openAI-math-dataset / lean /OAI /NumberTheory /DukePrimeDegree /Geometry /AtomlessDiagonalMeasure.lean
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Add lean source and binary files (part 103)
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import OAI.NumberTheory.DukePrimeDegree.Dynamics.SmallCentralizer
import OAI.NumberTheory.DukePrimeDegree.Entropy.CompactFutureLifts
import OAI.NumberTheory.DukePrimeDegree.Dynamics.DiagonalFlowMaximal
import Mathlib.Topology.Separation.Lemmas
namespace OAI
/-! # Diagonal-invariant probability measures have no point atoms -/
noncomputable section
open MeasureTheory Set Filter
open scoped Topology
namespace DukePrimeDegree
open PrimeDegreePackets
lemma measure_singleton_eq_zero_of_continuous_orbit
{Y : Type*} [MetricSpace Y] [MeasurableSpace Y] [MeasurableSingletonClass Y]
(μ : Measure Y) [IsFiniteMeasure μ] (x : Y) (f : ℝ → Y)
(hf : Continuous f) (hf0 : f 0=x)
(hmass : ∀ t, μ {f t}=μ {x}) (hne : ∃ t, f t ≠ x) : μ {x}=0 := by
by_contra hx
have hc : {y : Y | 0 < μ {y}}.Countable := by
simpa only [id_eq,Set.ofPred_eq_eq_singleton] using
(Measure.countable_meas_level_set_pos (μ := μ) (g := id) measurable_id)
have hr : (range f).Countable := hc.mono (by
rintro _ ⟨t,rfl⟩
change 0 < μ {f t}
rw [hmass]
exact pos_iff_ne_zero.mpr hx)
have hp : IsPreconnected (range f) := isPreconnected_range hf
have hs : (range f).Subsingleton := hr.isTotallyDisconnected _ (subset_refl _) hp
obtain ⟨t,ht⟩ := hne
exact ht ((hs ⟨t,rfl⟩ ⟨0,rfl⟩).trans hf0)
/-- Only one nontrivial one-parameter diagonal flow is needed. -/
theorem nullSingletonClass_of_diagonal_invariant (d : ℕ)
{i j : Fin (d+1)} (hij : i ≠ j)
(μ : Measure (X (d+1))) [IsProbabilityMeasure μ]
(hA : ∀ u : LogCoordinates d, μ.map (fun x => rightAction x (diagonalFlow u))=μ) :
NullSingletonClass μ := by
let : MetricSpace (X (d+1)) := TopologicalSpace.metrizableSpaceMetric (X (d+1))
let ell := rootContractionWeights i j
let D := diagonalOneParameter ell (rootContractionWeights_sum i j)
have hD : Continuous D := continuous_diagonalOneParameter ell _
constructor
intro x
apply measure_singleton_eq_zero_of_continuous_orbit μ x (fun t => rightAction x (D t))
((continuous_rightAction_uncurry _).comp (continuous_const.prodMk hD))
(by simp only [D,diagonalOneParameter_zero,rightAction_one])
· intro t
have hpres : MeasurePreserving (fun y => rightAction y (D t)) μ μ := by
refine ⟨(continuous_rightAction _).measurable,?_⟩
dsimp only [D]
rw [diagonalOneParameter_eq_diagonalFlow]
exact hA _
have h := hpres.measure_preimage (measurableSet_singleton (rightAction x (D t))).nullMeasurableSet
have he : (fun y => rightAction y (D t)) ⁻¹' {rightAction x (D t)}={x} := by
ext y
exact (rightActionHomeomorph (D t)).injective.eq_iff
rw [he] at h
exact h.symm
· obtain ⟨r,hr,hinj⟩ := compact_uniform_chart_injective ({x} : Set (X (d+1))) isCompact_singleton
have hnear : {t : ℝ | D t ∈ matrixBall (d+1) r} ∈ 𝓝 0 :=
hD.continuousAt.preimage_mem_nhds
((matrixBall_isOpen _ _).mem_nhds (by simpa only [D,diagonalOneParameter_zero] using
(one_mem_matrixBall (d+1) hr)))
obtain ⟨δ,hδ,hsub⟩ := Metric.mem_nhds_iff.mp hnear
have ht : 0 < δ/2 := by positivity
have htm : D (δ/2) ∈ matrixBall (d+1) r := hsub (by
simpa only [Metric.mem_ball,Real.dist_eq,sub_zero,abs_of_pos ht] using
(show δ/2 < δ by linarith))
refine ⟨δ/2,?_⟩
intro heq
have he : D (δ/2)=1 := hinj x (mem_singleton x) htm
(one_mem_matrixBall (d+1) hr) (by simpa only [rightAction_one] using heq)
have hei := congrArg (fun g : G (d+1) => g.val i i) he
have hexp : Real.exp (δ/2)=1 := by
simpa [D,ell,diagonalOneParameter,rootContractionWeights,hij] using hei
have hz : δ/2=0 := Real.exp_injective (hexp.trans Real.exp_zero.symm)
linarith
end DukePrimeDegree
end
end OAI