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The exact flow variation at fixed relative logarithmic clock

Definition
BianchiIX_Dynamics_ConnectionFlowVariation

by trppppp · Nov 5, 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). For y=(m,u,v,w)∈R4y=(m,u,v,w)\in\mathbb R^4y=(m,u,v,w)∈R4, define

K(u,v,w)=u2+v2+w2−2(uv+vw+wu),κ=u(v+w−u),K(u,v,w)=u^2+v^2+w^2-2(uv+vw+wu),\qquad \kappa=u(v+w-u),K(u,v,w)=u2+v2+w2−2(uv+vw+wu),κ=u(v+w−u), Fm=−v2+w2+u(v−w)−mκ,Fu=12(1−m2−(v−w)2+u2)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,Fm​=−v2+w2+u(v−w)−mκ,Fu​=21​(1−m2−(v−w)2+u2)u, Fv=(m−1−κ)v,Fw=(−m−1−κ)w,F=(Fm,Fu,Fv,Fw),F_v=(m-1-\kappa)v,\qquad F_w=(-m-1-\kappa)w,\qquad F=(F_m,F_u,F_v,F_w),Fv​=(m−1−κ)v,Fw​=(−m−1−κ)w,F=(Fm​,Fu​,Fv​,Fw​),

and E(m,v)=(m−1)2+v2E(m,v)=(m-1)^2+v^2E(m,v)=(m−1)2+v2.

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

ψ(p,z)=3 z1+p,Π(x)=(ψ(p,s),ψ(p,a),ψ(p,b),ψ(p,c)).\psi(p,z)=\frac{\sqrt3\,z}{1+p},\qquad \Pi(x)=(\psi(p,s),\psi(p,a),\psi(p,b),\psi(p,c)).ψ(p,z)=1+p3​z​,Π(x)=(ψ(p,s),ψ(p,a),ψ(p,b),ψ(p,c)).

For y=(m,u,v,w)y=(m,u,v,w)y=(m,u,v,w), set D(y)=3+m2+K(u,v,w)D(y)=3+m^2+K(u,v,w)D(y)=3+m2+K(u,v,w) and

ΞA(y)=(A−1,Am3,Au3,Av3,Aw3),Ξ(y)=Ξ6/D(y)(y).\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).ΞA​(y)=(A−1,3​Am​,3​Au​,3​Av​,3​Aw​),Ξ(y)=Ξ6/D(y)​(y).

Write N(x)=(P,Q,r1a,r2b,r3c)N(x)=(P,Q,r_1a,r_2b,r_3c)N(x)=(P,Q,r1​a,r2​b,r3​c) for the normalized vector field and C(x)=C(p,s,a,b,c)\mathcal C(x)=C(p,s,a,b,c)C(x)=C(p,s,a,b,c) for its constraint.

The normalized and projective state spaces are R5\mathbb R^5R5 and R4\mathbb R^4R4 with their finite-product norms. The maps Π,Ξ,D,F\Pi,\Xi,D,FΠ,Ξ,D,F act on these state spaces.

The projective vector field in normalized time is

G(y)=6D(y)F(y).G(y)=\frac6{D(y)}F(y).G(y)=D(y)6​F(y).

Write X=R5X=\mathbb R^5X=R5, Y=R4Y=\mathbb R^4Y=R4, and let αx,t0\alpha_{x,t_0}αx,t0​​ be the maximal solution of α′=N(α)\alpha'=N(\alpha)α′=N(α) with initial value xxx at t0t_0t0​ and domain Imax⁡(x,t0)I_{\max}(x,t_0)Imax​(x,t0​). Put

Jx,t0(t)=dxαx,t0(t),Ψt0(y,t)=Π(αΞ(y),t0(t)),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)),Jx,t0​​(t)=dx​αx,t0​​(t),Ψt0​​(y,t)=Π(αΞ(y),t0​​(t)), Jy,t0(t)=dΠαΞ(y),t0(t)∘JΞ(y),t0(t)∘dΞy.\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.Jy,t0​​(t)=dΠαΞ(y),t0​​(t)​∘JΞ(y),t0​​(t)∘dΞy​.

Put c=u(v+w−u)c=u(v+w-u)c=u(v+w−u), s(m,u,v,w)=m−1−cs(m,u,v,w)=m-1-cs(m,u,v,w)=m−1−c, b(m,u,v,w)=(1−m2−(v−w)2+u2)/2b(m,u,v,w)=(1-m^2-(v-w)^2+u^2)/2b(m,u,v,w)=(1−m2−(v−w)2+u2)/2, D(m,u,v,w)=3+m2+K(u,v,w)D(m,u,v,w)=3+m^2+K(u,v,w)D(m,u,v,w)=3+m2+K(u,v,w), and r(m,v)=(m−1)2+v2r(m,v)=\sqrt{(m-1)^2+v^2}r(m,v)=(m−1)2+v2​.

Define

Cμ={(m,u,v,w):∣−m−μ∣≤1/2, 0≤u≤1/10000, 0≤v,w≤1},\mathcal C_\mu=\{(m,u,v,w):|-m-\mu|\leq1/2, \ 0\leq u\leq1/10000,\ 0\leq v,w\leq1\},Cμ​={(m,u,v,w):∣−m−μ∣≤1/2, 0≤u≤1/10000, 0≤v,w≤1}, ω−(y)=s(−ym,yu,yv,yw),H(y)=F(y)/ω−(y).\omega_-(y)=s(-y_m,y_u,y_v,y_w),\qquad H(y)=F(y)/\omega_-(y).ω−​(y)=s(−ym​,yu​,yv​,yw​),H(y)=F(y)/ω−​(y).

For a normalized trajectory write

β(t)=Π(αx,t0(t)),A(t)=1+(αx,t0(t))0,I=Imax⁡(x,t0).\beta(t)=\Pi(\alpha_{x,t_0}(t)),\quad A(t)=1+(\alpha_{x,t_0}(t))_0, \quad I=I_{\max}(x,t_0).β(t)=Π(αx,t0​​(t)),A(t)=1+(αx,t0​​(t))0​,I=Imax​(x,t0​).

For the positive reflected phase variable mmm, put

n(a,b)=a2+b2,j(a,b)=1n(a,b)(n(a,b)+a),n(a,b)=\sqrt{a^2+b^2},\quad j(a,b)=\frac1{n(a,b)(n(a,b)+a)},n(a,b)=a2+b2​,j(a,b)=n(a,b)(n(a,b)+a)1​, ϕ=n(m+1,v)+n(m−1,w)−m,h=m+1n(m+1,v)+m−1n(m−1,w)−1,\phi=n(m+1,v)+n(m-1,w)-m,\quad h=\frac{m+1}{n(m+1,v)}+\frac{m-1}{n(m-1,w)}-1,ϕ=n(m+1,v)+n(m−1,w)−m,h=n(m+1,v)m+1​+n(m−1,w)m−1​−1, Q=mh+v2n(m+1,v)+w2n(m−1,w),k=j(m+1,v)−j(m−1,w).Q=mh+\frac{v^2}{n(m+1,v)}+\frac{w^2}{n(m-1,w)},\quad k=j(m+1,v)-j(m-1,w).Q=mh+n(m+1,v)v2​+n(m−1,w)w2​,k=j(m+1,v)−j(m−1,w).

Write κ=u(v+w−u)\kappa=u(v+w-u)κ=u(v+w−u), s=m−1−κs=m-1-\kappas=m−1−κ, b=(1−m2−(v−w)2+u2)/2b=(1-m^2-(v-w)^2+u^2)/2b=(1−m2−(v−w)2+u2)/2, and

Mv=−v2n(m+1,v)h,Mw=−w2n(m−1,w)h.M_v=-\frac{v^2}{n(m+1,v)h},\qquad M_w=-\frac{w^2}{n(m-1,w)h}.Mv​=−n(m+1,v)hv2​,Mw​=−n(m−1,w)hw2​.

The four coordinate differential operators, in the order (ϕ,log⁡u,log⁡v,log⁡w)(\phi,\log u,\log v,\log w)(ϕ,logu,logv,logw), are

L0=h−1∂m,L1=u∂u,L2=Mv∂m+v∂v,L3=Mw∂m+w∂w.L_0=h^{-1}\partial_m,\quad L_1=u\partial_u,\quad L_2=M_v\partial_m+v\partial_v,\quad L_3=M_w\partial_m+w\partial_w.L0​=h−1∂m​,L1​=u∂u​,L2​=Mv​∂m​+v∂v​,L3​=Mw​∂m​+w∂w​.

Subscripts iii below denote the rational expressions obtained by these rules, with total real-field division. On the regular positive-wall region they are the corresponding coordinate partial derivatives. Set

N=h(v−w)+(v+w−u)Q,R=h(v−w)+(v+w−u)(Q−s),N=h(v-w)+(v+w-u)Q,\quad R=h(v-w)+(v+w-u)(Q-s),N=h(v−w)+(v+w−u)Q,R=h(v−w)+(v+w−u)(Q−s), A=−N/s,B=k/s,G=uA+(vw)2B,α=b/s,β=−1−2(1+κ)/s.A=-N/s,\quad B=k/s,\quad G=uA+(vw)^2B,\quad \alpha=b/s,\quad \beta=-1-2(1+\kappa)/s.A=−N/s,B=k/s,G=uA+(vw)2B,α=b/s,β=−1−2(1+κ)/s.

The coefficient matrix CCC has rows (Gi)i(G_i)_i(Gi​)i​, (αi)i(\alpha_i)_i(αi​)i​ and (βi)i(\beta_i)_i(βi​)i​.

For a projective state yyy, evaluate the reflected formulas at (m,u,v,w)=(−y0,y1,y2,y3)(m,u,v,w)=(-y_0,y_1,y_2,y_3)(m,u,v,w)=(−y0​,y1​,y2​,y3​). Define

χ(y)=(ϕ,log⁡y1,log⁡y2,log⁡y3),\chi(y)=(\phi,\log y_1,\log y_2,\log y_3),χ(y)=(ϕ,logy1​,logy2​,logy3​), Tyξ=(−hξ0+y2ξ2n(−y0+1,y2)+y3ξ3n(−y0−1,y3),ξ1y1,ξ2y2,ξ3y3).\mathcal T_y\xi=\left(-h\xi_0+ \frac{y_2\xi_2}{n(-y_0+1,y_2)}+ \frac{y_3\xi_3}{n(-y_0-1,y_3)}, \frac{\xi_1}{y_1},\frac{\xi_2}{y_2},\frac{\xi_3}{y_3}\right).Ty​ξ=(−hξ0​+n(−y0​+1,y2​)y2​ξ2​​+n(−y0​−1,y3​)y3​ξ3​​,y1​ξ1​​,y2​ξ2​​,y3​ξ3​​).

Let Ayd=(∑iC0idi,∑iC1idi,∑iC2idi,0)\mathcal A_y d=(\sum_i C_{0i}d_i,\sum_i C_{1i}d_i, \sum_i C_{2i}d_i,0)Ay​d=(∑i​C0i​di​,∑i​C1i​di​,∑i​C2i​di​,0) and Wμd=(d1,μ2d2)W_\mu d=(d_1,\mu^2d_2)Wμ​d=(d1​,μ2d2​), with the sup norm. The original-time clock rate is Ω(y)=6ω−(y)/D(y)\Omega(y)=6\omega_-(y)/D(y)Ω(y)=6ω−​(y)/D(y). For Y=Ψt0(y,t)Y=\Psi_{t_0}(y,t)Y=Ψt0​​(y,t) and ξ=dyΨt0(y,t)v\xi=d_y\Psi_{t_0}(y,t)vξ=dy​Ψt0​​(y,t)v, set

Py,t0,tv=ξ−(ξ3/Y3−v3/y3)H(Y),Dy,t0,tv=TY(Py,t0,tv).\mathcal P_{y,t_0,t}v=\xi-(\xi_3/Y_3-v_3/y_3)H(Y),\qquad \mathcal D_{y,t_0,t}v=\mathcal T_Y(\mathcal P_{y,t_0,t}v).Py,t0​,t​v=ξ−(ξ3​/Y3​−v3​/y3​)H(Y),Dy,t0​,t​v=TY​(Py,t0​,t​v).

Thus D\mathcal DD is the logarithmic variation at fixed relative growing-wall clock.

For any tangent ξ\xiξ and initial logarithmic variation ζ\zetaζ, the clock projection is ξ−(ξ3/y3−ζ)H(y)\xi-(\xi_3/y_3-\zeta)H(y)ξ−(ξ3​/y3​−ζ)H(y). The projected exact flow variation is Py,t0,t\mathcal P_{y,t_0,t}Py,t0​,t​.

Definition code
import Definitions.Def_BianchiIX_Dynamics_ProjectiveState
import Definitions.Def_BianchiIX_Dynamics_ProjectiveFlowVariation
import Definitions.Def_BianchiIX_Dynamics_ConnectionClock
import Mathlib.Analysis.Calculus.FDeriv.Symmetric
import Mathlib.Analysis.Calculus.Deriv.Mul
import Mathlib.Tactic.NormNum
import Mathlib.Analysis.Calculus.Deriv.Prod
import Mathlib.Tactic.Module
import Mathlib.Analysis.Calculus.Deriv.Pow
import Mathlib.Analysis.Calculus.Deriv.Add
import Mathlib.Analysis.Real.Sqrt
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
import Mathlib.Analysis.Calculus.Deriv.Inv
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.LinearCombination
import Mathlib.Analysis.SpecialFunctions.Arsinh
import Mathlib.Analysis.SpecialFunctions.Sqrt
import Mathlib.Analysis.Calculus.ContDiff.Operations
import Mathlib.Analysis.Calculus.MeanValue
import Mathlib.Data.Fin.VecNotation
import Mathlib.Tactic.FinCases
import Mathlib.Tactic.FunProp
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.SpecialFunctions.Log.Deriv

noncomputable section

namespace BianchiIX

open Set Filter
open scoped Topology

/-- Tangent at fixed log(W/W_entry); zeta is the initial logarithmic wall variation. -/
def connectionClockProjection (y v : ProjectiveState) (ζ : ℝ) : ProjectiveState :=
  v - (v 3 / y 3 - ζ) • connectionLogField y





def connectionProjectedFlowVariation (y : ProjectiveState) (t₀ t : ℝ) (w : ProjectiveState) :
    ProjectiveState := connectionClockProjection (projectiveOriginalFlow y t₀ t)
      (projectiveFlowDifferential y t₀ t w) (w 3 / y 3)







end BianchiIX
Source
https://github.com/l46430640-del/ERA-STATISTICS-FORMAL/blob/d74c241819f896ab8d050b21ace80c8e90eabd9e/BianchiIX/Dynamics/ConnectionFlowVariation.lean

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