Download lean/OAI/Probability/SKGap/Stability/RootGrid.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.58 kB
| import Mathlib | |
| import OAI.Probability.SKGap.Localization.FixedTimeQuenched | |
| import OAI.Probability.SKGap.Localization.OperatorQuenched | |
| import OAI.Probability.SKGap.Localization.GridSteps | |
| import OAI.Probability.SKGap.Localization.QuenchedHelpers | |
| namespace OAI | |
| namespace SKGap.FullMain | |
| open MeasureTheory ProbabilityTheory Filter Real Set ObservationBridge GaussianHistory | |
| open scoped Topology BigOperators ENNReal | |
| noncomputable section | |
| def gridFailure (n : ℕ) (j A K ε c ρ T : ℝ) (g : Disorder n) : ℝ := | |
| ∑k∈Finset.range (gridSteps n+1),fixedTimeFailure n j A K ε c ρ ((k:ℝ)*gridStep T n) g | |
| lemma gridFailure_nonneg (n : ℕ) (j A K ε c ρ T : ℝ) (g : Disorder n) : | |
| 0≤gridFailure n j A K ε c ρ T g := | |
| Finset.sum_nonneg (fun step _=>fixedTimeFailure_nonneg n j A K ε c ρ ((step:ℝ)*gridStep T n) g) | |
| lemma weighted_gridFailure_integrable (β : ℝ) (n : ℕ) (A K ε c ρ T : ℝ) : | |
| Integrable (fun g=>partitionSizeBias β n g*gridFailure n (β^2) A K ε c ρ T g) (disorderLaw β n) := by | |
| simp only [gridFailure,Finset.mul_sum] | |
| exact integrable_finsetSum _ (fun k _=>weighted_fixedTimeFailure_integrable _ _ _ _ _ _ _ _ _) | |
| lemma grid_time_mem {T : ℝ} (hT : 0≤T) {n k : ℕ} (hk : k≤gridSteps n) : | |
| (k:ℝ)*gridStep T n∈Icc 0 T := by | |
| have ht:=gridStep_nonneg hT n | |
| refine ⟨mul_nonneg (Nat.cast_nonneg _) ht,?_⟩ | |
| exact (mul_le_mul_of_nonneg_right (by exact_mod_cast hk) ht).trans_eq (grid_total T n) | |
| theorem quenched_grid_root_stability {β T : ℝ} (hβ : 0<β) (hβ1 : β<1) (hT : 0<T) : | |
| ∃A K ε c ρ a : ℝ,1<A ∧ 2*β<K ∧ β*A<1 ∧ 0<ε ∧ 0<c ∧ 0<ρ ∧ 0<a ∧ | |
| Whp β (fun n g=>operatorBound K (coupling g) ∧ | |
| gridFailure n (β^2) A K ε c ρ T g≤exp (-a*(n:ℝ))) := by | |
| obtain ⟨A,K,ε,c,ρ,a,hA,hK,hs,hε,hc,hρ,ha,N,hN,hann⟩:= | |
| annealed_fixed_time_root_stability hβ hβ1 hT | |
| have hsum : ∀ᶠ n:ℕ in atTop, | |
| (∫g,partitionSizeBias β n g*gridFailure n (β^2) A K ε c ρ T g ∂disorderLaw β n)≤ | |
| exp (-(a/2)*(n:ℝ)) := by | |
| filter_upwards [eventually_ge_atTop N,grid_exp_absorb ha] with n hn he | |
| simp only [gridFailure,Finset.mul_sum] | |
| rw [integral_finsetSum _ (fun k _=>weighted_fixedTimeFailure_integrable _ _ _ _ _ _ _ _ _)] | |
| have he' : (∑_k∈Finset.range (gridSteps n+1),exp (-a*(n:ℝ)))≤exp (-(a/2)*(n:ℝ)) := by | |
| simpa only [Finset.sum_const,Finset.card_range,nsmul_eq_mul,Nat.cast_add,Nat.cast_one] using he | |
| apply le_trans (Finset.sum_le_sum (fun k hk=>?_)) he' | |
| have hk' : k≤gridSteps n:=by have:=Finset.mem_range.mp hk;omega | |
| exact weighted_fixedTimeFailure_integral_bound β n A K ε c ρ ((k:ℝ)*gridStep T n) _ | |
| (exp_pos _).le (hann n hn _ (grid_time_mem hT.le hk')) | |
| have hp : Whp β (fun n g=>gridFailure n (β^2) A K ε c ρ T g≤exp (-((a/2)/4)*(n:ℝ))) := by | |
| apply (whp_iff_real _ _).mpr | |
| simp only [not_le] | |
| apply exponential_size_bias_transfer (C:=1) (disorderLaw β) (partitionSizeBias β) | |
| (fun n=>gridFailure n (β^2) A K ε c ρ T) | |
| (fun n g=>(partitionSizeBias_pos β n g).le) | |
| (fun n g=>gridFailure_nonneg _ _ _ _ _ _ _ _ _) (fun n=>weighted_gridFailure_integrable _ _ _ _ _ _ _ _) | |
| (half_pos ha) zero_le_one | |
| · exact disorder_partition_lower_tail hβ hβ1 (by positivity) | |
| · simpa only [one_mul] using hsum | |
| have hop : Whp β (fun n g=>operatorBound K (coupling g)):= | |
| (whp_iff_real _ _).mpr (quenched_operator_bound hβ hK) | |
| exact ⟨A,K,ε,c,ρ,(a/2)/4,hA,hK,hs,hε,hc,hρ,by positivity,hop.and hp⟩ | |
| end | |
| end SKGap.FullMain | |
| end OAI | |