Plain-language statement
The SupRegularized value is also lower bounded.
Exact Lean statement
theorem lb : _lb ≤ SupRegularized fn hl hu
Formal artifact
Lean source
theorem lb : _lb ≤ SupRegularized fn hl hu := by -- Suppose, for contradiction, that $\mathrm{InfRegularized} \; fn < \mathrm{SupRegularized} \; fn$. by_contra h_contra; -- By definition of `SupRegularized`, we have that $\mathrm{SupRegularized} \; fn \geq \mathrm{InfRegularized} \; fn$. have h_sup_ge_inf : SupRegularized fn hl hu ≥ InfRegularized fn hl hu := by apply_rules [ Filter.liminf_le_limsup ]; · exact ⟨ _ub, Filter.eventually_atTop.2 ⟨ 0, fun n hn => hu n ⟩ ⟩; · exact ⟨ _, Filter.eventually_atTop.2 ⟨ 0, fun n hn => hl n ⟩ ⟩; exact h_contra ( le_trans ( by exact InfRegularized.lb ) h_sup_ge_inf )- Project
- quantumInfo
- License
- MIT
- Commit
- 56e83a9288a3
- Source
- QuantumInfo/Regularized.lean:74-82
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Conj Transpose isometry mul isometry le one
conjTranspose_isometry_mul_isometry_le_one
Project documentation
The operator norm of the conjugate transpose is equal to the operator norm. -/ theorem Matrix.opNorm_conjTranspose_eq_opNorm {m n : Type*} [Fintype m] [Fintype n] [DecidableEq m] [DecidableEq n] (A : Matrix m n 𝕜) : Matrix.opNorm Aᴴ = Matrix.opNorm A := by unfold Matrix.opNorm rw [← ContinuousLinearMap.adjoint.norm_map (toEuclideanLin A).toContinuousLine...
Source project: quantumInfo
Person-level attribution pending.
Convex roof of pure
convex_roof_of_pure
Plain-language statement
The convex roof extension of g : KetUpToPhase d → ℝ≥0 applied to a pure state ψ is g (KetUpToPhase.mk ψ).
Source project: quantumInfo
Person-level attribution pending.
Id achieves Rate log dim
CPTPMap.id_achievesRate_log_dim
Plain-language statement
The identity channel on D dimensional space achieves a rate of log2(D).
Source project: quantumInfo
Person-level attribution pending.