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Add lean source and binary files (part 95)
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import OAI.MeasureTheory.SelfSimilar.Model
namespace OAI
universe uι
section
open scoped BigOperators ENNReal
open MeasureTheory
namespace EntropyRateDimension
namespace System
variable {ι : Type uι} [Fintype ι]
theorem weight_nonneg (S : System ι) (i : ι) : 0 ≤ S.weight i :=
(S.weight_pos i).le
theorem weight_le_one (S : System ι) (i : ι) : S.weight i ≤ 1 := by
rw [← S.weight_sum]
exact Finset.single_le_sum (fun j _ => S.weight_nonneg j) (Finset.mem_univ i)
theorem affine_continuous (S : System ι) (i : ι) : Continuous (S.affine i) := by
unfold affine
fun_prop
theorem wordWeight_pos (S : System ι) {n : ℕ} (w : Fin n → ι) :
0 < S.wordWeight w :=
Finset.prod_pos (fun i _ => S.weight_pos (w i))
theorem wordWeight_sum (S : System ι) (n : ℕ) :
∑ w : Fin n → ι, S.wordWeight w = 1 := by
classical
simpa [wordWeight, S.weight_sum] using
(Fintype.prod_sum (fun (_ : Fin n) i => S.weight i)).symm
theorem mapMass_nonneg (S : System ι) (n : ℕ) (g : ℝ × ℝ) :
0 ≤ S.mapMass n g := by
classical
exact Finset.sum_nonneg (fun w _ => (S.wordWeight_pos w).le)
theorem mapMass_sum (S : System ι) (n : ℕ) :
∑ g ∈ S.mapSupport n, S.mapMass n g = 1 := by
classical
simp only [mapSupport, mapMass]
rw [Finset.sum_fiberwise_of_maps_to]
· exact S.wordWeight_sum n
· exact fun w hw => Finset.mem_image_of_mem _ hw
theorem mapMass_pos (S : System ι) {n : ℕ} {g : ℝ × ℝ}
(hg : g ∈ S.mapSupport n) : 0 < S.mapMass n g := by
classical
obtain ⟨w, _, rfl⟩ := Finset.mem_image.mp hg
apply lt_of_lt_of_le (S.wordWeight_pos w)
apply Finset.single_le_sum (fun v _ => (S.wordWeight_pos v).le)
simp
theorem mapMass_le_one (S : System ι) (n : ℕ) (g : ℝ × ℝ) :
S.mapMass n g ≤ 1 := by
classical
rw [mapMass, ← S.wordWeight_sum n]
exact Finset.sum_le_sum_of_subset_of_nonneg (Finset.filter_subset _ _)
(fun w _ _ => (S.wordWeight_pos w).le)
theorem walkEntropy_nonneg (S : System ι) (n : ℕ) : 0 ≤ S.walkEntropy n := by
apply div_nonneg _ (Real.log_nonneg (by norm_num : (1 : ℝ) ≤ 2))
apply Finset.sum_nonneg
intro g _
exact Real.negMulLog_nonneg (S.mapMass_nonneg n g) (S.mapMass_le_one n g)
theorem entropyRate_nonneg (S : System ι) : 0 ≤ S.entropyRate := by
apply le_csInf (Set.range_nonempty _)
rintro _ ⟨n, rfl⟩
exact div_nonneg (S.walkEntropy_nonneg _) (by positivity)
theorem entropyRate_le (S : System ι) (n : ℕ) :
S.entropyRate ≤ S.walkEntropy (n + 1) / (n + 1 : ℕ) := by
apply csInf_le
· refine ⟨0, ?_⟩
rintro _ ⟨k, rfl⟩
exact div_nonneg (S.walkEntropy_nonneg _) (by positivity)
· exact ⟨n, rfl⟩
theorem lyapunov_pos [Nonempty ι] (S : System ι) : 0 < S.lyapunov := by
have hlog : 0 < Real.log 2 := Real.log_pos (by norm_num)
rw [lyapunov, neg_pos]
apply Finset.sum_neg
· intro i _
exact mul_neg_of_pos_of_neg (S.weight_pos i)
(div_neg_of_neg_of_pos (Real.log_neg (S.ratio_pos i) (S.ratio_lt_one i)) hlog)
· exact Finset.univ_nonempty
end System
theorem lowerHausdorffDimension_le_one (μ : Measure ℝ) [IsProbabilityMeasure μ] :
lowerHausdorffDimension μ ≤ 1 := by
calc
lowerHausdorffDimension μ ≤ dimH (Set.univ : Set ℝ) :=
iInf_le_of_le Set.univ (iInf_le_of_le MeasurableSet.univ
(iInf_le_of_le (by simp : 0 < μ Set.univ) le_rfl))
_ = 1 := Real.dimH_univ
namespace System
variable {ι : Type uι} [Fintype ι] [Nonempty ι]
theorem exists_uniform_bounds (S : System ι) :
∃ c T : ℝ, 0 < c ∧ c < 1 ∧ 0 ≤ T ∧
(∀ i, |S.ratio i| ≤ c) ∧ (∀ i, |S.offset i| ≤ T) := by
classical
obtain ⟨i,_,hi⟩ := Finset.exists_max_image Finset.univ (fun i => |S.ratio i|)
Finset.univ_nonempty
obtain ⟨j,_,hj⟩ := Finset.exists_max_image Finset.univ (fun i => |S.offset i|)
Finset.univ_nonempty
exact ⟨|S.ratio i|, |S.offset j|, S.ratio_pos i, S.ratio_lt_one i,
abs_nonneg _, fun k => hi k (Finset.mem_univ k), fun k => hj k (Finset.mem_univ k)⟩
omit [Nonempty ι] in
theorem selfSimilar_apply (S : System ι) (μ : Measure ℝ) (hμ : S.SelfSimilar μ)
{E : Set ℝ} (hE : MeasurableSet E) :
μ E = ∑ i, ENNReal.ofReal (S.weight i) * μ ((S.affine i) ⁻¹' E) := by
classical
conv_lhs => rw [hμ]
simp only [Measure.finsetSum_apply, Measure.smul_apply, smul_eq_mul,
Measure.map_apply (S.affine_continuous _).measurable hE]
theorem selfSimilar_compact (S : System ι) (μ : Measure ℝ) [IsProbabilityMeasure μ]
(hμ : S.SelfSimilar μ) : ∃ B : ℝ, 0 < B ∧ μ (Set.Icc (-B) B)ᶜ = 0 := by
classical
obtain ⟨c,T,hc,hc1,hT,hr,ht⟩ := S.exists_uniform_bounds
let R := T/(1-c)
have hR : 0 ≤ R := div_nonneg hT (sub_pos.mpr hc1).le
have hRc : c*R+T = R := by
dsimp only [R]
field_simp [ne_of_gt (sub_pos.mpr hc1)]
ring
let a : ℕ → ℝ := fun n => R+(1/c)^n
let E : ℕ → Set ℝ := fun n => {x | a n < |x|}
have ha : ∀ n, c*a (n+1)+T = a n := by
intro n
dsimp only [a]
rw [pow_succ]
field_simp
nlinarith [hRc]
have hcInv : 1 < 1/c := (one_lt_div hc).mpr hc1
have hm : Antitone E := by
intro n m hnm x hx
have hp := pow_le_pow_right₀ hcInv.le hnm
change R+(1/c)^m < |x| at hx
change R+(1/c)^n < |x|
linarith
have hE : ∀ n, MeasurableSet (E n) := fun n => measurableSet_lt measurable_const measurable_abs
have hpre : ∀ n i, S.affine i ⁻¹' E n ⊆ E (n+1) := by
intro n i x hx
have hb : |S.affine i x| ≤ c*|x|+T := calc
_ ≤ |S.ratio i*x|+|S.offset i| := abs_add_le _ _
_ ≤ c*|x|+T := by rw [abs_mul]; exact add_le_add (mul_le_mul_of_nonneg_right (hr i) (abs_nonneg x)) (ht i)
change a n < |S.affine i x| at hx
change a (n+1) < |x|
nlinarith [ha n]
have hinc : ∀ n, μ (E n) ≤ μ (E (n+1)) := by
intro n
rw [S.selfSimilar_apply μ hμ (hE n)]
calc
_ ≤ ∑ i, ENNReal.ofReal (S.weight i)*μ (E (n+1)) :=
Finset.sum_le_sum (fun i _ => mul_le_mul' le_rfl (measure_mono (hpre n i)))
_ = μ (E (n+1)) := by
rw [← Finset.sum_mul, ← ENNReal.ofReal_sum_of_nonneg (fun i _ => S.weight_nonneg i), S.weight_sum,
ENNReal.ofReal_one, one_mul]
have hzero : (⋂ n, E n) = ∅ := by
apply Set.eq_empty_iff_forall_notMem.mpr
intro x hx
have hpow := (tendsto_pow_atTop_atTop_of_one_lt hcInv).eventually
(Filter.eventually_gt_atTop (|x|-R))
obtain ⟨n,hn⟩ := hpow.exists
have he := Set.mem_iInter.mp hx n
change R+(1/c)^n < |x| at he
linarith
have hlim := tendsto_measure_iInter_atTop (fun n => (hE n).nullMeasurableSet) hm
⟨0, measure_ne_top μ (E 0)⟩
rw [hzero, measure_empty] at hlim
have hb : ∀ n, μ (E 0) ≤ μ (E n) := by
intro n
induction n with
| zero => rfl
| succ n ih => exact ih.trans (hinc n)
have hz : μ (E 0) = 0 := le_antisymm (ge_of_tendsto' hlim hb) bot_le
refine ⟨R+1, by linarith, ?_⟩
have heq : (Set.Icc (-(R+1)) (R+1))ᶜ = E 0 := by
ext x
simp only [Set.mem_compl_iff, Set.mem_Icc, E, a, pow_zero, Set.mem_ofPred_eq,
← abs_le, not_le]
rw [heq, hz]
end System
theorem binaryEntropy_quadratic_concave :
ConcaveOn ℝ (Set.Icc 0 1) (fun x : ℝ => Real.binEntropy x+2*x^2) := by
apply concaveOn_of_hasDerivWithinAt2_nonpos (f' := fun x =>
Real.log (1-x)-Real.log x+4*x) (f'' := fun x => -(1-x)⁻¹-x⁻¹+4)
(convex_Icc 0 1) (Real.binEntropy_continuous.add (by fun_prop)).continuousOn
· intro x hx
simp only [interior_Icc, Set.mem_Ioo] at hx
have hd := (Real.hasDerivAt_binEntropy (ne_of_gt hx.1) (ne_of_lt hx.2)).add
(((hasDerivAt_id x).pow 2).const_mul 2)
exact (hd.congr_deriv (by dsimp; ring)).hasDerivWithinAt
· intro x hx
simp only [interior_Icc, Set.mem_Ioo] at hx
have hd := (((hasDerivAt_const x 1).sub (hasDerivAt_id x)).log (by linarith : 1-x ≠ 0)).sub
((hasDerivAt_id x).log (ne_of_gt hx.1))
exact ((hd.add ((hasDerivAt_id x).const_mul 4)).congr_deriv (by dsimp; ring)).hasDerivWithinAt
· intro x hx
simp only [interior_Icc, Set.mem_Ioo] at hx
have hpos : 0 < x*(1-x) := mul_pos hx.1 (by linarith)
have he : -(1-x)⁻¹-x⁻¹+4 = (4*x*(1-x)-1)/(x*(1-x)) := by
field_simp [ne_of_gt hx.1, ne_of_gt (sub_pos.mpr hx.2)]
ring
rw [he]
apply div_nonpos_of_nonpos_of_nonneg _ hpos.le
nlinarith [sq_nonneg (2*x-1)]
theorem binaryEntropy_midpoint_gap (a b : ℝ) (ha : a ∈ Set.Icc 0 1)
(hb : b ∈ Set.Icc 0 1) :
(a-b)^2/2 ≤ Real.binEntropy ((a+b)/2)-
(Real.binEntropy a+Real.binEntropy b)/2 := by
have hh := binaryEntropy_quadratic_concave.2 ha hb
(by norm_num : (0 : ℝ) ≤ 1/2) (by norm_num : (0 : ℝ) ≤ 1/2) (by norm_num : (1/2 : ℝ)+1/2=1)
simp only [smul_eq_mul] at hh
have he : (1/2 : ℝ)*a+(1/2)*b=(a+b)/2 := by ring
rw [he] at hh
nlinarith [hh]
end EntropyRateDimension
end
end OAI