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import OAI.Geometry.LatticeCovering.Sections
namespace OAI
section
section
noncomputable section
open Real Filter Topology Asymptotics
namespace SingleLatticeCovering.FinalRates
def firstSize (n : ℕ) : ℕ := ⌈(Real.log (Real.log (n : ℝ)))^2⌉₊
lemma loglog_nat_atTop : Tendsto (fun n : ℕ => Real.log (Real.log (n : ℝ))) atTop atTop :=
Real.tendsto_log_atTop.comp (Real.tendsto_log_atTop.comp tendsto_natCast_atTop_atTop)
lemma log_nat_atTop : Tendsto (fun n : ℕ => Real.log (n : ℝ)) atTop atTop :=
Real.tendsto_log_atTop.comp tendsto_natCast_atTop_atTop
lemma loglog_sq_littleO :
(fun n : ℕ => (Real.log (Real.log (n : ℝ)))^2) =o[atTop]
(fun n : ℕ => Real.log (n : ℝ)) := by
simpa only [Function.comp_def,Real.rpow_two,Real.rpow_one] using
(isLittleO_log_rpow_rpow_atTop (2 : ℝ) (by norm_num : (0 : ℝ) < 1)).comp_tendsto log_nat_atTop
lemma firstSize_tendsto : Tendsto firstSize atTop atTop := by
apply tendsto_nat_ceil_atTop.comp
simpa only [Function.comp_def,Real.rpow_two] using (tendsto_rpow_atTop (by norm_num : (0 : ℝ) < 2)).comp loglog_nat_atTop
lemma eventually_firstSize_le_log {c : ℝ} (hc : 0 < c) :
∀ᶠ n : ℕ in atTop, (firstSize n : ℝ)+1 ≤ c*Real.log (n : ℝ) := by
filter_upwards [loglog_sq_littleO.bound (half_pos hc),
log_nat_atTop.eventually (eventually_ge_atTop (4/c))] with n hs hl
rw [Real.norm_eq_abs,Real.norm_eq_abs,abs_of_nonneg (sq_nonneg _),
abs_of_nonneg (Real.log_natCast_nonneg n)] at hs
have hceil := Nat.ceil_lt_add_one (sq_nonneg (Real.log (Real.log (n : ℝ))))
have he : 4 ≤ c*Real.log (n : ℝ) := by simpa only [mul_comm] using (div_le_iff₀ hc).mp hl
change (firstSize n : ℝ) < (Real.log (Real.log (n : ℝ)))^2+1 at hceil
linarith
lemma eventually_dimension_power {C a r : ℝ} (hC : 0 < C) (ha : 1 < a) (hr : 0 < r) :
∀ᶠ n : ℕ in atTop, ∀ D : ℕ, (D : ℝ) ≤ C*((firstSize n : ℝ)+1) →
a^D ≤ (n : ℝ)^r := by
have hal : 0 < Real.log a := Real.log_pos ha
have ha0 : 0 < a := lt_trans zero_lt_one ha
filter_upwards [eventually_firstSize_le_log (div_pos hr (mul_pos hC hal)),
eventually_ge_atTop (1 : ℕ)] with n hn hn1 D hD
have hn0 : (0 : ℝ) < n := by exact_mod_cast hn1
apply (Real.log_le_log_iff (pow_pos ha0 _) (Real.rpow_pos_of_pos hn0 r)).mp
rw [Real.log_pow,Real.log_rpow hn0]
calc
(D : ℝ)*Real.log a ≤ C*((firstSize n : ℝ)+1)*Real.log a :=
mul_le_mul_of_nonneg_right hD hal.le
_ = (C*Real.log a)*((firstSize n : ℝ)+1) := by ring
_ ≤ (C*Real.log a)*(r/(C*Real.log a)*Real.log (n : ℝ)) :=
mul_le_mul_of_nonneg_left hn (mul_pos hC hal).le
_ = r*Real.log (n : ℝ) := by field_simp
lemma eventually_superlinear_power {k : ℝ} (hk : 0 < k) :
∀ᶠ s : ℝ in atTop, 2*s ≤ k*s^(7/5 : ℝ) := by
filter_upwards [eventually_ge_atTop (1 : ℝ),
(tendsto_rpow_atTop (by norm_num : (0 : ℝ) < 2/5)).eventually
(eventually_ge_atTop (2/k))] with s hs hpow
have hs0 : 0 < s := lt_of_lt_of_le zero_lt_one hs
have hmul : 2 ≤ k*s^(2/5 : ℝ) := by simpa only [mul_comm] using (div_le_iff₀ hk).mp hpow
have he : s^(7/5 : ℝ)=s*s^(2/5 : ℝ) := by
rw [show (7/5 : ℝ)=1+2/5 by norm_num,Real.rpow_add hs0,Real.rpow_one]
rw [he]
nlinarith [mul_nonneg hs0.le (sub_nonneg.mpr hmul)]
lemma cap_log_tendsto {k : ℝ} (hk : 0 < k) :
Tendsto (fun n : ℕ => Real.log (n : ℝ)*
Real.exp (-k*(firstSize n : ℝ)^(70/100 : ℝ))) atTop (𝓝 0) := by
have hexp : Tendsto (fun n : ℕ => Real.exp (-Real.log (Real.log (n : ℝ)))) atTop (𝓝 0) :=
Real.tendsto_exp_atBot.comp (tendsto_neg_atTop_atBot.comp loglog_nat_atTop)
apply squeeze_zero' (Eventually.of_forall (fun n =>
mul_nonneg (Real.log_natCast_nonneg n) (Real.exp_pos _).le)) ?_ hexp
filter_upwards [loglog_nat_atTop.eventually (eventually_superlinear_power hk),
loglog_nat_atTop.eventually (eventually_ge_atTop (1 : ℝ)),
eventually_ge_atTop (2 : ℕ)] with n hpow hs hn
have hnlog : 0 < Real.log (n : ℝ) := Real.log_pos (by exact_mod_cast hn)
have hs0 : 0 ≤ Real.log (Real.log (n : ℝ)) := le_trans zero_le_one hs
have hceil := Nat.le_ceil ((Real.log (Real.log (n : ℝ)))^2)
have hcappow : (Real.log (Real.log (n : ℝ)))^(7/5 : ℝ) ≤
(firstSize n : ℝ)^(70/100 : ℝ) := by
have hh := Real.rpow_le_rpow (sq_nonneg (Real.log (Real.log (n : ℝ)))) hceil
(by norm_num : (0 : ℝ) ≤ 70/100)
rw [←Real.rpow_natCast _ 2,←Real.rpow_mul hs0] at hh
norm_num at hh
simpa only [firstSize,show (70/100 : ℝ)=(7/10 : ℝ) by norm_num] using hh
conv_lhs => rw [←Real.exp_log hnlog,←Real.exp_add]
apply Real.exp_le_exp.mpr
nlinarith [mul_le_mul_of_nonneg_left hcappow hk.le]
end SingleLatticeCovering.FinalRates
noncomputable section
namespace SingleLatticeCovering.FinalRates
open Real Filter Topology Asymptotics
lemma eventually_log_power_bound (k : ℕ) {r ε : ℝ} (hr : 0 < r) (hε : 0 < ε) :
∀ᶠ n : ℕ in atTop, (Real.log (n : ℝ))^k ≤ ε*(n : ℝ)^r := by
have h : (fun n : ℕ => (Real.log (n : ℝ))^k) =o[atTop]
(fun n : ℕ => (n : ℝ)^r) := by
simpa only [Function.comp_def,Real.rpow_natCast] using
(isLittleO_log_rpow_rpow_atTop (k : ℝ) hr).comp_tendsto tendsto_natCast_atTop_atTop
filter_upwards [h.bound hε] with n hn
simpa only [Real.norm_eq_abs,abs_of_nonneg (pow_nonneg (Real.log_natCast_nonneg n) _),
abs_of_nonneg (Real.rpow_nonneg (Nat.cast_nonneg n) _)] using hn
lemma eventually_dimension_small {C : ℝ} (hC : 0 < C) :
∀ᶠ n : ℕ in atTop, ∀ D : ℕ, (D : ℝ) ≤ C*((firstSize n : ℝ)+1) →
(D : ℝ) ≤ Real.log (n : ℝ) ∧ (D : ℝ) ≤ (n : ℝ)/2 := by
filter_upwards [eventually_firstSize_le_log (inv_pos.mpr hC),
eventually_log_power_bound 1 (by norm_num : (0 : ℝ) < 1)
(by norm_num : (0 : ℝ) < 1/2)] with n hn hlog D hD
have hDl : (D : ℝ) ≤ Real.log (n : ℝ) := by
calc
_ ≤ C*((firstSize n : ℝ)+1) := hD
_ ≤ C*(C⁻¹*Real.log (n : ℝ)) := mul_le_mul_of_nonneg_left hn hC.le
_ = Real.log (n : ℝ) := by field_simp
refine ⟨hDl,hDl.trans ?_⟩
simpa only [pow_one,Real.rpow_one,one_div,mul_comm,div_eq_mul_inv,one_mul] using hlog
def eta (m : ℕ) : ℝ := (m : ℝ)/4*Real.log (27/16 : ℝ)-3*Real.log (m : ℝ)
lemma eta_linear_lower :
∀ᶠ m : ℕ in atTop, (Real.log (27/16 : ℝ)/8)*(m : ℝ) ≤ eta m := by
have hlog : 0 < Real.log (27/16 : ℝ) := Real.log_pos (by norm_num)
filter_upwards [eventually_log_power_bound 1 (by norm_num : (0 : ℝ) < 1)
(div_pos hlog (by norm_num : (0 : ℝ) < 24))] with m hm
simp only [pow_one,Real.rpow_one] at hm
dsimp [eta]
linarith
lemma eventually_cap_linear {k H ε : ℝ} (hk : 0 < k) (hH : 0 ≤ H) (hε : 0 < ε) :
∀ᶠ n : ℕ in atTop, ∀ m : ℕ, (n : ℝ)/2 ≤ m →
H*(n : ℝ)*Real.log (n : ℝ)*Real.exp (-k*(firstSize n : ℝ)^(70/100 : ℝ)) ≤ ε*m := by
have _ := hH
have ht : Tendsto (fun n : ℕ => H*(Real.log (n : ℝ)*
Real.exp (-k*(firstSize n : ℝ)^(70/100 : ℝ)))) atTop (𝓝 0) :=
by simpa only [mul_zero] using (cap_log_tendsto hk).const_mul H
filter_upwards [ht.eventually (gt_mem_nhds (half_pos hε))] with n hn m hm
calc
_ = (n : ℝ)*(H*(Real.log (n : ℝ)*Real.exp (-k*(firstSize n : ℝ)^(70/100 : ℝ)))) := by ring
_ ≤ (n : ℝ)*(ε/2) := mul_le_mul_of_nonneg_left hn.le (Nat.cast_nonneg n)
_ ≤ ε*m := by nlinarith
lemma eventually_cap_eta {C k H : ℝ} (hC : 0 < C) (hk : 0 < k) (hH : 0 ≤ H) :
∀ᶠ n : ℕ in atTop, ∀ D : ℕ, (D : ℝ) ≤ C*((firstSize n : ℝ)+1) →
D ≤ n ∧ H*(n : ℝ)*Real.log (n : ℝ)*
Real.exp (-k*(firstSize n : ℝ)^(70/100 : ℝ)) ≤ eta (n-D) := by
obtain ⟨M,hM⟩ := eventually_atTop.mp eta_linear_lower
have hlog : 0 < Real.log (27/16 : ℝ) := Real.log_pos (by norm_num)
filter_upwards [eventually_dimension_small hC,
eventually_cap_linear hk hH (div_pos hlog (by norm_num : (0 : ℝ) < 8)),
eventually_ge_atTop (2*M)] with n hD hn hnM D hdim
have hhalf := (hD D hdim).2
have hDn : D ≤ n := by exact_mod_cast (show (D : ℝ) ≤ n by linarith)
have hm : (n : ℝ)/2 ≤ (n-D : ℕ) := by rw [Nat.cast_sub hDn]; linarith
have hMm : M ≤ n-D := by
have hnMr : (2 : ℝ)*M ≤ n := by exact_mod_cast hnM
exact_mod_cast (show (M : ℝ) ≤ (n-D : ℕ) from by linarith)
exact ⟨hDn,(hn (n-D) hm).trans (hM _ hMm)⟩
lemma eventually_rpow_bound {a b ε : ℝ} (hab : a < b) (hε : 0 < ε) :
∀ᶠ n : ℕ in atTop, (n : ℝ)^a ≤ ε*(n : ℝ)^b := by
filter_upwards [((tendsto_rpow_atTop (sub_pos.mpr hab)).comp
tendsto_natCast_atTop_atTop).eventually (eventually_ge_atTop (1/ε)),
eventually_ge_atTop (1 : ℕ)] with n hn hn1
have hn0 : (0 : ℝ) < n := by exact_mod_cast hn1
have hm : 1 ≤ ε*(n : ℝ)^(b-a) := by
simpa only [Function.comp_def,mul_comm] using (div_le_iff₀ hε).mp hn
have he : (n : ℝ)^b=(n : ℝ)^a*(n : ℝ)^(b-a) := by
rw [←Real.rpow_add hn0]; congr 1; ring
rw [he]
nlinarith [mul_le_mul_of_nonneg_left hm (Real.rpow_pos_of_pos hn0 a).le]
lemma sqrt_nat_atTop : Tendsto (fun n : ℕ => Real.sqrt (n : ℝ)) atTop atTop := by
simpa only [Function.comp_def,Real.sqrt_eq_rpow] using
(tendsto_rpow_atTop (by norm_num : (0 : ℝ) < 1/2)).comp tendsto_natCast_atTop_atTop
lemma sqrt_half_bound {n m : ℕ} (hm : (n : ℝ)/2 ≤ m) :
Real.sqrt (n : ℝ) ≤ 2*Real.sqrt (m : ℝ) := by
have hn0 := Real.sqrt_nonneg (n : ℝ)
have hm0 := Real.sqrt_nonneg (m : ℝ)
have hn2 := Real.sq_sqrt (Nat.cast_nonneg n : (0 : ℝ) ≤ n)
have hm2 := Real.sq_sqrt (Nat.cast_nonneg m : (0 : ℝ) ≤ m)
nlinarith
lemma eventually_discard_bound {C ε : ℝ} (hC : 0 < C) (hε : 0 < ε) :
∀ᶠ n : ℕ in atTop, ∀ D m : ℕ, (D : ℝ) ≤ C*((firstSize n : ℝ)+1) → m ≤ n →
(2 : ℝ)^D*Real.sqrt (m : ℝ) ≤ ε*(n : ℝ)*Real.log (n : ℝ) := by
filter_upwards [eventually_dimension_power hC (by norm_num : (1 : ℝ) < 2)
(by norm_num : (0 : ℝ) < 1/4),
eventually_rpow_bound (by norm_num : (3/4 : ℝ) < 1) hε,
log_nat_atTop.eventually (eventually_ge_atTop (1 : ℝ)),
eventually_ge_atTop (1 : ℕ)] with n hp hr hlog hn1 D m hD hmn
have hn0 : (0 : ℝ) < n := by exact_mod_cast hn1
calc
_ ≤ (n : ℝ)^(1/4 : ℝ)*Real.sqrt (n : ℝ) :=
mul_le_mul (hp D hD) (Real.sqrt_le_sqrt (by exact_mod_cast hmn))
(Real.sqrt_nonneg _) (Real.rpow_pos_of_pos hn0 _).le
_ = (n : ℝ)^(3/4 : ℝ) := by
rw [Real.sqrt_eq_rpow,←Real.rpow_add hn0]; norm_num
_ ≤ ε*(n : ℝ) := by simpa only [Real.rpow_one] using hr
_ ≤ ε*(n : ℝ)*Real.log (n : ℝ) := le_mul_of_one_le_right (by positivity) hlog
lemma eventually_label_criterion {C Cs CR : ℝ} (hC : 0 < C) (hCs : 1 ≤ Cs) (hCR : 0 ≤ CR) :
∀ᶠ n : ℕ in atTop, ∀ D m : ℕ, (D : ℝ) ≤ C*((firstSize n : ℝ)+1) →
(n : ℝ)/2 ≤ m → m ≤ n →
(1+CR)*(Cs*(m : ℝ)^2)^D*Real.exp (-Real.sqrt (m : ℝ)/2) < 1 := by
have hCR1 : 0 < 1+CR := by linarith
have hCs0 : 0 < Cs := lt_of_lt_of_le zero_lt_one hCs
filter_upwards [eventually_dimension_small hC,
eventually_log_power_bound 2 (by norm_num : (0 : ℝ) < 1/2)
(by norm_num : (0 : ℝ) < 1/48),
sqrt_nat_atTop.eventually (eventually_ge_atTop (16*(Real.log (1+CR)+1))),
tendsto_natCast_atTop_atTop.eventually (eventually_ge_atTop Cs),
eventually_ge_atTop (2 : ℕ)] with n hdim hpoly hsqrt hCsn hn2 D m hD hm hmn
have hn1 : (1 : ℝ) ≤ n := by exact_mod_cast (show 1 ≤ n by omega)
have hm1 : (1 : ℝ) ≤ m := by
have hn2r : (2 : ℝ) ≤ n := by exact_mod_cast hn2
linarith
have hm0 : (0 : ℝ) < m := lt_of_lt_of_le zero_lt_one hm1
have hn0 : (0 : ℝ) < n := lt_of_lt_of_le zero_lt_one hn1
have hDl := (hdim D hD).1
have hlogm : Real.log (m : ℝ) ≤ Real.log (n : ℝ) := Real.log_le_log hm0 (by exact_mod_cast hmn)
have hlogC : Real.log Cs ≤ Real.log (n : ℝ) := Real.log_le_log hCs0 hCsn
have hlogm0 : 0 ≤ Real.log (m : ℝ) := Real.log_nonneg hm1
have hlogC0 : 0 ≤ Real.log Cs := Real.log_nonneg hCs
have hlogs : (D : ℝ)*(Real.log Cs+2*Real.log (m : ℝ)) ≤ 3*(Real.log (n : ℝ))^2 := by
calc
_ ≤ Real.log (n : ℝ)*(Real.log Cs+2*Real.log (m : ℝ)) :=
mul_le_mul_of_nonneg_right hDl (by linarith)
_ ≤ Real.log (n : ℝ)*(3*Real.log (n : ℝ)) :=
mul_le_mul_of_nonneg_left (by linarith) (Real.log_natCast_nonneg n)
_ = _ := by ring
rw [←Real.sqrt_eq_rpow] at hpoly
have hs := sqrt_half_bound hm
have hneg : Real.log (1+CR)+(D : ℝ)*(Real.log Cs+2*Real.log (m : ℝ))-
Real.sqrt (m : ℝ)/2 < 0 := by linarith [Real.sqrt_nonneg (m : ℝ)]
have he : (1+CR)*(Cs*(m : ℝ)^2)^D*Real.exp (-Real.sqrt (m : ℝ)/2) =
Real.exp (Real.log (1+CR)+(D : ℝ)*(Real.log Cs+2*Real.log (m : ℝ))-
Real.sqrt (m : ℝ)/2) := by
have hp : (Cs*(m : ℝ)^2)^D =
Real.exp ((D : ℝ)*(Real.log Cs+2*Real.log (m : ℝ))) := by
rw [Real.exp_nat_mul,Real.exp_add,Real.exp_log hCs0]
rw [show (2 : ℝ)*Real.log (m : ℝ)=Real.log ((m : ℝ)^2) by rw [Real.log_pow]; norm_num,
Real.exp_log (pow_pos hm0 2)]
calc
_ = Real.exp (Real.log (1+CR))*
Real.exp ((D : ℝ)*(Real.log Cs+2*Real.log (m : ℝ)))*
Real.exp (-Real.sqrt (m : ℝ)/2) := by rw [Real.exp_log hCR1,hp]
_ = _ := by rw [←Real.exp_add,←Real.exp_add]; congr 1; ring
rw [he]
exact Real.exp_lt_one_iff.mpr hneg
end SingleLatticeCovering.FinalRates
end
end
end
section
noncomputable section
namespace SingleLatticeCovering.Shear
open Real Filter Topology
open scoped BigOperators
def pointBudget {α : Type*} (A : ℕ → Finset ℝ) (s : Finset α) (D : ℕ) : ℕ :=
(s.card+1)*∏ j ∈ Finset.range D, ((A j).card+1)
lemma pointBudget_pos {α : Type*} (A : ℕ → Finset ℝ) (s : Finset α) (D : ℕ) :
0 < pointBudget A s D := by
dsimp [pointBudget]
exact Nat.mul_pos (by omega) (Finset.prod_pos (fun j hj => by omega))
lemma alphabetPoints_card_le_budget {α : Type*} (A : ℕ → Finset ℝ) (s : Finset α)
{q D : ℕ} (hq : q ≤ D) : (alphabetPoints A s q).card ≤ pointBudget A s D := by
classical
have hp : ∏ j ∈ Finset.range q, (A j).card ≤
∏ j ∈ Finset.range D, ((A j).card+1) := by
calc
_ ≤ ∏ j ∈ Finset.range q, ((A j).card+1) := Finset.prod_le_prod₀ (fun j hj => Nat.zero_le _) (fun j hj => Nat.le_succ _)
_ ≤ _ := Finset.prod_le_prod_of_subset_of_one_le₀ (Finset.range_mono hq) (fun j hj => Nat.zero_le _) (fun j hj _ => Nat.succ_pos _)
dsimp [alphabetPoints,pointBudget]
rw [Finset.card_product,Fintype.card_piFinset]
have he : (∏ i : Fin q, (A i.val).card) = ∏ j ∈ Finset.range q, (A j).card :=
Fin.prod_univ_eq_prod_range (fun j => (A j).card) q
rw [he]
exact le_trans (Nat.mul_le_mul_right s.card hp) (by simp [mul_comm])
def patternTotal {α : Type*} (A : ℕ → Finset ℝ) (s : Finset α) (D : ℕ) : ℕ :=
∑ q ∈ Finset.range (D+1), (allPatterns A s q).card
lemma patternTotal_bound {α : Type*} (A : ℕ → Finset ℝ) (s : Finset α) (D : ℕ) :
patternTotal A s D ≤ (D+1)*(pointBudget A s D+1)^(2^D) :=
allPatterns_total_bound A s D (pointBudget A s D) (fun _ hq => alphabetPoints_card_le_budget A s hq)
lemma log_pointBudget {α : Type*} (A : ℕ → Finset ℝ) (s : Finset α) (D : ℕ) :
Real.log (pointBudget A s D : ℝ) = Real.log (s.card+1 : ℝ)+
∑ j ∈ Finset.range D, Real.log ((A j).card+1 : ℝ) := by
simp only [pointBudget,Nat.cast_mul,Nat.cast_add,Nat.cast_one,Nat.cast_prod]
rw [Real.log_mul (by positivity) (by positivity),Real.log_prod]
intro j hj; positivity
lemma scalar_pattern_cost (D N Q : ℕ) (hN : 0 < N)
(hQ : Q ≤ (D+1)*(N+1)^(2^D)) :
(2 : ℝ)^D*Real.log (2*((Q : ℝ)+1)) ≤
(4 : ℝ)^D*(Real.log 8+Real.log ((D : ℝ)+1)+Real.log (N : ℝ)) := by
have hNr : (1 : ℝ) ≤ N := by exact_mod_cast hN
have hNp : (0 : ℝ) < N := lt_of_lt_of_le zero_lt_one hNr
have hD : (0 : ℝ) < (D : ℝ)+1 := by positivity
have hbase : (1 : ℝ) ≤ ((D : ℝ)+1)*((N : ℝ)+1)^(2^D) :=
one_le_mul_of_one_le_of_one_le (by linarith [(Nat.cast_nonneg D : (0 : ℝ) ≤ D)]) (one_le_pow₀ (by linarith))
have hQr : (Q : ℝ) ≤ ((D : ℝ)+1)*((N : ℝ)+1)^(2^D) := by exact_mod_cast hQ
have hl : Real.log (2*((Q : ℝ)+1)) ≤ Real.log 4+Real.log ((D : ℝ)+1)+
(2^D : ℕ)*Real.log ((N : ℝ)+1) := by
calc
_ ≤ Real.log (4*(((D : ℝ)+1)*((N : ℝ)+1)^(2^D))) :=
Real.log_le_log (by positivity) (by linarith)
_ = _ := by rw [Real.log_mul (by norm_num) (by positivity),
Real.log_mul hD.ne' (by positivity),Real.log_pow]; ring
have hNl : Real.log ((N : ℝ)+1) ≤ Real.log 2+Real.log (N : ℝ) := by
rw [←Real.log_mul (by norm_num) hNp.ne']
exact Real.log_le_log (by positivity) (by linarith)
have h2 : (1 : ℝ) ≤ (2 : ℝ)^D := one_le_pow₀ (by norm_num)
have hDl : 0 ≤ Real.log ((D : ℝ)+1) := Real.log_nonneg (by linarith [(Nat.cast_nonneg D : (0 : ℝ) ≤ D)])
have hNlog : 0 ≤ Real.log (N : ℝ) := Real.log_nonneg hNr
have h4log : 0 ≤ Real.log 4 := Real.log_nonneg (by norm_num)
have h2log : 0 ≤ Real.log 2 := Real.log_nonneg (by norm_num)
have hcast : ((2^D : ℕ) : ℝ)=(2 : ℝ)^D := by norm_cast
rw [hcast] at hl
have h24 : (2 : ℝ)^D*(2 : ℝ)^D=(4 : ℝ)^D := by rw [←mul_pow]; norm_num
have h8 : Real.log 8=Real.log 4+Real.log 2 := by
rw [←Real.log_mul (by norm_num) (by norm_num)]; norm_num
calc
_ ≤ (2 : ℝ)^D*(Real.log 4+Real.log ((D : ℝ)+1)+(2 : ℝ)^D*Real.log ((N : ℝ)+1)) :=
mul_le_mul_of_nonneg_left hl (by positivity)
_ ≤ (2 : ℝ)^D*((2 : ℝ)^D*(Real.log 4+Real.log ((D : ℝ)+1))+
(2 : ℝ)^D*(Real.log 2+Real.log (N : ℝ))) := by gcongr; nlinarith
_ = _ := by rw [h8,←h24]; ring
lemma all_pattern_cost {α : Type*} (A : ℕ → Finset ℝ) (s : Finset α) (D : ℕ) :
(2 : ℝ)^D*Real.log (2*((patternTotal A s D : ℝ)+1)) ≤
(4 : ℝ)^D*(Real.log 8+Real.log ((D : ℝ)+1)+Real.log (s.card+1 : ℝ)+
∑ j ∈ Finset.range D, Real.log ((A j).card+1 : ℝ)) := by
have h := scalar_pattern_cost D (pointBudget A s D) (patternTotal A s D)
(pointBudget_pos A s D) (patternTotal_bound A s D)
rw [log_pointBudget] at h
convert h using 1 ; ring
end SingleLatticeCovering.Shear
noncomputable section
namespace SingleLatticeCovering.Shear
open Real Filter Topology
open scoped BigOperators
lemma polynomial_pattern_cost {α : Type*} (A : ℕ → Finset ℝ) (s : Finset α)
(D : ℕ) {L CL CA : ℝ} (hL : 1 ≤ L) (hCL : 0 ≤ CL) (hCA : 0 ≤ CA)
(hD : (D : ℝ) ≤ L)
(hlabel : Real.log (s.card+1 : ℝ) ≤ CL*L^2)
(halphabet : ∀ j < D, Real.log ((A j).card+1 : ℝ) ≤ CA*L^2) :
(2 : ℝ)^D*Real.log (2*((patternTotal A s D : ℝ)+1)) ≤
(4 : ℝ)^D*(Real.log 8+1+CL+CA)*L^3 := by
have hs : ∑ j ∈ Finset.range D, Real.log ((A j).card+1 : ℝ) ≤ (D : ℝ)*(CA*L^2) := by
calc
_ ≤ ∑ j ∈ Finset.range D, CA*L^2 := Finset.sum_le_sum (fun j hj => halphabet j (Finset.mem_range.mp hj))
_ = _ := by simp [nsmul_eq_mul]
have hlogD : Real.log ((D : ℝ)+1) ≤ L := by
have hh := Real.log_le_sub_one_of_pos (show (0 : ℝ) < D+1 by positivity)
linarith
have h12 : L ≤ L^2 := by nlinarith
have h23 : L^2 ≤ L^3 := by nlinarith [sq_nonneg (L-1)]
have h01 : 0 ≤ Real.log 8 := Real.log_nonneg (by norm_num)
have hterm : Real.log 8+Real.log ((D : ℝ)+1)+Real.log (s.card+1 : ℝ)+
∑ j ∈ Finset.range D, Real.log ((A j).card+1 : ℝ) ≤ (Real.log 8+1+CL+CA)*L^3 := by
have hsd := mul_le_mul_of_nonneg_right hD (show 0 ≤ CA*L^2 by positivity)
have hlab := mul_le_mul_of_nonneg_left h23 hCL
have hc := mul_le_mul_of_nonneg_left (show 1 ≤ L^3 by nlinarith) h01
nlinarith
calc
_ ≤ (4 : ℝ)^D*(Real.log 8+Real.log ((D : ℝ)+1)+Real.log (s.card+1 : ℝ)+
∑ j ∈ Finset.range D, Real.log ((A j).card+1 : ℝ)) := all_pattern_cost A s D
_ ≤ _ := by nlinarith [mul_le_mul_of_nonneg_left hterm (show 0 ≤ (4 : ℝ)^D by positivity)]
lemma log_label_count {α : Type*} (s : Finset α) {D n : ℕ} {Cs : ℝ}
(hn : 1 ≤ Real.log (n : ℝ)) (hCs : 1 ≤ Cs) (hD : (D : ℝ) ≤ Real.log (n : ℝ))
(hs : (s.card : ℝ) ≤ (Cs*(n : ℝ)^2)^D) :
Real.log (s.card+1 : ℝ) ≤ (Real.log 2+Real.log Cs+2)*(Real.log (n : ℝ))^2 := by
have hn0 : (0 : ℝ) < n := by
by_contra h; have h0 : n=0 := by exact_mod_cast le_antisymm (le_of_not_gt h) (Nat.cast_nonneg n)
subst n; norm_num at hn
have hn1 : (1 : ℝ) ≤ n := by exact_mod_cast (show 1 ≤ n by exact_mod_cast (Nat.succ_le_iff.mpr (by exact_mod_cast hn0)))
have hp : 0 < Cs*(n : ℝ)^2 := by positivity
have hp1 : 1 ≤ (Cs*(n : ℝ)^2)^D := one_le_pow₀ (by nlinarith [sq_nonneg ((n : ℝ)-1)])
have hl : Real.log (s.card+1 : ℝ) ≤ Real.log 2+(D : ℝ)*(Real.log Cs+2*Real.log (n : ℝ)) := by
calc
_ ≤ Real.log (2*(Cs*(n : ℝ)^2)^D) := Real.log_le_log (by positivity) (by linarith)
_ = _ := by rw [Real.log_mul (by norm_num) (pow_pos hp _).ne',Real.log_pow,
Real.log_mul (by positivity) (by positivity),Real.log_pow]; ring
have hc : 0 ≤ Real.log Cs := Real.log_nonneg hCs
have hl2 : Real.log (n : ℝ) ≤ (Real.log (n : ℝ))^2 := by nlinarith
have h2 : 0 ≤ Real.log 2 := Real.log_nonneg (by norm_num)
have hh := mul_le_mul_of_nonneg_right hD (show 0 ≤ Real.log Cs+2*Real.log (n : ℝ) by linarith)
nlinarith [mul_le_mul_of_nonneg_left hl2 hc,
mul_le_mul_of_nonneg_left (show 1 ≤ (Real.log (n : ℝ))^2 by nlinarith) h2]
lemma log_alphabet_bound {b D : ℕ} {L : ℝ} (hL : 1 ≤ L)
(hD : (D : ℝ) ≤ L) (hb : (b : ℝ) ≤ L) :
Real.log 8+(D : ℝ)*Real.log ((D : ℝ)+2)+(b : ℝ)^2 ≤
(Real.log 8+3)*L^2 := by
have hlog : Real.log ((D : ℝ)+2) ≤ 2*L := by
have hh := Real.log_le_sub_one_of_pos (show (0 : ℝ) < D+2 by positivity)
linarith
have hp := mul_le_mul_of_nonneg_left hlog (Nat.cast_nonneg D)
have hD' := mul_le_mul_of_nonneg_right hD (show 0 ≤ 2*L by linarith)
have hb2 := pow_le_pow_left₀ (Nat.cast_nonneg b) hb 2
have hc := mul_le_mul_of_nonneg_left (show 1 ≤ L^2 by nlinarith)
(Real.log_nonneg (by norm_num : (1 : ℝ) ≤ 8))
nlinarith
lemma eventually_pattern_cost {C Cs ε : ℝ} (hC : 0 < C) (hCs : 1 ≤ Cs) (hε : 0 < ε) :
∀ᶠ n : ℕ in atTop, ∀ D : ℕ, (D : ℝ) ≤ C*((FinalRates.firstSize n : ℝ)+1) →
∀ {α : Type*} (s : Finset α) (A : ℕ → Finset ℝ),
(s.card : ℝ) ≤ (Cs*(n : ℝ)^2)^D →
(∀ j < D, Real.log ((A j).card+1 : ℝ) ≤
Real.log 8+(D : ℝ)*Real.log ((D : ℝ)+2)+(FinalRates.firstSize n : ℝ)^2) →
(2 : ℝ)^D*Real.log (2*((patternTotal A s D : ℝ)+1)) ≤ ε*(n : ℝ)*Real.log (n : ℝ) := by
let H := Real.log 8+1+(Real.log 2+Real.log Cs+2)+(Real.log 8+3)
have hH : 0 < H := by
dsimp [H]
linarith [Real.log_nonneg hCs,Real.log_nonneg (by norm_num : (1 : ℝ) ≤ 8),
Real.log_nonneg (by norm_num : (1 : ℝ) ≤ 2)]
filter_upwards [FinalRates.eventually_dimension_small hC,
FinalRates.eventually_dimension_power (C := C) (a := 4) (r := 1/2) hC (by norm_num) (by norm_num),
FinalRates.eventually_firstSize_le_log (c := 1) (by norm_num),
FinalRates.eventually_log_power_bound 3 (r := 1/2) (by norm_num) (div_pos hε hH),
FinalRates.log_nat_atTop.eventually (eventually_ge_atTop (1 : ℝ)),eventually_ge_atTop (1 : ℕ)]
with n hdim hpow hb hlog hn hn1
intro D hD α s A hs hA
have hDL := (hdim D hD).1
have hbL : (FinalRates.firstSize n : ℝ) ≤ Real.log (n : ℝ) := by linarith
have hc := polynomial_pattern_cost A s D hn
(show 0 ≤ Real.log 2+Real.log Cs+2 by linarith [Real.log_nonneg hCs,Real.log_nonneg (by norm_num : (1 : ℝ) ≤ 2)])
(show 0 ≤ Real.log 8+3 by linarith [Real.log_nonneg (by norm_num : (1 : ℝ) ≤ 8)]) hDL
(log_label_count s hn hCs hDL hs)
(fun j hj => (hA j hj).trans (log_alphabet_bound hn hDL hbL))
have hn0 : (0 : ℝ) ≤ n := Nat.cast_nonneg n
have he : (n : ℝ)^(1/2 : ℝ)*(n : ℝ)^(1/2 : ℝ)=(n : ℝ) := by
rw [←Real.rpow_add (show (0 : ℝ) < n by exact_mod_cast hn1)]
norm_num
calc
_ ≤ (4 : ℝ)^D*H*(Real.log (n : ℝ))^3 := hc
_ ≤ (n : ℝ)^(1/2 : ℝ)*H*((ε/H)*(n : ℝ)^(1/2 : ℝ)) := by gcongr; exact hpow D hD
_ = ε*(n : ℝ) := by calc
_ = ε*((n : ℝ)^(1/2 : ℝ)*(n : ℝ)^(1/2 : ℝ)) := by field_simp
_ = _ := by rw [he]
_ ≤ _ := le_mul_of_one_le_right (mul_nonneg hε.le hn0) hn
end SingleLatticeCovering.Shear
end
end
end
section
noncomputable section
namespace SingleLatticeCovering.FinalRates
open Real Filter Topology Shear
open scoped BigOperators
lemma exp_error {n : ℕ} (hn : 2 ≤ n) {cost : ℝ}
(hcost : cost ≤ (n : ℝ)*Real.log (n : ℝ)) :
Real.exp (cost-(8*(n : ℝ)*Real.log (n : ℝ))/2) ≤
1/(n : ℝ)^(2*n) := by
have hn0 : (0 : ℝ) < n := by exact_mod_cast (show 0 < n by omega)
have hlog : 0 ≤ Real.log (n : ℝ) := Real.log_nonneg (by exact_mod_cast (show 1 ≤ n by omega))
have hemp : cost-(8*(n : ℝ)*Real.log (n : ℝ))/2 ≤ -((2*n : ℕ) : ℝ)*Real.log (n : ℝ) := by
push_cast; nlinarith [mul_nonneg (Nat.cast_nonneg n) hlog]
apply (Real.exp_le_exp.mpr hemp).trans_eq
rw [neg_mul,Real.exp_neg,Real.exp_nat_mul,Real.exp_log hn0,one_div]
theorem final_conditions {C k csec Csec κ Cs CR : ℝ}
(hC : 0 < C) (hk : 0 < k) (hcsec : 0 < csec) (hCsec : 0 ≤ Csec)
(hκ : 0 < κ) (hCs : 1 ≤ Cs) (hCR : 0 ≤ CR) :
∃ Cstar : ℝ, 0 < Cstar ∧ ∀ᶠ n : ℕ in atTop,
2 ≤ n ∧ ∀ D : ℕ, (D : ℝ) ≤ C*((firstSize n : ℝ)+1) →
D ≤ n ∧ 2 ≤ n-D ∧
Csec*(Cstar*(n : ℝ)*Real.log (n : ℝ))*Real.exp (-k*(firstSize n : ℝ)^(70/100 : ℝ)) ≤ eta (n-D) ∧
8*(n : ℝ)*Real.log (n : ℝ)+(2 : ℝ)^D*Real.sqrt ((n-D : ℕ) : ℝ) ≤
csec*κ*(Cstar*(n : ℝ)*Real.log (n : ℝ)) ∧
(1+CR)*(Cs*((n-D : ℕ) : ℝ)^2)^D*Real.exp (-Real.sqrt ((n-D : ℕ) : ℝ)/2)<1 ∧
∀ {α : Type*} (s : Finset α) (A : ℕ → Finset ℝ),
(s.card : ℝ) ≤ (Cs*(n : ℝ)^2)^D →
(∀ j < D, Real.log ((A j).card+1 : ℝ) ≤
Real.log 8+(D : ℝ)*Real.log ((D : ℝ)+2)+(firstSize n : ℝ)^2) →
let Lstar := 2*((patternTotal A s D : ℝ)+1)
1 ≤ Lstar ∧ (patternTotal A s D : ℝ)<Lstar ∧
Real.exp ((2 : ℝ)^D*Real.log Lstar-(8*(n : ℝ)*Real.log (n : ℝ))/2) ≤
1/(n : ℝ)^(2*n) := by
let Cstar : ℝ := 16/(csec*κ)
have hstar : 0 < Cstar := div_pos (by norm_num) (mul_pos hcsec hκ)
have hprod : csec*κ*Cstar=16 := by dsimp [Cstar]; field_simp
refine ⟨Cstar,hstar,?_⟩
filter_upwards [eventually_cap_eta (C := C) (H := Csec*Cstar) hC hk (mul_nonneg hCsec hstar.le),
eventually_discard_bound (C := C) (ε := 8) hC (by norm_num),
eventually_label_criterion hC hCs hCR,
eventually_pattern_cost (C := C) (Cs := Cs) (ε := 1) hC hCs (by norm_num),
eventually_dimension_small hC,eventually_ge_atTop (4 : ℕ)] with n hcap hdiscard hlabel hpat hdim hn
refine ⟨by omega,?_⟩
intro D hD
have hDn := (hcap D hD).1
have hm : (n : ℝ)/2 ≤ ((n-D : ℕ) : ℝ) := by rw [Nat.cast_sub hDn]; linarith [(hdim D hD).2]
have hmn : n-D ≤ n := Nat.sub_le _ _
have hmh : (2 : ℝ) ≤ ((n-D : ℕ) : ℝ) := by
have hn4 : (4 : ℝ) ≤ n := by exact_mod_cast hn
linarith
refine ⟨hDn,by exact_mod_cast hmh,?_,?_,?_,?_⟩
· convert (hcap D hD).2 using 1 ; ring
· have hh := hdiscard D (n-D) hD hmn
have he : csec*κ*(Cstar*(n : ℝ)*Real.log (n : ℝ))=16*(n : ℝ)*Real.log (n : ℝ) := by
calc
_ = (csec*κ*Cstar)*(n : ℝ)*Real.log (n : ℝ) := by ring
_ = _ := by rw [hprod]
rw [he]; linarith
· exact hlabel D (n-D) hD hm hmn
· intro α s A hs hA
have hQ : 0 ≤ (patternTotal A s D : ℝ) := Nat.cast_nonneg _
refine ⟨by linarith,by linarith,?_⟩
exact exp_error (by omega) (by simpa using hpat D hD s A hs hA)
end SingleLatticeCovering.FinalRates
end
end
section
namespace SingleLatticeCovering.Horizontal
open MeasureTheory Filter
open scoped BigOperators ENNReal
lemma finite_threshold_selection {X I : Type*} [MeasurableSpace X]
(μ : Measure X) [IsProbabilityMeasure μ]
(s : Finset I) (f : I → X → ℝ≥0∞) (t b : I → ℝ≥0∞)
(hf : ∀ i ∈ s, Measurable (f i))
(ht0 : ∀ i ∈ s, t i ≠ 0) (htt : ∀ i ∈ s, t i ≠ ∞)
(hint : ∀ i ∈ s, ∫⁻ x, f i x ∂μ ≤ t i*b i)
(hsum : ∑ i ∈ s, b i < 1) :
∃ x, ∀ i ∈ s, f i x ≤ t i := by
classical
let F : X → ℝ≥0∞ := fun x => ∑ i ∈ s, (t i)⁻¹*f i x
have hF : ∫⁻ x, F x ∂μ < 1 := by
dsimp [F]
rw [lintegral_finsetSum s (fun i hi => (hf i hi).const_mul _)]
apply lt_of_le_of_lt _ hsum
apply Finset.sum_le_sum
intro i hi
rw [lintegral_const_mul _ (hf i hi)]
calc
_ ≤ (t i)⁻¹*(t i*b i) := mul_le_mul' le_rfl (hint i hi)
_ = b i := by rw [←mul_assoc,ENNReal.inv_mul_cancel (ht0 i hi) (htt i hi),one_mul]
have hsome : ∃ x, F x < 1 := by
by_contra h
push Not at h
have hh : (1 : ℝ≥0∞) ≤ ∫⁻ x, F x ∂μ := by
simpa using lintegral_mono (μ := μ) (fun x => h x)
exact (not_le_of_gt hF) hh
obtain ⟨x,hx⟩ := hsome
refine ⟨x,fun i hi => ?_⟩
have hix : (t i)⁻¹*f i x ≤ F x := by
exact Finset.single_le_sum (f := fun i => (t i)⁻¹*f i x) (fun j _ => bot_le) hi
have hmul : (t i)⁻¹*f i x ≤ 1 := hix.trans hx.le
have hm := mul_le_mul' (le_refl (t i)) hmul
simpa only [←mul_assoc,ENNReal.mul_inv_cancel (ht0 i hi) (htt i hi),one_mul,mul_one] using hm
lemma common_hole_sample {X I : Type*} [MeasurableSpace X]
(μ : Measure X) [IsProbabilityMeasure μ] (s : Finset I)
(hole : I → X → ℝ≥0∞) (u : I → ℝ) (C η : ℝ) (hC : 0 ≤ C)
(hhole : ∀ i ∈ s, Measurable (hole i))
(hu : ∀ i ∈ s, u i ≤ η)
(hmean : ∀ i ∈ s, ∫⁻ x, hole i x ∂μ ≤
ENNReal.ofReal (Real.exp (-u i)+C*Real.exp (-η)))
(hsum : (1+C)*(∑ i ∈ s, Real.exp (-u i/2)) < 1) :
∃ x, ∀ i ∈ s, hole i x ≤ ENNReal.ofReal (Real.exp (-u i/2)) := by
apply finite_threshold_selection μ s hole
(fun i => ENNReal.ofReal (Real.exp (-u i/2)))
(fun i => ENNReal.ofReal ((1+C)*Real.exp (-u i/2))) hhole
(fun _ _ => (ENNReal.ofReal_pos.mpr (Real.exp_pos _)).ne')
(fun _ _ => ENNReal.ofReal_ne_top)
· intro i hi
apply (hmean i hi).trans
rw [←ENNReal.ofReal_mul (Real.exp_pos _).le]
apply ENNReal.ofReal_le_ofReal
have he : Real.exp (-η) ≤ Real.exp (-u i) := Real.exp_le_exp.mpr (neg_le_neg (hu i hi))
have hsq : Real.exp (-u i/2)*Real.exp (-u i/2)=Real.exp (-u i) := by
rw [←Real.exp_add]; congr 1; ring
nlinarith [mul_le_mul_of_nonneg_left he hC]
· rw [←ENNReal.ofReal_sum_of_nonneg (fun i hi => mul_nonneg (by linarith) (Real.exp_pos _).le)]
rw [←Finset.mul_sum]
exact ENNReal.ofReal_lt_one.mpr hsum
end SingleLatticeCovering.Horizontal
end
section
noncomputable section
end
end
end
end OAI