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Add lean source and binary files (part 85)
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import OAI.LinearAlgebra.MatrixMultiplication.Separation.FiniteCover
import Mathlib.Algebra.Order.Floor.Semiring
import Mathlib.Analysis.SpecialFunctions.Log.Basic
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.NormNum
import Mathlib.Tactic.Ring
namespace OAI
/-! Finite orbit symmetries, masks and exact recovery operations. -/
noncomputable section
namespace MatrixMultiplication.RecoveryGrowth
open Filter
open scoped Topology BigOperators
def shiftCount (b C : ℝ) (N : ℕ) : ℕ :=
⌈(b + 1) * (N : ℝ) / Real.log ((N : ℝ) / (3 * C))⌉₊
def replicationCount (b C : ℝ) (N : ℕ) : ℕ :=
2 ^ (3 * shiftCount b C N)
theorem shiftCount_pos {b C : ℝ} {N : ℕ}
(hb : 0 ≤ b) (hC : 0 < C) (hN : 3 * C < (N : ℝ)) :
0 < shiftCount b C N := by
have hC3 : 0 < 3 * C := by linarith
have hN0 : 0 < (N : ℝ) := hC3.trans hN
have hlog : 0 < Real.log ((N : ℝ) / (3 * C)) :=
Real.log_pos ((one_lt_div hC3).2 hN)
exact Nat.ceil_pos.2 (div_pos (mul_pos (by linarith) hN0) hlog)
theorem support_loss_bound {b C : ℝ} {N : ℕ}
(hC : 0 < C) (hN : 3 * C < (N : ℝ)) :
Real.exp (b * N) * (3 * C / (N : ℝ)) ^ shiftCount b C N ≤
Real.exp (-(N : ℝ)) := by
have hC3 : 0 < 3 * C := by linarith
have hN0 : 0 < (N : ℝ) := hC3.trans hN
have hlog : 0 < Real.log ((N : ℝ) / (3 * C)) :=
Real.log_pos ((one_lt_div hC3).2 hN)
have hceil : (b + 1) * (N : ℝ) ≤
(shiftCount b C N : ℝ) * Real.log ((N : ℝ) / (3 * C)) := by
exact (div_le_iff₀ hlog).1 (Nat.le_ceil _)
have hbase : 3 * C / (N : ℝ) =
Real.exp (-Real.log ((N : ℝ) / (3 * C))) := by
rw [Real.exp_neg, Real.exp_log (div_pos hN0 hC3)]
simp
rw [hbase, ← Real.exp_nat_mul, ← Real.exp_add]
apply Real.exp_le_exp.mpr
nlinarith
theorem cardinal_budget {b C : ℝ} {N S t g : ℕ}
(hC : 0 < C) (hN : 3 * C < (N : ℝ)) (hg : 0 < g)
(hS : (S : ℝ) ≤ Real.exp (b * N))
(ht : (t : ℝ) / (g : ℝ) ≤ 3 * C / (N : ℝ)) :
S * t ^ shiftCount b C N < g ^ shiftCount b C N := by
have hgr : 0 < (g : ℝ) := by exact_mod_cast hg
have hN0 : 0 < (N : ℝ) := by linarith
have hpow := pow_le_pow_left₀
(div_nonneg (Nat.cast_nonneg t) hgr.le) ht (shiftCount b C N)
have hprob : (S : ℝ) * ((t : ℝ) / (g : ℝ)) ^ shiftCount b C N < 1 := by
calc
(S : ℝ) * ((t : ℝ) / (g : ℝ)) ^ shiftCount b C N ≤
Real.exp (b * N) * (3 * C / (N : ℝ)) ^ shiftCount b C N :=
mul_le_mul hS hpow (pow_nonneg (div_nonneg (Nat.cast_nonneg t) hgr.le) _)
(Real.exp_pos _).le
_ ≤ Real.exp (-(N : ℝ)) := support_loss_bound hC hN
_ < 1 := by rw [Real.exp_lt_one_iff]; linarith
rw [div_pow, ← mul_div_assoc] at hprob
have hreal := (div_lt_iff₀ (pow_pos hgr (shiftCount b C N))).1 hprob
simp only [one_mul] at hreal
exact_mod_cast hreal
theorem exists_cover {M G : Type*} [Fintype G] [Nonempty G]
[DecidableEq G] [DecidableEq M]
(s : Finset M) (good : G → M → Prop) [∀ g, DecidablePred (good g)]
{b C : ℝ} {N : ℕ} (hC : 0 < C) (hN : 3 * C < (N : ℝ))
(hs : (s.card : ℝ) ≤ Real.exp (b * N))
(hbad : ∀ m ∈ s,
((Finset.univ.filter fun g => ¬good g m).card : ℝ) / Fintype.card G ≤
3 * C / (N : ℝ)) :
∃ f : Fin (shiftCount b C N) → G, ∀ m ∈ s, ∃ i, good (f i) m := by
let t := ⌊(3 * C / (N : ℝ)) * Fintype.card G⌋₊
have hg : 0 < (Fintype.card G : ℝ) := by exact_mod_cast Fintype.card_pos
have harg : 0 ≤ (3 * C / (N : ℝ)) * Fintype.card G := by
exact mul_nonneg (div_nonneg (by linarith) (Nat.cast_nonneg N)) hg.le
apply FiniteCover.exists_cover s good t (shiftCount b C N)
· intro m hm
exact Nat.le_floor ((div_le_iff₀ hg).1 (hbad m hm))
· apply cardinal_budget hC hN Fintype.card_pos hs
exact (div_le_iff₀ hg).2 (Nat.floor_le harg)
theorem shiftCount_div_nat_le {b C : ℝ} {N : ℕ}
(hb : 0 < b) (hC : 0 < C) (hN : 3 * C < (N : ℝ)) :
(shiftCount b C N : ℝ) / (N : ℝ) ≤
(b + 1) / Real.log ((N : ℝ) / (3 * C)) + 1 / (N : ℝ) := by
have hC3 : 0 < 3 * C := by linarith
have hN0 : 0 < (N : ℝ) := hC3.trans hN
have hlog : 0 < Real.log ((N : ℝ) / (3 * C)) :=
Real.log_pos ((one_lt_div hC3).2 hN)
have harg : 0 ≤ (b + 1) * (N : ℝ) / Real.log ((N : ℝ) / (3 * C)) :=
div_nonneg (mul_nonneg (by linarith) hN0.le) hlog.le
have hceil := div_le_div_of_nonneg_right (Nat.ceil_lt_add_one harg).le hN0.le
change (shiftCount b C N : ℝ) / (N : ℝ) ≤ _ at hceil
convert hceil using 1
field_simp [hN0.ne', hlog.ne']
theorem tendsto_shiftCount_div_nat {b C : ℝ} (hb : 0 < b) (hC : 0 < C) :
Tendsto (fun N : ℕ => (shiftCount b C N : ℝ) / (N : ℝ)) atTop (𝓝 0) := by
have hnat : Tendsto (fun N : ℕ => (N : ℝ)) atTop atTop :=
tendsto_natCast_atTop_atTop
have hlog : Tendsto (fun N : ℕ => Real.log ((N : ℝ) / (3 * C))) atTop atTop :=
Real.tendsto_log_atTop.comp (hnat.atTop_div_const (by linarith))
have hmain : Tendsto (fun N : ℕ =>
(b + 1) / Real.log ((N : ℝ) / (3 * C))) atTop (𝓝 0) :=
tendsto_const_nhds.div_atTop hlog
have herr : Tendsto (fun N : ℕ => 1 / (N : ℝ)) atTop (𝓝 0) :=
tendsto_const_nhds.div_atTop hnat
apply tendsto_of_tendsto_of_tendsto_of_le_of_le' tendsto_const_nhds
(by simpa only [add_zero] using hmain.add herr)
· exact Eventually.of_forall fun N => div_nonneg (Nat.cast_nonneg _) (Nat.cast_nonneg _)
· filter_upwards [hnat.eventually_gt_atTop (3 * C)] with N hN
exact shiftCount_div_nat_le hb hC hN
theorem eventually_shiftCount_div_nat_le_log {b C : ℝ} (hb : 0 < b) (hC : 0 < C) :
∀ᶠ N : ℕ in atTop, (shiftCount b C N : ℝ) / (N : ℝ) ≤
(2 * b + 3) / Real.log (N : ℝ) := by
have hnat : Tendsto (fun N : ℕ => (N : ℝ)) atTop atTop :=
tendsto_natCast_atTop_atTop
have hlognat := Real.tendsto_log_atTop.comp hnat
filter_upwards [hnat.eventually_gt_atTop (3 * C), hnat.eventually_gt_atTop 1,
hlognat.eventually_ge_atTop (2 * Real.log (3 * C))] with N hN hN1 hlarge
change 2 * Real.log (3 * C) ≤ Real.log (N : ℝ) at hlarge
have hN0 : 0 < (N : ℝ) := lt_trans zero_lt_one hN1
have hC3 : 0 < 3 * C := by linarith
have hlog : 0 < Real.log (N : ℝ) := Real.log_pos hN1
have hden : 0 < Real.log ((N : ℝ) / (3 * C)) :=
Real.log_pos ((one_lt_div hC3).2 hN)
have hhalf : Real.log (N : ℝ) ≤ 2 * Real.log ((N : ℝ) / (3 * C)) := by
rw [Real.log_div hN0.ne' hC3.ne']
linarith
have hmain : (b + 1) / Real.log ((N : ℝ) / (3 * C)) ≤
(2 * (b + 1)) / Real.log (N : ℝ) := by
apply (div_le_div_iff₀ hden hlog).2
nlinarith [mul_le_mul_of_nonneg_left hhalf (show 0 ≤ b + 1 by linarith)]
have herr : 1 / (N : ℝ) ≤ 1 / Real.log (N : ℝ) :=
div_le_div_of_nonneg_left zero_le_one hlog (Real.log_le_self hN0.le)
calc
(shiftCount b C N : ℝ) / (N : ℝ) ≤
(b + 1) / Real.log ((N : ℝ) / (3 * C)) + 1 / (N : ℝ) :=
shiftCount_div_nat_le hb hC hN
_ ≤ (2 * (b + 1)) / Real.log (N : ℝ) + 1 / Real.log (N : ℝ) :=
add_le_add hmain herr
_ = (2 * b + 3) / Real.log (N : ℝ) := by ring
theorem log_replicationCount (b C : ℝ) (N : ℕ) :
Real.log (replicationCount b C N : ℝ) =
(3 * Real.log 2) * (shiftCount b C N : ℝ) := by
simp only [replicationCount, Nat.cast_pow, Real.log_pow, Nat.cast_mul, Nat.cast_ofNat]
ring
theorem eventually_log_replicationCount_div_nat_le_log {b C : ℝ}
(hb : 0 < b) (hC : 0 < C) :
∀ᶠ N : ℕ in atTop, Real.log (replicationCount b C N : ℝ) / (N : ℝ) ≤
(3 * Real.log 2 * (2 * b + 3)) / Real.log (N : ℝ) := by
filter_upwards [eventually_shiftCount_div_nat_le_log hb hC] with N hN
have hlog2 : 0 ≤ 3 * Real.log 2 :=
mul_nonneg (by norm_num) (Real.log_nonneg (by norm_num))
simpa only [log_replicationCount, mul_div_assoc] using
mul_le_mul_of_nonneg_left hN hlog2
theorem tendsto_log_replicationCount_div_nat {b C : ℝ} (hb : 0 < b) (hC : 0 < C) :
Tendsto (fun N : ℕ => Real.log (replicationCount b C N : ℝ) / (N : ℝ))
atTop (𝓝 0) := by
have h := (tendsto_shiftCount_div_nat hb hC).const_mul (3 * Real.log 2)
simp only [mul_zero] at h
convert h using 1
ext N
simp only [log_replicationCount]
ring
theorem eventually_replicationCount_le_exp {b C ε : ℝ}
(hb : 0 < b) (hC : 0 < C) (hε : 0 < ε) :
∀ᶠ N : ℕ in atTop, (replicationCount b C N : ℝ) ≤ Real.exp (ε * N) := by
filter_upwards [(tendsto_log_replicationCount_div_nat hb hC).eventually_lt_const hε,
eventually_gt_atTop (0 : ℕ)] with N hrate hN
have hN0 : 0 < (N : ℝ) := by exact_mod_cast hN
have hrep : 0 < (replicationCount b C N : ℝ) := by
simp only [replicationCount, Nat.cast_pow, Nat.cast_ofNat]
exact pow_pos (by norm_num) _
exact (Real.log_le_iff_le_exp hrep).1 ((div_lt_iff₀ hN0).1 hrate).le
theorem tendsto_log_prod_div_nat {J : Type*} (s : Finset J)
{r : J → ℕ → ℕ}
(hr : ∀ j ∈ s, ∀ N, 0 < r j N)
(hlim : ∀ j ∈ s, Tendsto (fun N => Real.log (r j N : ℝ) / (N : ℝ))
atTop (𝓝 0)) :
Tendsto (fun N => Real.log ((∏ j ∈ s, r j N : ℕ) : ℝ) / (N : ℝ))
atTop (𝓝 0) := by
have hsum := tendsto_finsetSum s hlim
simp only [Finset.sum_const_zero] at hsum
apply hsum.congr
intro N
rw [Nat.cast_prod, Real.log_prod (s := s) (f := fun j => (r j N : ℝ))
(fun j hj => Nat.cast_ne_zero.mpr (Nat.ne_of_gt (hr j hj N)))]
simp only [div_eq_mul_inv, Finset.sum_mul]
end MatrixMultiplication.RecoveryGrowth
end
end OAI