openAI-math-dataset / lean /OAI /Dynamics /EntropyCounterexample /ConcreteInputRegularity.lean
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import OAI.Dynamics.EntropyCounterexample.NormalizedPrediction
import OAI.Dynamics.EntropyCounterexample.SphereAngularInput
import OAI.Dynamics.EntropyCounterexample.LocalPredictionInput
import OAI.Dynamics.EntropyCounterexample.PredictionModelBridge
namespace OAI
noncomputable section
namespace Problem340.ConcreteInputRegularity
abbrev Ambient := AmbientPrediction.Ambient
def preparation (x : Ambient) : ℝ := preparationCoeff x.1
def predictedClock (n : ℕ) : Ambient → ℝ :=
NormalizedPrediction.clock AmbientPrediction.predictor (n + 1)
def angular (n : ℕ) (x : Ambient) : ℂ :=
SphereAngularInput.angularAmbient (2 ^ (n + 2)) x.2
def ambientInput (L : ℝ) (i : Fin 3) (x : Ambient) : ℂ :=
∑' n, predictionSummand preparation (readoutCoeff i) predictedClock angular L n x
theorem predictor_preserves_norm (x : Ambient) (hx : ‖x.2‖ = 1) :
‖(AmbientPrediction.predictor x).2‖ = 1 := by
exact mem_sphere_zero_iff_norm.mp
(SphereDoubling.ambientMap_mem_sphere ⟨x.2, mem_sphere_zero_iff_norm.mpr hx⟩)
theorem exists_contDiffOn_ambientInput_product :
∃ (B : ℝ) (W : Set SphereAmbient), 1 ≤ B ∧ IsOpen W ∧
Metric.sphere (0 : SphereAmbient) 1 ⊆ W ∧
∀ L : ℝ, B < L → 2 < L → ∀ i : Fin 3,
ContDiffOn ℝ 1 (ambientInput L i) (Set.univ ×ˢ W) := by
obtain ⟨B, hB, hBbound⟩ := AmbientPrediction.exists_derivative_bound
obtain ⟨U, K, hU, hsU, hK, hangular, hangularBound⟩ :=
SphereAngularInput.exists_uniform_angular_neighborhood
obtain ⟨A, hA, hAbound⟩ := exists_preparationCoeff_fderiv_bound
obtain ⟨D, hD, hDbound⟩ := exists_readoutCoeff_fderiv_bound
let V : Set Ambient := AmbientRetraction.cylinderDomain ∩ Prod.snd ⁻¹' U
have hV : IsOpen V := AmbientRetraction.isOpen_cylinderDomain.inter
(hU.preimage continuous_snd)
have hVsub : AmbientPrediction.cylinder ⊆ V := by
intro x hx
refine ⟨?_, hsU hx.2⟩
change (1 / 2 : ℝ) < ‖x.2‖
rw [mem_sphere_zero_iff_norm.mp hx.2]
norm_num
have hpred : ContDiff ℝ 1 AmbientPrediction.predictor :=
AmbientPrediction.contDiff_predictor
have hnormBound : ∀ x : Ambient, ‖x.2‖ = 1 →
‖fderiv ℝ AmbientPrediction.predictor x‖ ≤ B := by
intro x hx
exact hBbound x ⟨Set.mem_univ _, mem_sphere_zero_iff_norm.mpr hx⟩
let W : Set SphereAmbient := {z | (0, z) ∈ V}
have hW : IsOpen W := hV.preimage (continuous_const.prodMk continuous_id)
have hsW : Metric.sphere (0 : SphereAmbient) 1 ⊆ W :=
fun z hz => hVsub ⟨Set.mem_univ _, hz⟩
have hVW : V = Set.univ ×ˢ W := by
ext x
simp [V, W, AmbientRetraction.cylinderDomain]
refine ⟨B, W, hB, hW, hsW, ?_⟩
intro L hBL hL i
rw [← hVW]
apply contDiffOn_predictionInput hV (A := A) (D := D) (J := 4) (K := K)
(B := B) (by linarith) (by linarith) (by norm_num) (by linarith)
(by linarith) hBL hL
· exact (preparationCoeff_contDiff.comp contDiff_fst).contDiffOn
· exact readoutCoeff_contDiff i
· intro n
exact (NormalizedPrediction.contDiffOn_clock hpred predictor_preserves_norm
(n + 1)).mono (fun _ hx => hx.1)
· intro n
exact ((hangular (2 ^ (n + 2))).of_le (by norm_num)).comp
contDiffOn_snd (fun _ hx => hx.2)
· intro x _
change ‖preparationCoeff x.1‖ ≤ 1
rw [Real.norm_eq_abs, abs_of_nonneg (preparationCoeff_nonneg x.1)]
exact preparationCoeff_le_one x.1
· intro n x _
rw [Real.norm_eq_abs, abs_of_nonneg (readoutCoeff_nonneg i _)]
exact readoutCoeff_le_one i _
· intro n x _
exact SphereAngularInput.norm_angularAmbient_le_one _ _
· intro x _
have hh := norm_fderiv_comp_le
((preparationCoeff_contDiff (n := 1)).differentiable_one x.1)
(differentiableAt_fst (p := x))
change ‖fderiv ℝ preparation x‖ ≤ A
apply hh.trans
calc
‖fderiv ℝ preparationCoeff x.1‖ * ‖fderiv ℝ Prod.fst x‖
≤ A * 1 := mul_le_mul (hAbound x.1)
(by rw [fderiv_fst]; exact ContinuousLinearMap.norm_fst_le ℝ ℝ SphereAmbient)
(norm_nonneg _) (by linarith)
_ = A := mul_one A
· intro n x _
exact hDbound i _
· intro n x hx
exact NormalizedPrediction.norm_fderiv_clock_le_scaled hpred predictor_preserves_norm
(by linarith) hnormBound (n + 1) x hx.1
· intro n x hx
have hd : DifferentiableAt ℝ
(SphereAngularInput.angularAmbient (2 ^ (n + 2))) x.2 :=
(((hangular (2 ^ (n + 2))).of_le (by norm_num)).contDiffAt
(hU.mem_nhds hx.2)).differentiableAt one_ne_zero
have hh := norm_fderiv_comp_le hd (differentiableAt_snd (p := x))
change ‖fderiv ℝ (angular n) x‖ ≤ K * (1 + 2 ^ (n + 2))
apply hh.trans
have hb : ‖fderiv ℝ (SphereAngularInput.angularAmbient (2 ^ (n + 2))) x.2‖ ≤
K * (1 + (2 : ℝ) ^ (n + 2)) := by
have := hangularBound (2 ^ (n + 2)) x.2 hx.2
push_cast at this
linarith [norm_nonneg (SphereAngularInput.angularAmbient (2 ^ (n + 2)) x.2)]
calc
_ ≤ (K * (1 + (2 : ℝ) ^ (n + 2))) * 1 := mul_le_mul hb
(by rw [fderiv_snd]; exact ContinuousLinearMap.norm_snd_le ℝ ℝ SphereAmbient)
(norm_nonneg _) (by positivity)
_ = K * (1 + 2 ^ (n + 2)) := mul_one _
theorem exists_contDiffOn_ambientInput :
∃ (B : ℝ) (V : Set Ambient), 1 ≤ B ∧ IsOpen V ∧
AmbientPrediction.cylinder ⊆ V ∧
∀ L : ℝ, B < L → 2 < L → ∀ i : Fin 3,
ContDiffOn ℝ 1 (ambientInput L i) V := by
obtain ⟨B, W, hB, hW, hsW, hreg⟩ := exists_contDiffOn_ambientInput_product
exact ⟨B, Set.univ ×ˢ W, hB, isOpen_univ.prod hW,
fun x hx => ⟨Set.mem_univ _, hsW hx.2⟩, hreg⟩
theorem ambientInput_eq_zero_of_preparation_eq_zero
(L : ℝ) (i : Fin 3) (x : Ambient) (h : preparationCoeff x.1 = 0) :
ambientInput L i x = 0 := by
simp [ambientInput, predictionSummand, preparation, h]
theorem ambientInput_eq_zero_of_not_mem (L : ℝ) (i : Fin 3) (x : Ambient)
(hx : x.1 ∉ Set.Ioo (8 : ℝ) 12) : ambientInput L i x = 0 := by
apply ambientInput_eq_zero_of_preparation_eq_zero
by_contra h
exact hx (preparationCoeff_support ▸ h)
open scoped OnePoint
theorem horizontal_sphereOfComplex (z : ℂ) :
SphereAngularInput.horizontal (sphereOfComplex z).val =
(2 / (‖z‖ ^ 2 + 1) : ℝ) • z := by
calc
_ = (2 / (‖z‖ ^ 2 + 1) : ℝ) • ((z.re : ℂ) + (z.im : ℂ) * Complex.I) := by
simp only [SphereAngularInput.horizontal, sphereOfComplex_val_zero,
sphereOfComplex_val_one, Complex.real_smul]
push_cast
ring
_ = _ := by rw [Complex.re_add_im]
theorem phase_complexSphereHomeomorph (z : OnePoint ℂ) :
SphereAngularInput.phase (complexSphereHomeomorph z).val = Construction.phase z := by
induction z using OnePoint.rec with
| infty =>
simp [SphereAngularInput.phase, SphereAngularInput.horizontal,
chartNorthPole, chartNorthVector, Fin.ext_iff]
| coe z =>
rw [complexSphereHomeomorph_coe,
SphereAngularInput.phase_eq_of_positive_scale
(by positivity : (0 : ℝ) < 2 / (‖z‖ ^ 2 + 1))
(horizontal_sphereOfComplex z)]
simp [NormedSpace.normalize, Construction.phase_coe, Complex.real_smul,
div_eq_mul_inv, mul_comm]
theorem cutoff_complexSphereHomeomorph (z : OnePoint ℂ) :
SphereCutoffs.preparationCutoffAmbient (complexSphereHomeomorph z).val =
SphereCutoffs.onePointPreparationCutoff z := by
induction z using OnePoint.rec with
| infty =>
change SphereCutoffs.preparationCutoffAmbient chartNorthPole.val = 0
apply SphereCutoffs.preparationCutoffAmbient_eq_zero_of_high
norm_num [chartNorthPole, chartNorthVector, PiLp.single_apply, Fin.ext_iff]
| coe z =>
simp [SphereCutoffs.preparationCutoffAmbient,
SphereCutoffs.affinePreparationCutoff, SphereCutoffs.affineHeight]
theorem angular_modelEmbedding (n : ℕ) (t : ℝ) (z : OnePoint ℂ) :
angular n (PredictionModelBridge.modelEmbedding (t, z)) =
(SphereCutoffs.onePointPreparationCutoff z : ℂ) *
Construction.phase z ^ (2 ^ (n + 2)) := by
change SphereAngularInput.angularAmbient _ (complexSphereHomeomorph z).val = _
rw [SphereAngularInput.angularAmbient, phase_complexSphereHomeomorph,
cutoff_complexSphereHomeomorph]
theorem predictedClock_modelEmbedding (D : Construction.SphereData)
(hgate : D.gate = SphereCutoffs.onePointClockGate)
(n : ℕ) (t : ℝ) (z : OnePoint ℂ) :
predictedClock n (PredictionModelBridge.modelEmbedding (t, z)) =
Construction.predictedClock D (n + 1) t z := by
have hx : ‖(PredictionModelBridge.modelEmbedding (t, z)).2‖ = 1 :=
mem_sphere_zero_iff_norm.mp (complexSphereHomeomorph z).property
have hn := NormalizedPrediction.clock_eq_original_on_sphere
(G := AmbientPrediction.predictor) predictor_preserves_norm hx (n + 1)
exact hn.trans (PredictionModelBridge.predictedClock_eq D hgate (n + 1) t z).symm
theorem summand_modelEmbedding (D : Construction.SphereData)
(hgate : D.gate = SphereCutoffs.onePointClockGate)
(hcutoff : D.cutoff = SphereCutoffs.onePointPreparationCutoff)
(i : Fin 3) (n : ℕ) (t : ℝ) (z : OnePoint ℂ) :
predictionSummand preparation (readoutCoeff i) predictedClock angular D.L n
(PredictionModelBridge.modelEmbedding (t, z)) =
((preparationCoeff t / 10 : ℝ) : ℂ) * Construction.inputTerm D i n t z := by
rw [predictionSummand, predictedClock_modelEmbedding D hgate,
angular_modelEmbedding]
simp only [preparation, PredictionModelBridge.modelEmbedding, Construction.inputTerm,
hcutoff, Complex.real_smul, Complex.ofReal_mul, Complex.ofReal_div,
Complex.ofReal_pow, Complex.ofReal_inv, Complex.ofReal_ofNat]
ring
theorem ambientInput_modelEmbedding (D : Construction.SphereData)
(hgate : D.gate = SphereCutoffs.onePointClockGate)
(hcutoff : D.cutoff = SphereCutoffs.onePointPreparationCutoff)
(i : Fin 3) (t : ℝ) (z : OnePoint ℂ) :
ambientInput D.L i (PredictionModelBridge.modelEmbedding (t, z)) =
Construction.baseInput D i t z := by
unfold ambientInput Construction.baseInput
rw [← tsum_mul_left]
exact tsum_congr (fun n => summand_modelEmbedding D hgate hcutoff i n t z)
theorem continuous_modelEmbedding : Continuous PredictionModelBridge.modelEmbedding :=
continuous_fst.prodMk (continuous_subtype_val.comp
(complexSphereHomeomorph.continuous.comp continuous_snd))
theorem exists_regular_baseInput :
∃ B : ℝ, 1 ≤ B ∧ ∀ D : Construction.SphereData,
D.gate = SphereCutoffs.onePointClockGate →
D.cutoff = SphereCutoffs.onePointPreparationCutoff →
B < D.L → 2 < D.L → ∀ i : Fin 3,
ContDiff ℝ 1 (fun x : ℝ × ℂ =>
Construction.baseInput D i x.1 (x.2 : OnePoint ℂ)) ∧
Continuous (fun x : ℝ × OnePoint ℂ => Construction.baseInput D i x.1 x.2) := by
obtain ⟨B, V, hB, hV, hsub, hreg⟩ := exists_contDiffOn_ambientInput
refine ⟨B, hB, ?_⟩
intro D hgate hcutoff hBL hL i
have hinput := hreg D.L hBL hL i
constructor
· have hc : ContDiffOn ℝ 1
(ambientInput D.L i ∘ PredictionModelBridge.affineEmbedding) Set.univ :=
hinput.comp PredictionModelBridge.contDiff_affineEmbedding.contDiffOn
(fun x _ => hsub (PredictionModelBridge.affineEmbedding_mem_cylinder x))
have heq : (ambientInput D.L i ∘ PredictionModelBridge.affineEmbedding) =
(fun x : ℝ × ℂ => Construction.baseInput D i x.1 (x.2 : OnePoint ℂ)) := by
funext x
exact ambientInput_modelEmbedding D hgate hcutoff i x.1 (x.2 : OnePoint ℂ)
rw [heq, contDiffOn_univ] at hc
exact hc
· have hc : Continuous (ambientInput D.L i ∘ PredictionModelBridge.modelEmbedding) :=
hinput.continuousOn.comp_continuous continuous_modelEmbedding
(fun x => hsub (PredictionModelBridge.modelEmbedding_mem_cylinder x))
have heq : (ambientInput D.L i ∘ PredictionModelBridge.modelEmbedding) =
(fun x : ℝ × OnePoint ℂ => Construction.baseInput D i x.1 x.2) := by
funext x
exact ambientInput_modelEmbedding D hgate hcutoff i x.1 x.2
rwa [heq] at hc
end Problem340.ConcreteInputRegularity
end
end OAI