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Add lean source and binary files (part 95)
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import Mathlib
namespace OAI
universe uι
section
open scoped BigOperators ENNReal
open MeasureTheory
namespace EntropyRateDimension
structure System (ι : Type uι) [Fintype ι] where
ratio : ι → ℝ
offset : ι → ℝ
weight : ι → ℝ
ratio_pos : ∀ i, 0 < |ratio i|
ratio_lt_one : ∀ i, |ratio i| < 1
weight_pos : ∀ i, 0 < weight i
weight_sum : ∑ i, weight i = 1
namespace System
variable {ι : Type uι} [Fintype ι]
def affine (S : System ι) (i : ι) (x : ℝ) : ℝ := S.ratio i * x + S.offset i
def wordAffine (S : System ι) : List ι → ℝ × ℝ
| [] => (1, 0)
| i :: w => (S.ratio i * (S.wordAffine w).1,
S.ratio i * (S.wordAffine w).2 + S.offset i)
def completeMap (S : System ι) {n : ℕ} (w : Fin n → ι) : ℝ × ℝ :=
S.wordAffine (List.ofFn w)
noncomputable def wordWeight (S : System ι) {n : ℕ} (w : Fin n → ι) : ℝ :=
∏ j, S.weight (w j)
noncomputable def mapSupport (S : System ι) (n : ℕ) : Finset (ℝ × ℝ) := by
classical
exact Finset.univ.image (S.completeMap (n := n))
noncomputable def mapMass (S : System ι) (n : ℕ) (g : ℝ × ℝ) : ℝ := by
classical
exact ∑ w ∈ (Finset.univ : Finset (Fin n → ι)).filter (S.completeMap · = g),
S.wordWeight w
noncomputable def walkEntropy (S : System ι) (n : ℕ) : ℝ :=
(∑ g ∈ S.mapSupport n, Real.negMulLog (S.mapMass n g)) / Real.log 2
noncomputable def entropyRate (S : System ι) : ℝ :=
sInf (Set.range fun n : ℕ => S.walkEntropy (n + 1) / (n + 1 : ℕ))
noncomputable def lyapunov (S : System ι) : ℝ :=
-(∑ i, S.weight i * (Real.log |S.ratio i| / Real.log 2))
def SelfSimilar (S : System ι) (μ : Measure ℝ) : Prop :=
μ = ∑ i, ENNReal.ofReal (S.weight i) • μ.map (S.affine i)
end System
noncomputable def lowerHausdorffDimension (μ : Measure ℝ) : ℝ≥0∞ :=
⨅ (E : Set ℝ) (_ : MeasurableSet E) (_ : 0 < μ E), dimH E
end EntropyRateDimension
end
end OAI