import Mathlib namespace OAI open MeasureTheory ProbabilityTheory Filter open scoped ENNReal NNReal BigOperators Topology namespace DirectionalTransience abbrev Lattice (d : ℕ) := Fin d → ℤ abbrev Direction (d : ℕ) := Fin d × Bool abbrev Vector (d : ℕ) := Fin d → ℝ abbrev Row (d : ℕ) := {p : Direction d → ℝ≥0 // ∑ e, p e = 1} abbrev Environment (d : ℕ) := Lattice d → Row d abbrev State (d : ℕ) := Environment d × Lattice d abbrev Path (d : ℕ) := ℕ → Lattice d def step {d : ℕ} (e : Direction d) : Lattice d := fun i => if i = e.1 then (if e.2 then 1 else -1) else 0 noncomputable def environmentLaw {d : ℕ} (ν : Measure (Row d)) : Measure (Environment d) := Measure.infinitePi (fun _ => ν) def UniformElliptic {d : ℕ} (ν : Measure (Row d)) : Prop := ∃ κ : ℝ≥0, 0 < κ ∧ ∀ᵐ p ∂ν, ∀ e, κ ≤ p.1 e lemma measurable_current_row {d : ℕ} : Measurable (fun z : State d => z.1 z.2) := by apply measurable_from_prod_countable_left intro x exact measurable_pi_apply x noncomputable def transition {d : ℕ} : Kernel (State d) (State d) where toFun z := ∑ e : Direction d, ((z.1 z.2).1 e : ℝ≥0∞) • Measure.dirac (z.1, z.2 + step e) measurable' := by apply Measure.measurable_of_measurable_coe intro s hs simp only [Measure.finsetSum_apply, Measure.smul_apply, smul_eq_mul] apply Finset.measurable_fun_sum intro e _ apply Measurable.mul · exact (measurable_pi_apply e |>.comp (measurable_subtype_coe.comp measurable_current_row)).coe_nnreal_ennreal · exact (Measure.measurable_coe hs).comp (Measure.measurable_dirac.comp (measurable_fst.prodMk (measurable_snd.add_const (step e)))) instance transition_markov {d : ℕ} : IsMarkovKernel (transition (d := d)) where isProbabilityMeasure z := by constructor change (∑ e : Direction d, ((z.1 z.2).1 e : ℝ≥0∞) • Measure.dirac (z.1, z.2 + step e)) Set.univ = 1 simp only [Measure.finsetSum_apply, Measure.smul_apply, Measure.dirac_apply_of_mem (Set.mem_univ _), smul_eq_mul, mul_one] rw [← ENNReal.ofNNReal_finsetSum, (z.1 z.2).2] rfl noncomputable def historyTransition {d : ℕ} (n : ℕ) : Kernel ((i : Finset.Iic n) → State d) (State d) where toFun z := transition (z ⟨n, Finset.mem_Iic.mpr le_rfl⟩) measurable' := transition.measurable.comp (measurable_pi_apply _) instance historyTransition_markov {d : ℕ} (n : ℕ) : IsMarkovKernel (historyTransition (d := d) n) where isProbabilityMeasure _ := transition_markov.isProbabilityMeasure _ noncomputable def initialLaw {d : ℕ} (ν : Measure (Row d)) : Measure (State d) := (environmentLaw ν).map (fun ω => (ω, (0 : Lattice d))) noncomputable def annealedLaw {d : ℕ} (ν : Measure (Row d)) : Measure (Path d) := (@Kernel.trajMeasure (fun _ => State d) _ (initialLaw ν) (historyTransition (d := d)) _).map (fun z n => (z n).2) def dot {d : ℕ} (v ℓ : Vector d) : ℝ := ∑ i, v i * ℓ i def realPosition {d : ℕ} (x : Lattice d) : Vector d := fun i => (x i : ℝ) def DirectionallyTransient {d : ℕ} (ν : Measure (Row d)) (ℓ : Vector d) : Prop := ∀ᵐ X ∂annealedLaw ν, Tendsto (fun n => dot (realPosition (X n)) ℓ) atTop atTop def HasVelocity {d : ℕ} (ν : Measure (Row d)) (v : Vector d) : Prop := ∀ᵐ X ∂annealedLaw ν, Tendsto (fun n : ℕ => (fun i => (X n i : ℝ) / (n : ℝ))) atTop (𝓝 v) open scoped ENNReal NNReal Classical Topology BigOperators def MainStatement : Prop := ∀ (d : ℕ), 2 ≤ d → ∀ (ν : Measure (Row d)), IsProbabilityMeasure ν → UniformElliptic ν → ∀ (ℓ : Vector d), dot ℓ ℓ = 1 → DirectionallyTransient ν ℓ → ∃ v : Vector d, 0 < dot v ℓ ∧ HasVelocity ν v end DirectionalTransience end OAI