Download lean/OAI/Probability/LogConcave/OraclePrograms/MeanCorrect.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 14.3 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/LogConcave/OraclePrograms/MeanCorrect.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/LogConcave/OraclePrograms/MeanCorrect.lean
-
curl -L -o MeanCorrect.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/LogConcave/OraclePrograms/MeanCorrect.lean
14.3 kB
| import Mathlib | |
| import OAI.Probability.LogConcave.OraclePrograms.MeanSize | |
| import OAI.Probability.LogConcave.Sampling.LogMeshCountRate | |
| namespace OAI | |
| section | |
| noncomputable section | |
| namespace LogConcaveSampling.OracleCompiler | |
| open MeanTree MeasureTheory Quadrature | |
| open scoped Classical NNReal | |
| variable {d : ℕ} | |
| lemma MeanSize.mono {lam q q' r σ : ℝ} (h : MeanSize lam q r σ) (hq : q≤q') : | |
| MeanSize lam q' r σ := | |
| ⟨h.1,h.2.1,h.2.2.1,h.2.2.2.1.trans hq, | |
| h.2.2.2.2.trans (mul_le_mul_of_nonneg_right hq h.2.2.1.le)⟩ | |
| lemma SampleSize.mono {lam q q' r η : ℝ} (h : SampleSize lam q r η) (hq : q≤q') : | |
| SampleSize lam q' r η := | |
| ⟨h.1,h.2.1,h.2.2.1,h.2.2.2.1, | |
| h.2.2.2.2.trans (mul_le_mul_of_nonneg_right hq h.2.2.1.le)⟩ | |
| lemma final_mean_size {lam q r σ R Af : ℝ} (hlam : 0≤lam) | |
| (h : MeanSize lam q r σ) (hR : 0<R) (hR1 : R≤1) (hAf : 0<Af) : | |
| MeanSize lam ((1+4*Af)*R*q) (r*R) (declaredNoise (Real.sqrt 3*σ/2) Af) := by | |
| have hr := h.1 | |
| have hσ := h.2.2.1 | |
| have hq := h.nonneg hlam | |
| have hroot : 1≤Real.sqrt 3 := by norm_num | |
| have hn : 0<declaredNoise (Real.sqrt 3*σ/2) Af := by unfold declaredNoise; positivity | |
| have hrR : r*R≤r := mul_le_of_le_one_right h.1.le hR1 | |
| have hR2 : R^2≤R := by nlinarith | |
| have hsq := mul_le_mul_of_nonneg_right h.2.2.2.1 (sq_nonneg R) | |
| have hqR := mul_le_mul_of_nonneg_left hR2 hq | |
| have hAfR : R*q≤(1+4*Af)*R*q := by nlinarith [mul_nonneg hR.le hq] | |
| refine ⟨mul_pos h.1 hR,hrR.trans h.2.1,hn,?_,?_⟩ | |
| · nlinarith [hsq] | |
| · have hσ : σ/(4*Af)≤declaredNoise (Real.sqrt 3*σ/2) Af := by | |
| unfold declaredNoise | |
| have hh := mul_le_mul_of_nonneg_right hroot h.2.2.1.le | |
| apply (le_div_iff₀ (by positivity : 0<2*Af)).2 | |
| calc | |
| σ/(4*Af)*(2*Af)=σ/2 := by field_simp; ring | |
| _≤Real.sqrt 3*σ/2 := by linarith | |
| have hs := mul_le_mul_of_nonneg_right h.2.2.2.2 hR.le | |
| have ht := mul_le_mul_of_nonneg_left hσ (show 0≤4*Af*R*q by positivity) | |
| have hid : (4*Af*R*q)*(σ/(4*Af))=q*σ*R := by field_simp | |
| rw [hid] at ht | |
| have he : 4*Af*R*q≤(1+4*Af)*R*q := by nlinarith [mul_nonneg hR.le hq] | |
| have hh := mul_le_mul_of_nonneg_right he hn.le | |
| nlinarith | |
| lemma final_sample_size {lam q r η r' Af : ℝ} (hlam : 0≤lam) | |
| (h : SampleSize lam q r η) (hr' : 0<r') (hhi : r'≤r) (hAf : 0<Af) : | |
| MeanSize lam ((1+4*Af)*q) r' (declaredNoise (η/Real.sqrt 2) (Af*r)) := by | |
| have hr := h.1 | |
| have hη0 := h.2.2.1 | |
| have hq := h.nonneg hlam | |
| have hs2 : 0<Real.sqrt 2 := by positivity | |
| have hs21 : Real.sqrt 2≤2 := by norm_num | |
| have hn : 0<declaredNoise (η/Real.sqrt 2) (Af*r) := by unfold declaredNoise; positivity | |
| have hl : lam*r^2≤q := h.2.2.2.2.trans (mul_le_of_le_one_right hq h.2.2.2.1) | |
| have hqf : q≤(1+4*Af)*q := by nlinarith | |
| refine ⟨hr',hhi.trans h.2.1,hn,?_,?_⟩ | |
| · exact (mul_le_mul_of_nonneg_left (pow_le_pow_left₀ hr'.le hhi 2) hlam).trans (hl.trans hqf) | |
| · have hη : η/(4*Af*r)≤declaredNoise (η/Real.sqrt 2) (Af*r) := by | |
| unfold declaredNoise | |
| apply (le_div_iff₀ (by positivity : 0<2*(Af*r))).2 | |
| calc | |
| η/(4*Af*r)*(2*(Af*r))=η/2 := by field_simp [hr.ne']; ring | |
| _≤η/Real.sqrt 2 := div_le_div_of_nonneg_left h.2.2.1.le hs2 hs21 | |
| have hh := mul_le_mul_of_nonneg_right hη (show 0≤4*Af*q by positivity) | |
| have hid : (η/(4*Af*r))*(4*Af*q)=q*η/r := by field_simp | |
| rw [hid] at hh | |
| have hs : lam*r≤q*η/r := (le_div_iff₀ h.1).2 (by nlinarith [h.2.2.2.2]) | |
| have hm := mul_le_mul_of_nonneg_left hhi hlam | |
| have he := mul_le_mul_of_nonneg_right (show 4*Af*q≤(1+4*Af)*q by nlinarith) hn.le | |
| nlinarith | |
| namespace CircuitParameters | |
| variable (C : CircuitParameters) | |
| lemma residual_pos : 0<Real.sqrt (1-C.T^2) := by | |
| apply Real.sqrt_pos.mpr | |
| nlinarith [C.T_lower,C.T_upper] | |
| lemma residual_le_one : Real.sqrt (1-C.T^2)≤1 := by | |
| apply (Real.sqrt_le_iff).mpr | |
| exact ⟨by norm_num,by nlinarith [sq_nonneg C.T]⟩ | |
| theorem meanTree_valid {lam q r σ : ℝ} (hlam : 0≤lam) (hs : MeanSize lam q r σ) | |
| (hD : 0<C.D) (hψ : 0≤C.ψ) (hA : C.A=C.actualA) (hAf : C.Af=C.actualAf) : | |
| DeclaredRootValid C.D (C.meanCenterBudget r σ) C.Af | |
| (MeanSize lam ((1+4*C.Af)*Real.sqrt (1-C.T^2)*q)) | |
| (MeanSize lam (q*(1+16*C.D*C.A/Real.sqrt (1-C.T^2)))) | |
| (C.meanTree (d:=d) r σ) (Real.sqrt 3*σ/2) := by | |
| have hA0 : 0<C.A := hA ▸ C.actualA_pos | |
| have hAf0 : 0<C.Af := hAf ▸ C.actualAf_pos | |
| have hr := hs.1 | |
| have hσ := hs.2.2.1 | |
| have hb : 0<C.meanCenterBudget r σ := by unfold meanCenterBudget; positivity | |
| have hR := C.residual_pos | |
| have hq := hs.nonneg hlam | |
| have hw := C.meanTree_actual_weights (d:=d) hs.1 hs.2.2.1 hψ | |
| rw [←hA,←hAf] at hw | |
| have hg := (literalMean_geometry (d:=d) (r:=r) (σ:=σ) (N:=C.N) (nc:=C.nc) (Nc:=C.Nc) | |
| (by linarith [C.T_lower]) C.T_upper C.h_pos C.v_nonneg C.angle_bound C.meanEndpoint).2 | |
| apply declaredRootValid_of_radius_bounds hD (mul_pos hs.1 hR) _ _ _ (by positivity) hw.1 hw.2 | |
| · exact centers_mono _ (fun r' b h => h.radius hs.1.le (by linarith [C.T_lower]) C.T_upper) hg | |
| · have hf := meanCircuit_final_radius (d:=d) r C.T C.h C.ψ (σ/2) C.n C.m C.N C.nc C.Nc C.meanEndpoint | |
| (anchor Prod.fst (by fun_prop)) (anchor (fun z : MeanInput d => z.2.1) (by fun_prop)) | |
| (fun z : MeanInput d => z.2.2) (by fun_prop) | |
| cases he : C.meanTree (d:=d) r σ with | node k b hb a rr cc => | |
| change ∀i, MeanSize _ _ (rr i) _ | |
| have hf' : ∀i,rr i=r*Real.sqrt (1-C.T^2) := by | |
| change rootScales (fun r' => r'=r*Real.sqrt (1-C.T^2)) (C.meanTree r σ) at hf | |
| rw [he] at hf | |
| exact hf | |
| intro i | |
| rw [hf' i] | |
| exact final_mean_size hlam hs hR C.residual_le_one hAf0 | |
| · intro r' n hlo hhi hn _ | |
| apply (internal_meanSize hlam hq hs.1 hs.2.1 hR hD hb hs.2.2.2.1 hlo hhi hn).mono | |
| have hsmall := C.meanCenterBudget_small hs hA0.le | |
| have hh := mul_le_mul_of_nonneg_left hsmall (show 0≤4*C.D/Real.sqrt (1-C.T^2) by positivity) | |
| have hx : 0≤C.D*C.A*q/Real.sqrt (1-C.T^2) := by positivity | |
| nlinarith [show (4*C.D/Real.sqrt (1-C.T^2))*(lam*C.meanCenterBudget r σ)= | |
| 4*C.D*lam*C.meanCenterBudget r σ/Real.sqrt (1-C.T^2) by ring, | |
| show (4*C.D/Real.sqrt (1-C.T^2))*(2*C.A*q)=8*(C.D*C.A*q/Real.sqrt (1-C.T^2)) by ring, | |
| show q*(1+16*C.D*C.A/Real.sqrt (1-C.T^2))=q+16*(C.D*C.A*q/Real.sqrt (1-C.T^2)) by ring] | |
| theorem sampleTree_valid {lam q r η R : ℝ} (hlam : 0≤lam) (hs : SampleSize lam q r η) | |
| (hR : 0<R) (hRη : R≤η) (hD : 0<C.D) | |
| (hA : C.A=C.actualA) (hAf : C.Af=C.actualAf) : | |
| DeclaredRootValid C.D (C.sampleCenterBudget r) (C.sampleFinalBudget r) | |
| (MeanSize lam ((1+4*C.Af)*q)) | |
| (MeanSize lam (q*(1+16*C.D*C.A/R))) | |
| (C.sampleTree (d:=d) r η hs.2.2.1 hs.2.2.2.1) (η/Real.sqrt 2) := by | |
| have hA0 : 0<C.A := hA ▸ C.actualA_pos | |
| have hAf0 : 0<C.Af := hAf ▸ C.actualAf_pos | |
| have hr := hs.1 | |
| have hη := hs.2.2.1 | |
| have hq := hs.nonneg hlam | |
| have hb : 0<C.sampleCenterBudget r := by unfold sampleCenterBudget; positivity | |
| have hw := C.sampleTree_actual_weights (d:=d) hr hη hs.2.2.2.1 | |
| rw [←hA,←hAf] at hw | |
| have hp := sampleCorrelation_properties hη hs.2.2.2.1 | |
| have hg := (literalSample_geometry (d:=d) (r:=r) (N:=C.N) (Nat.succ_pos C.n) | |
| (by linarith [hp.1]) hp.2.1 C.h_pos (C.sampleEndpoint η hη hs.2.2.2.1)).2 | |
| have hrad : centers (fun r' (_ : SampleInput d → Point d) => r*(R/4)≤r' ∧ r'≤r) | |
| (C.sampleTree r η hη hs.2.2.2.1) := by | |
| apply centers_mono _ (fun r' b h => ?_) hg | |
| have hh := h.radius hr.le (by linarith [hp.1]) hp.2.1 | |
| have hlow := sampleCorrelation_radius_lower hη hs.2.2.2.1 | |
| exact ⟨(mul_le_mul_of_nonneg_left (by linarith : R/4≤Real.sqrt (1-(sampleCorrelation η)^2)) hr.le).trans hh.1,hh.2⟩ | |
| have hfinal : rootScales (fun r' => MeanSize lam ((1+4*C.Af)*q) r' | |
| (declaredNoise (η/Real.sqrt 2) (C.sampleFinalBudget r))) | |
| (C.sampleTree (d:=d) r η hη hs.2.2.2.1) := by | |
| cases he : C.sampleTree (d:=d) r η hη hs.2.2.2.1 with | node k b hb a rr cc => | |
| rw [he] at hrad | |
| intro i | |
| exact final_sample_size hlam hs ((by positivity : 0<r*(R/4)).trans_le (hrad i).1.1) | |
| (hrad i).1.2 hAf0 | |
| apply declaredRootValid_of_radius_bounds hD (by positivity : 0<r*(R/4)) _ _ _ | |
| (by positivity) hw.1 hw.2 hrad hfinal | |
| intro r' n hlo hhi hn _ | |
| have hl : lam*r^2≤q := hs.2.2.2.2.trans (mul_le_of_le_one_right hq hs.2.2.2.1) | |
| apply (internal_meanSize hlam hq hr hs.2.1 (by positivity : 0<R/4) hD hb hl hlo hhi hn).mono | |
| have hsml := C.sampleCenterBudget_small hlam hs hA0.le | |
| have hh := mul_le_mul_of_nonneg_left hsml (show 0≤16*C.D/R by positivity) | |
| calc | |
| q+4*C.D*lam*C.sampleCenterBudget r/(R/4) | |
| = q+(16*C.D/R)*(lam*C.sampleCenterBudget r) := by ring | |
| _≤q+(16*C.D/R)*(C.A*q) := add_le_add le_rfl hh | |
| _=q*(1+16*C.D*C.A/R) := by ring | |
| lemma mean_anchor_size {lam q r σ : ℝ} (hlam : 0≤lam) (hs : MeanSize lam q r σ) | |
| (hRT : Real.sqrt (1-C.T^2)≤C.T) : | |
| SampleSize lam (q/Real.sqrt (1-C.T^2)) r (Real.sqrt (1-C.T^2)/C.T) := by | |
| have hT : 0<C.T := by linarith [C.T_lower] | |
| have hR := C.residual_pos | |
| have hq := hs.nonneg hlam | |
| refine ⟨hs.1,hs.2.1,div_pos hR hT,(div_le_one hT).2 hRT,?_⟩ | |
| calc | |
| lam*r^2≤q := hs.2.2.2.1 | |
| _≤q/C.T := (le_div_iff₀ hT).2 (mul_le_of_le_one_right hq C.T_upper.le) | |
| _=(q/Real.sqrt (1-C.T^2))*(Real.sqrt (1-C.T^2)/C.T) := by field_simp | |
| end CircuitParameters | |
| end LogConcaveSampling.OracleCompiler | |
| end | |
| end | |
| section | |
| noncomputable section | |
| namespace LogConcaveSampling.OracleCompiler | |
| open MeasureTheory ProbabilityTheory Coupling | |
| open scoped Classical NNReal | |
| variable {d : ℕ} | |
| structure MeanCorrect (F : Point d → ℝ) (lam q K e : ℝ) | |
| (M : ℝ → ℝ → SeedProgram d) : Prop where | |
| lip : ∀r σ,MeanSize lam q r σ → ∀x y g, | |
| ‖(M r σ).program.run F (x,g)-(M r σ).program.run F (y,g)‖≤lam*K*‖x-y‖ | |
| error : ∀r σ,MeanSize lam q r σ → ∀x, | |
| SquaredAt (gaussianTape d (M r σ).slots) (stdGaussian (Point d)) | |
| (fun g => (M r σ).program.run F (x,g)) | |
| (fun g => primitiveExpectedField F x r+σ • g) (σ^2*e^2*(circuitD F x)^2) | |
| structure SampleCorrect (F : Point d → ℝ) (lam q K e : ℝ) (ηmin : ℝ) | |
| (S : ℝ → ℝ → ReservedProgram d) : Prop where | |
| lip : ∀r η,SampleSize lam q r η → ηmin≤η → ∀x y g, | |
| ‖(S r η).pre.run F (x,g)-(S r η).pre.run F (y,g)‖≤lam*r*K*‖x-y‖ | |
| error : ∀r η,SampleSize lam q r η → ηmin≤η → ∀x, | |
| SquaredAt (gaussianTape d (S r η).slots) | |
| ((gibbs (primitivePotential F x r)).prod (stdGaussian (Point d))) | |
| (fun g => (S r η).pre.run F (x,g)) | |
| (fun z => z.1+(Real.sqrt 3*η/2) • z.2) (e^2*(circuitD F x)^2) | |
| lemma primitive_terminal_envelope (F : Point d → ℝ) (x : Point d) {r c : ℝ} | |
| (hr : 0≤r) (hr1 : r≤1) (hc : 0≤c) : | |
| 2*(Real.pi*Real.sqrt d+c*r*‖primitiveField F x r 0‖)^2+2*d≤ | |
| (2*(Real.pi+c)^2+2)*(circuitD F x)^2 := by | |
| rw [field_zero_eq_gradient] | |
| have hs := sqrt_le_circuitD F x | |
| have hg : ‖gradient F x‖≤circuitD F x := le_add_of_nonneg_left (Real.sqrt_nonneg _) | |
| have hcr := mul_le_mul_of_nonneg_left hr1 hc | |
| have hcg := mul_le_mul_of_nonneg_left hg hc | |
| have hrG := mul_le_mul_of_nonneg_right hcr (norm_nonneg (gradient F x)) | |
| have hp := mul_le_mul_of_nonneg_left hs Real.pi_pos.le | |
| have hu : Real.pi*Real.sqrt d+c*r*‖gradient F x‖≤(Real.pi+c)*circuitD F x := by nlinarith | |
| have hu2 := pow_le_pow_left₀ (show 0≤Real.pi*Real.sqrt d+c*r*‖gradient F x‖ by positivity) hu 2 | |
| have hd2 := pow_le_pow_left₀ (Real.sqrt_nonneg (d:ℝ)) hs 2 | |
| rw [Real.sq_sqrt (Nat.cast_nonneg d)] at hd2 | |
| nlinarith | |
| lemma terminalMean_correct {F : Point d → ℝ} {lam : ℝ≥0} (hF : Primitive F lam) | |
| {q : ℝ} (hq : q≤1/2) : | |
| MeanCorrect F lam q 1 ((4*(Real.pi+2))*q) (terminalMeanProgram d) := by | |
| constructor | |
| · intro r σ hs x y g | |
| change ‖(SeedCompiler.terminalMean d r σ).run F (x,g)- | |
| (SeedCompiler.terminalMean d r σ).run F (y,g)‖≤(lam:ℝ)*1*‖x-y‖ | |
| simp only [mul_one] | |
| exact (SeedCompiler.terminalMean_fixedSeed_lip hF.gradient_lipschitz r σ g).norm_sub_le x y | |
| · intro r σ hs x | |
| apply (terminalMeanProgram_squared hF x hs.1.le (hs.2.2.2.1.trans hq) σ).mono | |
| have hb := primitive_terminal_envelope F x hs.1.le hs.2.1 (c:=1) (by norm_num) | |
| simp only [one_mul] at hb | |
| have hq0 := hs.nonneg lam.coe_nonneg | |
| have hr := hs.1 | |
| have hsq := pow_le_pow_left₀ (show 0≤(lam:ℝ)*r by positivity) hs.2.2.2.2 2 | |
| have hm := mul_le_mul_of_nonneg_left hb (sq_nonneg (2*((lam:ℝ)*r))) | |
| have hc : 4*(2*(Real.pi+1)^2+2)≤(4*(Real.pi+2))^2 := by nlinarith [Real.pi_pos] | |
| have h₁ := mul_le_mul_of_nonneg_right hsq (show 0≤4*(2*(Real.pi+1)^2+2)*(circuitD F x)^2 by positivity) | |
| have h₂ := mul_le_mul_of_nonneg_right hc (show 0≤(q*σ)^2*(circuitD F x)^2 by positivity) | |
| nlinarith | |
| lemma terminalSample_correct {F : Point d → ℝ} {lam : ℝ≥0} (hF : Primitive F lam) | |
| {q : ℝ} (hq : q≤1/2) (ηmin : ℝ) : | |
| SampleCorrect F lam q 1 ((2*terminalTransportConstant*(Real.pi+3))*q) ηmin | |
| (terminalReservedProgram d) := by | |
| constructor | |
| · intro r η hs _ x y g | |
| have hh := terminalReservedProgram_lipschitz r η hF x y g | |
| rw [abs_of_pos hs.1] at hh | |
| simpa only [mul_one,mul_comm r (lam:ℝ)] using hh | |
| · intro r η hs _ x | |
| have hq0 := hs.nonneg lam.coe_nonneg | |
| have hl : (lam:ℝ)*r^2≤q := hs.2.2.2.2.trans | |
| (mul_le_of_le_one_right hq0 hs.2.2.2.1) | |
| apply (terminalReservedProgram_squared hF x hs.1.le (hl.trans hq) η).mono | |
| have hb := primitive_terminal_envelope F x hs.1.le hs.2.1 (c:=2) (by norm_num) | |
| have hsq := pow_le_pow_left₀ (show 0≤(lam:ℝ)*r^2 by positivity) hl 2 | |
| have hm := mul_le_mul_of_nonneg_left hb (sq_nonneg (terminalTransportConstant*((lam:ℝ)*r^2))) | |
| have hc : 2*(Real.pi+2)^2+2≤(2*(Real.pi+3))^2 := by nlinarith [Real.pi_pos] | |
| have h₁ := mul_le_mul_of_nonneg_right hsq (show 0≤terminalTransportConstant^2*(2*(Real.pi+2)^2+2)*(circuitD F x)^2 by positivity) | |
| have h₂ := mul_le_mul_of_nonneg_right hc (show 0≤terminalTransportConstant^2*q^2*(circuitD F x)^2 by positivity) | |
| nlinarith | |
| end LogConcaveSampling.OracleCompiler | |
| end | |
| end | |
| end OAI | |