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A continuously differentiable local family for a finite-dimensional ODE

Proved
BianchiIX.exists_ode_local_contDiff_one

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

bianchi-ix-era-statisticsdynamical-systems

Let EEE be a finite-dimensional real normed space and f:E→Ef:E\to Ef:E→E be of class C2C^2C2. For every x0∈Ex_0\in Ex0​∈E and t0∈Rt_0\in\mathbb Rt0​∈R there exist r,ε>0r,\varepsilon>0r,ε>0 and α:E×R→E\alpha:E\times\mathbb R\to Eα:E×R→E such that α\alphaα is C1C^1C1 on B(x0,r)×(t0−ε,t0+ε)B(x_0,r)\times(t_0-\varepsilon,t_0+\varepsilon)B(x0​,r)×(t0​−ε,t0​+ε). For every x∈B(x0,r)x\in B(x_0,r)x∈B(x0​,r),

α(x,t0)=x,∂tα(x,t)=f(α(x,t))(∣t−t0∣<ε).\alpha(x,t_0)=x,\qquad \partial_t\alpha(x,t)=f(\alpha(x,t))\quad(|t-t_0|<\varepsilon).α(x,t0​)=x,∂t​α(x,t)=f(α(x,t))(∣t−t0​∣<ε).
Preamble
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

namespace BianchiIX
end BianchiIX

noncomputable section
open BianchiIX
open Set Filter Metric Asymptotics
open scoped Topology NNReal
variable {E : Type*} [NormedAddCommGroup E] [NormedSpace ℝ E]
  [FiniteDimensional ℝ E]

Formal statement
theorem BianchiIX.exists_ode_local_contDiff_one {f : E → E} (hf : ContDiff ℝ 2 f) (x₀ : E) (t₀ : ℝ) :
    ∃ r > (0 : ℝ), ∃ ε > (0 : ℝ), ∃ α : E × ℝ → E,
      ContDiffOn ℝ 1 α (ball x₀ r ×ˢ Ioo (t₀ - ε) (t₀ + ε)) ∧
      ∀ x ∈ ball x₀ r, α (x, t₀) = x ∧
        ∀ t ∈ Ioo (t₀ - ε) (t₀ + ε), HasDerivAt (fun u => α (x, u)) (f (α (x, t))) t := by sorry
Source
https://github.com/l46430640-del/ERA-STATISTICS-FORMAL/blob/d74c241819f896ab8d050b21ace80c8e90eabd9e/BianchiIX/Analysis/ODELocalFlow.lean#L102-L155

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