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import Mathlib.LinearAlgebra.Matrix.Determinant.Basic
import Mathlib.NumberTheory.Chebyshev
import Mathlib.NumberTheory.Zsqrtd.GaussianInt
import Mathlib.RingTheory.PowerSeries.Log
import Mathlib.RingTheory.PowerSeries.Trunc
import Mathlib.Tactic
namespace OAI
namespace PiExponent.Arithmetic
noncomputable def lcmConstant : ℝ := Real.log 4 + 4
theorem lcmConstant_pos : 0 < lcmConstant := by
have h : 0 < Real.log (4 : ℝ) := Real.log_pos (by norm_num)
dsimp [lcmConstant]
linarith
theorem log_lcmUpto_le (n : ℕ) :
Real.log (Nat.lcmUpto n : ℝ) ≤ lcmConstant * n := by
rw [← Chebyshev.psi_eq_log_lcmUpto]
exact Chebyshev.psi_le_const_mul_self (by positivity)
theorem gaussian_norm_one_le (z : GaussianInt) (hz : z ≠ 0) :
1 ≤ ‖(z : ℂ)‖ := by
have hi : (1 : ℤ) ≤ z.norm := (GaussianInt.norm_pos.mpr hz)
have hr : (1 : ℝ) ≤ (z.norm : ℝ) := by exact_mod_cast hi
rw [GaussianInt.intCast_real_norm, Complex.normSq_eq_norm_sq] at hr
have hn : 0 ≤ ‖(z : ℂ)‖ := norm_nonneg _
nlinarith
theorem gaussian_det_norm_one_le {ι : Type*} [Fintype ι] [DecidableEq ι]
(A : Matrix ι ι GaussianInt) (hA : A.det ≠ 0) :
1 ≤ ‖(A.map GaussianInt.toComplex).det‖ := by
change 1 ≤ ‖(GaussianInt.toComplex.mapMatrix A).det‖
rw [← RingHom.map_det]
exact gaussian_norm_one_le A.det hA
theorem det_row_column_scale {ι : Type*} [Fintype ι] [DecidableEq ι]
(A : Matrix ι ι ℂ) (r c : ι → ℂ) :
Matrix.det (fun i j => r i * (c j * A i j)) =
(∏ i, r i) * (∏ j, c j) * A.det := by
calc
_ = (∏ i, r i) * (Matrix.of fun i j => c j * A i j).det :=
Matrix.det_mul_column r (Matrix.of fun i j => c j * A i j)
_ = _ := by rw [Matrix.det_mul_row c A]; ring
theorem cleared_det_norm_bound {ι : Type*} [Fintype ι] [DecidableEq ι]
(A : Matrix ι ι ℂ) (B : Matrix ι ι GaussianInt)
(r c : ι → ℝ) (hr : ∀ i, 0 < r i) (hc : ∀ i, 0 < c i)
(hA : A.det ≠ 0)
(hB : B.map GaussianInt.toComplex = fun i j => (r i : ℂ) * ((c j : ℂ) * A i j)) :
1 ≤ (∏ i, r i) * (∏ j, c j) * ‖A.det‖ := by
have hd : (B.map GaussianInt.toComplex).det =
(∏ i, (r i : ℂ)) * (∏ j, (c j : ℂ)) * A.det := by
rw [hB, det_row_column_scale]
have hn : B.det ≠ 0 := by
intro he
have hz : (B.map GaussianInt.toComplex).det = 0 := by
change (GaussianInt.toComplex.mapMatrix B).det = 0
rw [← RingHom.map_det, he, map_zero]
rw [hd] at hz
have hr' : (∏ i, (r i : ℂ)) ≠ 0 := Finset.prod_ne_zero_iff.mpr (by
intro i hi
exact_mod_cast (hr i).ne')
have hc' : (∏ j, (c j : ℂ)) ≠ 0 := Finset.prod_ne_zero_iff.mpr (by
intro j hj
exact_mod_cast (hc j).ne')
exact mul_ne_zero (mul_ne_zero hr' hc') hA hz
have h := gaussian_det_norm_one_le B hn
rw [hd, norm_mul, norm_mul, norm_prod, norm_prod] at h
simpa only [Complex.norm_real, Real.norm_eq_abs, abs_of_pos (hr _),
abs_of_pos (hc _)] using h
theorem cleared_det_log_bound {ι : Type*} [Fintype ι] [DecidableEq ι]
(A : Matrix ι ι ℂ) (B : Matrix ι ι GaussianInt)
(r c : ι → ℝ) (hr : ∀ i, 0 < r i) (hc : ∀ i, 0 < c i)
(hA : A.det ≠ 0)
(hB : B.map GaussianInt.toComplex = fun i j => (r i : ℂ) * ((c j : ℂ) * A i j)) :
-(∑ i, Real.log (r i)) - ∑ j, Real.log (c j) ≤ Real.log ‖A.det‖ := by
have hrp : 0 < ∏ i, r i := Finset.prod_pos (by intro i hi; exact hr i)
have hcp : 0 < ∏ i, c i := Finset.prod_pos (by intro i hi; exact hc i)
have hn : 0 < ‖A.det‖ := norm_pos_iff.mpr hA
have h := Real.log_nonneg (cleared_det_norm_bound A B r c hr hc hA hB)
rw [Real.log_mul (mul_pos hrp hcp).ne' hn.ne', Real.log_mul hrp.ne' hcp.ne',
Real.log_prod (by intro i hi; exact (hr i).ne'),
Real.log_prod (by intro i hi; exact (hc i).ne')] at h
linarith
theorem log_lcm_power_product_le {ι : Type*} (s : Finset ι) (T e : ι → ℕ) :
Real.log (∏ i ∈ s, (Nat.lcmUpto (T i) : ℝ) ^ e i) ≤
lcmConstant * ∑ i ∈ s, (e i : ℝ) * T i := by
rw [Real.log_prod (by intro i hi; exact pow_ne_zero _ (by exact_mod_cast Nat.lcmUpto_ne_zero (T i)))]
simp_rw [Real.log_pow]
rw [Finset.mul_sum]
apply Finset.sum_le_sum
intro i hi
have h := mul_le_mul_of_nonneg_left (log_lcmUpto_le (T i)) (Nat.cast_nonneg (e i) : (0 : ℝ) ≤ e i)
nlinarith only [h]
theorem log_lcm_floor_product_le {ι : Type*} (s : Finset ι)
(T : ι → ℕ) (w : ι → ℝ) (H : ℝ) (hH : 0 ≤ H) (hw : ∀ i ∈ s, 0 < w i) :
Real.log (∏ i ∈ s, (Nat.lcmUpto (T i) : ℝ) ^ ⌊H / w i⌋₊) ≤
H * lcmConstant * ∑ i ∈ s, (T i : ℝ) / w i := by
calc
_ ≤ lcmConstant * ∑ i ∈ s, (⌊H / w i⌋₊ : ℝ) * T i :=
log_lcm_power_product_le s T _
_ ≤ lcmConstant * ∑ i ∈ s, (H / w i) * T i := by
apply mul_le_mul_of_nonneg_left _ lcmConstant_pos.le
apply Finset.sum_le_sum
intro i hi
apply mul_le_mul_of_nonneg_right _ (Nat.cast_nonneg (T i))
exact Nat.floor_le (div_nonneg hH (hw i hi).le)
_ = _ := by
rw [Finset.mul_sum, Finset.mul_sum]
apply Finset.sum_congr rfl
intro i hi
ring
theorem sum_ceil_truncation_div_le {ι : Type*} (s : Finset ι)
(w : ι → ℝ) (F v : ℝ) (hF : 0 ≤ F) (hv : 0 < v) (hw : ∀ i ∈ s, 0 < w i) :
(∑ i ∈ s, (⌈F * w i / v⌉₊ : ℝ) / w i) ≤
F * s.card / v + ∑ i ∈ s, 1 / w i := by
calc
_ ≤ ∑ i ∈ s, (F * w i / v + 1) / w i := by
apply Finset.sum_le_sum
intro i hi
apply div_le_div_of_nonneg_right _ (hw i hi).le
exact (Nat.ceil_lt_add_one (div_nonneg (mul_nonneg hF (hw i hi).le) hv.le)).le
_ = ∑ i ∈ s, (F / v + 1 / w i) := by
apply Finset.sum_congr rfl
intro i hi
field_simp [(hw i hi).ne', hv.ne']
_ = _ := by rw [Finset.sum_add_distrib, Finset.sum_const]; simp; ring
theorem truncation_denominator_log_le {ι : Type*} (s : Finset ι)
(w : ι → ℝ) (F v H : ℝ) (hF : 0 ≤ F) (hv : 0 < v) (hH : 0 < H)
(hw : ∀ i ∈ s, 0 < w i) :
Real.log (∏ i ∈ s,
(Nat.lcmUpto (⌈F * w i / v⌉₊) : ℝ) ^ ⌊H / w i⌋₊) / H ≤
lcmConstant * F * s.card / v + lcmConstant * ∑ i ∈ s, 1 / w i := by
apply (div_le_iff₀ hH).mpr
calc
_ ≤ H * lcmConstant * ∑ i ∈ s, (⌈F * w i / v⌉₊ : ℝ) / w i :=
log_lcm_floor_product_le s _ w H hH.le hw
_ ≤ H * lcmConstant * (F * s.card / v + ∑ i ∈ s, 1 / w i) := by
exact mul_le_mul_of_nonneg_left (sum_ceil_truncation_div_le s w F v hF hv hw)
(mul_pos hH lcmConstant_pos).le
_ = _ := by ring
theorem dvd_lcmUpto_of_pos_le {k T : ℕ} (hk : 0 < k) (hkT : k ≤ T) :
k ∣ Nat.lcmUpto T := by
exact Finset.dvd_lcm (f := id) (Finset.mem_Icc.mpr ⟨hk, hkT⟩)
theorem lcm_mul_log_coeff_gaussian (T k : ℕ) (hk : k ≤ T) :
(Nat.lcmUpto T : ℂ) * PowerSeries.coeff k (PowerSeries.log ℂ) ∈
GaussianInt.toComplex.range := by
by_cases hk0 : k = 0
· simp [hk0]
obtain ⟨m, hm⟩ := dvd_lcmUpto_of_pos_le (Nat.pos_of_ne_zero hk0) hk
refine ⟨((-1 : GaussianInt) ^ (k + 1)) * (m : GaussianInt), ?_⟩
rw [PowerSeries.coeff_log, ite_eq_right hk0, hm]
have hkC : (k : ℂ) ≠ 0 := by exact_mod_cast hk0
simp only [map_mul, map_pow, map_neg, map_one, map_natCast, map_div₀, Nat.cast_mul]
field_simp
theorem cleared_log_trunc_mem (T : ℕ) :
Polynomial.C (Nat.lcmUpto T : ℂ) * PowerSeries.trunc T (PowerSeries.log ℂ) ∈
(Polynomial.mapRingHom GaussianInt.toComplex).range := by
apply (Polynomial.mem_map_range GaussianInt.toComplex).mpr
intro k
rw [Polynomial.coeff_C_mul, PowerSeries.coeff_trunc]
split_ifs with hk
· exact lcm_mul_log_coeff_gaussian T k hk.le
· simp
theorem exists_cleared_log_trunc (T : ℕ) :
∃ P : Polynomial GaussianInt,
P.map GaussianInt.toComplex =
Polynomial.C (Nat.lcmUpto T : ℂ) * PowerSeries.trunc T (PowerSeries.log ℂ) :=
cleared_log_trunc_mem T
theorem gaussian_C_mem (z : GaussianInt) :
Polynomial.C (z : ℂ) ∈ (Polynomial.mapRingHom GaussianInt.toComplex).range := by
exact ⟨Polynomial.C z, by simp⟩
theorem cleared_shifted_log_trunc_mem (T q : ℕ) (z : GaussianInt) :
Polynomial.C (Nat.lcmUpto T : ℂ) *
(Polynomial.C (z : ℂ) + Polynomial.C (q : ℂ) *
PowerSeries.trunc T (PowerSeries.log ℂ)) ∈
(Polynomial.mapRingHom GaussianInt.toComplex).range := by
let S := (Polynomial.mapRingHom GaussianInt.toComplex).range
have hL : Polynomial.C (Nat.lcmUpto T : ℂ) ∈ S := by
simp
have hq : Polynomial.C (q : ℂ) ∈ S := by
simp
have hlog := cleared_log_trunc_mem T
have h := S.add_mem (S.mul_mem hL (gaussian_C_mem z)) (S.mul_mem hq hlog)
convert h using 1
ring
theorem cleared_polynomial_power_mem (L e d : ℕ) (f : Polynomial ℂ) (hd : d ≤ e)
(hf : Polynomial.C (L : ℂ) * f ∈ (Polynomial.mapRingHom GaussianInt.toComplex).range) :
Polynomial.C ((L : ℂ) ^ e) * f ^ d ∈
(Polynomial.mapRingHom GaussianInt.toComplex).range := by
let S := (Polynomial.mapRingHom GaussianInt.toComplex).range
have hL : Polynomial.C (L : ℂ) ∈ S := by
simp
have h := S.mul_mem (S.pow_mem hL (e - d)) (S.pow_mem hf d)
have he : e = (e - d) + d := (Nat.sub_add_cancel hd).symm
rw [he, map_pow, pow_add]
simpa only [mul_pow, mul_assoc] using h
theorem cleared_polynomial_product_mem {ι : Type*} (s : Finset ι)
(L e d : ι → ℕ) (f : ι → Polynomial ℂ) (hd : ∀ i ∈ s, d i ≤ e i)
(hf : ∀ i ∈ s, Polynomial.C (L i : ℂ) * f i ∈
(Polynomial.mapRingHom GaussianInt.toComplex).range) :
Polynomial.C (∏ i ∈ s, (L i : ℂ) ^ e i) * (∏ i ∈ s, f i ^ d i) ∈
(Polynomial.mapRingHom GaussianInt.toComplex).range := by
let S := (Polynomial.mapRingHom GaussianInt.toComplex).range
have h := S.prod_mem (fun i hi => cleared_polynomial_power_mem (L i) (e i) (d i)
(f i) (hd i hi) (hf i hi))
simpa only [← Finset.prod_mul_distrib, map_prod] using h
theorem common_denominator_coeff_gaussian {ι : Type*} (s : Finset ι)
(L e d : ι → ℕ) (f : ι → Polynomial ℂ) (P : Polynomial GaussianInt)
(hd : ∀ i ∈ s, d i ≤ e i)
(hf : ∀ i ∈ s, Polynomial.C (L i : ℂ) * f i ∈
(Polynomial.mapRingHom GaussianInt.toComplex).range) (k : ℕ) :
(∏ i ∈ s, (L i : ℂ) ^ e i) *
(P.map GaussianInt.toComplex * ∏ i ∈ s, f i ^ d i).coeff k ∈
GaussianInt.toComplex.range := by
let S := (Polynomial.mapRingHom GaussianInt.toComplex).range
have hP : P.map GaussianInt.toComplex ∈ S := ⟨P, rfl⟩
have h := S.mul_mem hP (cleared_polynomial_product_mem s L e d f hd hf)
have he : P.map GaussianInt.toComplex *
(Polynomial.C (∏ i ∈ s, (L i : ℂ) ^ e i) * ∏ i ∈ s, f i ^ d i) =
Polynomial.C (∏ i ∈ s, (L i : ℂ) ^ e i) *
(P.map GaussianInt.toComplex * ∏ i ∈ s, f i ^ d i) := by ring
rw [he] at h
have hc := (Polynomial.mem_map_range GaussianInt.toComplex).mp h k
simpa only [Polynomial.coeff_C_mul] using hc
theorem cleared_det_log_bound_of_entries {ι : Type*} [Fintype ι] [DecidableEq ι]
(A : Matrix ι ι ℂ) (r c : ι → ℝ) (hr : ∀ i, 0 < r i) (hc : ∀ i, 0 < c i)
(hA : A.det ≠ 0)
(hentries : ∀ i j, (r i : ℂ) * ((c j : ℂ) * A i j) ∈ GaussianInt.toComplex.range) :
-(∑ i, Real.log (r i)) - ∑ j, Real.log (c j) ≤ Real.log ‖A.det‖ := by
classical
choose B hB using hentries
apply cleared_det_log_bound A B r c hr hc hA
ext i j
exact hB i j
theorem cleared_det_log_bound_with_denominator {ι : Type*} [Fintype ι] [DecidableEq ι]
(A : Matrix ι ι ℂ) (r c : ι → ℝ) (D : ℝ)
(hD : 0 < D) (hr : ∀ i, 0 < r i) (hc : ∀ i, 0 < c i) (hA : A.det ≠ 0)
(hentries : ∀ i j, (D : ℂ) * (r i : ℂ) * ((c j : ℂ) * A i j) ∈
GaussianInt.toComplex.range) :
-(Fintype.card ι : ℝ) * Real.log D - (∑ i, Real.log (r i)) -
∑ j, Real.log (c j) ≤ Real.log ‖A.det‖ := by
have h := cleared_det_log_bound_of_entries A (fun i => D * r i) c
(fun i => mul_pos hD (hr i)) hc hA (by simpa using hentries)
simp_rw [Real.log_mul hD.ne' (hr _).ne'] at h
rw [Finset.sum_add_distrib, Finset.sum_const] at h
simp only [Finset.card_univ, nsmul_eq_mul] at h
linarith
theorem shifted_truncation_product_coeff_gaussian {ι : Type*} (s : Finset ι)
(T q e d : ι → ℕ) (z : ι → GaussianInt) (P : Polynomial GaussianInt)
(hd : ∀ i ∈ s, d i ≤ e i) (k : ℕ) :
(∏ i ∈ s, (Nat.lcmUpto (T i) : ℂ) ^ e i) *
(P.map GaussianInt.toComplex * ∏ i ∈ s,
(Polynomial.C (z i : ℂ) + Polynomial.C (q i : ℂ) *
PowerSeries.trunc (T i) (PowerSeries.log ℂ)) ^ d i).coeff k ∈
GaussianInt.toComplex.range := by
exact common_denominator_coeff_gaussian s (fun i => Nat.lcmUpto (T i)) e d _ P hd
(fun i hi => cleared_shifted_log_trunc_mem (T i) (q i) (z i)) k
theorem column_log_cost_le {ι : Type*} (s : Finset ι) (a q : ι → ℕ) :
(∑ i ∈ s, (a i : ℝ) * Real.log (q i)) ≤
∑ i ∈ s, (a i : ℝ) * (⌈Real.log (q i)⌉₊ : ℝ) := by
apply Finset.sum_le_sum
intro i hi
exact mul_le_mul_of_nonneg_left (Nat.le_ceil _) (Nat.cast_nonneg _)
theorem sum_exponents_le_weight_div {ι : Type*} (s : Finset ι)
(a : ι → ℕ) (w : ι → ℝ) (wmin : ℝ) (hmin : 0 < wmin)
(hw : ∀ i ∈ s, wmin ≤ w i) :
(∑ i ∈ s, (a i : ℝ)) ≤ (∑ i ∈ s, (a i : ℝ) * w i) / wmin := by
apply (le_div_iff₀ hmin).mpr
rw [Finset.sum_mul]
exact Finset.sum_le_sum (fun i hi => mul_le_mul_of_nonneg_left (hw i hi) (Nat.cast_nonneg _))
theorem row_log_cost_lower {ι : Type*} (s : Finset ι)
(a q : ι → ℕ) (wmin U : ℝ) (hmin : 0 < wmin)
(hw : ∀ i ∈ s, wmin ≤ (⌈Real.log (q i)⌉₊ : ℝ))
(hbudget : (∑ i ∈ s, (a i : ℝ) * (⌈Real.log (q i)⌉₊ : ℝ)) ≤ U) :
(∑ i ∈ s, (a i : ℝ) * (⌈Real.log (q i)⌉₊ : ℝ)) - U / wmin ≤
∑ i ∈ s, (a i : ℝ) * Real.log (q i) := by
have hsum := sum_exponents_le_weight_div s a (fun i => (⌈Real.log (q i)⌉₊ : ℝ))
wmin hmin hw
have hsumU : (∑ i ∈ s, (a i : ℝ)) ≤ U / wmin :=
hsum.trans (div_le_div_of_nonneg_right hbudget hmin.le)
have hceil : (∑ i ∈ s, (a i : ℝ) * (⌈Real.log (q i)⌉₊ : ℝ)) ≤
(∑ i ∈ s, (a i : ℝ) * Real.log (q i)) + ∑ i ∈ s, (a i : ℝ) := by
rw [← Finset.sum_add_distrib]
apply Finset.sum_le_sum
intro i hi
have h := mul_le_mul_of_nonneg_left
(Nat.ceil_lt_add_one (Real.log_natCast_nonneg (q i))).le (Nat.cast_nonneg (a i) : (0 : ℝ) ≤ a i)
nlinarith only [h]
linarith
theorem normalized_arithmetic_bound (M H b E δ logD columnCost rowCost logAbsDet : ℝ)
(hM : 0 < M) (hH : 0 < H)
(hclear : -M * logD - columnCost + rowCost ≤ logAbsDet)
(hden : logD ≤ H * E)
(hcol : columnCost ≤ M * H)
(hrow : M * H * b - M * H * δ ≤ rowCost) :
-(1 - b) - (E + δ) ≤ logAbsDet / (M * H) := by
apply (le_div_iff₀ (mul_pos hM hH)).mpr
have hd := mul_le_mul_of_nonneg_left hden hM.le
nlinarith only [hclear, hd, hcol, hrow]
end PiExponent.Arithmetic
end OAI
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