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Add lean source and binary files (part 85)
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import OAI.MathematicalPhysics.AlternatingFlow.InitialNames
namespace OAI
section DecayBoundsDevelopment
open scoped BigOperators Topology ContDiff
open Filter
namespace AlternatingNS.Effective
attribute [local instance] Arithmetic.rationalCoding
open Bounds (readScale readScale_nonneg potential_decomposition norm_iterated_curl amplitude norm_comp_linear)
lemma potential_bound : ∃ C : (Machine × ℕ) × ℕ → ℕ, Computable C ∧ ∀ M N r n x,
‖iteratedFDeriv ℝ r (fun x => Spatial.cutoff x *
Spatial.shearPotential (Construction.donorIndex n) (Construction.receiverIndex n) 0
(LocalRule.write M N n) (LocalRule.signal M N n) x) x‖ ≤
(C ((M,N),r) : ℝ) * (Scales.ε M.base N n + Scales.ε M.base N (n + 1) * readScale M N n ^ r) := by
obtain ⟨sA, A, cA, ha⟩ := fixedPotential_scaled
obtain ⟨sB, B, cB, hb⟩ := corePotential_scaled
refine ⟨fun z => A ((), z.2) + B z,
Primrec.nat_add.to_comp.comp
(cA.comp ((Computable.const ()).pair Computable.snd)) cB, fun M N r n x => ?_⟩
have hA : 0 ≤ (A ((),r) : ℝ) := Nat.cast_nonneg _
have hB : 0 ≤ (B ((M,N),r) : ℝ) := Nat.cast_nonneg _
simp only [Nat.cast_add]
have hε : 0 ≤ Scales.ε M.base N (n + 1) := Scales.ε_nonneg _ _ _ (by have := M.base_ge_four; omega)
have hε' : Scales.ε M.base N (n + 1) ≤ Scales.ε M.base N n :=
(Scales.ε_strictAnti M.base N (by have := M.base_ge_four; omega)).antitone (by omega)
have h₁ := sA () n
have h₂ := sB (M,N) n
simp_rw [potential_decomposition]
change ‖iteratedFDeriv ℝ r (fun x =>
(Scales.ε M.base N n - Scales.ε M.base N (n + 1)) • Bounds.fixedPotential n x +
Scales.ε M.base N (n + 1) • Bounds.corePotential M N n x) x‖ ≤ _
have hs₁ : ContDiff ℝ ∞ (fun x =>
(Scales.ε M.base N n - Scales.ε M.base N (n + 1)) • Bounds.fixedPotential n x) := h₁.const_smul _
have hs₂ : ContDiff ℝ ∞ (fun x =>
Scales.ε M.base N (n + 1) • Bounds.corePotential M N n x) := h₂.const_smul _
rw [fun_iteratedFDeriv_add_apply
(hs₁.of_le (WithTop.coe_le_coe.mpr le_top)).contDiffAt
(hs₂.of_le (WithTop.coe_le_coe.mpr le_top)).contDiffAt]
apply (norm_add_le _ _).trans
rw [iteratedFDeriv_const_smul_apply' (h₁.of_le (WithTop.coe_le_coe.mpr le_top)).contDiffAt,
iteratedFDeriv_const_smul_apply' (h₂.of_le (WithTop.coe_le_coe.mpr le_top)).contDiffAt,
norm_smul, norm_smul, Real.norm_eq_abs, Real.norm_eq_abs,
abs_of_nonneg (sub_nonneg.mpr hε'), abs_of_nonneg hε]
have haa : ‖iteratedFDeriv ℝ r (Bounds.fixedPotential n) x‖ ≤ (A ((),r) : ℝ) := by simpa using ha () r n x
have hbb := hb (M,N) r n x
have hscale := pow_nonneg (readScale_nonneg M N n) r
calc
_ ≤ Scales.ε M.base N n * (A ((),r) : ℝ) +
Scales.ε M.base N (n + 1) * ((B ((M,N),r) : ℝ) * readScale M N n ^ r) := by
exact add_le_add
(mul_le_mul (by linarith) haa (norm_nonneg _) (by linarith))
(mul_le_mul_of_nonneg_left hbb hε)
_ ≤ _ := by nlinarith [mul_nonneg (show 0 ≤ Scales.ε M.base N n by linarith) hB,
mul_nonneg hA (mul_nonneg hε hscale)]
lemma slot_estimate : ∃ C : (Machine × ℕ) × ℕ → ℕ, Computable C ∧ ∀ M N r n x,
‖iteratedFDeriv ℝ r (Construction.slot M N n) x‖ ≤
(C ((M,N),r) : ℝ) * (Scales.ε M.base N n + Scales.ε M.base N (n + 1) * readScale M N n ^ (r + 1)) := by
obtain ⟨C, hC, hc⟩ := potential_bound
refine ⟨fun z => 2 * C (z.1,z.2+1),
Primrec.nat_mul.to_comp.comp (Computable.const 2)
(hC.comp (Computable.fst.pair (Computable.succ.comp Computable.snd))), fun M N r n x => ?_⟩
have h := norm_iterated_curl (Construction.receiverIndex n) 0 _
(Spatial.cutoff_smooth.mul (Spatial.shearPotential_smooth (Construction.donorIndex n)
(Construction.receiverIndex n) 0 _ _
(LocalRule.write_smooth M N n) (LocalRule.signal_smooth M N n))) r x
apply h.trans
push_cast
nlinarith [hc M N (r+1) n x]
def readCost (z : (Machine × ℕ) × ℕ) : ℕ :=
1 + ∑ n ∈ Finset.range z.2, z.1.1.base ^
(Scales.s z.1.2 n + (z.2+1) * (Scales.s z.1.2 n + 1 + Scales.K z.1.2 n))
lemma readCost_computable : Computable readCost := by
have hM : Computable (fun z : ((Machine × ℕ) × ℕ) × ℕ => z.1.1.1) :=
Computable.fst.comp (Computable.fst.comp Computable.fst)
have hN : Computable (fun z : ((Machine × ℕ) × ℕ) × ℕ => z.1.1.2) :=
Computable.snd.comp (Computable.fst.comp Computable.fst)
have hs : Computable (fun z : ((Machine × ℕ) × ℕ) × ℕ => Scales.s z.1.1.2 z.2) := exponent.to_comp.comp hN Computable.snd
have hK : Computable (fun z : ((Machine × ℕ) × ℕ) × ℕ => Scales.K z.1.1.2 z.2) := capacity.to_comp.comp hN Computable.snd
have hp : Computable₂ (fun z : (Machine × ℕ) × ℕ => fun n : ℕ => z.1.1.base ^ (Scales.s z.1.2 n + (z.2+1) * (Scales.s z.1.2 n + 1 + Scales.K z.1.2 n))) := nat_pow.to_comp.comp (base.to_comp.comp hM)
(Primrec.nat_add.to_comp.comp hs (Primrec.nat_mul.to_comp.comp
(Computable.succ.comp (Computable.snd.comp Computable.fst))
(Primrec.nat_add.to_comp.comp (Computable.succ.comp hs) hK)))
unfold readCost
exact Primrec.nat_add.to_comp.comp (Computable.const 1)
((nat_sum_range hp).comp Computable.id Computable.snd)
lemma uniform_read_cost (M : Machine) (N r n : ℕ) :
Scales.ε M.base N (n + 1) * readScale M N n ^ (r + 1) ≤
(readCost ((M,N),r) : ℝ) * Scales.ε M.base N n := by
have hb : (1 : ℝ) ≤ M.base := by have := M.base_ge_four; exact_mod_cast (by omega : 1 ≤ M.base)
have hε (n : ℕ) : 0 < Scales.ε M.base N n :=
Scales.ε_pos _ _ _ (by have := M.base_ge_four; omega)
have hD : (1 : ℝ) ≤ readCost ((M,N),r) := by
dsimp [readCost]; push_cast
exact le_add_of_nonneg_right (Finset.sum_nonneg (by intros; positivity))
have he : readScale M N n ^ (r + 1) =
(M.base : ℝ) ^ ((r+1) * (Scales.s N n + 1 + Scales.K N n)) := by
rw [readScale, ← pow_mul, Nat.mul_comm]
by_cases hn : n < r
· have hle : M.base ^ (Scales.s N n + (r+1) * (Scales.s N n + 1 + Scales.K N n)) ≤ readCost ((M,N),r) :=
(Finset.single_le_sum (f := fun n => M.base ^ (Scales.s N n + (r+1) * (Scales.s N n + 1 + Scales.K N n)))
(fun _ _ => Nat.zero_le _) (Finset.mem_range.mpr hn)).trans (Nat.le_add_left _ _)
have hpow : ((M.base : ℝ) ^ Scales.s N n) ≠ 0 := ne_of_gt (pow_pos (zero_lt_one.trans_le hb) _)
calc
_ ≤ readScale M N n ^ (r+1) := by
apply mul_le_of_le_one_left (pow_nonneg (readScale_nonneg M N n) _)
simpa [Scales.ε, abs_of_nonneg (inv_nonneg.mpr (pow_nonneg (zero_le_one.trans hb) _))] using
Bounds.inverse_power_bound M (Scales.s N (n+1))
_ = (M.base : ℝ) ^ (Scales.s N n + (r+1) * (Scales.s N n + 1 + Scales.K N n)) * Scales.ε M.base N n := by
rw [he, pow_add, Scales.ε]; field_simp
_ ≤ _ := mul_le_mul_of_nonneg_right (by exact_mod_cast hle) (hε n).le
· rw [he]
exact (Scales.derivative_cost_bound M.base N r n (by have := M.base_ge_four; omega)
(by omega)).trans (le_mul_of_one_le_left (hε n).le hD)
lemma slot_decay : ∃ C : (Machine × ℕ) × ℕ → ℕ, Computable C ∧ ∀ M N r n x,
‖iteratedFDeriv ℝ r (Construction.slot M N n) x‖ ≤ (C ((M,N),r) : ℝ) * Scales.ε M.base N n := by
obtain ⟨C,hC,hc⟩ := slot_estimate
refine ⟨fun z => C z * (1 + readCost z), Primrec.nat_mul.to_comp.comp hC
(Primrec.nat_add.to_comp.comp (Computable.const 1) readCost_computable), fun M N r n x => ?_⟩
apply (hc M N r n x).trans
push_cast
have h := mul_le_mul_of_nonneg_left (uniform_read_cost M N r n) (Nat.cast_nonneg (C ((M,N),r)) : (0 : ℝ) ≤ _)
nlinarith
lemma loading_bound : ∃ C : (Machine × List ℕ) × ℕ → ℕ, Computable C ∧ ∀ M w r x,
‖iteratedFDeriv ℝ r (Construction.loading M w) x‖ ≤ C ((M,w),r) := by
obtain ⟨hs,C,hC,hc⟩ := loadingPotential_scaled
refine ⟨fun z => 2 * C (z.1,z.2+1), Primrec.nat_mul.to_comp.comp (Computable.const 2)
(hC.comp (Computable.fst.pair (Computable.succ.comp Computable.snd))), fun M w r x => ?_⟩
apply (norm_iterated_curl 1 0 _ (hs (M,w) 0) r x).trans
have h := hc (M,w) (r+1) 0 x
simp only [one_pow, mul_one] at h
push_cast
linarith
lemma piece_decay : ∃ C : (Machine × List ℕ) × ℕ → ℕ, Computable C ∧ ∀ M w r n x,
‖iteratedFDeriv ℝ r (Construction.piece M w n) x‖ ≤ (C ((M,w),r) : ℝ) * amplitude M w.length n := by
obtain ⟨A,hA,ha⟩ := loading_bound
obtain ⟨B,hB,hb⟩ := slot_decay
refine ⟨fun z => A z + B ((z.1.1,z.1.2.length),z.2), Primrec.nat_add.to_comp.comp hA
(hB.comp (((Computable.fst.comp Computable.fst).pair
(Primrec.list_length.to_comp.comp (Computable.snd.comp Computable.fst))).pair Computable.snd)), fun M w r n x => ?_⟩
cases n with
| zero =>
simp only [Construction.piece, amplitude, mul_one, Nat.cast_add]
exact (ha M w r x).trans (le_add_of_nonneg_right (Nat.cast_nonneg _))
| succ n =>
simp only [Construction.piece, amplitude, Nat.cast_add]
exact (hb M w.length r n x).trans (mul_le_mul_of_nonneg_right
(le_add_of_nonneg_left (Nat.cast_nonneg _)) (Scales.ε_nonneg _ _ _ (by have := M.base_ge_four; omega)))
lemma pulse_scaled : Scaled (fun _ : Unit => fun _ => 1) (fun _ _ => Profiles.pulse) := by
have hclock := transition_scaled.affine (fun _ _ => zero_le_one) (fun _ _ => 2)
(fun _ _ => -1/2) (fun _ => 2) (Computable.const 2) (by intros; norm_num)
have he : (fun t => Real.smoothTransition (2 * t + -1/2)) = Profiles.clock := by
funext t; unfold Profiles.clock; congr 1; ring
obtain ⟨hs,C,hC,hc⟩ := hclock
refine ⟨fun _ _ => Profiles.pulse_smooth, fun z => C ((),z.2+1),
hC.comp ((Computable.const ()).pair (Computable.succ.comp Computable.snd)), fun a r n x => ?_⟩
rw [he] at hc
change ‖iteratedFDeriv ℝ r (deriv Profiles.clock) x‖ ≤ _
simpa [one_pow, norm_iteratedFDeriv_eq_norm_iteratedDeriv, iteratedDeriv_succ'] using hc () (r+1) 0 x
lemma pulsePiece_decay : ∃ C : (Machine × List ℕ) × ℕ → ℕ, Computable C ∧ ∀ M w r n z,
‖iteratedFDeriv ℝ r (Bounds.pulsePiece M w n) z‖ ≤ (C ((M,w),r) : ℝ) * amplitude M w.length n := by
obtain ⟨_,A,hA,ha⟩ := pulse_scaled
obtain ⟨B,hB,hb⟩ := piece_decay
let C := fun z : (Machine × List ℕ) × ℕ => ∑ i ∈ Finset.range (z.2+1), z.2.choose i * A ((),i) * B (z.1,z.2-i)
have hi : Computable₂ (fun z : (Machine × List ℕ) × ℕ => fun i : ℕ => z.2.choose i * A ((),i) * B (z.1,z.2-i)) :=
Primrec.nat_mul.to_comp.comp (Primrec.nat_mul.to_comp.comp
(choose.to_comp.comp (Computable.snd.comp Computable.fst) Computable.snd)
(hA.comp ((Computable.const ()).pair Computable.snd)))
(hB.comp ((Computable.fst.comp Computable.fst).pair
(Primrec.nat_sub.to_comp.comp (Computable.snd.comp Computable.fst) Computable.snd)))
refine ⟨C, (nat_sum_range hi).comp Computable.id (Computable.succ.comp Computable.snd), fun M w r n z => ?_⟩
have hp (i : ℕ) :
‖iteratedFDeriv ℝ i (fun z : ℝ × Space => Profiles.pulse (z.1 - n)) z‖ ≤ (A ((),i) : ℝ) := by
apply (norm_comp_linear (fun t => Profiles.pulse (t - n))
(Profiles.pulse_smooth.comp (contDiff_id.sub contDiff_const)) (ContinuousLinearMap.fst ℝ ℝ Space)
i z).trans
rw [iteratedFDeriv_comp_sub]
have h₁ : ‖iteratedFDeriv ℝ i Profiles.pulse (z.1 - n)‖ ≤ (A ((),i) : ℝ) := by simpa using ha () i 0 (z.1 - n)
have h₂ := pow_le_pow_left₀ (norm_nonneg _) (ContinuousLinearMap.norm_fst_le ℝ ℝ Space) i
simpa only [one_pow, mul_one, ContinuousLinearMap.coe_fst', ContinuousLinearMap.coe_snd'] using mul_le_mul h₁ h₂ (pow_nonneg (norm_nonneg _) _) (Nat.cast_nonneg (A ((),i)))
have hw (i : ℕ) :
‖iteratedFDeriv ℝ i (fun z : ℝ × Space => Construction.piece M w n z.2) z‖ ≤
(B ((M,w),i) : ℝ) * amplitude M w.length n := by
apply (norm_comp_linear (Construction.piece M w n) (Construction.piece_smooth M w n)
(ContinuousLinearMap.snd ℝ ℝ Space) i z).trans
have h₁ := hb M w i n z.2
have h₂ := pow_le_pow_left₀ (norm_nonneg _) (ContinuousLinearMap.norm_snd_le ℝ ℝ Space) i
simpa only [one_pow, mul_one, ContinuousLinearMap.coe_fst', ContinuousLinearMap.coe_snd'] using mul_le_mul h₁ h₂ (pow_nonneg (norm_nonneg _) _)
(mul_nonneg (Nat.cast_nonneg (B ((M,w),i))) (Bounds.amplitude_nonneg M w.length n))
apply (norm_iteratedFDeriv_smul_le
(Profiles.pulse_smooth.comp (contDiff_fst.sub contDiff_const))
((Construction.piece_smooth M w n).comp contDiff_snd) z (WithTop.coe_le_coe.mpr le_top)).trans
calc
_ ≤ ∑ i ∈ Finset.range (r + 1), (r.choose i : ℝ) * (A ((),i) : ℝ) * ((B ((M,w),r-i) : ℝ) * amplitude M w.length n) := by
apply Finset.sum_le_sum
intro i _
apply mul_le_mul _ (hw (r - i)) (norm_nonneg _) (mul_nonneg (Nat.cast_nonneg _) (Nat.cast_nonneg (A ((),i))))
exact mul_le_mul_of_nonneg_left (hp i) (Nat.cast_nonneg _)
_ = (C ((M,w),r) : ℝ) * amplitude M w.length n := by
simp only [C, Nat.cast_sum, Nat.cast_mul, Finset.sum_mul, mul_assoc]
lemma epsilon_small (M : Machine) (N n : ℕ) : Scales.ε M.base N n ≤ (1/8:ℝ)^n := by
have hb : (2 : ℝ) ≤ M.base := by exact_mod_cast (le_trans (by decide : 2 ≤ 4) M.base_ge_four)
have hs : 3*n ≤ Scales.s N n := by have := Scales.s_lower N n; nlinarith
unfold Scales.ε
have hp : (8:ℝ)^n ≤ (M.base:ℝ)^Scales.s N n := by
calc
_ = (2:ℝ)^(3*n) := by rw [pow_mul]; norm_num
_ ≤ (2:ℝ)^Scales.s N n := pow_le_pow_right₀ (by norm_num) hs
_ ≤ _ := pow_le_pow_left₀ (by norm_num) hb _
simpa only [one_div, inv_pow] using inv_anti₀ (by positivity : (0:ℝ) < 8^n) hp
lemma weighted_epsilon (M : Machine) (N J n : ℕ) :
(1+(n:ℝ))^J * Scales.ε M.base N n ≤ 4 * J.factorial * (1/2:ℝ)^n := by
have hpoly : (1+(n:ℝ))^J ≤ (J.factorial:ℝ) * (4 * 4^n) := by
have h := (div_le_iff₀ (by positivity : (0:ℝ) < J.factorial)).mp
(Real.pow_div_factorial_le_exp (1+(n:ℝ)) (by positivity) J)
have he : Real.exp (1+(n:ℝ)) ≤ 4 * 4^n := by
rw [Real.exp_add, show (n:ℝ) = n*1 by ring, Real.exp_nat_mul]
exact mul_le_mul (Real.exp_one_lt_three.le.trans (by norm_num))
(pow_le_pow_left₀ (Real.exp_pos _).le (Real.exp_one_lt_three.le.trans (by norm_num)) n)
(by positivity) (by norm_num)
exact h.trans (by nlinarith [mul_le_mul_of_nonneg_right he (Nat.cast_nonneg J.factorial : (0:ℝ) ≤ _)])
calc
_ ≤ ((J.factorial:ℝ) * (4 * 4^n)) * (1/8:ℝ)^n :=
mul_le_mul hpoly (epsilon_small M N n) (Scales.ε_nonneg _ _ _ (by have := M.base_ge_four; omega)) (by positivity)
_ = _ := by rw [mul_assoc _ (4*4^n), mul_assoc 4, ← mul_pow]; norm_num; ring
lemma weighted_amplitude_sum (M : Machine) (N J : ℕ) :
(∑' n : ℕ, (1+(n:ℝ))^J * amplitude M N n) ≤ (1 + 8 * 2^J * J.factorial : ℕ) := by
have hs := Bounds.weighted_amplitude_summable M N J
rw [hs.tsum_eq_zero_add]
simp only [amplitude, Nat.cast_zero, add_zero, one_pow, mul_one]
have hc : ∀ n : ℕ, (1+(n+1:ℕ))^J * amplitude M N (n+1) ≤
(2:ℝ)^J * (4 * J.factorial * (1/2:ℝ)^n) := by
intro n
simp only [amplitude, Nat.cast_add, Nat.cast_one]
calc
_ ≤ (2*(1+(n:ℝ)))^J * Scales.ε M.base N n := mul_le_mul_of_nonneg_right
(pow_le_pow_left₀ (by positivity) (by nlinarith) J)
(Scales.ε_nonneg _ _ _ (by have := M.base_ge_four; omega))
_ ≤ _ := by rw [mul_pow, mul_assoc]; exact mul_le_mul_of_nonneg_left (weighted_epsilon M N J n) (by positivity)
have h := (hs.comp_injective Nat.succ_injective).tsum_le_tsum hc
((summable_geometric_two.mul_left (4*(J.factorial:ℝ))).mul_left ((2:ℝ)^J))
simp only [tsum_mul_left, tsum_geometric_two, amplitude, Nat.cast_add, Nat.cast_one] at h
push_cast
nlinarith
end AlternatingNS.Effective
end DecayBoundsDevelopment
end OAI