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| import Mathlib | |
| import OAI.Probability.SKGap.Localization.Bilinear2 | |
| import OAI.Probability.SKGap.Matrix.RegularizedLogDet | |
| import OAI.Probability.SKGap.Brownian.LogDetPath | |
| namespace OAI | |
| section | |
| noncomputable section | |
| namespace SKGap | |
| open Matrix MeasureTheory ProbabilityTheory Real Set | |
| open RealComplex | |
| open scoped BigOperators Matrix.Norms.Frobenius SchwartzMap | |
| variable {ι : Type*} [Fintype ι] [DecidableEq ι] | |
| def logPathGood (R lo hi q : ℝ) (a : ι → ℝ) : Set (Matrix ι ι ℝ) := | |
| {M | opNorm M ≤ R ∧ ∀ z ∈ Icc (0:ℝ) 1, | |
| lo ≤ ComplexSpectral.lowerRayleigh (liftMatrix (1-pathDiagonal a z*(M-pathShift z q)*pathDiagonal a z)) ∧ | |
| -hi ≤ ComplexSpectral.lowerRayleigh (-liftMatrix (1-pathDiagonal a z*(M-pathShift z q)*pathDiagonal a z))} | |
| lemma logPathGood_isClosed (R lo hi q : ℝ) (a : ι → ℝ) : | |
| IsClosed (logPathGood R lo hi q a) := by | |
| have hc (z : ℝ) : Continuous (fun M : Matrix ι ι ℝ => liftMatrix (1-pathDiagonal a z*(M-pathShift z q)*pathDiagonal a z)) := by | |
| dsimp only [liftMatrix]; fun_prop | |
| have hl (z : ℝ) := isClosed_le (continuous_const (y := lo)) (ComplexSpectral.continuous_lowerRayleigh.comp (hc z)) | |
| have hu (z : ℝ) := isClosed_le (continuous_const (y := -hi)) (ComplexSpectral.continuous_lowerRayleigh.comp (hc z).neg) | |
| change IsClosed ({M | opNorm M ≤ R} ∩ {M | ∀ z ∈ Icc (0:ℝ) 1, _}) | |
| apply (isClosed_le continuous_realOpNorm continuous_const).inter | |
| simp only [ofPred_forall] | |
| exact isClosed_iInter (fun z => isClosed_iInter (fun _ => (hl z).inter (hu z))) | |
| lemma logPathGood_exponential [Nonempty ι] {j A : ℝ} {a : ι → ℝ} | |
| (hj : 0 < j) (hA : 0 < A) (ha : ∀ i, 0 ≤ a i) (haA : ∀ i, a i ≤ A) | |
| (hs : sqrt j*A < 1) | |
| (herr : 2*sqrt A*sqrt (sqrt (2*j^2*A^2/(Fintype.card ι:ℝ))) ≤ (1-sqrt j*A)^2/4) : | |
| (Measure.pi (fun _ : MatrixCoordinates ι => gaussianReal 0 1)).real | |
| {g | goeMatrix (j/(Fintype.card ι:ℝ)) g ∉ | |
| logPathGood (2*sqrt j+1+1) ((1-sqrt j*A)^2/4) (2+A*(2*sqrt j+1+j*A)) | |
| ((j/(Fintype.card ι:ℝ))*∑ b,a b) a} ≤ 3*Real.exp (-pathRate j A*(Fintype.card ι:ℝ)) := by | |
| apply (measureReal_mono (s₂ := {g | ∃ z ∈ Icc (0:ℝ) 1, g ∉ truncationGoodSet (j/(Fintype.card ι:ℝ)) | |
| (2*sqrt j+1+1) ((1-sqrt j*A)^2/4) (2+A*(2*sqrt j+1+j*A)) | |
| (pathDiagonal a z) (pathShift z ((j/(Fintype.card ι:ℝ))*∑ b,a b))}) ?_ (measure_ne_top _ _)).trans | |
| (path_all_good_exponential hj hA ha haA hs herr) | |
| intro g hg | |
| by_contra hcontra | |
| change ¬(∃ z ∈ Icc (0:ℝ) 1, _) at hcontra | |
| push Not at hcontra | |
| apply hg | |
| constructor | |
| · exact (hcontra 0 (by constructor <;> norm_num)).1.le | |
| · intro z hz | |
| exact ⟨(hcontra z hz).2.1.le,(hcontra z hz).2.2.le⟩ | |
| lemma logdetPath_integral [Nonempty ι] (f : 𝓢(ℝ,ℂ)) {lo hi : ℝ} (hlo : 0 < lo) | |
| (hf : ∀ x ∈ Icc lo hi, f x=(x:ℂ)⁻¹) {R : ℝ} (hR : 0 ≤ R) | |
| (j : ℝ) {a : ι → ℝ} (ha : ∀ i, 0 ≤ a i) (M : Matrix ι ι ℝ) (hM : Mᵀ=M) | |
| (hg : M ∈ logPathGood R lo hi ((j/(Fintype.card ι:ℝ))*∑ b,a b) a) : | |
| (∫ z in (0:ℝ)..1, logPathCutoffDerivative f R hR j a M z)= | |
| log (logPath ((j/(Fintype.card ι:ℝ))*∑ b,a b) a M 1).det/(Fintype.card ι:ℝ) := by | |
| have hc : Continuous (fun z => logPathCutoffDerivative f R hR j a M z) := | |
| (continuous_logPathCutoffDerivative f hR j a).comp (continuous_id.prodMk continuous_const) | |
| have hh := intervalIntegral.integral_eq_sub_of_hasDerivAt | |
| (f := fun z => log (logPath ((j/(Fintype.card ι:ℝ))*∑ b,a b) a M z).det/(Fintype.card ι:ℝ)) | |
| (f' := fun z => logPathCutoffDerivative f R hR j a M z) | |
| (fun z hz => ?_) (hc.intervalIntegrable 0 1) | |
| · simpa only [logPath,zero_pow (by norm_num : 2 ≠ 0),zero_mul,zero_smul,add_zero, | |
| sub_zero,Matrix.det_one,log_one,zero_div] using hh | |
| · have hz' : z ∈ Icc (0:ℝ) 1 := by simpa only [uIcc_of_le (by norm_num : (0:ℝ)≤1)] using hz | |
| obtain ⟨hunit,hagree⟩ := pathK_agrees_at f hlo hf hR j ha hz'.1 M hM hg.1 (hg.2 z hz').1 (hg.2 z hz').2 | |
| have hd := (LogDet.hasDerivAt_logdet (hasDerivAt_logPath ((j/(Fintype.card ι:ℝ))*∑ b,a b) a M z) hunit).div_const (Fintype.card ι:ℝ) | |
| rw [logPath_trace_derivative,← hagree] at hd | |
| simpa only [logPathCutoffDerivative,realProject_eq_self hR M hM hg.1] using hd | |
| lemma trace_abs_le_card_opNorm (M : Matrix ι ι ℝ) : |M.trace| ≤ (Fintype.card ι:ℝ)*opNorm M := by | |
| unfold Matrix.trace Matrix.diag | |
| exact (Finset.abs_sum_le_sum_abs _ _).trans (by simpa only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul] using Finset.sum_le_sum (s := Finset.univ) (fun i _ => matrix_entry_le_opNorm M i i)) | |
| lemma logPathCutoffDerivative_bound [Nonempty ι] (f : 𝓢(ℝ,ℂ)) {R j : ℝ} (hR : 0 ≤ R) (hj : 0 ≤ j) | |
| {a : ι → ℝ} (ha : ∀ i, 0 ≤ a i) (haA : ∀ i, a i ≤ 1) {z : ℝ} (hz : z ∈ Icc (0:ℝ) 1) | |
| (M : Matrix ι ι ℝ) : | |
| |logPathCutoffDerivative f R hR j a M z| ≤ (2*j+R)*pathBound f R j 1 := by | |
| have hn : (0:ℝ) < Fintype.card ι := Nat.cast_pos.mpr Fintype.card_pos | |
| have hB := (path_constants_nonneg f hR hj (by norm_num : (0:ℝ)≤1)).1 | |
| have hq := diagonal_mean_bounds hj ha haA | |
| simp only [mul_one] at hq | |
| have hK := (pathK_bounds f hR hj (by norm_num : (0:ℝ)≤1) ha haA hz).1 M | |
| have hD : opNorm (diagonal a) ≤ 1 := opNorm_diagonal_le (by norm_num) (fun i => by rw [abs_of_nonneg (ha i)]; exact haA i) | |
| have hKD : opNorm (pathK f R hR j a z M*diagonal a) ≤ pathBound f R j 1 := | |
| (opNorm_mul _ _).trans (by simpa only [mul_one] using mul_le_mul hK hD (norm_nonneg _) hB) | |
| have hWKD : opNorm (realProject R hR M*pathK f R hR j a z M*diagonal a) ≤ R*pathBound f R j 1 := by | |
| rw [mul_assoc] | |
| exact (opNorm_mul _ _).trans (mul_le_mul (realProject_opNorm hR M) hKD (norm_nonneg _) hR) | |
| have ht₁ := (trace_abs_le_card_opNorm _).trans (mul_le_mul_of_nonneg_left hKD hn.le) | |
| have ht₂ := (trace_abs_le_card_opNorm _).trans (mul_le_mul_of_nonneg_left hWKD hn.le) | |
| have hzq : |2*z*((j/(Fintype.card ι:ℝ))*∑ b,a b)| ≤ 2*j := by | |
| rw [abs_of_nonneg (mul_nonneg (mul_nonneg (by norm_num) hz.1) hq.1)] | |
| nlinarith [mul_le_mul hz.2 hq.2 hq.1 (by norm_num : (0:ℝ)≤1)] | |
| unfold logPathCutoffDerivative | |
| rw [abs_div,abs_of_pos hn] | |
| apply (div_le_iff₀ hn).mpr | |
| have hterm : |(2*z*((j/(Fintype.card ι:ℝ))*∑ b,a b))*(pathK f R hR j a z M*diagonal a).trace| ≤ | |
| 2*j*((Fintype.card ι:ℝ)*pathBound f R j 1) := by | |
| rw [abs_mul] | |
| exact mul_le_mul hzq ht₁ (abs_nonneg _) (by positivity) | |
| have hh := (abs_sub (2*z*((j/(Fintype.card ι:ℝ))*∑ b,a b)*(pathK f R hR j a z M*diagonal a).trace) | |
| (realProject R hR M*pathK f R hR j a z M*diagonal a).trace).trans (add_le_add hterm ht₂) | |
| exact hh.trans_eq (by ring) | |
| end SKGap | |
| end | |
| end | |
| section | |
| noncomputable section | |
| namespace SKGap | |
| open Matrix MeasureTheory ProbabilityTheory Real Set | |
| open RealComplex | |
| open scoped BigOperators Matrix.Norms.Frobenius SchwartzMap | |
| variable {ι : Type*} [Fintype ι] [DecidableEq ι] | |
| lemma frobenius_le_sum_abs (M : Matrix ι ι ℝ) : ‖M‖ ≤ ∑ i,∑ k,|M i k| := by | |
| apply (sq_le_sq₀ (norm_nonneg M) (by positivity : 0 ≤ ∑ i,∑ k,|M i k|)).mp | |
| rw [frobenius_sq] | |
| calc | |
| _ ≤ ∑ i,(∑ k,|M i k|)^2 := Finset.sum_le_sum (fun i _ => by | |
| simpa only [sq_abs] using Finset.sum_sq_le_sq_sum_of_nonneg (s := Finset.univ) (fun k _ => abs_nonneg (M i k))) | |
| _ ≤ (∑ i,∑ k,|M i k|)^2 := Finset.sum_sq_le_sq_sum_of_nonneg (fun i _ => by positivity) | |
| lemma frobenius_one : ‖(1:Matrix ι ι ℝ)‖=sqrt (Fintype.card ι:ℝ) := by | |
| have hs := LogDet.frobenius_sq_trace (1:Matrix ι ι ℝ) | |
| simp only [transpose_one,one_mul,Matrix.trace_one] at hs | |
| nlinarith [norm_nonneg (1:Matrix ι ι ℝ),sqrt_nonneg (Fintype.card ι:ℝ),sq_sqrt (Nat.cast_nonneg (Fintype.card ι))] | |
| lemma logPath_one_frobenius [Nonempty ι] {j : ℝ} (hj : 0 ≤ j) | |
| {a : ι → ℝ} (ha : ∀ i, 0 ≤ a i) (ha1 : ∀ i, a i ≤ 1) (M : Matrix ι ι ℝ) : | |
| ‖logPath ((j/(Fintype.card ι:ℝ))*∑ i,a i) a M 1‖ ≤ sqrt (Fintype.card ι:ℝ)*(1+j)+‖M‖ := by | |
| have hq := diagonal_mean_bounds hj ha ha1 | |
| simp only [mul_one] at hq | |
| have hD : opNorm (diagonal a) ≤ 1 := opNorm_diagonal_le (by norm_num) (fun i => by rw [abs_of_nonneg (ha i)]; exact ha1 i) | |
| have hDn := (LogDet.frobenius_le_sqrt_card_opNorm (diagonal a)).trans | |
| (mul_le_mul_of_nonneg_left hD (sqrt_nonneg _)) | |
| simp only [mul_one] at hDn | |
| have hDM := (frobenius_mul_le_opNorm (diagonal a) M).trans (mul_le_mul_of_nonneg_right hD (norm_nonneg M)) | |
| simp only [one_mul] at hDM | |
| simp only [logPath,one_pow,one_mul,one_smul] | |
| apply (norm_sub_le _ _).trans | |
| apply (add_le_add (norm_add_le _ _) hDM).trans | |
| rw [norm_smul,Real.norm_eq_abs,abs_of_nonneg hq.1,frobenius_one] | |
| have hh := mul_le_mul hq.2 hDn (norm_nonneg _) hj | |
| nlinarith | |
| lemma logPath_one_lipschitz {j : ℝ} {a : ι → ℝ} | |
| (ha : ∀ i, 0 ≤ a i) (ha1 : ∀ i, a i ≤ 1) : | |
| LipschitzWith 1 (fun M : Matrix ι ι ℝ => logPath ((j/(Fintype.card ι:ℝ))*∑ i,a i) a M 1) := by | |
| apply LipschitzWith.of_dist_le_mul | |
| intro M N | |
| simp only [dist_eq_norm,NNReal.coe_one,one_mul] | |
| have he : logPath ((j/(Fintype.card ι:ℝ))*∑ i,a i) a M 1- | |
| logPath ((j/(Fintype.card ι:ℝ))*∑ i,a i) a N 1= -(diagonal a*(M-N)) := by | |
| simp only [logPath,one_pow,one_mul,one_smul,Matrix.mul_sub]; abel | |
| rw [he,norm_neg] | |
| have hD : opNorm (diagonal a) ≤ 1 := opNorm_diagonal_le (by norm_num) (fun i => by rw [abs_of_nonneg (ha i)]; exact ha1 i) | |
| exact (frobenius_mul_le_opNorm _ _).trans (by simpa only [one_mul] using mul_le_mul_of_nonneg_right hD (norm_nonneg (M-N))) | |
| lemma logPath_regularized_integrable [Nonempty ι] {j γ : ℝ} (hγ : 0 < γ) | |
| {a : ι → ℝ} (ha : ∀ i, 0 ≤ a i) (ha1 : ∀ i, a i ≤ 1) : | |
| Integrable (fun g => LogDet.regularizedLogDet γ (logPath ((j/(Fintype.card ι:ℝ))*∑ i,a i) a | |
| (goeMatrix (j/(Fintype.card ι:ℝ)) g) 1)) | |
| (Measure.pi (fun _ : MatrixCoordinates ι => gaussianReal 0 1)) := by | |
| have hF : LipschitzWith ⟨1/sqrt ((Fintype.card ι:ℝ)*γ),by positivity⟩ (LogDet.regularizedLogDet γ : Matrix ι ι ℝ → ℝ) := by | |
| apply LipschitzWith.of_dist_le_mul | |
| intro M N | |
| change |LogDet.regularizedLogDet γ M-LogDet.regularizedLogDet γ N| ≤ (1/sqrt ((Fintype.card ι:ℝ)*γ))*‖M-N‖ | |
| exact LogDet.regularizedLogDet_lipschitz hγ M N | |
| exact gaussianProduct_integrable_lipschitz (hF.comp ((logPath_one_lipschitz ha ha1).comp (goeMatrix_L2_lipschitz _))) | |
| lemma logPath_regularized_rare [Nonempty ι] {j γ : ℝ} (hj : 0 ≤ j) (hγ : 0 < γ) | |
| {a : ι → ℝ} (ha : ∀ i, 0 ≤ a i) (ha1 : ∀ i, a i ≤ 1) | |
| {s : Set (MatrixCoordinates ι → ℝ)} (hs : MeasurableSet s) : | |
| (∫ g in s, |LogDet.regularizedLogDet γ (logPath ((j/(Fintype.card ι:ℝ))*∑ i,a i) a | |
| (goeMatrix (j/(Fintype.card ι:ℝ)) g) 1)| | |
| ∂Measure.pi (fun _ : MatrixCoordinates ι => gaussianReal 0 1)) ≤ | |
| (|log γ|+sqrt (Fintype.card ι:ℝ)*(1+j)/sqrt ((Fintype.card ι:ℝ)*γ))* | |
| (Measure.pi (fun _ : MatrixCoordinates ι => gaussianReal 0 1)).real s+ | |
| (Fintype.card ι:ℝ)^2*sqrt (2*j/(Fintype.card ι:ℝ))/sqrt ((Fintype.card ι:ℝ)*γ)* | |
| sqrt ((Measure.pi (fun _ : MatrixCoordinates ι => gaussianReal 0 1)).real s) := by | |
| let μ := Measure.pi (fun _ : MatrixCoordinates ι => gaussianReal 0 1) | |
| let r := j/(Fintype.card ι:ℝ) | |
| have hentry (i k : ι) : Integrable (fun g => |goeMatrix r g i k|) μ := | |
| ((goeEntry_memLp r i k).integrable (by norm_num)).abs | |
| have hsum : Integrable (fun g => ∑ i,∑ k,|goeMatrix r g i k|) μ := | |
| integrable_finsetSum _ (fun i _ => integrable_finsetSum _ (fun k _ => hentry i k)) | |
| have hpoint (g) : |LogDet.regularizedLogDet γ (logPath ((j/(Fintype.card ι:ℝ))*∑ i,a i) a (goeMatrix r g) 1)| ≤ | |
| (|log γ|+sqrt (Fintype.card ι:ℝ)*(1+j)/sqrt ((Fintype.card ι:ℝ)*γ))+ | |
| (∑ i,∑ k,|goeMatrix r g i k|)/sqrt ((Fintype.card ι:ℝ)*γ) := by | |
| apply (LogDet.regularizedLogDet_abs hγ _).trans | |
| have hh := (logPath_one_frobenius hj ha ha1 (goeMatrix r g)).trans (add_le_add_right (frobenius_le_sum_abs _) _) | |
| have ht := add_le_add_right (div_le_div_of_nonneg_right hh (sqrt_nonneg ((Fintype.card ι:ℝ)*γ))) |log γ| | |
| exact ht.trans_eq (by ring) | |
| have hm := integral_mono (μ := μ.restrict s) (logPath_regularized_integrable hγ ha ha1).abs.integrableOn | |
| ((integrable_const _).add (hsum.div_const _)).integrableOn hpoint | |
| simp only [Pi.add_apply] at hm | |
| rw [integral_add (integrable_const (|log γ|+sqrt (Fintype.card ι:ℝ)*(1+j)/sqrt ((Fintype.card ι:ℝ)*γ))) | |
| (hsum.div_const (sqrt ((Fintype.card ι:ℝ)*γ))).integrableOn,integral_const,smul_eq_mul, | |
| measureReal_restrict_apply_univ,integral_div] at hm | |
| have hsumle : (∫ g in s, (∑ i,∑ k,|goeMatrix r g i k|) ∂μ) ≤ | |
| (Fintype.card ι:ℝ)^2*sqrt (2*j/(Fintype.card ι:ℝ))*sqrt (μ.real s) := by | |
| rw [integral_finsetSum _ (fun i _ => (integrable_finsetSum _ (fun k _ => hentry i k)).integrableOn)] | |
| simp_rw [integral_finsetSum _ (fun k _ => (hentry _ k).integrableOn)] | |
| have ht := Finset.sum_le_sum (s := Finset.univ) (fun i _ => Finset.sum_le_sum (s := Finset.univ) (fun k _ => | |
| (integral_abs_on_set_le (goeEntry_memLp r i k) hs).trans (mul_le_mul_of_nonneg_right | |
| (sqrt_le_sqrt (goeEntry_integral_sq_le (by dsimp [r]; positivity) i k)) (sqrt_nonneg _)))) | |
| simp only [Finset.sum_const,Finset.card_univ,nsmul_eq_mul] at ht | |
| exact ht.trans_eq (by | |
| dsimp only [r,μ] | |
| rw [show 2*(j/(Fintype.card ι:ℝ))=2*j/(Fintype.card ι:ℝ) by ring] | |
| ring) | |
| apply hm.trans | |
| have hh := div_le_div_of_nonneg_right hsumle (sqrt_nonneg ((Fintype.card ι:ℝ)*γ)) | |
| exact (add_le_add_right hh (μ.real s*(|log γ|+sqrt (Fintype.card ι:ℝ)*(1+j)/sqrt ((Fintype.card ι:ℝ)*γ)))).trans_eq (by ring) | |
| end SKGap | |
| namespace SKGap | |
| open MeasureTheory Real Set | |
| lemma expectation_upper_good {Ω : Type*} [MeasurableSpace Ω] {μ : Measure Ω} [IsProbabilityMeasure μ] | |
| {F I : Ω → ℝ} {s : Set Ω} (hs : MeasurableSet s) (hF : Integrable F μ) (hI : Integrable I μ) | |
| {D c : ℝ} (hc : 0 ≤ c) (hD : ∀ x, |I x| ≤ D) | |
| (hgood : ∀ x ∉ s, F x ≤ 2*I x+c) : | |
| (∫ x, F x ∂μ) ≤ 2*(∫ x, I x ∂μ)+c+(∫ x in s, |F x| ∂μ)+2*D*μ.real s := by | |
| have hi : Integrable (fun x => 2*I x+c+s.indicator (fun x => |F x|+2*D) x) μ := | |
| ((hI.const_mul 2).add (integrable_const c)).add ((hF.abs.add (integrable_const (2*D))).indicator hs) | |
| have hp (x) : F x ≤ 2*I x+c+s.indicator (fun x => |F x|+2*D) x := by | |
| by_cases hx : x ∈ s | |
| · simp only [Set.indicator_of_mem hx] | |
| have hh := (abs_le.mp (hD x)).1 | |
| nlinarith [le_abs_self (F x)] | |
| · simpa only [Set.indicator_of_notMem hx,add_zero] using hgood x hx | |
| have hh := integral_mono hF hi hp | |
| have hi₁ : Integrable (fun x => 2*I x+c) μ := (hI.const_mul 2).add (integrable_const c) | |
| have hi₂ : Integrable (s.indicator (fun x => |F x|+2*D)) μ := (hF.abs.add (integrable_const (2*D))).indicator hs | |
| rw [integral_add hi₁ hi₂,integral_add (hI.const_mul 2) (integrable_const c), | |
| integral_const_mul,integral_indicator hs,integral_add hF.abs.integrableOn (integrable_const (2*D)), | |
| integral_const,integral_const] at hh | |
| simpa only [probReal_univ,mul_one,smul_eq_mul,measureReal_restrict_apply_univ,one_mul,mul_comm,add_assoc] using hh | |
| end SKGap | |
| end | |
| end | |
| end OAI | |