Download lean/OAI/Probability/FreeIsing/Spins/Recovery.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.42 kB
| import OAI.Probability.FreeIsing.Model | |
| namespace OAI | |
| noncomputable section | |
| open MeasureTheory Filter | |
| open scoped Topology | |
| namespace Problem367.SpinRecovery | |
| def spinSign : IsingSpin → ℝ | |
| | .neg => -1 | |
| | .pos => 1 | |
| def decode (x : ℕ → ℝ) : IsingSpin := by | |
| classical | |
| exact if Tendsto (fun n : ℕ => x n / (n : ℝ)) atTop (𝓝 (-1 : ℝ)) | |
| then .neg else .pos | |
| theorem measurable_decode : Measurable decode := by | |
| unfold decode | |
| apply Measurable.ite | |
| · exact measurableSet_tendsto (𝓝 (-1 : ℝ)) | |
| (f := fun (n : ℕ) (x : ℕ → ℝ) => x n / (n : ℝ)) | |
| (by intro n; fun_prop) | |
| · exact measurable_const | |
| · exact measurable_const | |
| theorem decode_of_tendsto {x : ℕ → ℝ} {s : IsingSpin} | |
| (h : Tendsto (fun n : ℕ => x n / (n : ℝ)) atTop (𝓝 (spinSign s))) : | |
| decode x = s := by | |
| cases s with | |
| | neg => | |
| simp only [spinSign] at h | |
| simp [decode, h] | |
| | pos => | |
| have hn : ¬ Tendsto (fun n : ℕ => x n / (n : ℝ)) atTop (𝓝 (-1 : ℝ)) := by | |
| intro hm | |
| have he : (-1 : ℝ) = 1 := tendsto_nhds_unique hm h | |
| norm_num at he | |
| simp [decode, hn] | |
| theorem decode_signal_add_noise (s : IsingSpin) {z : ℕ → ℝ} | |
| (hz : Tendsto (fun n : ℕ => z n / (n : ℝ)) atTop (𝓝 (0 : ℝ))) : | |
| decode (fun n : ℕ => (n : ℝ) * spinSign s + z n) = s := by | |
| apply decode_of_tendsto | |
| have he : (fun n : ℕ => ((n : ℝ) * spinSign s + z n) / (n : ℝ)) =ᶠ[atTop] | |
| (fun n : ℕ => spinSign s + z n / (n : ℝ)) := by | |
| filter_upwards [eventually_ge_atTop 1] with n hn | |
| have hn' : (n : ℝ) ≠ 0 := by exact_mod_cast (by omega : n ≠ 0) | |
| field_simp | |
| apply (tendsto_congr' he).2 | |
| simpa using tendsto_const_nhds.add hz | |
| def decodeArray {V : Type*} (x : V → ℕ → ℝ) : V → IsingSpin := | |
| fun v => decode (x v) | |
| theorem measurable_decodeArray {V : Type*} : | |
| Measurable (decodeArray (V := V)) := by | |
| exact Measurable.of_eval fun vertex => | |
| measurable_decode.comp (measurable_pi_apply vertex) | |
| theorem decodeArray_comp {V W : Type*} (x : V → ℕ → ℝ) (f : W → V) : | |
| decodeArray (x ∘ f) = decodeArray x ∘ f := rfl | |
| theorem decodeArray_relabel {d : ℕ} (g : TreeAut d) | |
| (x : TreeVertex d → ℕ → ℝ) : | |
| decodeArray (relabel g x) = relabel g (decodeArray x) := rfl | |
| theorem decodeArray_of_tendsto {V : Type*} {x : V → ℕ → ℝ} | |
| {s : V → IsingSpin} | |
| (h : ∀ v, Tendsto (fun n : ℕ => x v n / (n : ℝ)) atTop (𝓝 (spinSign (s v)))) : | |
| decodeArray x = s := by | |
| funext v | |
| exact decode_of_tendsto (h v) | |
| theorem decodeArray_ae_eq {Ω V : Type*} [MeasurableSpace Ω] [Countable V] | |
| {μ : Measure Ω} {x : Ω → V → ℕ → ℝ} {s : Ω → V → IsingSpin} | |
| (h : ∀ v, ∀ᵐ ω ∂μ, | |
| Tendsto (fun n : ℕ => x ω v n / (n : ℝ)) atTop (𝓝 (spinSign (s ω v)))) : | |
| (fun ω => decodeArray (x ω)) =ᵐ[μ] s := by | |
| filter_upwards [ae_all_iff.2 h] with ω hω | |
| exact decodeArray_of_tendsto hω | |
| theorem map_decodeArray_eq {Ω V : Type*} [MeasurableSpace Ω] [Countable V] | |
| {μ : Measure Ω} {x : Ω → V → ℕ → ℝ} {s : Ω → V → IsingSpin} | |
| (h : ∀ v, ∀ᵐ ω ∂μ, | |
| Tendsto (fun n : ℕ => x ω v n / (n : ℝ)) atTop (𝓝 (spinSign (s ω v)))) : | |
| Measure.map (fun ω => decodeArray (x ω)) μ = Measure.map s μ := | |
| Measure.map_congr (decodeArray_ae_eq h) | |
| end Problem367.SpinRecovery | |
| end | |
| end OAI | |