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One invariant Borel exception for all transverse charts

Proved
BianchiIX.exists_primaryAxis_saturated_null_exception

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

bianchi-ix-era-statisticsdynamical-systems

For real variables p,s,a,b,cp,s,a,b,cp,s,a,b,c, set

K=a2+b2+c2−2(ab+bc+ca),S=p2+s2,C=S+K.K=a^2+b^2+c^2-2(ab+bc+ca),\qquad S=p^2+s^2,\qquad C=S+K.K=a2+b2+c2−2(ab+bc+ca),S=p2+s2,C=S+K.

The shear components and wall rates are

P=Kp−2a2+b2+c2+ab−2bc+ac,P=Kp-2a^2+b^2+c^2+ab-2bc+ac,P=Kp−2a2+b2+c2+ab−2bc+ac, Q=Ks+3(−b2+c2+ab−ac),Q=Ks+\sqrt{3}(-b^2+c^2+ab-ac),Q=Ks+3​(−b2+c2+ab−ac), r1=−S+2p,r2=−S−p+3s,r3=−S−p−3s.r_1=-S+2p,\qquad r_2=-S-p+\sqrt{3}s,\qquad r_3=-S-p-\sqrt{3}s.r1​=−S+2p,r2​=−S−p+3​s,r3​=−S−p−3​s.

These functions define the normalized vacuum Bianchi IX vector field (P,Q,r1a,r2b,r3c)(P,Q,r_1a,r_2b,r_3c)(P,Q,r1​a,r2​b,r3​c).

Let X=R5X=\mathbb R^5X=R5 with coordinates x=(p,s,a,b,c)x=(p,s,a,b,c)x=(p,s,a,b,c) and the sup norm. Write

F(x)=(P,Q,r1a,r2b,r3c),C(x)=C(p,s,a,b,c),F(x)=(P,Q,r_1a,r_2b,r_3c),\qquad \mathcal C(x)=C(p,s,a,b,c),F(x)=(P,Q,r1​a,r2​b,r3​c),C(x)=C(p,s,a,b,c),

and let W={(p,s,a,b,c)∈X:a>0, b>0, c>0}W=\{(p,s,a,b,c)\in X:a>0,\ b>0,\ c>0\}W={(p,s,a,b,c)∈X:a>0, b>0, c>0}.

Write N1(x)=aN_1(x)=aN1​(x)=a, N2(x)=bN_2(x)=bN2​(x)=b, and N3(x)=cN_3(x)=cN3​(x)=c. For initial data (x0,t0)(x_0,t_0)(x0​,t0​), let Imax⁡(x0,t0)I_{\max}(x_0,t_0)Imax​(x0​,t0​) be the union of all open convex domains of solutions with these initial data, and let αx0,t0\alpha_{x_0,t_0}αx0​,t0​​ be their compatible curve. A solution SSS has such a domain ISI_SIS​, a curve αS\alpha_SαS​, and αS(t0)=x0\alpha_S(t_0)=x_0αS​(t0​)=x0​.

Let L(X,X)\mathcal L(X,X)L(X,X) be the continuous linear operators on XXX and set

A(x)=dFx,F~(x,J)=(F(x),A(x)∘J).A(x)=dF_x,\qquad \widetilde F(x,J)=(F(x),A(x)\circ J).A(x)=dFx​,F(x,J)=(F(x),A(x)∘J).

For a fixed initial time t0t_0t0​, put

Dt0={(x,t):t∈Imax⁡(x,t0)},Φt0(x,t)=αx,t0(t),Jx,t0(t)=dxΦt0(x,t).\mathcal D_{t_0}=\{(x,t):t\in I_{\max}(x,t_0)\},\qquad \Phi_{t_0}(x,t)=\alpha_{x,t_0}(t),\qquad J_{x,t_0}(t)=d_x\Phi_{t_0}(x,t).Dt0​​={(x,t):t∈Imax​(x,t0​)},Φt0​​(x,t)=αx,t0​​(t),Jx,t0​​(t)=dx​Φt0​​(x,t).

Write λx=dCx:X→R\lambda_x=d\mathcal C_x:X\to\mathbb Rλx​=dCx​:X→R for the constraint differential.

For x=(p,s,a,b,c)x=(p,s,a,b,c)x=(p,s,a,b,c), define

H(x)=(abc)2/3,w(x)=abc(1+4H(x)),δ(x)=2K−3S,δˉ(x)=2(K+4H(x))1+4H(x),H(x)=(abc)^{2/3},\quad w(x)=abc(1+4H(x)),\quad \delta(x)=2K-3S,\quad \bar\delta(x)=\frac{2(K+4H(x))}{1+4H(x)},H(x)=(abc)2/3,w(x)=abc(1+4H(x)),δ(x)=2K−3S,δˉ(x)=1+4H(x)2(K+4H(x))​, V(x,t0,t)=w(x)det⁡Jx,t0(t)w(αx,t0(t)).V(x,t_0,t)=\frac{w(x)\det J_{x,t_0}(t)}{w(\alpha_{x,t_0}(t))}.V(x,t0​,t)=w(αx,t0​​(t))w(x)detJx,t0​​(t)​.

Write [L][L][L] for the matrix of a continuous linear operator L:X→XL:X\to XL:X→X in the standard basis. Set Ω(v0,…,v4)=det⁡(v0,…,v4)\Omega(v_0,\ldots,v_4)=\det(v_0,\ldots,v_4)Ω(v0​,…,v4​)=det(v0​,…,v4​),

ωx(v0,…,v3)=Ω(x/2,v0,…,v3)w(x),φx(v0,v1,v2)=ωx(F(x),v0,v1,v2).\omega_x(v_0,\ldots,v_3)=\frac{\Omega(x/2,v_0,\ldots,v_3)}{w(x)},\qquad \varphi_x(v_0,v_1,v_2)=\omega_x(F(x),v_0,v_1,v_2).ωx​(v0​,…,v3​)=w(x)Ω(x/2,v0​,…,v3​)​,φx​(v0​,v1​,v2​)=ωx​(F(x),v0​,v1​,v2​).

A normalized symmetry is a continuous linear equivalence L:X→XL:X\to XL:X→X satisfying

C(Lx)=C(x),Lx∈W ⟺ x∈W,F(Lx)=LF(x),w(Lx)=w(x),det⁡L=1.\mathcal C(Lx)=\mathcal C(x),\quad Lx\in W\ \Longleftrightarrow\ x\in W, \quad F(Lx)=LF(x),\quad w(Lx)=w(x),\quad\det L=1.C(Lx)=C(x),Lx∈W ⟺ x∈W,F(Lx)=LF(x),w(Lx)=w(x),detL=1.

These symmetries include the identity, composition, inverse, and the two maps

R(p,s,a,b,c)=((−p+3s)/2,(−3p−s)/2,b,c,a),S0(p,s,a,b,c)=(p,−s,a,c,b).R(p,s,a,b,c)=((-p+\sqrt3s)/2,(-\sqrt3p-s)/2,b,c,a),\qquad S_0(p,s,a,b,c)=(p,-s,a,c,b).R(p,s,a,b,c)=((−p+3​s)/2,(−3​p−s)/2,b,c,a),S0​(p,s,a,b,c)=(p,−s,a,c,b).

Transforming a solution replaces its curve α\alphaα by LαL\alphaLα and keeps its time domain.

Write Φts(x)=αx,s(t)\Phi^s_t(x)=\alpha_{x,s}(t)Φts​(x)=αx,s​(t), with domain I(x,s)I(x,s)I(x,s), and X={x:C(x)=1, Ni(x)>0 (i=1,2,3)}\mathcal X=\{x:\mathcal C(x)=1,\ N_i(x)>0\ (i=1,2,3)\}X={x:C(x)=1, Ni​(x)>0 (i=1,2,3)}. For y=(v,l,r)∈R3y=(v,l,r)\in\mathbb R^3y=(v,l,r)∈R3 and a wall height hhh, put

b=e−l,c=e−r,d=1−v2−K(h,b,c),Uh={y:d>0},ch(y)=(−d,v,h,b,c).b=e^{-l},\quad c=e^{-r},\quad d=1-v^2-K(h,b,c),\quad U_h=\{y:d>0\},\quad c_h(y)=(-\sqrt d,v,h,b,c).b=e−l,c=e−r,d=1−v2−K(h,b,c),Uh​={y:d>0},ch​(y)=(−d​,v,h,b,c).

For a normalized axis symmetry AAA, the chart is cA,h=A−1chc_{A,h}=A^{-1}c_hcA,h​=A−1ch​, with coordinates πA(x)=((Ax)1,−log⁡(Ax)3,−log⁡(Ax)4)\pi_A(x)=((Ax)_1,-\log (Ax)_3,-\log (Ax)_4)πA​(x)=((Ax)1​,−log(Ax)3​,−log(Ax)4​). At p=−dp=-\sqrt dp=−d​ its flux density and measure are

ρh(y)=p2+v2−2p2∣p∣(1+4(hbc)2/3),dμh=1Uhρh+ dy.\rho_h(y)=\frac{p^2+v^2-2p}{2|p|(1+4(hbc)^{2/3})}, \qquad d\mu_h={\bf1}_{U_h}\rho_h^+\,dy.ρh​(y)=2∣p∣(1+4(hbc)2/3)p2+v2−2p​,dμh​=1Uh​​ρh+​dy.

Write φ\varphiφ for the signed section flux and δˉ\bar\deltaδˉ for the corrected divergence. The three primary frames interchange axis zero with the chosen dominant axis.

For target frames BiB_iBi​, heights kik_iki​, and coordinate sets EiE_iEi​ put c(i,y)=cBi,ki(y)c(i,y)=c_{B_i,k_i}(y)c(i,y)=cBi​,ki​​(y), E⊔={(i,y):y∈Ei}E^\sqcup=\{(i,y):y\in E_i\}E⊔={(i,y):y∈Ei​} and νk=∑i(y↦(i,y))∗μki\nu_k=\sum_i(y\mapsto(i,y))_*\mu_{k_i}νk​=∑i​(y↦(i,y))∗​μki​​. A hit from z=(i,y)z=(i,y)z=(i,y) at time ttt starts with y∈Ukiy\in U_{k_i}y∈Uki​​ at t0t_0t0​, exists in the maximal domain, and reaches a target frame with its first wall at the prescribed height, negative first shear, and coordinates in the corresponding target set. Write H(z)H(z)H(z) for these times t>t0t>t_0t>t0​, and DE={z∈E⊔:H(z)≠∅}D_E=\{z\in E^\sqcup:H(z)\ne\varnothing\}DE​={z∈E⊔:H(z)=∅}. A wall arrival atlas from (A,h)(A,h)(A,h) gives countably many injective C1C^1C1 branches covering each crossing time in each target chart. For a branch q=(i,n)q=(i,n)q=(i,n) with map RqR_qRq​ and time τq\tau_qτq​, put

jq(y)=ρki(Rqy)∣det⁡DRq(y)∣/ρh(y).j_q(y)=\rho_{k_i}(R_qy)|\det DR_q(y)|/\rho_h(y).jq​(y)=ρki​​(Rq​y)∣detDRq​(y)∣/ρh​(y).

Given a time set III, an eligible point lies on the branch, has time in III and target in EiE_iEi​. Its delay is (τq−t0)+(\tau_q-t_0)^+(τq​−t0​)+ there and +∞+\infty+∞ otherwise. The first piece LqL_qLq​ consists of eligible points attaining the infimum of all delays with the least branch encoding.

Use the three primary frames at a common height h>0h>0h>0. Suppose EiE_iEi​ are measurable subsets of UhU_hUh​ and PPP is a predicate with P(z)P(z)P(z) for νh\nu_hνh​-almost every zzz in E⊔E^\sqcupE⊔. There exists a Borel set N⊂XN\subset\mathcal XN⊂X, invariant in both directions at every existing time, such that z∈E⊔z\in E^\sqcupz∈E⊔ and c(z)∉Nc(z)\notin Nc(z)∈/N imply P(z)P(z)P(z). For any open U⊂R3U\subset\mathbb R^3U⊂R3 and any chart CCC that is C1C^1C1 on UUU with image in X\mathcal XX and nonzero flux on its coordinate tangents throughout UUU, one has

λ3(U∩C−1N)=0.\lambda_3(U\cap C^{-1}N)=0.λ3​(U∩C−1N)=0.

Moreover λ4(Q(N))=0\lambda_4(Q(N))=0λ4​(Q(N))=0 for every differentiable Q:R5→R4Q:\mathbb R^5\to\mathbb R^4Q:R5→R4.

Preamble
import Definitions.Def_BianchiIX_Algebra_Flow
import Definitions.Def_BianchiIX_Dynamics_Normalized
import Definitions.Def_BianchiIX_Algebra_Flux
import Definitions.Def_BianchiIX_AxisAndOrbitData
import Definitions.Def_BianchiIX_AxisSectionMeasureData
import Definitions.Def_BianchiIX_Dynamics_MaximalFlow
import Definitions.Def_BianchiIX_Dynamics_FlowComposition
import Definitions.Def_BianchiIX_Dynamics_FlowRegularity
import Definitions.Def_BianchiIX_Dynamics_Events
import Definitions.Def_BianchiIX_Dynamics_SectionFlux
import Definitions.Def_BianchiIX_Dynamics_AxisSymmetry
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.Tactic.Linarith
import Mathlib.Tactic.Ring
import Mathlib.Analysis.Calculus.ContDiff.Operations
import Mathlib.Analysis.Calculus.Deriv.Prod
import Mathlib.Analysis.Calculus.MeanValue
import Mathlib.Data.Fin.VecNotation
import Mathlib.Tactic.FinCases
import Mathlib.Tactic.FunProp
import Mathlib.Analysis.SpecialFunctions.Pow.Deriv
import Mathlib.Tactic.FieldSimp
import Mathlib.Analysis.SpecialFunctions.Integrals.Basic
import Mathlib.Analysis.ODE.ExistUnique
import Mathlib.Analysis.Calculus.FDeriv.Partial
import Mathlib.Analysis.Normed.Module.FiniteDimension
import Mathlib.LinearAlgebra.Determinant
import Mathlib.Topology.Instances.Matrix
import Mathlib.LinearAlgebra.Matrix.Trace
import Mathlib.Analysis.Calculus.FDeriv.Analytic
import Mathlib.Topology.Algebra.Module.Determinant
import Mathlib.Analysis.Calculus.Deriv.Pi
import Mathlib.Data.Real.Basic
import Mathlib.Analysis.SpecialFunctions.Sqrt
import Mathlib.Analysis.SpecialFunctions.Log.Deriv
import Mathlib.LinearAlgebra.Alternating.Curry
import Mathlib.Analysis.Calculus.ImplicitContDiff
import Mathlib.Analysis.Calculus.InverseFunctionTheorem.ContDiff
import Mathlib.MeasureTheory.Function.Jacobian
import Mathlib.Topology.Compactness.Lindelof
import Mathlib.Topology.Order.IntermediateValue
import Mathlib.Analysis.Calculus.FDeriv.Symmetric
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.Module
import Mathlib.Analysis.SpecialFunctions.Arsinh
import Mathlib.Analysis.Calculus.Deriv.Inv
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.Data.Matrix.Mul
import Mathlib.Algebra.BigOperators.Fin
import Mathlib.Analysis.ODE.Gronwall
import Mathlib.Analysis.SpecialFunctions.Trigonometric.ArctanDeriv
import Mathlib.Analysis.SpecialFunctions.Trigonometric.DerivHyp
import Mathlib.Analysis.SpecialFunctions.Log.Basic
import Mathlib.Topology.Instances.Real.Lemmas
import Mathlib.MeasureTheory.Integral.IntervalIntegral.DistLEIntegral
import Mathlib.Tactic.GCongr
import Mathlib.Analysis.Calculus.Deriv.Slope
import Mathlib.Topology.Order.OrderClosed
import Mathlib.Analysis.InnerProductSpace.PiL2
import Mathlib.Topology.Order.Compact
import Mathlib.Analysis.Calculus.ParametricIntervalIntegral
import Mathlib.MeasureTheory.Integral.DominatedConvergence
import Mathlib.Tactic.Positivity
import Mathlib.MeasureTheory.Integral.IntervalIntegral.IntegrationByParts
import Mathlib.Topology.MetricSpace.Thickening
import Mathlib.Analysis.SpecialFunctions.ExpDeriv
import Mathlib.Topology.Order.ProjIcc
import Mathlib.Analysis.SpecificLimits.Basic
import Mathlib.Analysis.Normed.Operator.Basic
import Mathlib.LinearAlgebra.Matrix.Notation
import Mathlib.Analysis.Calculus.ContDiff.Deriv
import Mathlib.Analysis.SpecialFunctions.Pow.Continuity
import Mathlib.Topology.MetricSpace.Cauchy
import Mathlib.Analysis.Calculus.ContDiff.Comp
import Mathlib.Analysis.Calculus.Deriv.Comp
import Mathlib.Analysis.Calculus.UniformLimitsDeriv
import Mathlib.Analysis.SpecialFunctions.ImproperIntegrals
import Mathlib.Analysis.Calculus.ParametricIntegral
import Mathlib.MeasureTheory.Integral.Bochner.ContinuousLinearMap
import Mathlib.Analysis.SpecialFunctions.Pow.Real
import Mathlib.Analysis.Calculus.FDeriv.Comp
import Mathlib.Algebra.Order.Floor.Ring
import Mathlib.Analysis.Calculus.FDeriv.Mul
import Mathlib.LinearAlgebra.Matrix.ToLin
import Mathlib.Data.List.Induction
import Mathlib.Algebra.BigOperators.Ring.Finset
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.Algebra.Order.Floor.Semiring
import Mathlib.MeasureTheory.Constructions.BorelSpace.Metrizable
import Mathlib.MeasureTheory.Constructions.BorelSpace.Basic
import Mathlib.MeasureTheory.Function.Floor
import Mathlib.Dynamics.Ergodic.Ergodic
import Mathlib.Dynamics.BirkhoffSum.Average
import Mathlib.MeasureTheory.Integral.Bochner.Basic
import Mathlib.Data.PNat.Basic
import Mathlib.Data.Rat.Floor
import Mathlib.NumberTheory.Real.Irrational
import Mathlib.Order.OrderIsoNat
import Mathlib.MeasureTheory.Group.MeasurableEquiv
import Mathlib.MeasureTheory.Measure.Regular
import Mathlib.MeasureTheory.Function.JacobianOneDim
import Mathlib.MeasureTheory.Measure.WithDensity
import Mathlib.Dynamics.Ergodic.MeasurePreserving
import Mathlib.Analysis.Asymptotics.SpecificAsymptotics
import Mathlib.Topology.UniformSpace.HeineCantor
import Mathlib.Dynamics.BirkhoffSum.NormedSpace
import Mathlib.MeasureTheory.Integral.Bochner.Set
import Mathlib.Topology.Algebra.InfiniteSum.Order
import Mathlib.Analysis.Normed.Group.Tannery
import Mathlib.MeasureTheory.Function.LocallyIntegrable
import Mathlib.MeasureTheory.Constructions.Pi
import Mathlib.MeasureTheory.Measure.Prod
import Mathlib.Topology.Order.Basic
import Mathlib.Topology.ContinuousOn
import Mathlib.Tactic.ByContra
import Mathlib.Topology.Order.Lattice
import Mathlib.Topology.Compactness.Compact
import Mathlib.MeasureTheory.MeasurableSpace.Prod
import Mathlib.MeasureTheory.Integral.Lebesgue.Markov
import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics
import Mathlib.MeasureTheory.Constructions.Polish.Basic
import Mathlib.Analysis.SpecificLimits.Normed
import Mathlib.Data.Nat.Choose.Cast
import Mathlib.MeasureTheory.Measure.MeasureSpace
import Mathlib.Topology.Algebra.InfiniteSum.ENNReal
import Mathlib.Algebra.Order.Archimedean.Basic

noncomputable section
open BianchiIX
open Set Filter MeasureTheory
open scoped Topology

Formal statement
theorem BianchiIX.exists_primaryAxis_saturated_null_exception {h : ℝ} (hh : 0 < h)
    {E : Fin 3 → Set SectionCoordinates} {P : Fin 3 × SectionCoordinates → Prop}
    (hE : ∀ i, MeasurableSet (E i)) (hchart : ∀ i, E i ⊆ mainWallChartDomain h)
    (H : ∀ᵐ z ∂axisFamilyMeasure (fun _ : Fin 3 => h), z ∈ axisFamilySection E → P z) :
    ∃ N : Set NormalizedState, MeasurableSet N ∧
      (∀ x ∈ N, positiveWalls x ∧ stateConstraint x = 1) ∧
      (∀ x : NormalizedState, ∀ t ∈ normalizedMaxDomain x 0, normalizedMaxCurve x 0 t ∈ N ↔ x ∈ N) ∧
      (∀ (C : SectionCoordinates → NormalizedState) (U : Set SectionCoordinates),
        IsOpen U → (∀ y ∈ U, ContDiffAt ℝ 1 C y) →
        (∀ y ∈ U, positiveWalls (C y)) → (∀ y ∈ U, stateConstraint (C y) = 1) →
        (∀ y ∈ U, normalizedSectionFlux (C y) (fun i => fderiv ℝ C y (Pi.single i 1)) ≠ 0) →
        volume (U ∩ C ⁻¹' N) = 0) ∧ NullInFourCoordinates N ∧
      ∀ z ∈ axisFamilySection E, axisFamilyChart primaryAxisFrame (fun _ => h) z ∉ N → P z := by sorry
Source
https://github.com/l46430640-del/ERA-STATISTICS-FORMAL/blob/d74c241819f896ab8d050b21ace80c8e90eabd9e/BianchiIX/Measure/AxisSaturatedException.lean#L12-L60

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