Download lean/OAI/Probability/MemoryPrecision/StochasticMass.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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5.24 kB
| import Mathlib | |
| import OAI.Probability.GaussianRegression.Main | |
| import OAI.Probability.MemoryPrecision.CubeContinuation | |
| import OAI.Probability.MemoryPrecision.StochasticContinuation | |
| namespace OAI | |
| open MeasureTheory ProbabilityTheory Set Filter EuclideanGeometry | |
| open scoped ENNReal NNReal RealInnerProductSpace Topology Pointwise | |
| noncomputable section | |
| universe u v | |
| open MeasureTheory ProbabilityTheory Set Filter | |
| open scoped ENNReal NNReal RealInnerProductSpace Topology Pointwise | |
| namespace MemoryPrecision | |
| open NoiselessRegression | |
| lemma stoch_sphere_mass {d N : ℕ} (hd : 16 ≤ d) (hN : 1 ≤ N) | |
| {δ : ℕ → Fin N → (Space d × ℝ) → Fin N → ℝ≥0∞} | |
| {w : ℕ → Fin N → Sphere d → ℝ≥0∞} | |
| (hδ : ∀ n j a, Measurable (fun obs => δ n j obs a)) | |
| (hδ1 : ∀ n j obs, ∑ a, δ n j obs a ≤ 1) (hw : ∀ n j, Measurable (w n j)) | |
| (hw1 : ∀ n j s, w n j s ≤ 1) {H α : ℝ} (hH : 0 < H) | |
| (hαlo : ((d:ℝ)-1)/2 ≤ α) (hαhi : α ≤ (d:ℝ)/2) | |
| (hlocal : ∀ n j, SphereBallBound (w n j) H α) | |
| (b k : ℕ) (hk : k ≤ b*(d/8)) (n : ℕ) (j : Fin N) : | |
| SphereBallBound (stochCont δ w Subtype.val n k j) | |
| (H * RealStep d N ^ b) α := by | |
| have hp : 0 < d/8 := by omega | |
| have hK := realStep_one d hN | |
| have hK0 := realStep_pos d hN | |
| induction b generalizing k n j with | |
| | zero => | |
| have : k = 0 := by omega | |
| subst k | |
| simpa [stochCont] using hlocal n j | |
| | succ b ih => | |
| by_cases hk0 : k = 0 | |
| · subst k | |
| apply (hlocal n j).mono | |
| simpa [stochCont] using le_mul_of_one_le_right hH.le (one_le_pow₀ hK) | |
| · let m := min k (d/8) | |
| have hm : 1 ≤ m := by dsimp [m]; omega | |
| have hmp : m ≤ d/8 := min_le_right _ _ | |
| have hmk : m ≤ k := min_le_left _ _ | |
| have hk' : k-m ≤ b*(d/8) := by | |
| dsimp [m] | |
| rw [Nat.succ_mul] at hk | |
| omega | |
| have hb := (Classical.choose_spec coefficient_step).2 d m N hd hm hmp hN α | |
| (H * RealStep d N ^ b) hαlo hαhi (mul_pos hH (pow_pos hK0 b)) | |
| (fun a => stochCont δ w Subtype.val (n+m) (k-m) a) | |
| (fun a => measurable_stochCont hδ hw measurable_subtype_coe _ _ a) | |
| (fun a s => stochCont_le_one Subtype.val hδ1 hw1 _ _ a s) | |
| (fun a => ih (k-m) hk' (n+m) a) | |
| (fun a x => stochRoute δ n m j x a) | |
| (fun a => measurable_stochRoute hδ n m j a) | |
| (fun x => stochRoute_sum_le_one hδ1 n m j x) | |
| have he : stochCont δ w Subtype.val n k j = | |
| SphereBlock (fun a => stochCont δ w Subtype.val (n+m) (k-m) a) | |
| (fun a x => stochRoute δ n m j x a) := by | |
| funext s | |
| simpa [Nat.add_sub_of_le hmk, SphereBlock, WeightedBlock] using | |
| stochCont_unroll Subtype.val hδ n m (k-m) j s | |
| rw [he] | |
| convert hb using 1 | |
| change H * RealStep d N ^ (b+1) = RealStep d N * (H * RealStep d N ^ b) | |
| rw [pow_succ]; ring | |
| lemma stoch_cube_mass {d N : ℕ} (hd : 16 ≤ d) (hN : 1 ≤ N) | |
| {δ : ℕ → Fin N → (Space d × ℝ) → Fin N → ℝ≥0∞} | |
| {w : ℕ → Fin N → Cube d → ℝ≥0∞} | |
| (hδ : ∀ n j a, Measurable (fun obs => δ n j obs a)) | |
| (hδ1 : ∀ n j obs, ∑ a, δ n j obs a ≤ 1) (hw : ∀ n j, Measurable (w n j)) | |
| (hw1 : ∀ n j s, w n j s ≤ 1) {H : ℝ} (hH : 0 < H) | |
| (hlocal : ∀ n j, CubeLocal (w n j) H) | |
| (b k : ℕ) (hk : k ≤ b*((d/2)/4)) (n : ℕ) (j : Fin N) : | |
| CubeLocal (stochCont δ w (CubeEmbedding d) n k j) | |
| (H * CubeStep d N ^ b) := by | |
| have hp : 0 < (d/2)/4 := by omega | |
| have hK := cubeStep_one d hN | |
| have hK0 := cubeStep_pos d hN | |
| induction b generalizing k n j with | |
| | zero => | |
| have : k = 0 := by omega | |
| subst k | |
| simpa [stochCont] using hlocal n j | |
| | succ b ih => | |
| by_cases hk0 : k = 0 | |
| · subst k | |
| apply (hlocal n j).mono | |
| simpa [stochCont] using le_mul_of_one_le_right hH.le (one_le_pow₀ hK) | |
| · let m := min k ((d/2)/4) | |
| have hm : 1 ≤ m := by dsimp [m]; omega | |
| have hmp : m ≤ (d/2)/4 := min_le_right _ _ | |
| have hmk : m ≤ k := min_le_left _ _ | |
| have hk' : k-m ≤ b*((d/2)/4) := by | |
| dsimp [m] | |
| rw [Nat.succ_mul] at hk | |
| omega | |
| have hb := (Classical.choose_spec cube_block).2 d m N hd hm hmp hN | |
| (H * CubeStep d N ^ b) (mul_pos hH (pow_pos hK0 b)).le | |
| (fun a => stochCont δ w (CubeEmbedding d) (n+m) (k-m) a) | |
| (fun a => measurable_stochCont hδ hw (cubeEmbedding_measurable d) _ _ a) | |
| (fun a s => stochCont_le_one (CubeEmbedding d) hδ1 hw1 _ _ a s) | |
| (fun a => ih (k-m) hk' (n+m) a) | |
| (fun a x => stochRoute δ n m j x a) | |
| (fun a => measurable_stochRoute hδ n m j a) | |
| (fun x => stochRoute_sum_le_one hδ1 n m j x) | |
| have he : stochCont δ w (CubeEmbedding d) n k j = | |
| WeightedBlock (CubeEmbedding d) | |
| (fun a => stochCont δ w (CubeEmbedding d) (n+m) (k-m) a) | |
| (fun a x => stochRoute δ n m j x a) := by | |
| funext s | |
| simpa [Nat.add_sub_of_le hmk, WeightedBlock] using | |
| stochCont_unroll (CubeEmbedding d) hδ n m (k-m) j s | |
| rw [he] | |
| convert hb using 1 | |
| change H * CubeStep d N ^ (b+1) = CubeStep d N * (H * CubeStep d N ^ b) | |
| rw [pow_succ]; ring | |
| end MemoryPrecision | |
| end | |
| end OAI | |