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import Mathlib
import OAI.Probability.CoordinateSweeps.Conditioning
import OAI.Probability.CoordinateSweeps.SparseBound
namespace OAI
/-!
Work on the genuinely missing main statements of the pinned manuscript.
All definitions are finite and use the source's ordinary probability and trace
normalizations. No result of the manuscript is assumed.
-/
noncomputable section
open scoped BigOperators Matrix.Norms.L2Operator ComplexOrder
attribute [local instance] Classical.propDecidable
namespace CoordinateSweeps.Grid
/- Any cut retains exactly the ordered bit list; no coordinate permutation is
introduced into the sweep law. -/
lemma exists_concat_of_length (G : Grid) (n m : ℕ) (hn : 0 < n) (hm : 0 < m)
(hb : G.b=n+m) : ∃ A B : Grid, A.b=n ∧ B.b=m ∧ concat A B=G := by
rcases G with ⟨b,hpos,bits⟩
dsimp only at hb
subst b
let A : Grid := ⟨n,hn,fun i => bits (Fin.castAdd m i)⟩
let B : Grid := ⟨m,hm,fun i => bits (Fin.natAdd n i)⟩
refine ⟨A,B,rfl,rfl,?_⟩
have he : Fin.addCases A.bits B.bits=bits := by
funext i
induction i using Fin.addCases with
| left i => simp [A]
| right i => simp [B]
change Grid.mk (n+m) _ (Fin.addCases A.bits B.bits)=Grid.mk (n+m) _ bits
rw [he]
/- Cutting the coordinate list in half is balanced because every bit count is
between r and 2r. This avoids choosing a cut by logarithmic rounding. -/
lemma exists_half_concat (G : Grid) (hb : 2 ≤ G.b) :
∃ A B : Grid, concat A B=G ∧ A.b<G.b ∧ B.b<G.b ∧ A.b≤B.b ∧ B.b≤2*A.b := by
let n := G.b/2
let m := G.b-n
have hn : 0 < n := by dsimp [n]; omega
have hm : 0 < m := by dsimp [m,n]; omega
obtain ⟨A,B,hA,hB,hG⟩ := G.exists_concat_of_length n m hn hm (by dsimp [n,m]; omega)
refine ⟨A,B,hG,?_,?_,?_,?_⟩
all_goals simp only [hA,hB]
all_goals (dsimp [n,m] at *; omega)
-- Reused archived grid logarithm support (InductionBase:858--881).
lemma balanced_logs {A B : Grid} {r : ℕ} (hA : A.Allowed r) (hB : B.Allowed r)
(hAB : A.b≤B.b) (hBA : B.b≤2*A.b) :
(1/5 : ℝ)*Real.log (concat A B).size ≤ Real.log A.size ∧
Real.log A.size ≤ (4/5 : ℝ)*Real.log (concat A B).size ∧
(1/5 : ℝ)*Real.log (concat A B).size ≤ Real.log B.size ∧
Real.log B.size ≤ (4/5 : ℝ)*Real.log (concat A B).size := by
rw [concat_size,Nat.cast_mul,Real.log_mul (Nat.cast_ne_zero.mpr A.size_pos.ne')
(Nat.cast_ne_zero.mpr B.size_pos.ne')]
have ha := A.log_size_lower hA
have hb := B.log_size_lower hB
have hau := A.log_size_upper hA
have hbu := B.log_size_upper hB
have hab : (A.b : ℝ)≤B.b := by exact_mod_cast hAB
have hba : (B.b : ℝ)≤2*A.b := by exact_mod_cast hBA
have hr : 0 ≤ (r : ℝ)*Real.log 2 := mul_nonneg (Nat.cast_nonneg _) (Real.log_nonneg (by norm_num))
have hab' := mul_le_mul_of_nonneg_right hab hr
have hba' := mul_le_mul_of_nonneg_right hba hr
have hn := Real.log_nonneg (show (1 : ℝ) ≤ B.size by exact_mod_cast B.size_pos)
constructor
· nlinarith
constructor
· nlinarith
constructor <;> nlinarith
lemma balanced_sizes {A B : Grid} {r : ℕ} (hA : A.Allowed r) (hB : B.Allowed r)
(hAB : A.b≤B.b) (hBA : B.b≤2*A.b) :
((concat A B).size : ℝ)^((1:ℝ)/5) ≤ A.size ∧
(A.size : ℝ) ≤ ((concat A B).size : ℝ)^((4:ℝ)/5) ∧
((concat A B).size : ℝ)^((1:ℝ)/5) ≤ B.size ∧
(B.size : ℝ) ≤ ((concat A B).size : ℝ)^((4:ℝ)/5) := by
have hh := balanced_logs hA hB hAB hBA
have hs : (0:ℝ)<(concat A B).size := Nat.cast_pos.mpr (concat A B).size_pos
have ha : (0:ℝ)<A.size := Nat.cast_pos.mpr A.size_pos
have hb : (0:ℝ)<B.size := Nat.cast_pos.mpr B.size_pos
rw [Real.rpow_def_of_pos hs,Real.rpow_def_of_pos hs]
constructor
· simpa only [Real.exp_log ha,mul_comm] using Real.exp_le_exp.mpr hh.1
constructor
· simpa only [Real.exp_log ha,mul_comm] using Real.exp_le_exp.mpr hh.2.1
constructor
· simpa only [Real.exp_log hb,mul_comm] using Real.exp_le_exp.mpr hh.2.2.1
· simpa only [Real.exp_log hb,mul_comm] using Real.exp_le_exp.mpr hh.2.2.2
end CoordinateSweeps.Grid
end
noncomputable section
open scoped BigOperators
open Filter Asymptotics
namespace CoordinateSweeps
-- Literal source constants (ConditionalTarget:509--514), not new hypotheses.
namespace ScalarInduction
/- A fixed polynomial logarithmic loss is uniformly negligible compared
with any strictly larger power, the quantitative choice needed in06. -/
lemma eventually_log_power_bound (u v r C : ℝ) (huv : u < v) (hC : 0 < C) :
∀ᶠ s : ℝ in atTop, 0 < s ∧ s^u*(Real.log s)^r ≤ C*s^v := by
have hh := (isLittleO_log_rpow_rpow_atTop r (sub_pos.mpr huv)).bound hC
filter_upwards [hh,eventually_gt_atTop (1:ℝ)] with s hs hs1
have hs0 : 0 < s := lt_trans zero_lt_one hs1
have hl : 0 ≤ Real.log s := Real.log_nonneg hs1.le
rw [Real.norm_eq_abs,Real.norm_eq_abs,abs_of_nonneg (Real.rpow_nonneg hl r),
abs_of_nonneg (Real.rpow_nonneg hs0.le (v-u))] at hs
refine ⟨hs0,?_⟩
have hm := mul_le_mul_of_nonneg_left hs (Real.rpow_nonneg hs0.le u)
calc
_ ≤ s^u*(C*s^(v-u)) := hm
_ = C*s^v := by rw [← mul_assoc,mul_comm (s^u) C,mul_assoc,← Real.rpow_add hs0]; congr 2; ring
lemma eventually_constant_le_power (ε C : ℝ) (hε : 0 < ε) :
∀ᶠ s : ℝ in atTop, C ≤ s^ε :=
(tendsto_atTop.1 (tendsto_rpow_atTop hε)) C
lemma eventually_absorb_hook (q : ℕ) :
∀ᶠ s : ℝ in atTop, 1 < s ∧
(((2*q+1 : ℕ):ℝ)*4+82*c0)*2*s^((4:ℝ)/5+2*a)*Real.log (s+1) ≤ s^((9:ℝ)/10) := by
let C : ℝ := (((2*q+1 : ℕ):ℝ)*4+82*c0)*4
have hC : 0 < C := by dsimp [C,c0,a]; positivity
have hp := eventually_log_power_bound ((4:ℝ)/5+2*a) ((9:ℝ)/10) 1 (1/C)
(by norm_num [a]) (by positivity)
filter_upwards [hp,eventually_ge_atTop (2:ℝ)] with s hs hs2
refine ⟨by linarith,?_⟩
have hl : Real.log (s+1) ≤ 2*Real.log s := by
calc
Real.log (s+1) ≤ Real.log (s*s) :=
Real.log_le_log (by linarith) (by nlinarith)
_ = 2*Real.log s := by rw [Real.log_mul hs.1.ne' hs.1.ne']; ring
have hm := mul_le_mul_of_nonneg_left hl
(show 0 ≤ (((2*q+1 : ℕ):ℝ)*4+82*c0)*2*s^((4:ℝ)/5+2*a) by
dsimp [c0,a]; positivity)
have hh := mul_le_mul_of_nonneg_left hs.2 hC.le
simp only [Real.rpow_one] at hh
have hc : C*(1/C)=1 := mul_one_div_cancel hC.ne'
calc
_ ≤ (((2*q+1 : ℕ):ℝ)*4+82*c0)*2*s^((4:ℝ)/5+2*a)*(2*Real.log s) := hm
_ = C*(s^((4:ℝ)/5+2*a)*Real.log s) := by dsimp [C]; ring
_ ≤ s^((9:ℝ)/10) := by simpa only [← mul_assoc,hc,one_mul] using hh
lemma eventually_absorb_removed :
∀ᶠ s : ℝ in atTop, 1 < s ∧
s^((9:ℝ)/10)+s^(1-a/2)*Real.log s ≤ s^(1-a/4)/(20*Real.sqrt (Real.log s)) := by
have h1 := eventually_log_power_bound ((9:ℝ)/10) (1-a/4) ((1:ℝ)/2) (1/40)
(by norm_num [a]) (by norm_num)
have h2 := eventually_log_power_bound (1-a/2) (1-a/4) ((3:ℝ)/2) (1/40)
(by norm_num [a]) (by norm_num)
filter_upwards [h1,h2,eventually_gt_atTop (1:ℝ)] with s h₁ h₂ hs
refine ⟨hs,?_⟩
have hlog : 0 < Real.log s := Real.log_pos hs
have hroot : 0 < Real.sqrt (Real.log s) := Real.sqrt_pos.mpr hlog
have he : Real.log s*Real.sqrt (Real.log s)=(Real.log s)^((3:ℝ)/2) := by
rw [Real.sqrt_eq_rpow]
nth_rw 1 [← Real.rpow_one (Real.log s)]
rw [← Real.rpow_add hlog]
norm_num
rw [← Real.sqrt_eq_rpow] at h₁
apply (le_div_iff₀ (by positivity : 0 < 20*Real.sqrt (Real.log s))).mpr
have hh : s^((9:ℝ)/10)*Real.sqrt (Real.log s)+
s^(1-a/2)*Real.log s*Real.sqrt (Real.log s) ≤ (1/20)*s^(1-a/4) := by
rw [mul_assoc,he]
linarith [h₁.2,h₂.2]
nlinarith
/- Scalar endgame after the *actual* induced placement-cycle estimate.
All representation/path data enter only through their already derived
entropies, multiplicity and cost inequalities. -/
theorem removed_endgame (L F Fg Fd k h b C : ℝ) (_ : ℝ) (err : ℝ)
(hL : 0 < L) (_ : 0 ≤ F) (hh : 0 ≤ h) (_ : 0 ≤ k)
(hD : F ≤ Fg+k*L) (hroot : 0 < Real.sqrt L)
(hcost : (c0+e0)*k*L+Real.log 4*k*b-Fd+err ≤ F/(20*Real.sqrt L)) :
-(c0+1/Real.sqrt L+1/(20*Real.sqrt L))*Fg+
(e0-1/Real.sqrt L-1/(20*Real.sqrt L))*(h+k)*L+err-C+Real.log 4*k*b-Fd ≤
-(c0+1/Real.sqrt L)*F+(e0-1/Real.sqrt L)*h*L-C := by
have hc0 : 0 ≤ c0 := by norm_num [c0,a]
have hc : 0 ≤ c0+1/Real.sqrt L+1/(20*Real.sqrt L) :=
add_nonneg (add_nonneg hc0 (one_div_nonneg.mpr hroot.le)) (by positivity)
have hmain := mul_le_mul_of_nonneg_left hD hc
have hhole : 0 ≤ (1/(20*Real.sqrt L))*h*L := by positivity
have hscale : (1/(20*Real.sqrt L))*F=F/(20*Real.sqrt L) := by ring
rw [← hscale] at hcost
nlinarith
/- Child coefficient improvement from a balanced nontrivial split. -/
lemma reciprocal_sqrt_gap {L t : ℝ} (hL : 0 < L) (ht : 0 < t) (htL : t ≤ (4/5)*L) :
(11/10 : ℝ)/Real.sqrt L ≤ 1/Real.sqrt t := by
have hLr := Real.sqrt_pos.mpr hL
have htr := Real.sqrt_pos.mpr ht
have hsqL := Real.sq_sqrt hL.le
have hsqt := Real.sq_sqrt ht.le
apply (div_le_div_iff₀ hLr htr).mpr
nlinarith [sq_nonneg ((11/10 : ℝ)*Real.sqrt t-Real.sqrt L)]
lemma hook_comparison {L F h cStar eStar E : ℝ} (hL : 0 < L) (hF : 0 ≤ F) (hh : 0 ≤ h)
(hc : c0+1/Real.sqrt L+1/(20*Real.sqrt L) ≤ cStar)
(he : eStar+cStar/L ≤ e0-1/Real.sqrt L-1/(20*Real.sqrt L)) :
-cStar*F+eStar*h*L+cStar*h+E ≤
-(c0+1/Real.sqrt L+1/(20*Real.sqrt L))*F+
(e0-1/Real.sqrt L-1/(20*Real.sqrt L))*h*L+E := by
have h1 := mul_le_mul_of_nonneg_right hc hF
have h2 := mul_le_mul_of_nonneg_right he (mul_nonneg hh hL.le)
have heq : cStar/L*(h*L)=cStar*h := by field_simp
rw [add_mul,heq] at h2
nlinarith
end ScalarInduction
end CoordinateSweeps
end
noncomputable section
open scoped BigOperators
open Filter Asymptotics
namespace CoordinateSweeps.ScalarInduction
lemma hook_error_bound {s : ℝ} (hs : 1 < s) (q A B p : ℕ) (cStar : ℝ)
(hc : 0 ≤ cStar) (hc' : cStar ≤ 2*c0)
(hA : (A:ℝ) ≤ s^((4:ℝ)/5)) (hB : (B:ℝ) ≤ s^((4:ℝ)/5))
(hp : (p:ℝ) ≤ s^a) :
(((2*q+1:ℕ):ℝ)*((A+B)*((2*p)*(2*p)):ℕ)+cStar*((A+B)*(41*p^2):ℕ))*Real.log (s+1) ≤
(((2*q+1:ℕ):ℝ)*4+82*c0)*2*s^((4:ℝ)/5+2*a)*Real.log (s+1) := by
have hs0 : 0<s := by linarith
have hp2 : (p:ℝ)^2 ≤ s^(2*a) := by
have hh := pow_le_pow_left₀ (Nat.cast_nonneg p : (0:ℝ)≤p) hp 2
rw [← Real.rpow_natCast (s^a) 2,← Real.rpow_mul hs0.le] at hh
norm_num only [Nat.cast_ofNat] at hh
simpa only [mul_comm a 2] using hh
have hAB : (A:ℝ)+B ≤ 2*s^((4:ℝ)/5) := by linarith
have hc0 : 0≤c0 := by linarith [hc, hc']
have h := mul_le_mul hAB hp2 (by positivity : (0:ℝ)≤(p:ℝ)^2)
(by positivity : (0:ℝ)≤2*s^((4:ℝ)/5))
rw [mul_assoc,←Real.rpow_add hs0] at h
have h' := mul_le_mul_of_nonneg_left h (show 0≤((2*q+1:ℕ):ℝ)*4+82*c0 by positivity)
have hc'' := mul_le_mul_of_nonneg_right hc' (show 0≤((A:ℝ)+B)*41*(p:ℝ)^2 by positivity)
apply mul_le_mul_of_nonneg_right _ (Real.log_nonneg (by linarith : 1≤ s+1))
push_cast
push_cast at h'
nlinarith
structure MainSizeReady (q : ℕ) (s : ℝ) : Prop where
one : 1 ≤ Real.log s
sparse : (100004:ℝ)*s^(1-a/4) ≤ s^(1-(1:ℝ)/1600)
hook : (((2*q+1:ℕ):ℝ)*4+82*c0)*2*s^((4:ℝ)/5+2*a)*Real.log (s+1) ≤ s^((9:ℝ)/10)
removed : s^((9:ℝ)/10)+s^(1-a/2)*Real.log s ≤ s^(1-a/4)/(20*Real.sqrt (Real.log s))
lemma eventually_mainSizeReady (q : ℕ) : ∀ᶠ s : ℝ in atTop, MainSizeReady q s := by
have hpow := eventually_constant_le_power (a/4-1/1600) 100004 (by norm_num [a])
filter_upwards [hpow,Real.tendsto_log_atTop.eventually (eventually_ge_atTop (1:ℝ)),
eventually_absorb_hook q,eventually_absorb_removed] with s hp hL hh hr
refine ⟨hL,?_,hh.2,hr.2⟩
calc
_ ≤ s^(a/4-1/1600)*s^(1-a/4) := mul_le_mul_of_nonneg_right hp (Real.rpow_nonneg (by linarith [hh.1]) _)
_ = _ := by rw [←Real.rpow_add (by linarith [hh.1] : 0<s)]; congr 1; ring
lemma improved_coefficients {L t : ℝ} (hL : 0<L) (ht : 0<t) (htL : t≤(4/5)*L) :
c0+(11/10:ℝ)/Real.sqrt L ≤ c0+1/Real.sqrt t ∧
e0-1/Real.sqrt t ≤ e0-(11/10:ℝ)/Real.sqrt L := by
have hh := reciprocal_sqrt_gap hL ht htL
constructor <;> linarith
lemma hook_strengthening {L : ℝ} (hL : 0<L) (hroot : 2/e0 ≤ Real.sqrt L)
(hc : c0+(11/10:ℝ)/Real.sqrt L ≤ 2*c0) :
c0+1/Real.sqrt L+1/(20*Real.sqrt L) ≤ c0+(11/10:ℝ)/Real.sqrt L ∧
e0-(11/10:ℝ)/Real.sqrt L+(c0+(11/10:ℝ)/Real.sqrt L)/L ≤
e0-1/Real.sqrt L-1/(20*Real.sqrt L) := by
have hR : 0<Real.sqrt L := Real.sqrt_pos.mpr hL
have hs := Real.sq_sqrt hL.le
have hsmall : 20*(c0+(11/10:ℝ)/Real.sqrt L) ≤ Real.sqrt L := by
have hc0 : 40*c0 ≤ 2/e0 := by norm_num [c0,e0,a]
linarith
constructor
· field_simp
nlinarith
· have hx : (c0+(11/10:ℝ)/Real.sqrt L)/L ≤ 1/(20*Real.sqrt L) := by
apply (div_le_div_iff₀ hL (by positivity)).mpr
have hm := mul_le_mul_of_nonneg_right hsmall hR.le
nlinarith
have he : (11/10:ℝ)/Real.sqrt L=1/Real.sqrt L+2/(20*Real.sqrt L) := by field_simp; ring
rw [he] at hx ⊢
have hdiv : (2:ℝ)/(20*Real.sqrt L)=2*(1/(20*Real.sqrt L)) := by ring
rw [hdiv] at hx ⊢
linarith
end CoordinateSweeps.ScalarInduction
namespace CoordinateSweeps.ScalarInduction
lemma removed_cost_bound {s k b F Fd : ℝ} {q : ℕ}
(hs : 1<s) (hk : 0≤k) (hb : 0≤b) (hb' : b≤(e0/4)*Real.log s)
(hF : s^(1-a/4)≤F) (hFd : 0≤Fd) (hS : MainSizeReady q s)
(hEnt : s^(1-a/2)≤k → (a/4)*k*Real.log s≤Fd) :
(c0+e0)*k*Real.log s+Real.log 4*k*b-Fd+s^((9:ℝ)/10) ≤ F/(20*Real.sqrt (Real.log s)) := by
have hL := Real.log_pos hs
have hroot : 0<Real.sqrt (Real.log s) := Real.sqrt_pos.mpr hL
have hl4 : Real.log 4≤3 := by
have hh:=Real.log_le_sub_one_of_pos (by norm_num : (0:ℝ)<4)
linarith
have hc : (c0+e0)*k*Real.log s+Real.log 4*k*b ≤ (a/4)*k*Real.log s := by
have hh := mul_le_mul_of_nonneg_right hl4 (mul_nonneg hk hb)
have hbK := mul_le_mul_of_nonneg_left hb' hk
norm_num [c0,e0,a] at hbK ⊢
nlinarith
have hR : s^((9:ℝ)/10)+s^(1-a/2)*Real.log s ≤ F/(20*Real.sqrt (Real.log s)) :=
hS.removed.trans (div_le_div_of_nonneg_right hF (by positivity))
by_cases h : s^(1-a/2)≤k
· have ht := hEnt h
have hp := Real.rpow_nonneg (by linarith : 0≤ s) (1-a/2)
nlinarith [mul_nonneg hp hL.le]
· have ht : k*Real.log s ≤ s^(1-a/2)*Real.log s := mul_le_mul_of_nonneg_right (le_of_not_ge h) hL.le
have hh : (a/4)*k*Real.log s ≤ k*Real.log s := by
have hkp:=mul_nonneg hk hL.le
norm_num [a]
nlinarith
linarith
end CoordinateSweeps.ScalarInduction
end
open scoped Matrix.Norms.L2Operator
end OAI