Download lean/OAI/Analysis/FiniteFactor/OperatorTracialRepresentation.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
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3.67 kB
| import Mathlib.Analysis.VonNeumannAlgebra.Basic | |
| import Mathlib.Analysis.InnerProductSpace.Adjoint | |
| namespace OAI | |
| noncomputable section | |
| namespace FiniteFactor | |
| open scoped Topology | |
| variable {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H] | |
| /-- A concrete finite tracial von Neumann algebra in a faithful vector-trace | |
| representation. These are operator-algebra data, without approximation assumptions. -/ | |
| structure TracialRepresentation (M : VonNeumannAlgebra H) where | |
| vector : H | |
| norm_vector : ‖vector‖ = 1 | |
| cyclic : ∀ S T : M.toStarSubalgebra, | |
| inner ℂ vector ((S : H →L[ℂ] H) ((T : H →L[ℂ] H) vector)) = | |
| inner ℂ vector ((T : H →L[ℂ] H) ((S : H →L[ℂ] H) vector)) | |
| separating : ∀ T : M.toStarSubalgebra, (T : H →L[ℂ] H) vector = 0 → T = 0 | |
| namespace TracialRepresentation | |
| variable {M : VonNeumannAlgebra H} (τ : TracialRepresentation M) | |
| abbrev Algebra := M.toStarSubalgebra | |
| def trace (T : Algebra (M := M)) : ℂ := inner ℂ τ.vector ((T : H →L[ℂ] H) τ.vector) | |
| def norm₂ (T : Algebra (M := M)) : ℝ := ‖(T : H →L[ℂ] H) τ.vector‖ | |
| @[simp] theorem trace_one : τ.trace 1 = 1 := by | |
| simp [trace, inner_self_eq_norm_sq_to_K, τ.norm_vector] | |
| theorem trace_mul_comm (S T : Algebra (M := M)) : τ.trace (S*T) = τ.trace (T*S) := | |
| τ.cyclic S T | |
| theorem trace_star_mul (T : Algebra (M := M)) : | |
| τ.trace (star T*T) = (τ.norm₂ T : ℂ)^2 := by | |
| unfold trace norm₂ | |
| change inner ℂ τ.vector ((star (T : H →L[ℂ] H)) ((T : H →L[ℂ] H) τ.vector)) = _ | |
| rw [ContinuousLinearMap.star_eq_adjoint, ContinuousLinearMap.adjoint_inner_right, inner_self_eq_norm_sq_to_K] | |
| norm_cast | |
| theorem norm₂_star (T : Algebra (M := M)) : τ.norm₂ (star T) = τ.norm₂ T := by | |
| have h := τ.trace_mul_comm (star T) T | |
| have h2 := τ.trace_star_mul (star T) | |
| simp only [star_star] at h2 | |
| rw [τ.trace_star_mul, h2] at h | |
| have hr := congrArg Complex.re h | |
| simp only [← Complex.ofReal_pow, Complex.ofReal_re] at hr | |
| have hn : 0 ≤ τ.norm₂ T := norm_nonneg _ | |
| have hs : 0 ≤ τ.norm₂ (star T) := norm_nonneg _ | |
| nlinarith | |
| @[simp] theorem norm₂_zero : τ.norm₂ 0 = 0 := by simp [norm₂] | |
| @[simp] theorem norm₂_sub (S T : Algebra (M := M)) : | |
| τ.norm₂ (S-T) = ‖(S : H →L[ℂ] H) τ.vector - (T : H →L[ℂ] H) τ.vector‖ := rfl | |
| theorem norm₂_add_le (S T : Algebra (M := M)) : τ.norm₂ (S+T) ≤ τ.norm₂ S+τ.norm₂ T := | |
| norm_add_le _ _ | |
| theorem norm₂_smul (c : ℂ) (T : Algebra (M := M)) : τ.norm₂ (c • T) = ‖c‖*τ.norm₂ T := | |
| norm_smul _ _ | |
| theorem norm₂_mul_le (S T : Algebra (M := M)) : τ.norm₂ (S*T) ≤ ‖S‖ * τ.norm₂ T := | |
| (S : H →L[ℂ] H).le_opNorm ((T : H →L[ℂ] H) τ.vector) | |
| theorem norm₂_mul_le_right (S T : Algebra (M := M)) : τ.norm₂ (S*T) ≤ τ.norm₂ S * ‖T‖ := by | |
| rw [← τ.norm₂_star (S*T), star_mul] | |
| have h := τ.norm₂_mul_le (star T) (star S) | |
| simpa [τ.norm₂_star, mul_comm, ContinuousLinearMap.star_eq_adjoint] using h | |
| theorem norm₂_le_norm (T : Algebra (M := M)) : τ.norm₂ T ≤ ‖T‖ := by | |
| have h := (T : H →L[ℂ] H).le_opNorm τ.vector | |
| simpa [norm₂, τ.norm_vector] using h | |
| theorem norm_trace_le_norm₂ (T : Algebra (M := M)) : ‖τ.trace T‖ ≤ τ.norm₂ T := by | |
| simpa [trace, norm₂, τ.norm_vector] using norm_inner_le_norm τ.vector ((T : H →L[ℂ] H) τ.vector) | |
| theorem norm₂_eq_zero_iff (T : Algebra (M := M)) : τ.norm₂ T = 0 ↔ T = 0 := by | |
| constructor | |
| · intro h | |
| exact τ.separating T (norm_eq_zero.mp h) | |
| · rintro rfl | |
| exact τ.norm₂_zero | |
| end TracialRepresentation | |
| end FiniteFactor | |
| end | |
| end OAI | |