The actual first-return map near a reference pulse and its explicit derivative

Proved

BianchiIX.exists_referenceCore_firstReturn

by trppppp · Nov 4, 2026 · Mathlib 0df444a (Lean v4.33.1)

bianchi-ix-era-statisticsdynamical-systems

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

K=a^2+b^2+c^2-2(ab+bc+ca),\qquad S=p^2+s^2,\qquad C=S+K.

The shear components and wall rates are

P=Kp-2a^2+b^2+c^2+ab-2bc+ac,

Q=Ks+\sqrt{3}(-b^2+c^2+ab-ac),

r_1=-S+2p,\qquad r_2=-S-p+\sqrt{3}s,\qquad r_3=-S-p-\sqrt{3}s.

These functions define the normalized vacuum Bianchi IX vector field $(P,Q,r_1a,r_2b,r_3c)$ . For $y=(m,u,v,w)\in\mathbb R^4$ , define

K(u,v,w)=u^2+v^2+w^2-2(uv+vw+wu),\qquad \kappa=u(v+w-u),

F_m=-v^2+w^2+u(v-w)-m\kappa,\qquad F_u=\tfrac12(1-m^2-(v-w)^2+u^2)u,

F_v=(m-1-\kappa)v,\qquad F_w=(-m-1-\kappa)w,\qquad F=(F_m,F_u,F_v,F_w),

and $E(m,v)=(m-1)^2+v^2$ .

For $x=(p,s,a,b,c)$ , put

\psi(p,z)=\frac{\sqrt3\,z}{1+p},\qquad \Pi(x)=(\psi(p,s),\psi(p,a),\psi(p,b),\psi(p,c)).

For $y=(m,u,v,w)$ , set $D(y)=3+m^2+K(u,v,w)$ and

\Xi_A(y)=\left(A-1,\frac{Am}{\sqrt3},\frac{Au}{\sqrt3}, \frac{Av}{\sqrt3},\frac{Aw}{\sqrt3}\right),\qquad \Xi(y)=\Xi_{6/D(y)}(y).

Write $N(x)=(P,Q,r_1a,r_2b,r_3c)$ for the normalized vector field and $\mathcal C(x)=C(p,s,a,b,c)$ for its constraint.

The normalized and projective state spaces are $\mathbb R^5$ and $\mathbb R^4$ with their finite-product norms. The maps $\Pi,\Xi,D,F$ act on these state spaces.

For real $k,t$ , define the boundary pulse

\beta_k(t)=(m_k(t),0,v_k(t),0) =\left(1-k\tanh(kt),0,\frac{k}{\cosh(kt)},0\right).

Set

h_k=\frac{\operatorname{arcosh}k}{k},\qquad T_k=\frac{(k^2+4)\operatorname{arcosh}k}{3k},\qquad d_k=\sqrt{k^2-1},

H_k(t)=\frac{k^2+4}{6}t-\frac13\log\cosh(kt).

Use the total real conventions $x/0=0$ , $\sqrt{x}=\sqrt{\max(x,0)}$ , $\log0=0$ , and $\log x=\log|x|$ for $x<0$ , with $\operatorname{arcosh}x=\log(x+\sqrt{x^2-1})$ . Write $\alpha_{x,0}$ for the maximal normalized solution starting at $x$ at time zero, with domain $I_{\max}(x,0)$ .

The positive transverse modes and crossing multipliers are

M_{k,r}(t)=e^{-rt}\cosh(kt),\qquad \mu_u(k)=e^{-k\operatorname{arcosh}k},\qquad \mu_w(k)=e^{-4\operatorname{arcosh}k/k}.

Define the variational velocity with tangent forcing by

V_k(t,\xi,a)=dF_{\beta_k(t)}\xi+aF(\beta_k(t)).

For $\xi=(\xi_m,\xi_u,\xi_v,\xi_w)$ , set

J_k(t,\xi)=2(m_k(t)-1)\xi_m+2v_k(t)\xi_v-4v_k(t)\xi_u,

P_k\xi=(\xi_m-\xi_v/d_k,\xi_u,0,\xi_w).

Write $G(y)=6F(y)/D(y)$ for the projective vector field in normalized time.

Write $X=\mathbb R^5$ , $Y=\mathbb R^4$ , and let $\alpha_{x,t_0}$ be the maximal solution of $\alpha'=N(\alpha)$ with initial value $x$ at $t_0$ and domain $I_{\max}(x,t_0)$ . Put

J_{x,t_0}(t)=d_x\alpha_{x,t_0}(t),\qquad \Psi_{t_0}(y,t)=\Pi(\alpha_{\Xi(y),t_0}(t)),

\mathcal J_{y,t_0}(t)=d\Pi_{\alpha_{\Xi(y),t_0}(t)} \circ J_{\Xi(y),t_0}(t)\circ d\Xi_y.

Define $x_k^-=\Xi(\beta_k(-h_k))$ , $x_k^+=\Xi(\beta_k(h_k))$ , and the active-wall observable $g(x)=(\Pi(x))_2$ , with zero-based indices. For $x_*=\alpha_{x,t_0}(t)$ , set

\rho_{x,t_0,t}=dg_{x_*}(N(x_*)),\qquad \mathscr L_{x,t_0,t}=-\rho_{x,t_0,t}^{-1}dg_{x_*}\circ J_{x,t_0}(t),

\mathscr H_{x,t_0,t}(v)=J_{x,t_0}(t)v+ \mathscr L_{x,t_0,t}(v)N(x_*).

Here $0^{-1}=0$ in the total definitions.

Define the clock based at entry and the actual projective variation by

c_k(t)=H_k(t)-H_k(-h_k),\qquad W_k(w,t)=\mathcal J_{\beta_k(-h_k),0}(c_k(t))w.

Let $Z=\mathbb R^3$ with its finite-product norm and define

e(z_0,z_1,z_2)=(z_0,z_1,1,z_2),\qquad q(m,u,v,w)=(m,u,w),\qquad \chi=\Xi\circ e,

z_k^-=(1+d_k,0,0),\qquad z_k^+=(1-d_k,0,0).

For $k>1$ , let

A_k(v_0,v_1,v_2)= \left(-v_0+\frac2{d_k}(1-\mu_u(k))v_1,\mu_u(k)v_1,\mu_w(k)v_2\right).

For every $k>1$ there exist $\tau:Z\to\mathbb R$ and $P:Z\to Z$ , both $C^1$ at $z_k^-$ , with

\tau(z_k^-)=T_k,\qquad P(z_k^-)=z_k^+,\qquad dP_{z_k^-}=A_k.

For all $z$ sufficiently near $z_k^-$ , the time $\tau(z)$ is the least element of

\{t>0:t\in I_{\max}(\chi(z),0),\ g(\alpha_{\chi(z),0}(t))=1\}.

For every $t\in[0,\tau(z)]$ , the flow is defined and $1+(\alpha_{\chi(z),0}(t))_0>0$ . For $0<t<\tau(z)$ its active wall is strictly greater than one. At the return,

\rho_{\chi(z),0,\tau(z)}<0,\qquad \Pi(\alpha_{\chi(z),0}(\tau(z)))=e(P(z)).

Preamble

import Definitions.Def_BianchiIX_Dynamics_Normalized
import Definitions.Def_BianchiIX_Dynamics_ProjectiveState
import Definitions.Def_BianchiIX_Dynamics_ReferencePulse
import Definitions.Def_BianchiIX_Dynamics_ProjectiveRegularity
import Definitions.Def_BianchiIX_Dynamics_MaximalFlow
import Definitions.Def_BianchiIX_Dynamics_ReferenceReturn
import Definitions.Def_BianchiIX_Dynamics_Events
import Definitions.Def_BianchiIX_Dynamics_ReferenceSectionMap
import Mathlib.Topology.Order.IntermediateValue
import Mathlib.Topology.Order.Compact
import Mathlib.Topology.Instances.Real.Lemmas
import Mathlib.Tactic.Linarith
import Mathlib.Analysis.Calculus.FDeriv.Symmetric
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Tactic.NormNum
import Mathlib.Analysis.Calculus.Deriv.Pow
import Mathlib.Analysis.Calculus.Deriv.Add
import Mathlib.Analysis.Real.Sqrt
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.Calculus.Deriv.Inv
import Mathlib.Tactic.FieldSimp
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.SpecialFunctions.Pow.Deriv
import Mathlib.Analysis.SpecialFunctions.Integrals.Basic
import Mathlib.Analysis.ODE.ExistUnique
import Mathlib.Analysis.Calculus.FDeriv.Partial
import Mathlib.Analysis.Calculus.ImplicitContDiff

noncomputable section
open BianchiIX
open Set Filter
open scoped Topology

Formal statement

theorem BianchiIX.exists_referenceCore_firstReturn {k : ℝ} (hk : 1 < k) :
    ∃ (tau : CoreCoordinates → ℝ) (P : CoreCoordinates → CoreCoordinates),
      tau (referenceCoreInput k) = referenceNormalizedTime k ∧
      P (referenceCoreInput k) = referenceCoreOutput k ∧
      ContDiffAt ℝ 1 tau (referenceCoreInput k) ∧ ContDiffAt ℝ 1 P (referenceCoreInput k) ∧
      (∀ᶠ z in 𝓝 (referenceCoreInput k),
        IsLeast {t : ℝ | 0 < t ∧ t ∈ normalizedMaxDomain (coreSectionChart z) 0 ∧
          projectiveActiveWall (normalizedMaxCurve (coreSectionChart z) 0 t) = 1} (tau z) ∧
        (∀ t ∈ Icc 0 (tau z), t ∈ normalizedMaxDomain (coreSectionChart z) 0 ∧
          0 < 1 + normalizedMaxCurve (coreSectionChart z) 0 t 0) ∧
        (∀ t ∈ Ioo 0 (tau z), 1 < projectiveActiveWall (normalizedMaxCurve (coreSectionChart z) 0 t)) ∧
        normalizedEventRate projectiveActiveWall (coreSectionChart z) 0 (tau z) < 0 ∧
        toProjectiveState (normalizedMaxCurve (coreSectionChart z) 0 (tau z)) = coreSectionEmbedding (P z)) ∧
      (∀ v : CoreCoordinates, fderiv ℝ P (referenceCoreInput k) v =
        ![-v 0 + (2 / Real.sqrt (k ^ 2 - 1)) * (1 - Real.exp (-k * Real.arcosh k)) * v 1,
          Real.exp (-k * Real.arcosh k) * v 1, Real.exp (-4 * Real.arcosh k / k) * v 2]) := by sorry

Source

https://github.com/l46430640-del/ERA-STATISTICS-FORMAL/blob/d74c241819f896ab8d050b21ace80c8e90eabd9e/BianchiIX/Dynamics/ReferenceFirstReturn.lean#L205-L256

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