Cutoff parameters #
The modulus function and its truncations #
gₙ = 1_{[0,aₙ]} / (1 − t).
Equations
- CommutingRepetition.GraphMod.gn n = (Set.Icc 0 (CommutingRepetition.GraphMod.aN n)).indicator fun (t : ℝ) => 1 / (1 - t)
Instances For
mₙ = 1_{[bₙ,aₙ]} / √(t(1−t)).
Equations
- CommutingRepetition.GraphMod.mn n = (Set.Icc (CommutingRepetition.GraphMod.bN n) (CommutingRepetition.GraphMod.aN n)).indicator fun (t : ℝ) => 1 / √(t * (1 - t))
Instances For
Pointwise identities #
The graph data of x #
theorem
CommutingRepetition.GraphMod.inner_bE_traceVector
(M : StdTracialAlgebra)
(x : M.H)
{g : ℝ → ℝ}
(hg : BorelCalc.Bdd g)
:
inner ℂ M.traceVector ((BorelCalc.bfc (Eop M x) ⋯ g) M.traceVector) = ↑(∫ (t : ℝ), g t ∂BorelCalc.ν (Eop M x) ⋯ M.traceVector)
⟪Ω, g(E) Ω⟫ = ∫ g dν_Ω.
theorem
CommutingRepetition.GraphMod.inner_bE_bE
(M : StdTracialAlgebra)
(x : M.H)
{f g : ℝ → ℝ}
(hf : BorelCalc.Bdd f)
(hg : BorelCalc.Bdd g)
(ξ η : M.H)
:
inner ℂ ((BorelCalc.bfc (Eop M x) ⋯ f) ξ) ((BorelCalc.bfc (Eop M x) ⋯ g) η) = inner ℂ ξ ((BorelCalc.bfc (Eop M x) ⋯ (f * g)) η)
theorem
CommutingRepetition.GraphMod.norm_ψn_traceVector_sq
(M : StdTracialAlgebra)
(x : M.H)
(n : ℕ)
:
‖(BorelCalc.bfc (Eop M x) ⋯ (ψn n)) M.traceVector‖ ^ 2 = ‖(BorelCalc.P (Eop M x) ⋯ (Set.Icc 0 (aN n))) x‖ ^ 2
The norm of a truncated modulus vector: ‖ψₙ(E)Ω‖² = ‖P[0,aₙ] x‖².
theorem
CommutingRepetition.GraphMod.tendsto_norm_PE_Icc_aN
(M : StdTracialAlgebra)
(x : M.H)
:
Filter.Tendsto (fun (n : ℕ) => ‖(BorelCalc.P (Eop M x) ⋯ (Set.Icc 0 (aN n))) x‖ ^ 2) Filter.atTop (nhds (‖x‖ ^ 2))
theorem
CommutingRepetition.GraphMod.inner_ψn_traceVector
(M : StdTracialAlgebra)
(x : M.H)
{m n : ℕ}
(hmn : m ≤ n)
:
(inner ℂ ((BorelCalc.bfc (Eop M x) ⋯ (ψn n)) M.traceVector) ((BorelCalc.bfc (Eop M x) ⋯ (ψn m)) M.traceVector)).re = ‖(BorelCalc.bfc (Eop M x) ⋯ (ψn m)) M.traceVector‖ ^ 2
The polarized norms: ⟪ψₙ(E)Ω, ψₘ(E)Ω⟫ = ‖ψₘ(E)Ω‖² for m ≤ n.
An abstract Cauchy criterion #
theorem
CommutingRepetition.GraphMod.cauchySeq_of_inner_min
{𝓗 : Type u_1}
[NormedAddCommGroup 𝓗]
[InnerProductSpace ℂ 𝓗]
(u : ℕ → 𝓗)
(c : ℕ → ℝ)
(hin : ∀ (m n : ℕ), m ≤ n → (inner ℂ (u n) (u m)).re = c m)
(hc : ∀ (n : ℕ), ‖u n‖ ^ 2 = c n)
{l : ℝ}
(hconv : Filter.Tendsto c Filter.atTop (nhds l))
:
A sequence whose Gram matrix is ⟪u n, u m⟫ = c (min m n) with c convergent is Cauchy.
theorem
CommutingRepetition.GraphMod.exists_hvec
(M : StdTracialAlgebra)
(x : M.H)
:
∃ (h : M.H), Filter.Tendsto (fun (n : ℕ) => (BorelCalc.bfc (Eop M x) ⋯ (ψn n)) M.traceVector) Filter.atTop (nhds h)
theorem
CommutingRepetition.GraphMod.hvec_tendsto
(M : StdTracialAlgebra)
(x : M.H)
:
Filter.Tendsto (fun (n : ℕ) => (BorelCalc.bfc (Eop M x) ⋯ (ψn n)) M.traceVector) Filter.atTop (nhds (hvec M x))
theorem
CommutingRepetition.GraphMod.J_bE_traceVector
(M : StdTracialAlgebra)
(x : M.H)
{g : ℝ → ℝ}
(hg : BorelCalc.Bdd g)
:
Wₙ = C mₙ(E).
Equations
Instances For
theorem
CommutingRepetition.GraphMod.tendsto_norm_PE_Icc_bN_aN
(M : StdTracialAlgebra)
(x ζ : M.H)
:
Filter.Tendsto (fun (n : ℕ) => ‖(BorelCalc.P (Eop M x) ⋯ (Set.Icc (bN n) (aN n))) ζ‖ ^ 2) Filter.atTop
(nhds (‖(BorelCalc.P (Eop M x) ⋯ (Set.Ioo 0 1)) ζ‖ ^ 2))
theorem
CommutingRepetition.GraphMod.exists_Wn_tendsto
(M : StdTracialAlgebra)
(x ζ : M.H)
:
∃ (l : M.H), Filter.Tendsto (fun (n : ℕ) => (Wn M x n) ζ) Filter.atTop (nhds l)
theorem
CommutingRepetition.GraphMod.W_tendsto
(M : StdTracialAlgebra)
(x ζ : M.H)
:
Filter.Tendsto (fun (n : ℕ) => (Wn M x n) ζ) Filter.atTop (nhds ((W M x) ζ))
W*W = P(0,1).
theorem
CommutingRepetition.GraphMod.Wn_ψn
(M : StdTracialAlgebra)
(x : M.H)
{n k : ℕ}
(hnk : n ≤ k)
:
(Wn M x k) ((BorelCalc.bfc (Eop M x) ⋯ (ψn n)) M.traceVector) = M.J ((BorelCalc.P (Eop M x) ⋯ (Set.Icc (bN k) (aN n))) x)
Wₖ ψₙ(E) Ω = J (P[bₖ,aₙ] x) for k ≥ n.
theorem
CommutingRepetition.GraphMod.W_ψn
(M : StdTracialAlgebra)
(x : M.H)
(n : ℕ)
:
(W M x) ((BorelCalc.bfc (Eop M x) ⋯ (ψn n)) M.traceVector) = M.J ((BorelCalc.P (Eop M x) ⋯ (Set.Ioc 0 (aN n))) x)
The polar element #
v = W* as an element of the von Neumann algebra.