openAI-math-dataset / lean /OAI /Analysis /Conductivity /Branching /BranchOutputNormalization.lean
roseking's picture
Add lean source and binary files (part 15)
a458723 verified
Raw History Blame Contribute Delete
6.3 kB
import Mathlib
import OAI.Analysis.Conductivity.Sobolev.CentralPairRegularity
import OAI.Analysis.Conductivity.Fourier.TorusSpectralContinuation
import OAI.Analysis.Conductivity.Branching.TorusEndingCorrection
namespace OAI
noncomputable section
namespace ScalarConductivity
open Set Filter Topology MeasureTheory Matrix UnitAddTorus
variable {E : Type*} [AddCommGroup E]
def branchNormalize (i : Fin 3) (u : Fin 2 → E) : Fin 2 → E :=
if i=0 then ![-u 0,u 1-u 0] else if i=1 then u else ![u 1,u 0]
lemma branchNormalize_involutive (i : Fin 3) : Function.Involutive (branchNormalize (E:=E) i) := by
intro u
ext j
fin_cases i <;> fin_cases j <;> simp [branchNormalize]
lemma branchNormalize_add (i : Fin 3) (u v : Fin 2 → E) :
branchNormalize i (u+v)=branchNormalize i u+branchNormalize i v := by
ext j
fin_cases i <;> fin_cases j <;> simp [branchNormalize] <;> abel
variable [Module ℝ E]
def branchNormalizeLinear (i : Fin 3) : (Fin 2 → E) →ₗ[ℝ] (Fin 2 → E) where
toFun := branchNormalize i
map_add' := branchNormalize_add i
map_smul' c u := by
ext j
fin_cases i <;> fin_cases j <;> simp [branchNormalize,smul_sub]
def branchNormalizeEquiv (i : Fin 3) : (Fin 2 → ℝ) ≃L[ℝ] (Fin 2 → ℝ) :=
({ toLinearMap := branchNormalizeLinear i
invFun := branchNormalize i
left_inv := branchNormalize_involutive i
right_inv := branchNormalize_involutive i } :
(Fin 2 → ℝ) ≃ₗ[ℝ] (Fin 2 → ℝ)).toContinuousLinearEquiv
@[simp] lemma branchNormalizeEquiv_apply (i : Fin 3) (u : Fin 2 → ℝ) :
branchNormalizeEquiv i u=branchNormalize i u := rfl
lemma branchNormalize_basis_slopes (i : Fin 3) :
branchNormalize i (fun j => centralBasisSlopes j i)=normalizedSlope := by
ext j
fin_cases i <;> fin_cases j <;> norm_num [branchNormalize,centralBasisSlopes,normalizedSlope]
lemma branchNormalize_normalized_slope (i : Fin 3) :
branchNormalize i normalizedSlope=(fun j => centralBasisSlopes j i) := by
rw [←branchNormalize_basis_slopes i,branchNormalize_involutive i]
lemma branchNormalize_affineField {s : Fin 3 → ℝ}
(hs : ∀ x y : ℝ,(1/2)*(x^2+y^2) ≤ s 0*x^2+2*s 1*x*y+s 2*y^2)
(i : Fin 3) (κ : Fin 2 → ℝ) (f : Fin 2 → TorusL2) {x : Coord3} (hx : 0<x 0) :
branchNormalize i (fun j => torusAffineField s (κ j) (f j) x)=
fun j => torusAffineField s (branchNormalize i κ j) (branchNormalize i f j) x := by
ext j
fin_cases i <;> fin_cases j <;>
simp [branchNormalize,torusAffineField,torusRealContinuation_neg,
torusRealContinuation_sub hs _ _ hx] <;> ring
lemma branchNormalize_means (i : Fin 3) (f : Fin 2 → TorusL2) :
branchNormalize i (fun j => (mFourierCoeff (f j) 0).re)=
fun j => (mFourierCoeff (branchNormalize i f j : TorusL2) 0).re := by
fin_cases i
· ext j
fin_cases j
· change -(mFourierCoeff (f 0) 0).re=(mFourierCoeff (-f 0 : TorusL2) 0).re
rw [mFourierCoeff_Lp_neg,Complex.neg_re]
· change (mFourierCoeff (f 1) 0).re-(mFourierCoeff (f 0) 0).re=
(mFourierCoeff (f 1-f 0 : TorusL2) 0).re
simp only [sub_eq_add_neg]
rw [mFourierCoeff_Lp_add,mFourierCoeff_Lp_neg,Complex.add_re,Complex.neg_re]
· rfl
· ext j
fin_cases j <;> rfl
end ScalarConductivity
namespace ScalarConductivity
open Set Filter Topology MeasureTheory Matrix UnitAddTorus
open scoped Matrix.Norms.Elementwise
namespace TorusEndingData
variable {s : Fin 3 → ℝ} {f : Fin 2 → TorusL2} (z : TorusEndingData s f)
lemma terminal_component (j : Fin 2) (x : Coord3) (hx : z.R≤x 0) :
z.w.v x j=normalizedSlope j*x 0+(mFourierCoeff (f j) 0).re := by
rw [z.terminal_v x hx]
fin_cases j <;> simp [normalizedSlope]
lemma terminal_gradient (j : Fin 2) (x : Coord3) (hx : z.R<x 0) :
(gradientColumns (fderiv ℝ z.w.v x)).col j=normalizedSlope j • Pi.single 0 1 := by
have he : (fun x => z.w.v x j)=ᶠ[𝓝 x]
(fun x => normalizedSlope j*x 0+(mFourierCoeff (f j) 0).re) := by
filter_upwards [(axial_halfspace_open z.R).mem_nhds hx] with y hy
exact z.terminal_component j y hy.le
have hd := (((ContinuousLinearMap.proj (0 : Fin 3) : Coord3 →L[ℝ] ℝ).hasFDerivAt
(x:=x)).const_mul (normalizedSlope j)).add_const ((mFourierCoeff (f j) 0).re)
ext i
change fderiv ℝ z.w.v x (Pi.single i 1) j=normalizedSlope j*((Pi.single (0:Fin 3) (1:ℝ) : Coord3) i)
rw [←potential_component_fderiv (z.w.smooth.differentiable (by norm_num)) j,
he.fderiv_eq (𝕜 := ℝ)]
change fderiv ℝ (fun x => normalizedSlope j *
(ContinuousLinearMap.proj (0 : Fin 3) : Coord3 →L[ℝ] ℝ) x +
(mFourierCoeff (f j) 0).re) x (Pi.single i 1)=_
rw [hd.fderiv]
fin_cases i <;> simp
lemma terminal_flux (j : Fin 2) (x : Coord3) (hx : z.R<x 0) :
(z.w.G x).col j=normalizedSlope j • Pi.single 0 1 := by
have ha : (fun x => (z.w.G x).col j)=ᵐ[volume.restrict {x : Coord3 | z.R<x 0}]
(fun _ => normalizedSlope j • Pi.single 0 1) := by
filter_upwards [ae_restrict_of_ae z.w.constitution,
ae_restrict_mem (axial_halfspace_open z.R).measurableSet] with y hy hyR
rw [←hy]
change z.w.E y*ᵥ(gradientColumns (fderiv ℝ z.w.v y)).col j=_
rw [z.terminal_gradient j y hyR,Matrix.mulVec_smul,z.terminal_E y hyR.le]
exact (Measure.eqOn_open_of_ae_eq ha (axial_halfspace_open z.R)
(z.w.component_flux_C1 j).continuous.continuousOn continuous_const.continuousOn) hx
lemma fluxCorrection_at_zero
(hs : ∀ x y : ℝ,(1/2)*(x^2+y^2) ≤ s 0*x^2+2*s 1*x*y+s 2*y^2)
(j : Fin 2) (x : Coord3) (hx : x 0=0) : z.fluxCorrection j x=0 := by
exact (torusEndingFluxCorrection_initial_zero z.e_pos (fun y hy => z.initial_flux hs j y hy)
(by rw [hx]; linarith [z.d_pos,z.e_pos])).eq_of_nhds
lemma fluxCorrection_at_terminal (j : Fin 2) (x : Coord3) (hx : z.R<x 0) :
z.fluxCorrection j x=normalizedSlope j • Pi.single 0 1-
flatModeFlux s (torusAffineField s (normalizedSlope j) (f j)) x := by
rw [show z.fluxCorrection j x=(z.w.G x).col j-
flatModeFlux s (torusAffineField s (normalizedSlope j) (f j)) x from
(torusEndingFluxCorrection_terminal (by linarith [z.e_pos,z.overlap_lt] : z.d+z.e/2<x 0)).eq_of_nhds,
z.terminal_flux j x hx]
end TorusEndingData
end ScalarConductivity
end
end OAI