Eₓ ∈ R(M)′ commutes with J E_y J.
theorem
CommutingRepetition.GraphMod.conjJ_Eop_sa
(M : StdTracialAlgebra)
(y : M.H)
:
IsSelfAdjoint (M.conjJ (Eop M y))
The joint spectral measure of (Eₓ, J E_y J) at the trace vector.
Equations
Instances For
instance
CommutingRepetition.GraphMod.νxy_isFiniteMeasure
(M : StdTracialAlgebra)
(x y : M.H)
:
MeasureTheory.IsFiniteMeasure (νxy M x y)
instance
CommutingRepetition.GraphMod.νxy_isProbabilityMeasure
(M : StdTracialAlgebra)
(x y : M.H)
:
theorem
CommutingRepetition.GraphMod.νxy_prod
(M : StdTracialAlgebra)
(x y : M.H)
{K K' : Set ℝ}
(hK : MeasurableSet K)
(hK' : MeasurableSet K')
:
↑((νxy M x y) (K ×ˢ K')).toReal = inner ℂ M.traceVector ((BorelCalc.P (Eop M x) ⋯ K) ((BorelCalc.P (Eop M y) ⋯ K') M.traceVector))
Rectangle masses: ν_{x,y}(K × K') = ⟪Ω, 1_K(Eₓ) 1_{K'}(E_y) Ω⟫.
theorem
CommutingRepetition.GraphMod.integral_νxy_mul
(M : StdTracialAlgebra)
(x y : M.H)
{g h : ℝ → ℝ}
(hg : BorelCalc.Bdd g)
(hh : BorelCalc.Bdd h)
:
∫ (p : ℝ × ℝ), g p.1 * h p.2 ∂νxy M x y = (inner ℂ ((BorelCalc.bfc (Eop M x) ⋯ g) M.traceVector) ((BorelCalc.bfc (Eop M y) ⋯ h) M.traceVector)).re
The product formula at the trace vector, for bounded Borel g, h:
∫ g(s) h(t) dν_{x,y} = re ⟪g(Eₓ) Ω, h(E_y) Ω⟫.
The coupling of the modulus distributions #
The joint coupling ν_{x,y} = (ψ × ψ)_* ν_{Eₓ, JE_yJ; Ω} of μₓ and μ_y.
Equations
Instances For
theorem
CommutingRepetition.GraphMod.νψ_prob
(M : StdTracialAlgebra)
(x y : M.H)
:
MeasureTheory.IsProbabilityMeasure (νψ M x y)
theorem
CommutingRepetition.GraphMod.cross
(M : StdTracialAlgebra)
(x y : M.H)
{I J : Set ℝ}
(hI : MeasurableSet I)
(hJ : MeasurableSet J)
:
The rectangle identity in the form consumed by JointSpectralData.cross.
The cross moment #
theorem
CommutingRepetition.GraphMod.ψn_mul_tendsto
(p : ℝ × ℝ)
:
Filter.Tendsto (fun (n : ℕ) => ψn n p.1 * ψn n p.2) Filter.atTop (nhds (ψ p.1 * ψ p.2))