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import OAI.Geometry.LatticeCovering.Folded
namespace OAI
section
section
noncomputable section
open scoped BigOperators
open Real
noncomputable section
open scoped BigOperators
open MeasureTheory ProbabilityTheory Set
namespace SingleLatticeCovering.Folded
open MeasureTheory ProbabilityTheory Set Real
lemma law_real_of_subset {h : ℝ} (hh : 0 < h) {s : Set ℝ}
(hs : MeasurableSet s) (hsub : s ⊆ Icc (0 : ℝ) 1) :
(law h).real s = (∫ t in s, density h t)/totalMass h := by
calc
_ = ∫ _ in s, (1 : ℝ) ∂law h := by simp
_ = ∫ t in s, density h t/totalMass h ∂volume.restrict (Icc (0 : ℝ) 1) := by
unfold law
rw [setIntegral_withDensity_eq_setIntegral_toReal_smul (measurable_weight h)
(Filter.Eventually.of_forall (fun _ => ENNReal.ofReal_lt_top)) (fun _ => (1 : ℝ)) hs]
simp only [ENNReal.toReal_ofReal (div_nonneg (density_pos hh _).le (totalMass_pos hh).le),
smul_eq_mul, mul_one]
_ = _ := by rw [Measure.restrict_restrict hs, inter_eq_left.mpr hsub, integral_div]
def centralInterval (h : ℝ) : Set ℝ := Icc (1/2-1/(2*h^2)) (1/2+1/(2*h^2))
lemma centralInterval_subset {h : ℝ} (hh : 1 ≤ h) : centralInterval h ⊆ Icc (0 : ℝ) 1 := by
have hh2 : 1 ≤ h^2 := by nlinarith
have hw : 1/(2*h^2) ≤ (1/2 : ℝ) := (div_le_div_iff₀ (by positivity) (by norm_num)).mpr (by nlinarith)
intro t ht
rcases ht with ⟨hl,hu⟩
constructor <;> linarith
lemma centralInterval_volume {h : ℝ} (hh : 0 < h) :
volume.real (centralInterval h) = 1/h^2 := by
unfold centralInterval
rw [Real.volume_real_Icc]
have hz : 0 ≤ (1/2+1/(2*h^2))-(1/2-1/(2*h^2)) := by
have : 0 ≤ 1/(2*h^2) := by positivity
linarith
rw [max_eq_left hz]
ring
lemma centralInterval_probability {h : ℝ} (hh : 1 ≤ h) :
Real.exp (-(h^2)/8)/(h*Real.sqrt (2*Real.pi)) ≤ (law h).real (centralInterval h) := by
have hp : 0 < h := by linarith
have hs : 0 < Real.sqrt (2*Real.pi) := Real.sqrt_pos.mpr (mul_pos (by norm_num) Real.pi_pos)
have hmin : h/Real.sqrt (2*Real.pi)*Real.exp (-(h^2)/8) * volume.real (centralInterval h) ≤
∫ t in centralInterval h, density h t := by
calc
_ = ∫ _ in centralInterval h, h/Real.sqrt (2*Real.pi)*Real.exp (-(h^2)/8) := by simp [mul_comm]
_ ≤ _ := by
apply setIntegral_mono_on (integrableOn_const (s := centralInterval h) (hs := isCompact_Icc.measure_ne_top))
(continuous_density h).integrableOn_Icc measurableSet_Icc
intro t ht
exact density_lower hp (centralInterval_subset hh ht)
rw [centralInterval_volume hp] at hmin
have he : h/Real.sqrt (2*Real.pi)*Real.exp (-(h^2)/8)*(1/h^2) =
Real.exp (-(h^2)/8)/(h*Real.sqrt (2*Real.pi)) := by field_simp
rw [he] at hmin
rw [law_real_of_subset (s := centralInterval h) hp measurableSet_Icc (centralInterval_subset hh)]
exact hmin.trans ((le_div_iff₀ (totalMass_pos hp)).mpr
(mul_le_of_le_one_right (le_trans (by positivity) hmin) (totalMass_le_one hp)))
variable {ι : Type*} [Fintype ι]
def cubeLaw (h : ℝ) : Measure (ι → ℝ) := Measure.pi (fun _ : ι => law h)
lemma log_folded {h : ℝ} (hh : 0 < h) (t : ι → ℝ) :
Real.log (folded h t) = ∑ i, Real.log (density h (t i)) := by
exact Real.log_prod (fun i _ => (density_pos hh (t i)).ne')
lemma folded_chebyshev {h c : ℝ} (hh : 0 < h) (hc : 0 < c) :
(cubeLaw h : Measure (ι → ℝ)).real
{t | c ≤ |Real.log (folded h t)-(Fintype.card ι : ℝ)*logMean h|} ≤
(Fintype.card ι : ℝ)*((Real.log 2+h^2/8)/2)^2/c^2 := by
let := law_isProbability hh
have ht := Concentration.sum_chebyshev (ι := ι) (log_density_memLp hh)
(log_density_variance hh) hc
simp only [integral_log_density hh] at ht
simpa only [cubeLaw, log_folded hh] using ht
lemma central_count_tail {h : ℝ} (hh : 1 ≤ h) (hi : 0 < Fintype.card ι)
{r : ℝ} (hr : 2*r ≤ (Fintype.card ι : ℝ)*Real.exp (-(h^2)/8)/(h*Real.sqrt (2*Real.pi))) :
(cubeLaw h : Measure (ι → ℝ)).real
{t | (∑ i, (centralInterval h).indicator (fun _ => (1 : ℝ)) (t i)) < r} ≤
4/((Fintype.card ι : ℝ)*Real.exp (-(h^2)/8)/(h*Real.sqrt (2*Real.pi))) := by
have hp : 0 < h := by linarith
let := law_isProbability hp
have hl := mul_le_mul_of_nonneg_left (centralInterval_probability hh) (Nat.cast_nonneg (Fintype.card ι) : (0 : ℝ) ≤ _)
rw [←mul_div_assoc] at hl
have hx : 0 < (Fintype.card ι : ℝ)*Real.exp (-(h^2)/8)/(h*Real.sqrt (2*Real.pi)) := by positivity
have ht := Concentration.count_lower_tail (ι := ι) (μ := law h) (s := centralInterval h) measurableSet_Icc (lt_of_lt_of_le hx hl)
apply (measureReal_mono (show {t : ι → ℝ | (∑ i, (centralInterval h).indicator (fun _ => (1 : ℝ)) (t i)) < r} ⊆ _ from ?_)).trans
(ht.trans (div_le_div_of_nonneg_left (by norm_num) hx hl))
intro t ht
dsimp at ht ⊢
linarith
end SingleLatticeCovering.Folded
noncomputable section
open scoped BigOperators
open MeasureTheory Set
namespace SingleLatticeCovering
variable {ι : Type*} [Fintype ι] {Ω : ι → Type*}
[∀ i, MeasurableSpace (Ω i)] {μ : ∀ i, Measure (Ω i)} [∀ i, SigmaFinite (μ i)]
lemma pi_withDensity_ofReal {f : ∀ i, Ω i → ℝ}
(hf : ∀ i, Integrable (f i) (μ i)) (hpos : ∀ i x, 0 ≤ f i x) :
Measure.pi (fun i => (μ i).withDensity (fun x => ENNReal.ofReal (f i x))) =
(Measure.pi μ).withDensity (fun x => ENNReal.ofReal (∏ i, f i (x i))) := by
apply Measure.pi_eq
intro s hs
rw [withDensity_apply _ (MeasurableSet.univ_pi hs), Measure.restrict_pi_pi]
rw [←ofReal_integral_eq_lintegral_ofReal
(Integrable.fintype_prod_dep (fun i => (hf i).restrict))
(Filter.Eventually.of_forall (fun x => Finset.prod_nonneg (fun i _ => hpos i (x i))))]
rw [integral_fintype_prod_eq_prod]
rw [ENNReal.ofReal_prod_of_nonneg (fun i _ => integral_nonneg (hpos i))]
apply Finset.prod_congr rfl
intro i hi
rw [withDensity_apply _ (hs i)]
exact ofReal_integral_eq_lintegral_ofReal (hf i).restrict (Filter.Eventually.of_forall (hpos i))
end SingleLatticeCovering
namespace SingleLatticeCovering.Folded
open MeasureTheory ProbabilityTheory Set Real
variable {ι : Type*} [Fintype ι]
def cube : Set (ι → ℝ) := Set.univ.pi (fun _ => Set.Icc (0 : ℝ) 1)
lemma continuous_folded (h : ℝ) : Continuous (folded h : (ι → ℝ) → ℝ) := by
unfold folded
exact continuous_finsetProd _ (fun i _ => (continuous_density h).comp (continuous_apply i))
lemma cubeLaw_density {h : ℝ} (hh : 0 < h) :
(cubeLaw h : Measure (ι → ℝ)) =
(volume.restrict cube).withDensity
(fun t => ENNReal.ofReal (folded h t/(totalMass h)^Fintype.card ι)) := by
have hf : Integrable (fun x => density h x/totalMass h) (volume.restrict (Icc (0 : ℝ) 1)) :=
((continuous_density h).div_const _).integrableOn_Icc
have ht := pi_withDensity_ofReal (μ := fun _ : ι => volume.restrict (Icc (0 : ℝ) 1))
(f := fun _ : ι => fun x => density h x/totalMass h) (fun _ => hf)
(fun _ x => div_nonneg (density_pos hh x).le (totalMass_pos hh).le)
simpa only [cubeLaw, law, ←Measure.restrict_pi_pi, volume_pi, cube,
Finset.prod_div_distrib, Finset.prod_const, Finset.card_univ, folded] using ht
lemma cube_integral {h : ℝ} (_ : 0 < h) :
(∫ t in (cube : Set (ι → ℝ)), folded h t) = (totalMass h)^Fintype.card ι := by
rw [cube, volume_pi, Measure.restrict_pi_pi]
unfold folded
rw [integral_fintype_prod_eq_pow, integral_Icc_eq_integral_Ioc,
←intervalIntegral.integral_of_le (by norm_num : (0 : ℝ) ≤ 1)]
rfl
lemma cubeLaw_real {h : ℝ} (hh : 0 < h) {s : Set (ι → ℝ)} (hs : MeasurableSet s) :
(cubeLaw h).real s = (∫ t in s ∩ cube, folded h t)/(totalMass h)^Fintype.card ι := by
calc
_ = ∫ _ in s, (1 : ℝ) ∂cubeLaw h := by simp
_ = ∫ t in s, folded h t/(totalMass h)^Fintype.card ι ∂volume.restrict cube := by
rw [cubeLaw_density hh, setIntegral_withDensity_eq_setIntegral_toReal_smul
(((continuous_folded h).div_const _).measurable.ennreal_ofReal)
(Filter.Eventually.of_forall (fun _ => ENNReal.ofReal_lt_top)) (fun _ => (1 : ℝ)) hs]
simp only [ENNReal.toReal_ofReal (div_nonneg (folded_pos hh _).le (pow_nonneg (totalMass_pos hh).le _)),
smul_eq_mul, mul_one]
_ = _ := by rw [Measure.restrict_restrict hs, integral_div]
lemma cubeLaw_isProbability {h : ℝ} (hh : 0 < h) : IsProbabilityMeasure (cubeLaw h : Measure (ι → ℝ)) := by
let := law_isProbability hh
change IsProbabilityMeasure (Measure.pi (fun _ : ι => law h))
infer_instance
lemma continuous_good_mass {h c r : ℝ} (hh : 1 ≤ h) (hi : 0 < Fintype.card ι) (hc : 0 < c)
(hr : 2*r ≤ (Fintype.card ι : ℝ)*Real.exp (-(h^2)/8)/(h*Real.sqrt (2*Real.pi))) :
1 - (Fintype.card ι : ℝ)*((Real.log 2+h^2/8)/2)^2/c^2 -
4/((Fintype.card ι : ℝ)*Real.exp (-(h^2)/8)/(h*Real.sqrt (2*Real.pi))) ≤
(cubeLaw h : Measure (ι → ℝ)).real
{t | |Real.log (folded h t)-(Fintype.card ι : ℝ)*logMean h| < c ∧
r ≤ ∑ i, (centralInterval h).indicator (fun _ => (1 : ℝ)) (t i)} := by
have hp : 0 < h := by linarith
let := cubeLaw_isProbability (ι := ι) hp
let A : Set (ι → ℝ) := {t | c ≤ |Real.log (folded h t)-(Fintype.card ι : ℝ)*logMean h|}
let B : Set (ι → ℝ) := {t | (∑ i, (centralInterval h).indicator (fun _ => (1 : ℝ)) (t i)) < r}
have hA : MeasurableSet A := by
apply measurableSet_le measurable_const
exact (((continuous_folded h).log (fun t => (folded_pos hp t).ne')).sub continuous_const).abs.measurable
have hB : MeasurableSet B := by
apply measurableSet_lt _ measurable_const
exact Finset.measurable_sum _ (fun i _ =>
(measurable_const.indicator (show MeasurableSet (centralInterval h) from measurableSet_Icc)).comp (measurable_pi_apply i))
have he : {t : ι → ℝ | |Real.log (folded h t)-(Fintype.card ι : ℝ)*logMean h| < c ∧
r ≤ ∑ i, (centralInterval h).indicator (fun _ => (1 : ℝ)) (t i)} = (A ∪ B)ᶜ := by
ext t
simp only [A, B, mem_ofPred_eq, mem_compl_iff, mem_union, not_or, not_le, not_lt]
rw [he, measureReal_compl (hA.union hB)]
have hu := measureReal_union_le (μ := cubeLaw h) A B
have ha := folded_chebyshev (ι := ι) hp hc
have hb := central_count_tail (ι := ι) hh hi hr
change (cubeLaw h).real A ≤ _ at ha
change (cubeLaw h).real B ≤ _ at hb
have hu1 : (cubeLaw h : Measure (ι → ℝ)).real Set.univ = 1 := by simp
rw [hu1]
linarith
end SingleLatticeCovering.Folded
noncomputable section
open Module Submodule MeasureTheory
open scoped BigOperators
namespace SingleLatticeCovering.ConstructionA
variable {ι : Type*} [Fintype ι] [DecidableEq ι]
def generator (p : ℕ) (a : ι → ℤ) : ι → ℝ := fun j => (a j : ℝ) / p
def matrix (p : ℕ) (i : ι) (a : ι → ℤ) : Matrix ι ι ℝ :=
(1 : Matrix ι ι ℝ).updateRow i (generator p a)
lemma det_matrix (p : ℕ) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
(matrix p i a).det = (p : ℝ)⁻¹ := by
have hs : (∑ j, (generator p a j) • (1 : Matrix ι ι ℝ) j) = generator p a := by
ext k
simp [Matrix.one_apply, Pi.smul_apply, smul_eq_mul]
rw [matrix, ← hs, Matrix.det_updateRow_sum]
simp [generator, ha]
lemma independent_matrix (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
LinearIndependent ℝ (matrix p i a) := by
apply Matrix.linearIndependent_rows_iff_isUnit.mpr
rw [Matrix.isUnit_iff_isUnit_det]
change IsUnit (matrix p i a).det
rw [det_matrix p i a ha]
exact isUnit_iff_ne_zero.mpr (inv_ne_zero (by exact_mod_cast hp.ne'))
def basis (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
Basis ι ℝ (ι → ℝ) := by
letI : Nonempty ι := ⟨i⟩
exact Basis.mk (independent_matrix p hp i a ha)
(by rw [(independent_matrix p hp i a ha).span_eq_top_of_card_eq_finrank
(Module.finrank_pi ℝ).symm])
@[simp] lemma basis_apply (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1)
(j : ι) : basis p hp i a ha j = matrix p i a j := by
unfold basis
exact Basis.mk_apply _ _ j
@[simp] lemma basis_pivot (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
basis p hp i a ha i = generator p a := by
rw [basis_apply]
exact Matrix.updateRow_self
lemma basis_other (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1)
(j : ι) (hj : j ≠ i) : basis p hp i a ha j = (Pi.basisFun ℝ ι) j := by
rw [basis_apply]
change (1 : Matrix ι ι ℝ).updateRow i (generator p a) j = _
rw [Matrix.updateRow_ne hj]
ext k
simp [Pi.basisFun_apply, Matrix.one_apply, Pi.single_apply, eq_comm]
def lattice (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
Submodule ℤ (ι → ℝ) := span ℤ (Set.range (basis p hp i a ha))
instance lattice_discrete (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
DiscreteTopology (lattice p hp i a ha) := inferInstanceAs
(DiscreteTopology (span ℤ (Set.range (basis p hp i a ha))))
instance lattice_full (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
IsZLattice ℝ (lattice p hp i a ha) := inferInstanceAs
(IsZLattice ℝ (span ℤ (Set.range (basis p hp i a ha))))
lemma covolume_lattice (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
ZLattice.covolume (lattice p hp i a ha) = (p : ℝ)⁻¹ := by
change ZLattice.covolume (span ℤ (Set.range (basis p hp i a ha))) = _
rw [ZLattice.covolume_eq_measure_fundamentalDomain _ volume
(ZSpan.isAddFundamentalDomain (basis p hp i a ha) volume),
ZSpan.volume_real_fundamentalDomain]
have he : Matrix.of (basis p hp i a ha) = matrix p i a := by ext; simp
rw [he, det_matrix p i a ha, abs_of_pos (inv_pos.mpr (by exact_mod_cast hp))]
lemma generator_mem (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
generator p a ∈ lattice p hp i a ha := by
rw [← basis_pivot p hp i a ha]
exact subset_span ⟨i, rfl⟩
lemma integer_mem (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1)
(z : ι → ℤ) : (fun j => (z j : ℝ)) ∈ lattice p hp i a ha := by
rw [lattice, Submodule.mem_span_range_iff_exists_fun]
refine ⟨fun j => if j = i then (p : ℤ)*z i else z j-z i*a j, ?_⟩
ext k
rw [Finset.sum_apply, ← Finset.sum_erase_add _ _ (Finset.mem_univ i)]
simp only [Pi.smul_apply, basis_pivot, generator, zsmul_eq_mul]
have he : ∑ j ∈ Finset.univ.erase i,
((if j = i then (p : ℤ)*z i else z j-z i*a j) : ℤ) •
basis p hp i a ha j k =
if k = i then 0 else (z k : ℝ) - (z i : ℝ)*(a k : ℝ) := by
calc
_ = ∑ j ∈ Finset.univ.erase i,
((z j : ℝ)-(z i : ℝ)*(a j : ℝ)) * (if j = k then 1 else 0) := by
apply Finset.sum_congr rfl
intro j hj
have hji := (Finset.mem_erase.mp hj).1
rw [ite_eq_right hji, basis_other p hp i a ha j hji]
simp [Pi.basisFun_apply, Pi.single_apply, eq_comm, zsmul_eq_mul]
_ = _ := by
by_cases hki : k = i
· subst k
simp only [↓reduceIte]
apply Finset.sum_eq_zero
intro j hj
simp [(Finset.mem_erase.mp hj).1]
· simp [hki, Finset.mem_erase]
simp only [zsmul_eq_mul] at he
rw [he]
have hp0 : (p : ℝ) ≠ 0 := by exact_mod_cast hp.ne'
by_cases hki : k = i
· subst k; simp [ha]; field_simp
· rw [ite_eq_right hki]
push_cast
field_simp
ring
lemma mem_lattice_iff (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1)
(x : ι → ℝ) : x ∈ lattice p hp i a ha ↔
∃ (z : ι → ℤ) (m : ℤ), x = (fun j => (z j : ℝ)) + m • generator p a := by
constructor
· intro hx
obtain ⟨c, hc⟩ := (Submodule.mem_span_range_iff_exists_fun ℤ).mp hx
refine ⟨fun j => if j = i then 0 else c j, c i, ?_⟩
rw [← hc]
ext k
rw [Finset.sum_apply, ← Finset.sum_erase_add _ _ (Finset.mem_univ i)]
simp only [Pi.add_apply, Pi.smul_apply, basis_pivot]
congr 1
calc
_ = ∑ j ∈ Finset.univ.erase i, (c j : ℝ) * (if j = k then 1 else 0) := by
apply Finset.sum_congr rfl
intro j hj
rw [basis_other p hp i a ha j (Finset.mem_erase.mp hj).1]
simp [Pi.basisFun_apply, Pi.single_apply, eq_comm, zsmul_eq_mul]
_ = _ := by
by_cases hki : k = i
· subst k
simp only [↓reduceIte, Int.cast_zero]
apply Finset.sum_eq_zero
intro j hj
simp [(Finset.mem_erase.mp hj).1]
· simp [hki, Finset.mem_erase]
· rintro ⟨z, m, rfl⟩
exact (lattice p hp i a ha).add_mem (integer_mem p hp i a ha z)
((lattice p hp i a ha).smul_mem m (generator_mem p hp i a ha))
end SingleLatticeCovering.ConstructionA
namespace SingleLatticeCovering.ConstructionA
variable {ι : Type*} [Fintype ι] [DecidableEq ι]
def residue (p : ℕ) (k : ι → ℤ) : ι → ZMod p := fun j => (k j : ZMod p)
def codeLattice (p : ℕ) (C : Submodule (ZMod p) (ι → ZMod p)) :
Submodule ℤ (ι → ℝ) where
carrier := {x | ∃ k : ι → ℤ, residue p k ∈ C ∧ generator p k = x}
zero_mem' := ⟨0, by convert C.zero_mem using 1 ; ext j ; simp [residue], by ext; simp [generator]⟩
add_mem' := by
rintro x y ⟨k, hk, rfl⟩ ⟨l, hl, rfl⟩
refine ⟨k+l, ?_, ?_⟩
· convert C.add_mem hk hl using 1 ; ext j ; simp [residue]
· ext j; simp [generator, add_div]
smul_mem' := by
rintro m x ⟨k, hk, rfl⟩
refine ⟨m • k, ?_, ?_⟩
· convert C.smul_mem (m : ZMod p) hk using 1 ; ext j ; simp [residue]
· ext j; simp [generator, zsmul_eq_mul, mul_div_assoc]
lemma lattice_eq_codeLattice (p : ℕ) (hp : 0 < p) (i : ι) (a : ι → ℤ) (ha : a i = 1) :
lattice p hp i a ha = codeLattice p (Submodule.span (ZMod p) {residue p a}) := by
let : NeZero p := ⟨hp.ne'⟩
ext x
rw [mem_lattice_iff]
constructor
· rintro ⟨z, m, rfl⟩
refine ⟨fun j => (p : ℤ)*z j+m*a j, ?_, ?_⟩
· apply Submodule.mem_span_singleton.mpr
refine ⟨(m : ZMod p), ?_⟩
ext j
simp [residue]
· ext j
simp only [Pi.add_apply, zsmul_eq_mul, Pi.mul_apply]
change ((p : ℤ)*z j+m*a j : ℤ) / (p : ℝ) = (z j : ℝ) + (m : ℝ)*((a j : ℝ)/p)
push_cast
field_simp
· rintro ⟨k, hk, rfl⟩
obtain ⟨r, hr⟩ := Submodule.mem_span_singleton.mp hk
let m : ℤ := r.val
have hm : (m : ZMod p) = r := by simp [m]
have hd (j : ι) : (p : ℤ) ∣ k j - m*a j := by
apply (ZMod.intCast_zmod_eq_zero_iff_dvd _ _).mp
have hj := congr_fun hr j
simpa [residue, hm] using sub_eq_zero.mpr hj.symm
choose z hz using hd
refine ⟨z, m, ?_⟩
ext j
have hj : (k j : ℝ) - (m : ℝ)*(a j : ℝ) = (p : ℝ)*(z j : ℝ) := by
exact_mod_cast hz j
simp only [Pi.add_apply, zsmul_eq_mul, Pi.mul_apply]
change (k j : ℝ)/(p : ℝ) = (z j : ℝ)+(m : ℝ)*((a j : ℝ)/p)
apply (div_eq_iff (show (p : ℝ) ≠ 0 by exact_mod_cast hp.ne')).mpr
field_simp
nlinarith
lemma normalized_lift {ι : Type*} [Fintype ι] [DecidableEq ι] (p : ℕ) [Fact p.Prime] (v : ι → ZMod p) (hv : v ≠ 0) :
∃ (i : ι) (a : ι → ℤ), a i = 1 ∧
Submodule.span (ZMod p) {residue p a} = Submodule.span (ZMod p) {v} := by
have hp : p.Prime := Fact.out
let : Fact (1 < p) := ⟨hp.one_lt⟩
obtain ⟨i, hi⟩ : ∃ i, v i ≠ 0 := by
by_contra! h
exact hv (funext h)
let a : ι → ℤ := fun j => ((v i)⁻¹*v j).val
have ha : a i = 1 := by simp only [a, inv_mul_cancel₀ hi, ZMod.val_one, Nat.cast_one]
have hr : residue p a = (v i)⁻¹ • v := by
ext j
simp [residue, a]
refine ⟨i, a, ha, ?_⟩
apply le_antisymm
· apply Submodule.span_le.mpr
intro x hx
rw [Set.mem_singleton_iff] at hx
rw [hx]
exact Submodule.mem_span_singleton.mpr ⟨(v i)⁻¹, hr.symm⟩
· apply Submodule.span_le.mpr
intro x hx
rw [Set.mem_singleton_iff] at hx
rw [hx]
apply Submodule.mem_span_singleton.mpr
refine ⟨v i, ?_⟩
rw [hr, smul_smul, mul_inv_cancel₀ hi, one_smul]
theorem line_lattice (p : ℕ) [Fact p.Prime] (v : ι → ZMod p) (hv : v ≠ 0) :
∃ (_ : DiscreteTopology (codeLattice p (Submodule.span (ZMod p) {v}))),
IsZLattice ℝ (codeLattice p (Submodule.span (ZMod p) {v})) ∧
ZLattice.covolume (codeLattice p (Submodule.span (ZMod p) {v})) = (p : ℝ)⁻¹ := by
obtain ⟨i, a, ha, hspan⟩ := normalized_lift p v hv
have hp : 0 < p := (show p.Prime from Fact.out).pos
have he : codeLattice p (Submodule.span (ZMod p) {v}) = lattice p hp i a ha := by
rw [lattice_eq_codeLattice p hp i a ha, hspan]
rw [he]
exact ⟨inferInstance, inferInstance, covolume_lattice p hp i a ha⟩
end SingleLatticeCovering.ConstructionA
namespace SingleLatticeCovering.ConstructionA
variable {ι : Type*} [Fintype ι] [DecidableEq ι]
def floorVector (p : ℕ) (t : ι → ℝ) : ι → ℤ := fun j => ⌊(p : ℝ)*t j⌋
def anchor (p : ℕ) (z : ι → ZMod p) : ι → ℝ := fun j => (z j).val / (p : ℝ)
def integerLift (p : ℕ) (z : ι → ZMod p) : ι → ℤ := fun j => (z j).val
def gridCell (p : ℕ) (z : ι → ZMod p) : Set (ι → ℝ) :=
{t | ∀ j, t j - anchor p z j ∈ Set.Ico 0 (p : ℝ)⁻¹}
def cellPoint (p : ℕ) (t : ι → ℝ) (z : ι → ZMod p) : ι → ℝ :=
generator p (floorVector p t - integerLift p z)
lemma residue_integerLift {ι : Type*} [Fintype ι] [DecidableEq ι] (p : ℕ) [NeZero p] (z : ι → ZMod p) :
residue p (integerLift p z) = z := by
ext j
simp only [residue, integerLift, Int.cast_natCast, ZMod.natCast_zmod_val]
lemma cellPoint_mem {ι : Type*} [Fintype ι] [DecidableEq ι] (p : ℕ) [NeZero p] (C : Submodule (ZMod p) (ι → ZMod p))
(t : ι → ℝ) (z : ι → ZMod p)
(hz : residue p (floorVector p t) - z ∈ C) : cellPoint p t z ∈ codeLattice p C := by
refine ⟨floorVector p t - integerLift p z, ?_, rfl⟩
convert hz using 1
ext j
simp [residue, integerLift]
lemma cell_residual {ι : Type*} [Fintype ι] [DecidableEq ι] (p : ℕ) (hp : 0 < p) (t : ι → ℝ) (z : ι → ZMod p) (j : ι) :
(t-cellPoint p t z) j = ((z j).val + Int.fract ((p : ℝ)*t j))/(p : ℝ) := by
have hp0 : (p : ℝ) ≠ 0 := by exact_mod_cast hp.ne'
have hf := Int.floor_add_fract ((p : ℝ)*t j)
simp only [Pi.sub_apply, cellPoint, generator, floorVector, integerLift, Int.cast_sub,
Int.cast_natCast]
apply (eq_div_iff hp0).mpr
field_simp
nlinarith [Int.floor_add_fract (t j*(p : ℝ))]
lemma cell_residual_mem_grid (p : ℕ) (hp : 0 < p) (t : ι → ℝ) (z : ι → ZMod p) :
t-cellPoint p t z ∈ gridCell p z := by
intro j
rw [cell_residual p hp t z j]
have hp0 : (0 : ℝ) < p := by exact_mod_cast hp
change 0 ≤ ((z j).val+Int.fract ((p : ℝ)*t j))/(p : ℝ)-(z j).val/(p : ℝ) ∧
((z j).val+Int.fract ((p : ℝ)*t j))/(p : ℝ)-(z j).val/(p : ℝ) < (p : ℝ)⁻¹
rw [add_div, add_sub_cancel_left]
constructor
· exact div_nonneg (Int.fract_nonneg _) hp0.le
· simpa only [one_div] using (div_lt_div_of_pos_right (Int.fract_lt_one _) hp0)
lemma gridCell_subset_cube {ι : Type*} [Fintype ι] [DecidableEq ι] (p : ℕ) (hp : 0 < p) (z : ι → ZMod p) (τ : ι → ℝ)
(hτ : τ ∈ gridCell p z) (j : ι) : τ j ∈ Set.Ico 0 1 := by
let : NeZero p := ⟨hp.ne'⟩
have hp0 : (0 : ℝ) < p := by exact_mod_cast hp
have hj := hτ j
change 0 ≤ τ j - (z j).val/(p : ℝ) ∧ τ j - (z j).val/(p : ℝ) < (p : ℝ)⁻¹ at hj
have hv : ((z j).val : ℝ)+1 ≤ (p : ℝ) := by exact_mod_cast Nat.succ_le_iff.mpr (ZMod.val_lt _)
have h0 : 0 ≤ ((z j).val : ℝ)/(p : ℝ) := div_nonneg (Nat.cast_nonneg _) hp0.le
have hl : ((z j).val : ℝ)/(p : ℝ) + (p : ℝ)⁻¹ ≤ 1 := by
rw [← one_div, ← add_div, div_le_one hp0]
exact hv
exact ⟨by linarith, by linarith⟩
lemma integer_code_mem {ι : Type*} [Fintype ι] [DecidableEq ι] (p : ℕ) (hp : 0 < p) (C : Submodule (ZMod p) (ι → ZMod p))
(k : ι → ℤ) : (fun j => (k j : ℝ)) ∈ codeLattice p C := by
refine ⟨fun j => (p : ℤ)*k j, ?_, ?_⟩
· have he : residue p (fun j => (p : ℤ)*k j) = 0 := by ext; simp [residue]
rw [he]; exact C.zero_mem
· ext j
simp [generator, show (p : ℝ) ≠ 0 by exact_mod_cast hp.ne']
lemma cell_bits (p : ℕ) (hp : 0 < p) (C : Submodule (ZMod p) (ι → ZMod p))
(t : ι → ℝ) (z : ι → ZMod p)
(hz : residue p (floorVector p t) - z ∈ C) (e : ι → Bool) :
cellPoint p t z + (fun j => if e j then (1 : ℝ) else 0) ∈ codeLattice p C ∧
∀ j, (t j - cellPoint p t z j - (if e j then (1 : ℝ) else 0)) ∈ Set.Icc (-1) 1 := by
let : NeZero p := ⟨hp.ne'⟩
refine ⟨(codeLattice p C).add_mem (cellPoint_mem p C t z hz) ?_, ?_⟩
· convert integer_code_mem p hp C (fun j => if e j then (1 : ℤ) else 0) using 1
ext j
cases e j <;> simp
· intro j
have hj := gridCell_subset_cube p hp z _ (cell_residual_mem_grid p hp t z) j
simp only [Pi.sub_apply, Set.mem_Ico] at hj
cases e j <;> simp only [Bool.false_eq_true, ↓reduceIte, sub_zero, Set.mem_Icc] <;>
constructor <;> linarith
end SingleLatticeCovering.ConstructionA
namespace SingleLatticeCovering.ConstructionA
open Set MeasureTheory
variable {ι : Type*} [Fintype ι] [DecidableEq ι]
lemma gridCell_eq_pi {ι : Type*} [Fintype ι] [DecidableEq ι] (p : ℕ) (z : ι → ZMod p) :
gridCell p z = Set.univ.pi (fun j => Ico (anchor p z j) (anchor p z j+(p : ℝ)⁻¹)) := by
ext t
simp only [gridCell, Set.mem_ofPred_eq, Set.mem_univ_pi, Set.mem_Ico]
constructor <;> intro ht j <;> have hj := ht j <;> constructor <;> linarith
lemma gridCell_measurable (p : ℕ) (z : ι → ZMod p) : MeasurableSet (gridCell p z) := by
rw [gridCell_eq_pi]
exact MeasurableSet.pi Set.countable_univ (fun _ _ => measurableSet_Ico)
lemma floorVector_gridCell {ι : Type*} [Fintype ι] [DecidableEq ι] {p : ℕ} (hp : 0 < p) {z : ι → ZMod p} {t : ι → ℝ}
(ht : t ∈ gridCell p z) : floorVector p t = integerLift p z := by
have hp0 : (0 : ℝ) < p := by exact_mod_cast hp
ext j
apply Int.floor_eq_iff.mpr
have hj := ht j
change 0 ≤ t j-(z j).val/(p : ℝ) ∧ t j-(z j).val/(p : ℝ) < (p : ℝ)⁻¹ at hj
have h1 := mul_le_mul_of_nonneg_left hj.1 hp0.le
have h2 := mul_lt_mul_of_pos_left hj.2 hp0
simp only [mul_sub, mul_div_cancel₀ _ hp0.ne', mul_inv_cancel₀ hp0.ne', mul_zero] at h1 h2
change ((z j).val : ℝ) ≤ (p : ℝ)*t j ∧ (p : ℝ)*t j < (z j).val+1
constructor <;> linarith
lemma gridCell_disjoint {p : ℕ} (hp : 0 < p) {z w : ι → ZMod p} (hzw : z ≠ w) :
Disjoint (gridCell p z) (gridCell p w) := by
let : NeZero p := ⟨hp.ne'⟩
apply Set.disjoint_left.mpr
intro t hz hw
have he := (floorVector_gridCell hp hz).symm.trans (floorVector_gridCell hp hw)
have he' := congr_arg (residue p) he
simp only [residue_integerLift] at he'
exact hzw he'
lemma anchor_floorVector {ι : Type*} [Fintype ι] [DecidableEq ι] {p : ℕ} (hp : 0 < p) {t : ι → ℝ}
(ht : ∀ j, t j ∈ Ico 0 1) (j : ι) :
anchor p (residue p (floorVector p t)) j = (⌊(p : ℝ)*t j⌋ : ℝ)/(p : ℝ) := by
let : NeZero p := ⟨hp.ne'⟩
have hp0 : (0 : ℝ) < p := by exact_mod_cast hp
have h0 : 0 ≤ ⌊(p : ℝ)*t j⌋ := Int.floor_nonneg.mpr (mul_nonneg hp0.le (ht j).1)
have h1 : ⌊(p : ℝ)*t j⌋ < (p : ℤ) := Int.floor_lt.mpr (by simpa only [Int.cast_natCast, mul_one] using (mul_lt_mul_of_pos_left (ht j).2 hp0))
have he := ZMod.val_intCast (n := p) (a := ⌊(p : ℝ)*t j⌋)
rw [Int.emod_eq_of_lt h0 h1] at he
unfold anchor residue floorVector
congr 1
exact_mod_cast he
lemma cube_mem_gridCell {p : ℕ} (hp : 0 < p) {t : ι → ℝ} (ht : ∀ j, t j ∈ Ico 0 1) :
t ∈ gridCell p (residue p (floorVector p t)) := by
have hp0 : (0 : ℝ) < p := by exact_mod_cast hp
intro j
rw [anchor_floorVector hp ht]
have h0 := Int.floor_le ((p : ℝ)*t j)
have h1 := Int.lt_floor_add_one ((p : ℝ)*t j)
constructor
· rw [sub_nonneg, div_le_iff₀ hp0]
nlinarith
· rw [sub_lt_iff_lt_add, ← one_div, ← add_div, lt_div_iff₀ hp0]
nlinarith
lemma gridCell_iUnion {p : ℕ} (hp : 0 < p) :
(⋃ z : ι → ZMod p, gridCell p z) = Set.univ.pi (fun _ : ι => Ico (0 : ℝ) 1) := by
ext t
simp only [Set.mem_iUnion, Set.mem_univ_pi]
constructor
· rintro ⟨z, ht⟩ j
exact gridCell_subset_cube p hp z t ht j
· intro ht
exact ⟨_, cube_mem_gridCell hp ht⟩
lemma gridCell_volume (p : ℕ) (z : ι → ZMod p) :
volume (gridCell p z) = (ENNReal.ofReal ((p : ℝ)⁻¹))^Fintype.card ι := by
rw [gridCell_eq_pi, volume_pi_pi]
simp only [Real.volume_Ico, add_sub_cancel_left, Finset.prod_const, Finset.card_univ]
lemma gridCell_volume_real (p : ℕ) (z : ι → ZMod p) :
volume.real (gridCell p z) = ((p : ℝ)⁻¹)^Fintype.card ι := by
rw [Measure.real, gridCell_volume, ENNReal.toReal_pow, ENNReal.toReal_ofReal]
positivity
lemma integral_gridCells {p : ℕ} [NeZero p] (hp : 0 < p) {f : (ι → ℝ) → ℝ}
(hf : Continuous f) :
(∫ t in Set.univ.pi (fun _ : ι => Icc (0 : ℝ) 1), f t) =
∑ z : ι → ZMod p, ∫ t in gridCell p z, f t := by
let : NeZero p := ⟨hp.ne'⟩
have hi : IsCompact (Set.univ.pi (fun _ : ι => Icc (0 : ℝ) 1)) :=
isCompact_univ_pi (fun _ => isCompact_Icc)
have hf' z : IntegrableOn f (gridCell p z) :=
(hf.continuousOn.integrableOn_compact hi).mono_set (by
intro t ht
exact Set.mem_univ_pi.mpr (fun j => (gridCell_subset_cube p hp z t ht j).imp_right le_of_lt))
have he : Set.univ.pi (fun _ : ι => Ico (0 : ℝ) 1) =ᵐ[volume]
Set.univ.pi (fun _ : ι => Icc (0 : ℝ) 1) := by
rw [volume_pi]
exact Measure.pi_Ico_ae_eq_pi_Icc
rw [←setIntegral_congr_set he, ←gridCell_iUnion hp]
exact integral_iUnion_fintype (gridCell_measurable p)
(fun _ _ hz => gridCell_disjoint hp hz) hf'
end SingleLatticeCovering.ConstructionA
end
end
end
end
end
end
end OAI