Download lean/OAI/Probability/MemoryPrecision/KernelCaps.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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5.26 kB
| import Mathlib | |
| import OAI.Probability.GaussianRegression.Main | |
| import OAI.Probability.MemoryPrecision.CubeExperiment | |
| import OAI.Probability.MemoryPrecision.KernelEvaluation | |
| import OAI.Probability.MemoryPrecision.SphereCaps | |
| 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.Kernel | |
| open MemoryPrecision NoiselessRegression | |
| instance {d : ℕ} [NeZero d] : IsProbabilityMeasure (UniformSphere d) := | |
| (show IsProbabilityMeasure (NoiselessRegression.sphereLaw (E := Vector d)) from inferInstance) | |
| instance (d T : ℕ) : IsProbabilityMeasure (RowLaw d T) := by unfold RowLaw; infer_instance | |
| namespace Policy | |
| variable {d M T : ℕ} (K : Policy d M T) | |
| lemma chordTest_eq_cap (ε : ℝ) (s v : MemoryPrecision.Kernel.Sphere d) : | |
| chordTest ε (s,v) = capWeight v.val ε s.val := by | |
| classical | |
| change (if dist v.val s.val ≤ ε then 1 else 0) = | |
| (if dist s.val v.val ≤ ε then 1 else 0) | |
| rw [dist_comm] | |
| lemma output_chord_sphere_local (hd : 1 ≤ d) {ε α : ℝ} (hε : 0 < ε) | |
| (hα : 0 ≤ α) (hαn : α ≤ (d:ℝ)-1) (t : ℕ) (j : MemoryPrecision.Kernel.State M) : | |
| SphereBallBound (K.outputTest (chordTest ε) t j) | |
| ((3*4^d:ℝ)*ε^((d:ℝ)-1-α)) α := by | |
| have : NeZero d := ⟨by omega⟩ | |
| intro z r hr | |
| change (∫⁻ s in {s : MemoryPrecision.Kernel.Sphere d | dist s.val z ≤ r}, | |
| ∫⁻ v, chordTest ε (s,v) ∂K.output t j ∂UniformSphere d) ≤ _ | |
| have hm : Measurable (Function.uncurry (fun s v : MemoryPrecision.Kernel.Sphere d => chordTest ε (s,v))) := | |
| measurable_chordTest ε | |
| rw [lintegral_lintegral_swap hm.aemeasurable] | |
| have hb (v : MemoryPrecision.Kernel.Sphere d) := sphere_cap_real_mass hd v.val hε hα hαn z r hr | |
| simp_rw [chordTest_eq_cap] | |
| exact (lintegral_mono hb).trans_eq (by simp) | |
| lemma output_chord_cube_local (hd : 2 ≤ d) {ε : ℝ} (hε : 0 < ε) | |
| (t : ℕ) (j : MemoryPrecision.Kernel.State M) : | |
| CubeLocal (fun u => K.outputTest (chordTest ε) t j (CubeSphere hd u)) | |
| ((12:ℝ)^(d/2)*ε^((d/2:ℕ)/4:ℝ)) := by | |
| intro z r hr | |
| change (∫⁻ u in CubeBall d z r, ∫⁻ v, chordTest ε (CubeSphere hd u,v) | |
| ∂K.output t j ∂CubeLaw d) ≤ _ | |
| have hf : Measurable (Function.uncurry (fun (u : Cube d) (v : MemoryPrecision.Kernel.Sphere d) => | |
| chordTest ε (CubeSphere hd u,v))) := | |
| (measurable_chordTest ε).comp ((cubeSphere_measurable hd).comp measurable_fst |>.prodMk measurable_snd) | |
| rw [lintegral_lintegral_swap hf.aemeasurable] | |
| simp_rw [chordTest_eq_cap] | |
| change (∫⁻ v : MemoryPrecision.Kernel.Sphere d, ∫⁻ u in CubeBall d z r, | |
| capWeight v.val ε (CubeEmbedding d u) ∂CubeLaw d ∂K.output t j) ≤ _ | |
| have hb (v : MemoryPrecision.Kernel.Sphere d) := cube_cap_local hd v.val hε z r hr | |
| exact (lintegral_mono hb).trans_eq (by simp) | |
| lemma output_chord_sphere_total (hd : 1 ≤ d) {ε : ℝ} (hε : 0 < ε) | |
| (t : ℕ) (j : MemoryPrecision.Kernel.State M) : | |
| (∫⁻ s, K.outputTest (chordTest ε) t j s ∂UniformSphere d) ≤ | |
| ENNReal.ofReal ((3*4^d:ℝ)*ε^(d-1)) := by | |
| have h := sphere_mass_bound (K.output_chord_sphere_local hd hε (α := 0) le_rfl (by | |
| have hd' : (1:ℝ) ≤ d := by exact_mod_cast hd | |
| linarith) t j) | |
| have hn : ((d-1:ℕ):ℝ) = (d:ℝ)-1 := by rw [Nat.cast_sub hd, Nat.cast_one] | |
| simpa only [UniformSphere, SpherePrior,sub_zero, ← hn, Real.rpow_natCast] using h | |
| lemma angleTest_le_chordTest (ε : ℝ) (x : MemoryPrecision.Kernel.Sphere d × MemoryPrecision.Kernel.Sphere d) : | |
| angleTest ε x ≤ chordTest ε x := by | |
| classical | |
| by_cases ha : Real.arccos ⟪x.2.val,x.1.val⟫ ≤ ε | |
| · have hc : dist x.2.val x.1.val ≤ ε := (chord_le_arccos x.2 x.1).trans ha | |
| simp [angleTest, chordTest, ha, hc] | |
| · simp [angleTest, ha] | |
| lemma eval_mono {X : Type*} {w v : ℕ → MemoryPrecision.Kernel.State M → X → ℝ≥0∞} | |
| (h : ∀ n j s, w n j s ≤ v n j s) (n k : ℕ) (j : MemoryPrecision.Kernel.State M) | |
| (s : X) (obs : Observations d k) : K.eval w n k j s obs ≤ K.eval v n k j s obs := by | |
| induction k generalizing n j with | |
| | zero => exact h n j s | |
| | succ k ih => | |
| apply Finset.sum_le_sum | |
| intro a _ | |
| apply mul_le_mul' le_rfl | |
| split | |
| · exact h _ _ _ | |
| · exact ih _ _ _ | |
| lemma pathValue_mono {X : Type*} {w v : ℕ → MemoryPrecision.Kernel.State M → X → ℝ≥0∞} | |
| (h : ∀ n j s, w n j s ≤ v n j s) (s : X) (obs : Observations d T) : | |
| K.pathValue w s obs ≤ K.pathValue v s obs := by | |
| apply Finset.sum_le_sum | |
| intro a _ | |
| apply mul_le_mul' le_rfl | |
| split | |
| · exact h _ _ _ | |
| · exact K.eval_mono h _ _ _ _ _ | |
| lemma success_le_chord {Ω : Type*} [MeasurableSpace Ω] (L : Ω → Policy d M T) | |
| (ρ : Measure Ω) (π : Measure (MemoryPrecision.Kernel.Sphere d)) (ε : ℝ) : | |
| Success L ρ π ε ≤ ChordSuccess L ρ π ε := by | |
| apply lintegral_mono | |
| intro z | |
| exact (L z.2.1).pathValue_mono (fun n j s => lintegral_mono (fun v => angleTest_le_chordTest ε (s,v))) _ _ | |
| end Policy | |
| end MemoryPrecision.Kernel | |
| end | |
| end OAI | |