Download lean/OAI/Probability/SKBarriers/Gaussian/ExponentialGrowth.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/SKBarriers/Gaussian/ExponentialGrowth.lean
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hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/SKBarriers/Gaussian/ExponentialGrowth.lean
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curl -L -o ExponentialGrowth.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/SKBarriers/Gaussian/ExponentialGrowth.lean
2.69 kB
| import Mathlib | |
| import OAI.Probability.SKBarriers.Gaussian.GaussianDomination | |
| namespace OAI | |
| section | |
| section | |
| noncomputable section | |
| open scoped BigOperators Topology | |
| open MeasureTheory ProbabilityTheory Filter | |
| noncomputable section | |
| open MeasureTheory Set Filter | |
| open scoped Topology Interval | |
| noncomputable section | |
| open MeasureTheory Set | |
| open scoped Interval | |
| noncomputable section | |
| open MeasureTheory Set Filter ProbabilityTheory | |
| open scoped Topology | |
| namespace SK.Analytic | |
| section TwiceDifferentiable | |
| variable {E F : Type} [NormedAddCommGroup E] [NormedSpace ℝ E] | |
| [NormedAddCommGroup F] [NormedSpace ℝ F] [CompleteSpace F] | |
| omit [CompleteSpace F] in | |
| theorem contDiff_two_gaussian_integral (f : E × ℝ → F) | |
| (f₁ : E × ℝ → E →L[ℝ] F) (f₂ : E × ℝ → E →L[ℝ] E →L[ℝ] F) | |
| (hf : Continuous f) (hf₁ : Continuous f₁) (hf₂ : Continuous f₂) | |
| (hg : HasExpGrowth f) (hg₁ : HasExpGrowth f₁) (hg₂ : HasExpGrowth f₂) | |
| (hd : ∀ x y, HasFDerivAt (fun z => f (z,y)) (f₁ (x,y)) x) | |
| (hd₁ : ∀ x y, HasFDerivAt (fun z => f₁ (z,y)) (f₂ (x,y)) x) : | |
| ContDiff ℝ 2 (fun x => ∫ y, f (x,y) ∂gaussianReal 0 1) := by | |
| have hc₁ : ContDiff ℝ 1 (fun x => ∫ y, f₁ (x,y) ∂gaussianReal 0 1) := by | |
| apply (contDiff_succ_iff_hasFDerivAt (n := 0)).mpr | |
| refine ⟨fun x => ∫ y, f₂ (x,y) ∂gaussianReal 0 1, ?_, ?_⟩ | |
| · exact contDiff_zero.mpr (hg₂.continuous_gaussian_integral hf₂) | |
| · exact hasFDerivAt_gaussian_integral f₁ f₂ hf₁ hf₂ hg₁ hg₂ hd₁ | |
| apply (contDiff_succ_iff_hasFDerivAt (n := 1)).mpr | |
| exact ⟨_, hc₁, hasFDerivAt_gaussian_integral f f₁ hf hf₁ hg hg₁ hd⟩ | |
| end TwiceDifferentiable | |
| section GrowthAlgebra | |
| variable {E F G : Type} [Norm E] [Norm F] [Norm G] | |
| theorem HasExpGrowth.congr_bound {f : E → F} (hf : HasExpGrowth f) | |
| {g : E → G} {K : ℝ} (hK : 0 ≤ K) (hg : ∀ z, ‖g z‖ ≤ K*‖f z‖) : HasExpGrowth g := by | |
| obtain ⟨C,M,hC,hM,hf⟩ := hf | |
| refine ⟨K*C,M,mul_nonneg hK hC,hM,?_⟩ | |
| intro z | |
| exact (hg z).trans ((mul_le_mul_of_nonneg_left (hf z) hK).trans_eq (mul_assoc _ _ _).symm) | |
| theorem HasExpGrowth.of_bounded {f : E → F} {C : ℝ} (hC : 0 ≤ C) | |
| (hf : ∀ z, ‖f z‖ ≤ C) : HasExpGrowth f := by | |
| refine ⟨C,0,hC,le_rfl,?_⟩ | |
| simpa only [zero_mul, Real.exp_zero, mul_one] using hf | |
| theorem HasExpGrowth.norm {f : E → F} (hf : HasExpGrowth f) (hn : ∀ x, 0 ≤ ‖f x‖) : | |
| HasExpGrowth (fun x => ‖f x‖) := by | |
| obtain ⟨C,M,hC,hM,hf⟩ := hf | |
| refine ⟨C,M,hC,hM,?_⟩ | |
| intro x | |
| simpa only [Real.norm_eq_abs, abs_of_nonneg (hn x)] using hf x | |
| end GrowthAlgebra | |
| end SK.Analytic | |
| end | |
| end | |
| end | |
| end | |
| end | |
| end | |
| end OAI | |