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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.LinearGroups.LocalPositiveSubspaceOrbit
import OAI.Probability.CriticalPercolation.LinearGroups.LocalFurstenbergConcentration
namespace OAI
section
noncomputable section
open Set Function Filter MeasureTheory NormedSpace Module Metric TopologicalSpace
open scoped Classical Topology ENNReal
namespace CriticalPercolation.LocalProjective
variable {K V : Type*} [NontriviallyNormedField K] [NormedAddCommGroup V] [NormedSpace K V]
lemma equiv_operator_ne_zero [Nontrivial V] (a : V ≃L[K] V) :
a.toContinuousLinearMap≠0 := by
intro he
obtain ⟨x,hx⟩ := exists_ne (0:V)
apply hx
apply a.injective
have hh := congrArg (fun f : V →L[K] V => f x) he
exact hh.trans a.map_zero.symm
variable (t : K) (ht : 1<‖t‖)
include ht
lemma exists_shell_scalar {U : Type*} [NormedAddCommGroup U] [NormedSpace K U]
(x : U) (hx : x≠0) : ∃ c : K, c≠0 ∧ 1/‖t‖≤‖c • x‖ ∧ ‖c • x‖≤1 := by
obtain ⟨c,hc,hlt,hle,_⟩ := rescale_to_shell ht zero_lt_one hx
exact ⟨c,hc,hle,hlt.le⟩
noncomputable def shellScalar {U : Type*} [NormedAddCommGroup U] [NormedSpace K U]
(x : U) (hx : x≠0) : K := Classical.choose (exists_shell_scalar t ht x hx)
lemma shellScalar_spec {U : Type*} [NormedAddCommGroup U] [NormedSpace K U]
(x : U) (hx : x≠0) : shellScalar t ht x hx≠0 ∧
1/‖t‖≤‖shellScalar t ht x hx • x‖ ∧ ‖shellScalar t ht x hx • x‖≤1 :=
Classical.choose_spec (exists_shell_scalar t ht x hx)
variable [Nontrivial V]
def normalized (a : V ≃L[K] V) : V →L[K] V :=
shellScalar t ht a.toContinuousLinearMap (equiv_operator_ne_zero a) • a.toContinuousLinearMap
def shell (U : Type*) [NormedAddCommGroup U] : Set U := {x | 1/‖t‖≤‖x‖ ∧ ‖x‖≤1}
omit ht in
lemma compact_shell {U : Type*} [NormedAddCommGroup U] [ProperSpace U] : IsCompact (shell t U) := by
have he : shell t U=closedBall (0:U) 1 ∩ {x | 1/‖t‖≤‖x‖} := by
ext x
simp only [shell,mem_ofPred_eq,mem_inter_iff,mem_closedBall,dist_zero_right,and_comm]
rw [he]
exact (isCompact_closedBall (0:U) 1).inter_right (isClosed_le continuous_const continuous_norm)
lemma normalized_mem (a : V ≃L[K] V) : normalized t ht a∈shell t (V →L[K] V) :=
(shellScalar_spec t ht _ (equiv_operator_ne_zero a)).2
variable [ProperSpace K] [FiniteDimensional K V]
variable {G : Type*} [Group G]
lemma normalizedClosure_compact (ρ : G →* (V ≃L[K] V)) :
IsCompact (closure (Set.range (fun g => normalized t ht (ρ g)))) := by
let : ProperSpace (V →L[K] V) := FiniteDimensional.proper K _
apply (compact_shell t).of_isClosed_subset isClosed_closure
apply closure_minimal _ (compact_shell t).isClosed
rintro A ⟨g,rfl⟩
exact normalized_mem t ht _
lemma normalizedClosure_injective (ρ : G →* (V ≃L[K] V))
(μ : Measure (Space K V)) [IsProbabilityMeasure μ]
(hn : ∀ W : Submodule K V, W≠⊤ → μ (subspace W)=0)
(hμ : ∀ g, Measure.map (action (ρ g)) μ=μ)
(A : V →L[K] V) (hA : A∈closure (Set.range (fun g => normalized t ht (ρ g)))) :
Injective A := by
let : ProperSpace (V →L[K] V) := FiniteDimensional.proper K _
obtain ⟨B,hB,hlim⟩ := mem_closure_iff_seq_limit.mp hA
choose g hg using hB
have hnorm : A∈shell t (V →L[K] V) := by
apply closure_minimal _ (compact_shell t).isClosed hA
rintro B ⟨g,rfl⟩
exact normalized_mem t ht _
have hne : A≠0 := by
intro he
have hp : 0<1/‖t‖ := div_pos zero_lt_one (lt_trans zero_lt_one ht)
have hh := hnorm.1
rw [he,norm_zero] at hh
exact hp.not_ge hh
apply injective_of_nonzero_projective_limit μ hn (fun n => ρ (g n))
(fun n => shellScalar t ht _ (equiv_operator_ne_zero (ρ (g n))))
(fun n => (shellScalar_spec t ht _ (equiv_operator_ne_zero _)).1) A hne _ (fun n => hμ _)
change Tendsto (fun n => normalized t ht (ρ (g n))) atTop (𝓝 A)
convert hlim using 1
funext n
exact hg n
lemma projective_lower_bound_of_null_subspaces
(ρ : G →* (V ≃L[K] V)) (μ : Measure (Space K V)) [IsProbabilityMeasure μ]
(hn : ∀ W : Submodule K V, W≠⊤ → μ (subspace W)=0)
(hμ : ∀ g, Measure.map (action (ρ g)) μ=μ) :
∃ δ : ℝ, 0<δ ∧ ∀ g : G, ∀ x : V,
δ*‖(ρ g).toContinuousLinearMap‖*‖x‖≤‖ρ g x‖ := by
let : ProperSpace V := FiniteDimensional.proper K V
let : ProperSpace (V →L[K] V) := FiniteDimensional.proper K _
let C := closure (Set.range (fun g => normalized t ht (ρ g)))
have hC : IsCompact C := normalizedClosure_compact t ht ρ
obtain ⟨v,hv⟩ := exists_ne (0:V)
have hne : (C×ˢshell t V).Nonempty :=
⟨(normalized t ht (ρ 1),shellScalar t ht v hv • v),subset_closure ⟨1,rfl⟩,
(shellScalar_spec t ht v hv).2⟩
have hcont : Continuous (fun z : (V →L[K] V)×V => ‖z.1 z.2‖) :=
(continuous_fst.clm_apply continuous_snd).norm
obtain ⟨z,hz,hmin⟩ := (hC.prod (compact_shell t)).exists_isMinOn hne hcont.continuousOn
have hzinj : Injective z.1 := normalizedClosure_injective t ht ρ μ hn hμ z.1 hz.1
have hz2 : z.2≠0 := by
intro he
have hh := hz.2.1
rw [he,norm_zero] at hh
exact (div_pos zero_lt_one (lt_trans zero_lt_one ht)).not_ge hh
have hδ : 0<‖z.1 z.2‖ := norm_pos_iff.mpr
(fun he => hz2 (hzinj (he.trans z.1.map_zero.symm)))
refine ⟨‖z.1 z.2‖,hδ,?_⟩
intro g x
by_cases hx : x=0
· simp [hx]
let b := shellScalar t ht _ (equiv_operator_ne_zero (ρ g))
let c := shellScalar t ht x hx
have hb := (shellScalar_spec t ht _ (equiv_operator_ne_zero (ρ g))).2.2
have hc := (shellScalar_spec t ht x hx).2.2
have hsmall := hmin (a := (normalized t ht (ρ g), c • x))
⟨subset_closure ⟨g,rfl⟩,(shellScalar_spec t ht x hx).2⟩
change ‖z.1 z.2‖≤‖(b • (ρ g).toContinuousLinearMap) (c • x)‖ at hsmall
simp only [smul_apply,map_smul,norm_smul] at hsmall
change ‖b • (ρ g).toContinuousLinearMap‖≤1 at hb
change ‖c • x‖≤1 at hc
rw [norm_smul] at hb hc
have hp := mul_le_mul hb hc (mul_nonneg (norm_nonneg _) (norm_nonneg _)) zero_le_one
have hh := mul_le_mul_of_nonneg_right hsmall (mul_nonneg (norm_nonneg (ρ g).toContinuousLinearMap) (norm_nonneg x))
calc
_ = ‖z.1 z.2‖ * (‖(ρ g).toContinuousLinearMap‖*‖x‖) := by ring
_ ≤ _ := hh
_ = (‖b‖*‖(ρ g).toContinuousLinearMap‖*(‖c‖*‖x‖))*‖ρ g x‖ := by
change ‖c‖ * (‖b‖ * ‖ρ g x‖) * (‖(ρ g).toContinuousLinearMap‖*‖x‖) = _
ring
_ ≤ 1*‖ρ g x‖ := mul_le_mul_of_nonneg_right (by simpa only [one_mul] using hp) (norm_nonneg _)
_ = _ := one_mul _
omit ht in
lemma sparse_local_furstenberg_alternative [DecidableEq G]
(ρ : G →* (V ≃L[K] V)) (S : Finset G)
(h1 : (1:G)∈S) (hgen : Subgroup.closure (S:Set G)=⊤)
(d : ℕ) (hg : SparseGrowth.HasDegree S d) :
(∃ W : Submodule K V, W≠⊥ ∧ W≠⊤ ∧
(Set.range (fun g => W.map (ρ g).toLinearEquiv.toLinearMap)).Finite) ∨
(∃ δ : ℝ, 0<δ ∧ ∀ g : G, ∀ x : V,
δ*‖(ρ g).toContinuousLinearMap‖*‖x‖≤‖ρ g x‖) := by
obtain ⟨t,ht⟩ := NormedField.exists_one_lt_norm K
obtain ⟨μ,hprob,hμ⟩ := exists_invariant_measure ρ S h1 hgen d hg
let : IsProbabilityMeasure μ := hprob
by_cases hn : ∀ W : Submodule K V, W≠⊤ → μ (subspace W)=0
· exact Or.inr (projective_lower_bound_of_null_subspaces t ht ρ μ hn hμ)
· push Not at hn
exact Or.inl (exists_finite_positive_subspace_orbit ρ μ hμ hn)
end CriticalPercolation.LocalProjective
end
end
end OAI