openAI-math-dataset / lean /OAI /Analysis /Conductivity /Fourier /LeadingFrequencyAlignment.lean
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Add lean source and binary files (part 15)
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import Mathlib
import OAI.Analysis.Conductivity.Model
namespace OAI
noncomputable section
namespace ScalarConductivity
open Set Filter Topology MeasureTheory Matrix
theorem leading_frequency_SL2_alignment {h : Fin 2 → ℤ} (hh : h≠0) :
∃ (k : ℤ) (A : Matrix (Fin 2) (Fin 2) ℤ),
0<k ∧ A.det=1 ∧ h ᵥ* A=![0,k] := by
have hg : 0<Int.gcd (h 0) (h 1) := by
apply Nat.pos_of_ne_zero
intro he
have hz := Int.gcd_eq_zero_iff.mp he
apply hh
ext i
fin_cases i
· exact hz.1
· exact hz.2
obtain ⟨u,v,huv,h0,h1⟩ := Int.exists_gcd_one hg
let a := Int.gcdA u v
let b := Int.gcdB u v
have hab : u*a+v*b=1 := by
simpa only [huv,Int.natCast_one] using (Int.gcd_eq_gcd_ab u v).symm
refine ⟨Int.gcd (h 0) (h 1),!![v,a;-u,b],by exact_mod_cast hg,?_,?_⟩
· rw [Matrix.det_fin_two_of]
nlinarith
· ext i
fin_cases i
· simp only [Matrix.vecMul,dotProduct,Fin.sum_univ_two,Matrix.of_apply,
Matrix.cons_val_zero,Matrix.cons_val_one]
change h 0*v+h 1*(-u)=0
calc
_ = (u*(Int.gcd (h 0) (h 1):ℤ))*v+(v*(Int.gcd (h 0) (h 1):ℤ))*(-u) :=
congrArg₂ (fun x y : ℤ => x*v+y*(-u)) h0 h1
_ = 0 := by ring
· simp only [Matrix.vecMul,dotProduct,Fin.sum_univ_two,Matrix.of_apply,
Matrix.cons_val_zero,Matrix.cons_val_one]
change h 0*a+h 1*b=(Int.gcd (h 0) (h 1):ℤ)
calc
_ = (u*a+v*b)*(Int.gcd (h 0) (h 1):ℤ) := by
calc
_ = (u*(Int.gcd (h 0) (h 1):ℤ))*a+(v*(Int.gcd (h 0) (h 1):ℤ))*b :=
congrArg₂ (fun x y : ℤ => x*a+y*b) h0 h1
_ = _ := by ring
_ = _ := by rw [hab,one_mul]
end ScalarConductivity
namespace ScalarConductivity
open Set Filter Topology MeasureTheory Matrix
def angularIntMap (A : Matrix (Fin 2) (Fin 2) ℤ) :
UnitAddTorus (Fin 2) →+ UnitAddTorus (Fin 2) where
toFun x := ![A 0 0 • x 0+A 0 1 • x 1,A 1 0 • x 0+A 1 1 • x 1]
map_zero' := by ext i; fin_cases i <;> simp
map_add' x y := by ext i; fin_cases i <;> simp [smul_add] <;> abel
lemma angularIntMap_continuous (A : Matrix (Fin 2) (Fin 2) ℤ) :
Continuous (angularIntMap A) := by
apply continuous_pi
intro i
fin_cases i <;>
exact (continuous_apply 0 |>.zsmul _).add (continuous_apply 1 |>.zsmul _)
lemma angularIntMap_surjective {A : Matrix (Fin 2) (Fin 2) ℤ} (hA : A.det=1) :
Function.Surjective (angularIntMap A) := by
have hd : A 0 0*A 1 1-A 0 1*A 1 0=1 := by simpa only [Matrix.det_fin_two] using hA
intro y
refine ⟨![A 1 1 • y 0- A 0 1 • y 1,-A 1 0 • y 0+A 0 0 • y 1],?_⟩
ext i
fin_cases i
· change A 0 0 • (A 1 1 • y 0-A 0 1 • y 1)+
A 0 1 • (-A 1 0 • y 0+A 0 0 • y 1)=y 0
calc
_ = (A 0 0*A 1 1-A 0 1*A 1 0) • y 0 := by module
_ = _ := by rw [hd,one_smul]
· change A 1 0 • (A 1 1 • y 0-A 0 1 • y 1)+
A 1 1 • (-A 1 0 • y 0+A 0 0 • y 1)=y 1
calc
_ = (A 0 0*A 1 1-A 0 1*A 1 0) • y 1 := by module
_ = _ := by rw [hd,one_smul]
lemma angularIntMap_measurePreserving {A : Matrix (Fin 2) (Fin 2) ℤ} (hA : A.det=1) :
MeasurePreserving (angularIntMap A) (volume : Measure (UnitAddTorus (Fin 2))) volume :=
AddMonoidHom.measurePreserving (angularIntMap_continuous A) (angularIntMap_surjective hA) rfl
end ScalarConductivity
namespace ScalarConductivity
open Set Filter Topology MeasureTheory Matrix
def angularNormalization (A : Matrix (Fin 2) (Fin 2) ℤ) : ℝ :=
(A 0 0:ℝ)^2+(A 0 1:ℝ)^2+(A 1 0:ℝ)^2+(A 1 1:ℝ)^2+1
def normalizedAngularTensor (s : Fin 3 → ℝ) (A : Matrix (Fin 2) (Fin 2) ℤ) : Fin 3 → ℝ :=
let a : ℝ := A 0 0
let b : ℝ := A 0 1
let c : ℝ := A 1 0
let d : ℝ := A 1 1
let M := angularNormalization A
![M*(s 0*d^2-2*s 1*b*d+s 2*b^2),
M*(-s 0*c*d+s 1*(a*d+b*c)-s 2*a*b),
M*(s 0*c^2-2*s 1*a*c+s 2*a^2)]
lemma angularNormalization_pos (A : Matrix (Fin 2) (Fin 2) ℤ) :
0<angularNormalization A := by unfold angularNormalization; positivity
lemma twoCoordinate_cauchy (a b x y : ℝ) :
(a*x+b*y)^2≤(a^2+b^2)*(x^2+y^2) := by
nlinarith [sq_nonneg (a*y-b*x)]
theorem normalizedAngularTensor_lower {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)
{A : Matrix (Fin 2) (Fin 2) ℤ} (hA : A.det=1) (x y : ℝ) :
(1/2)*(x^2+y^2)≤normalizedAngularTensor s A 0*x^2+
2*normalizedAngularTensor s A 1*x*y+normalizedAngularTensor s A 2*y^2 := by
let a : ℝ := A 0 0
let b : ℝ := A 0 1
let c : ℝ := A 1 0
let d : ℝ := A 1 1
let M := angularNormalization A
have hdZ : A 0 0*A 1 1-A 0 1*A 1 0=1 := by
simpa only [Matrix.det_fin_two] using hA
have hd : a*d-b*c=1 := by
dsimp [a,b,c,d]
exact_mod_cast hdZ
let u := d*x-c*y
let v := -b*x+a*y
have hx : a*u+c*v=x := by
calc
_ = (a*d-b*c)*x := by dsimp [u,v]; ring
_ = _ := by rw [hd,one_mul]
have hy : b*u+d*v=y := by
calc
_ = (a*d-b*c)*y := by dsimp [u,v]; ring
_ = _ := by rw [hd,one_mul]
have hn : x^2+y^2≤M*(u^2+v^2) := by
calc
_ = (a*u+c*v)^2+(b*u+d*v)^2 := by rw [hx,hy]
_ ≤ (a^2+c^2)*(u^2+v^2)+(b^2+d^2)*(u^2+v^2) :=
add_le_add (twoCoordinate_cauchy a c u v) (twoCoordinate_cauchy b d u v)
_ ≤ M*(u^2+v^2) := by
dsimp [M,angularNormalization,a,b,c,d]
nlinarith [sq_nonneg u,sq_nonneg v]
have he : normalizedAngularTensor s A 0*x^2+
2*normalizedAngularTensor s A 1*x*y+normalizedAngularTensor s A 2*y^2=
M*(s 0*u^2+2*s 1*u*v+s 2*v^2) := by
dsimp [normalizedAngularTensor,M,u,v,a,b,c,d]
ring
rw [he]
have hm := mul_le_mul_of_nonneg_left (hs u v) (angularNormalization_pos A).le
nlinarith
end ScalarConductivity
end
end OAI