)S=(D/a)\log(1/a)S=(D/a)log(1/a) to sss. Write YL=ΠΦs+Sxh(Z)Y_L=\Pi\Phi_{s+S}x_h(Z)YL​=ΠΦs+S​xh​(Z), and write (ζ,ν)=(n2,n3)(\zeta,\nu)=(n_2,n_3)(ζ,ν)=(n2​,n3​). Take 0≤ϵ≤1/1280\le\epsilon\le1/1280≤ϵ≤1/128, 0<ζ,ν≤2ϵa0<\zeta,\nu\le2\epsilon a0<ζ,ν≤2ϵa, ζ≤aP\zeta\le a^Pζ≤aP, P>6D+2P>6D+2P>6D+2. For q>2q>2q>2, D≥0D\ge0D≥0 and universal C≥32C\ge32C≥32, write v(t)=∂ρΦs+txh(Z)v(t)=\partial_\rho\Phi_{s+t}x_h(Z)v(t)=∂ρ​Φs+t​xh​(Z) and L(t)=max⁡i∣∂ρNi/Ni∣L(t)=\max_i|\partial_\rho N_i/N_i|L(t)=maxi​∣∂ρ​Ni​/Ni​∣. For E=∑iNi2+N1(N2+N3)E=\sum_i N_i^2+N_1(N_2+N_3)E=∑i​Ni2​+N1​(N2​+N3​) let Jj=∫0StjE dtJ_j=\int_0^S t^j E\,dtJj​=∫0S​tjEdt. One has a≤1/256a\le1/256a≤1/256, S≥0S\ge0S≥0, L(0)≤2+4Cq∣log⁡a∣L(0)\le2+4Cq|\log a|L(0)≤2+4Cq∣loga∣, J0≤4aJ_0\le4aJ0​≤4a, J1≤1/256+(2+D)aJ_1\le1/256+(2+D)aJ1​≤1/256+(2+D)a, 9J0≤log⁡29J_0\le\log29J0​≤log2, 2J0+16J1≤1/22J_0+16J_1\le1/22J0​+16J1​≤1/2, L(0)J0≤1/16L(0)J_0\le1/16L(0)J0​≤1/16. At every t∈[0,S]t\in[0,S]t∈[0,S] the stated derivative exists, the walls are positive, ∣v1(t)∣≤5|v_1(t)|\le5∣v1​(t)∣≤5 and L(t)≤2L(0)+20tL(t)\le2L(0)+20tL(t)≤2L(0)+20t.

Preamble
import Definitions.Def_BianchiIX_Algebra_Flow
import Definitions.Def_BianchiIX_Dynamics_Normalized
import Definitions.Def_BianchiIX_Algebra_Coordinates
import Definitions.Def_BianchiIX_SectionRestartData
import Definitions.Def_BianchiIX_Dynamics_WallEvolution
import Definitions.Def_BianchiIX_Dynamics_ProjectiveState
import Definitions.Def_BianchiIX_Dynamics_MaximalFlow
import Definitions.Def_BianchiIX_Dynamics_Linearization
import Definitions.Def_BianchiIX_Dynamics_FlowRegularity
import Definitions.Def_BianchiIX_Dynamics_FlowDifferential
import Definitions.Def_BianchiIX_Dynamics_FlowTransport
import Definitions.Def_BianchiIX_ShearTransportData
import Definitions.Def_BianchiIX_RadialTransportData
import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Positivity
import Mathlib.Tactic.Ring
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity
import Mathlib.Analysis.Calculus.ContDiff.Operations
import Mathlib.Analysis.Calculus.MeanValue
import Mathlib.Analysis.Calculus.Deriv.Prod
import Mathlib.Analysis.Normed.Module.FiniteDimension
import Mathlib.Topology.Order.Compact
import Mathlib.Tactic.NormNum
import Mathlib.Analysis.Calculus.Deriv.Pow
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Analysis.Calculus.Deriv.Add
import Mathlib.Analysis.Real.Sqrt
import Mathlib.Data.Fin.VecNotation
import Mathlib.Tactic.FinCases
import Mathlib.Tactic.FunProp
import Mathlib.Analysis.SpecialFunctions.Sqrt
import Mathlib.Analysis.Calculus.Deriv.Inv
import Mathlib.Tactic.FieldSimp
import Mathlib.Analysis.SpecialFunctions.Log.Deriv
import Mathlib.Analysis.SpecialFunctions.ExpDeriv
import Mathlib.Analysis.Calculus.ContDiff.Comp
import Mathlib.Analysis.Calculus.Deriv.Comp
import Mathlib.Analysis.SpecialFunctions.Pow.Deriv
import Mathlib.Analysis.SpecialFunctions.Integrals.Basic
import Mathlib.Analysis.ODE.ExistUnique
import Mathlib.Analysis.SpecialFunctions.Arsinh
import Mathlib.Tactic.LinearCombination
import Mathlib.Analysis.SpecialFunctions.Arcosh
import Mathlib.MeasureTheory.Integral.IntervalIntegral.FundThmCalculus
import Mathlib.Analysis.Calculus.InverseFunctionTheorem.Deriv
import Mathlib.Analysis.Calculus.Deriv.MeanValue
import Mathlib.Analysis.Calculus.FDeriv.Partial
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.Analysis.ODE.Gronwall
import Mathlib.Topology.Order.IntermediateValue
import Mathlib.Analysis.Calculus.FDeriv.Symmetric
import Mathlib.Analysis.Calculus.ContDiff.Deriv
import Mathlib.Tactic.GCongr
import Mathlib.Analysis.Calculus.Deriv.Pi
import Mathlib.Analysis.Calculus.ParametricIntervalIntegral
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.MeasureTheory.Integral.IntervalIntegral.DistLEIntegral
import Mathlib.Topology.Order.ProjIcc

noncomputable section
open BianchiIX
open Set MeasureTheory

Formal statement
theorem BianchiIX.exists_restartShearTail_radial_control :
    ∃ C ≥ (32 : ℝ), ∃ hstar > (0 : ℝ), ∀ h ∈ Ioc (0 : ℝ) hstar,
      ∀ q D P : ℝ, 2 < q → 0 ≤ D → 6 * D + 2 < P →
        ∃ astar > (0 : ℝ), ∀ a ∈ Ioc (0 : ℝ) astar,
          ∀ ε ζ ν : ℝ, (0 ≤ ε ∧ ε ≤ 1 / 128) →
            (0 < ζ ∧ ζ ≤ a ^ P ∧ ζ ≤ 2 * ε * a) →
            (0 < ν ∧ ν ≤ 2 * ε * a) → ∀ ρ ∈ Icc a (2 * a),
            let T := shearTailTime a D
            let α := fun t => restartShearTailFlow h a q ζ ν t ρ
            let v := fun t => restartShearTailRadialVariation h a q ζ ν t ρ
            let L₀ := shearTailLogSize (α 0) (v 0)
            let J₀ := ∫ t in 0..T, shearTailEnergy (α t)
            let J₁ := ∫ t in 0..T, t * shearTailEnergy (α t)
            a ≤ 1 / 256 ∧ 0 ≤ T ∧ L₀ ≤ 2 + 4 * C * q * |Real.log a| ∧
            J₀ ≤ 4 * a ∧ J₁ ≤ 1 / 256 + (2 + D) * a ∧
            9 * J₀ ≤ Real.log 2 ∧ 2 * J₀ + 16 * J₁ ≤ 1 / 2 ∧ L₀ * J₀ ≤ 1 / 16 ∧
            ∀ t ∈ Icc (0 : ℝ) T,
              HasDerivAt (restartShearTailFlow h a q ζ ν t) (v t) ρ ∧ positiveWalls (α t) ∧
              |v t 1| ≤ 5 ∧ shearTailLogSize (α t) (v t) ≤ 2 * L₀ + 20 * t ∧
              shearTailLogSize (α t) (v t) ≤ 4 + 8 * C * q * |Real.log a| + 20 * t := by sorry
Source
https://github.com/l46430640-del/ERA-STATISTICS-FORMAL/blob/d74c241819f896ab8d050b21ace80c8e90eabd9e/BianchiIX/Dynamics/ShearRestartTailRadial.lean#L12-L116

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