production module
AutoSamplingTheory.ExampleCases.ProximalBPS.RealDefectRootUnique
Read the mathematical statements and proofs in order
1 named declarations scanned from AutoSamplingTheory/ExampleCases/ProximalBPS/RealDefectRootUnique.lean.
Declarations
theorem AutoSamplingTheory.ExampleCases.ProximalBPS.RealDefectRootUnique.actual_unique_positive_real_defect_root Partial Not mapped
Read the complete mathematical statement and proof, with Lean below each
No declaration docstring.
theorem actual_unique_positive_real_defect_root
{E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
{V : E → ℝ} {α β : ℝ≥0} {η : ℝ}
(hα : 0 < (α : ℝ)) (hαβ : α ≤ β) (hV : ContDiff ℝ 2 V)
(hH : ∀ x v : E,
(α : ℝ)*‖v‖^2 ≤ (fderiv ℝ (fderiv ℝ V) x v) v ∧
(fderiv ℝ (fderiv ℝ V) x v) v ≤ (β : ℝ)*‖v‖^2)
(hη : 0 < η) (hβη : (β : ℝ)*η ≤ 1) :
let μ := (volume : Measure E).tilted (fun x => -V x)
let J := (μ.prod (stdGaussian E)).map
(fun p : E × E => (p.1,p.1+Real.sqrt η • p.2))
let ν := J.snd
let Λ := J.map (fun p : E × E => (p.2,(2 : ℝ) • p.1-p.2))
IsProbabilityMeasure μ ∧ IsProbabilityMeasure J ∧ IsProbabilityMeasure ν ∧
∃ S : Kernel E E, IsMarkovKernel S ∧
(∀ y, S y = (volume : Measure E).tilted
(fun x => -V ((1/2 : ℝ) • (y+x)) - ‖y-x‖^2/(8*η))) ∧
Λ.IsCondKernel S ∧ Λ.fst = ν ∧ Λ.snd = ν ∧
∃ T : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν,
IsSelfAdjoint T ∧
(∀ u : Lp ℝ 2 ν, ‖T u‖ ≤ ‖u‖ ∧
(T u : E → ℝ) =ᵐ[ν] (fun y => ∫ x, u x ∂S y) ∧
(∫ y, T u y ∂ν) = ∫ y, u y ∂ν) ∧
((1 : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν)-T*T).IsPositive ∧
∃ Γ : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν,
Γ.IsPositive ∧ Γ*Γ = ((1 : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν)-T*T) ∧
(∀ u : Lp ℝ 2 ν, ‖Γ u‖^2 = ‖u‖^2-‖T u‖^2) ∧
∀ Γ' : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν,
Γ'.IsPositive →
Γ'*Γ' = ((1 : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν)-T*T) → Γ'=Γ := by
dsimp only
obtain ⟨hμ,hJ,hν,S,hS,hSd,hSc,hSf,hSs,T,hTs,hAll,hD,Γ,hΓ,hΓSq,hEnergy⟩ :=
RealDefectRoot.actual_positive_real_defect_root hα hαβ hV hH hη hβη
refine ⟨hμ,hJ,hν,S,hS,hSd,hSc,hSf,hSs,T,hTs,hAll,hD,Γ,hΓ,hΓSq,hEnergy,?_⟩
intro Γ' hΓ' hΓ'Sq
exact AutoSamplingTheory.TechnicalLemmas.Measure.L2RealSquareRootUnique.positive_square_roots_unique
_ Γ' Γ hΓ' hΓ (hΓ'Sq.trans hΓSq.symm)
end
end AutoSamplingTheory.ExampleCases.ProximalBPS.RealDefectRootUnique
#print axioms AutoSamplingTheory.ExampleCases.ProximalBPS.RealDefectRootUnique.actual_unique_positive_real_defect_root
AutoSamplingTheory/ExampleCases/ProximalBPS/RealDefectRootUnique.lean:12published source at ed709a7f320dOpen detailed card
Complete Lean source
AutoSamplingTheory/ExampleCases/ProximalBPS/RealDefectRootUnique.lean — full module with imports and context
import AutoSamplingTheory.ExampleCases.ProximalBPS.RealDefectRoot
import AutoSamplingTheory.TechnicalLemmas.Measure.L2RealSquareRootUnique
open MeasureTheory ProbabilityTheory
open scoped ContDiff NNReal ENNReal Topology
namespace AutoSamplingTheory.ExampleCases.ProximalBPS.RealDefectRootUnique
noncomputable section
set_option autoImplicit false
set_option maxHeartbeats 1000000
theorem actual_unique_positive_real_defect_root
{E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
[FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
{V : E → ℝ} {α β : ℝ≥0} {η : ℝ}
(hα : 0 < (α : ℝ)) (hαβ : α ≤ β) (hV : ContDiff ℝ 2 V)
(hH : ∀ x v : E,
(α : ℝ)*‖v‖^2 ≤ (fderiv ℝ (fderiv ℝ V) x v) v ∧
(fderiv ℝ (fderiv ℝ V) x v) v ≤ (β : ℝ)*‖v‖^2)
(hη : 0 < η) (hβη : (β : ℝ)*η ≤ 1) :
let μ := (volume : Measure E).tilted (fun x => -V x)
let J := (μ.prod (stdGaussian E)).map
(fun p : E × E => (p.1,p.1+Real.sqrt η • p.2))
let ν := J.snd
let Λ := J.map (fun p : E × E => (p.2,(2 : ℝ) • p.1-p.2))
IsProbabilityMeasure μ ∧ IsProbabilityMeasure J ∧ IsProbabilityMeasure ν ∧
∃ S : Kernel E E, IsMarkovKernel S ∧
(∀ y, S y = (volume : Measure E).tilted
(fun x => -V ((1/2 : ℝ) • (y+x)) - ‖y-x‖^2/(8*η))) ∧
Λ.IsCondKernel S ∧ Λ.fst = ν ∧ Λ.snd = ν ∧
∃ T : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν,
IsSelfAdjoint T ∧
(∀ u : Lp ℝ 2 ν, ‖T u‖ ≤ ‖u‖ ∧
(T u : E → ℝ) =ᵐ[ν] (fun y => ∫ x, u x ∂S y) ∧
(∫ y, T u y ∂ν) = ∫ y, u y ∂ν) ∧
((1 : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν)-T*T).IsPositive ∧
∃ Γ : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν,
Γ.IsPositive ∧ Γ*Γ = ((1 : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν)-T*T) ∧
(∀ u : Lp ℝ 2 ν, ‖Γ u‖^2 = ‖u‖^2-‖T u‖^2) ∧
∀ Γ' : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν,
Γ'.IsPositive →
Γ'*Γ' = ((1 : Lp ℝ 2 ν →L[ℝ] Lp ℝ 2 ν)-T*T) → Γ'=Γ := by
dsimp only
obtain ⟨hμ,hJ,hν,S,hS,hSd,hSc,hSf,hSs,T,hTs,hAll,hD,Γ,hΓ,hΓSq,hEnergy⟩ :=
RealDefectRoot.actual_positive_real_defect_root hα hαβ hV hH hη hβη
refine ⟨hμ,hJ,hν,S,hS,hSd,hSc,hSf,hSs,T,hTs,hAll,hD,Γ,hΓ,hΓSq,hEnergy,?_⟩
intro Γ' hΓ' hΓ'Sq
exact AutoSamplingTheory.TechnicalLemmas.Measure.L2RealSquareRootUnique.positive_square_roots_unique
_ Γ' Γ hΓ' hΓ (hΓ'Sq.trans hΓSq.symm)
end
end AutoSamplingTheory.ExampleCases.ProximalBPS.RealDefectRootUnique
#print axioms AutoSamplingTheory.ExampleCases.ProximalBPS.RealDefectRootUnique.actual_unique_positive_real_defect_root