openAI-math-dataset / lean /OAI /Analysis /BrownMeasure /UnitDeterminant.lean
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Add lean source and binary files (part 12)
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import Mathlib
import OAI.Analysis.BrownMeasure.Model
namespace OAI
noncomputable section
open MeasureTheory Filter InnerProductSpace
open scoped ComplexInnerProductSpace Topology ENNReal Ring
namespace FiniteFactor
local instance unitDeterminantRealModule : Module ℝ ProductOp := Module.complexToReal ProductOp
local instance unitDeterminantFunctionalCalculus :
IsometricContinuousFunctionalCalculus ℝ ProductOp IsSelfAdjoint :=
IsSelfAdjoint.instIsometricContinuousFunctionalCalculus
lemma sourceVacuumFunctional_mono {A B : ProductOp} (h : A≤B) :
(sourceVacuumFunctional A).re≤(sourceVacuumFunctional B).re := by
have hpos := (ContinuousLinearMap.nonneg_iff_isPositive (f := B-A)).mp
(sub_nonneg.mpr h)
have hb := hpos.re_inner_nonneg_right sourceVacuum
change 0≤(inner ℂ sourceVacuum ((B-A) sourceVacuum)).re at hb
simp only [sub_apply,inner_sub_right,Complex.sub_re] at hb
exact sub_nonneg.mp hb
lemma product_abs_isUnit {T : ProductOp} (hT : IsUnit T) : IsUnit (CFC.abs T) := by
apply (isUnit_pow_iff (by norm_num : (2:ℕ)≠0)).mp
rw [pow_two, CFC.abs_mul_abs]
exact hT.star.mul hT
lemma product_abs_spectrum_pos {T : ProductOp} (hT : IsUnit T) {y : ℝ}
(hy : y∈spectrum ℝ (CFC.abs T)) : 0<y := by
refine (spectrum_nonneg_of_nonneg (CFC.abs_nonneg T) hy).lt_of_ne ?_
intro he
exact spectrum.zero_notMem ℝ (product_abs_isUnit hT) (he ▸ hy)
lemma logarithmCutoff_cfc_eq_log {A : ProductOp} (hA : 0≤A) (hu : IsUnit A) :
∃ n:ℕ,cfc (logarithmCutoff n) A=CFC.log A := by
have hself := hA.isSelfAdjoint
obtain ⟨y,hy,hmin⟩ := (spectrum.isCompact (𝕜:=ℝ) A).exists_isMinOn
(ContinuousFunctionalCalculus.spectrum_nonempty A hself) continuous_id.continuousOn
have hy0 : 0<y := by
refine (spectrum_nonneg_of_nonneg hA hy).lt_of_ne ?_
intro he
exact spectrum.zero_notMem ℝ hu (he ▸ hy)
have ht := Real.tendsto_exp_neg_atTop_nhds_zero.comp tendsto_natCast_atTop_atTop
obtain ⟨n,hn⟩ := (ht.eventually (gt_mem_nhds hy0)).exists
refine ⟨n,?_⟩
apply cfc_congr
intro x hx
change Real.log (max (Real.exp (-(n:ℝ))) x)=Real.log x
have hn' : Real.exp (-(n:ℝ))≤x := hn.le.trans (hmin hx)
rw [max_eq_right hn']
lemma FugledeKadisonDeterminant_of_isUnit (T : ProductOp) (hu : IsUnit T) :
FugledeKadisonDeterminant sourceVacuumFunctional T=
ENNReal.ofReal (Real.exp (sourceVacuumFunctional (CFC.log (CFC.abs T))).re) := by
have hp : ∀y∈spectrum ℝ (CFC.abs T),0<y := fun y hy=>product_abs_spectrum_pos hu hy
have hc : ContinuousOn Real.log (spectrum ℝ (CFC.abs T)) := by
apply Real.continuousOn_log.mono
intro y hy
exact (hp y hy).ne'
apply le_antisymm
· obtain ⟨n,hn⟩ := logarithmCutoff_cfc_eq_log (CFC.abs_nonneg T) (product_abs_isUnit hu)
exact (iInf_le _ n).trans_eq
(congrArg (fun operator : ProductOp =>
ENNReal.ofReal (Real.exp (sourceVacuumFunctional operator).re)) hn)
· apply le_iInf
intro n
apply ENNReal.ofReal_le_ofReal
apply Real.exp_le_exp.mpr
apply sourceVacuumFunctional_mono
apply cfc_mono (hf:=hc) (hg:=(logarithmCutoff n).continuous.continuousOn)
intro y hy
exact Real.log_le_log (hp y hy) (le_max_right _ _)
end FiniteFactor
end
end OAI