openAI-math-dataset / lean /OAI /NumberTheory /DukePrimeDegree /Entropy /AtomicRootEntropyZero.lean
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import OAI.NumberTheory.DukePrimeDegree.Entropy.AtomicFutureCover
import OAI.NumberTheory.DukePrimeDegree.Entropy.SmallFutureObservation
import OAI.NumberTheory.DukePrimeDegree.Entropy.CountablePatchEntropy
import OAI.NumberTheory.DukePrimeDegree.Entropy.PredecessorFutureInformation
namespace OAI
/-! # Atomic expanding roots force zero metric entropy -/
noncomputable section
open MeasureTheory Set TopologicalSpace
open scoped Topology
namespace DukePrimeDegree
open PrimeDegreePackets
theorem diagonal_entropy_zero_of_atomic_positive_roots (d : ℕ)
(ell : Fin (d+1) → ℝ) (hell : ∑ i, ell i=0)
(hgap : ∀ p : allPositiveRoots (d+1), Real.log 4 ≤ ell p.val.2-ell p.val.1)
(μ : Measure (X (d+1))) [IsProbabilityMeasure μ]
[ErgodicSMul (Multiplicative (LogCoordinates d)) (X (d+1)) μ]
(hatom : ∀ p : ↥(allPositiveRoots (d+1) \ ∅), ∀ᵐ x ∂μ,
intrinsicRootLeaf (ne_of_lt (Finset.mem_filter.mp (Finset.mem_sdiff.mp p.prop).1).2) μ x =
Measure.dirac 0) :
measureEntropy μ (fun x => rightAction x (diagonalOneParameter ell hell (-1)))=0 := by
have hA (u : LogCoordinates d) : μ.map (fun x => rightAction x (diagonalFlow u))=μ :=
(measurePreserving_smul (Multiplicative.ofAdd u) μ).map_eq
have hA' (v : transverseNeutralSpace (d+1)) :
μ.map (fun x => rightAction x (diagonalOneParameter v.val v.prop 1))=μ := by
rw [diagonalOneParameter_eq_diagonalFlow]
exact hA _
have hord : StrictMono ell := by
intro i j hij
have hh := hgap ⟨(i,j),Finset.mem_filter.mpr ⟨Finset.mem_univ _,hij⟩⟩
have hp : 0 < Real.log 4 := Real.log_pos (by norm_num)
dsimp at hh
linarith
obtain ⟨H,Q,r,hH,hQ,hanti,hr,hinj,hbranch,hlift,hbilateral⟩ :=
exists_small_future_observation d ell hell hgap μ hA
obtain ⟨s,hsm,hs⟩ := exists_measurable_quotient_section (d+1)
let K₀ : PositiveCompacts (transverseNeutralSpace (d+1)) := Classical.arbitrary _
let η := Measure.addHaarMeasure K₀
let z₀ : NeutralCoordinateBase (d+1) × transverseNeutralSpace (d+1) :=
((⟨upperRootIdentity (d+1),by intro i; simp [upperRootIdentity]⟩,
(completeRootChain (d+1)).zeroTime),0)
obtain ⟨E,hE,hfull,hpair⟩ := exists_atomic_neutral_future_cover d ell hell hord Q H hH
r hanti hr hinj hlift μ s hsm hs hA' η K₀ K₀.isCompact Measure.addHaarMeasure_self
z₀ hatom
let T := fun x => rightAction x (diagonalOneParameter ell hell (-1))
have hT : MeasurePreserving T μ μ := by
refine ⟨(continuous_rightAction _).measurable,?_⟩
dsimp only [T]
rw [diagonalOneParameter_eq_diagonalFlow]
exact hA _
obtain ⟨M,B,decode,hB,href,hdecode,hupper⟩ :=
finite_predecessors_entropy_upper μ hT Q hQ hbranch
have hzero := predecessor_information_zero_of_sublinear_words μ hT Q hQ B hB href
decode hdecode (fun ε hε =>
countable_patch_name_entropy_sublinear ell hell Q hQ E hE hpair μ hfull hT B hB hε)
apply le_antisymm _ bot_le
have hbound := measureEntropy_le_of_bilateral_heightClip_bounds d ell hell Q hQ μ hA
(fun x y hxy => hbilateral x y hxy.1 hxy.2) 0
(fun L => by simpa only [hzero] using hupper L)
simpa only [ENNReal.ofReal_zero,bot_eq_zero] using hbound
end DukePrimeDegree
end
end OAI