openAI-math-dataset / lean /OAI /Probability /InvariantIsing /Pressure /PhysicalPressureConcentration.lean
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import OAI.Probability.InvariantIsing.Cavity.CavityOrientedFamily
import OAI.Probability.InvariantIsing.Pressure.PressureMean
namespace OAI
/-! Almost-sure pressure concentration for the actual orthogonal matrices. -/
noncomputable section
open MeasureTheory ProbabilityTheory Filter
open scoped Topology
namespace InvariantIsing
theorem ae_physical_pressure_sub_mean_tendsto_zero (hpub : HaarConcentrationInput)
{Ω : Type*} [MeasurableSpace Ω] (P : Measure Ω) [IsProbabilityMeasure P]
(U : (n : ℕ) → Ω → Orthogonal (n+3)) (hU : ∀ n, Measurable (U n))
(hHaar : ∀ n, (P.map (U n)).IsMulRightInvariant)
(eig c : (n : ℕ) → Fin (n+3) → ℝ)
(K : ℝ) (hK : 0 < K) (heig : ∀ n i, |eig n i| ≤ K) :
∀ᵐ ω ∂P, Tendsto (fun n =>
rotatedPressure (eig n) (matrixRotation (U n ω)⁻¹) (c n)-
∫ η, rotatedPressure (eig n) (matrixRotation (U n η)⁻¹) (c n) ∂P)
atTop (𝓝 0) := by
let V (n : ℕ) (ω : Ω) := cavityOrientationLift (by omega : 0 < n+3) (U n ω)⁻¹
have hm n : Measurable (V n) :=
(measurable_cavityOrientationLift _).comp (hU n).inv
have hl n : P.map (V n)=cavityOrientedBaseLaw (by omega : 0 < n+3) (P.map (U n)) := by
change P.map ((fun W => cavityOrientationLift (by omega : 0 < n+3) W⁻¹) ∘ U n)=_
exact (Measure.map_map ((measurable_cavityOrientationLift _).comp measurable_inv) (hU n)).symm
have hv n : (P.map (V n)).IsMulLeftInvariant := by
let : IsProbabilityMeasure (P.map (U n)) :=
(Measure.isProbabilityMeasure_map_iff (hU n).aemeasurable).mpr inferInstance
let : (P.map (U n)).IsMulRightInvariant := hHaar n
rw [hl n]
exact cavityOrientedBaseLaw_leftInvariant _ _
have he n ω : rotatedPressure (eig n) (specialRotation (V n ω)) (c n)=
rotatedPressure (eig n) (matrixRotation (U n ω)⁻¹) (c n) := by
simp only [V,rotatedPressure,cavityOrientationLift_energy]
have hh := ae_pressure_sub_mean_tendsto_zero hpub P V hm hv eig c K hK heig
simpa only [he] using hh
end InvariantIsing
end
end OAI