Unbounded Renyi entropy increase below one half
OpenQAlgorithms.Papers.Independent.Intakethird100.P19.renyi_unboundedIncreaseAll Hilbert spaces are finite-dimensional complex spaces with fixed product bases and positive local dimensions. States are positive semidefinite operators of trace one; pure kets have norm one. A non-entangling map is completely positive and preserves the full separable positive cone. A channel is also trace preserving. For each and each real , there are finite bipartite pure states and a non-entangling channel such that
All entropies are in bits; the dimensions may depend on and .
This states the introductory claim in its stronger unbounded form.
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P19
noncomputable section
open QAlgorithms QAlgorithms.Entanglement Filter
open scoped Matrix ComplexOrder ComplexConjugate ENNReal
attribute [local instance] Classical.propDecidable Classical.decEq
namespace QAlgorithms.Papers.Independent.Intakethird100.P19
open QAlgorithms.Papers.Independent.Information100.P21 (Op FiniteLOCC)
open QAlgorithms.Papers.Independent.Information100.P19 (Bip)
open QAlgorithms.Papers.Independent.Information100.P69 (CP)
open QAlgorithms.Papers.Independent.Information100.P71 (supportPower SupportIncluded)
open QAlgorithms.Papers.Independent.Dependency50.P19 (epr)
/-- PDF p.3, strengthened introductory claim: arbitrarily large entropy
increases below one half. Dimensions may depend on alpha and the desired increase. -/
theorem renyi_unboundedIncrease (alpha : ℝ) (h0 : 0 ≤ alpha) (hhalf : alpha < 1 / 2)
(M : ℝ) (hM : 0 < M) :
∃ a b c d : ℕ, 0 < a ∧ 0 < b ∧ 0 < c ∧ 0 < d ∧
∃ psi : UnitBipartiteKet a b, ∃ phi : UnitBipartiteKet c d,
∃ L : Superop (Fin a × Fin b) (Fin c × Fin d),
IsChannel L ∧ NE L ∧ L psi.rho = phi.rho ∧
M < schmidtRenyi (ENNReal.ofReal alpha) phi.ket - schmidtRenyi (ENNReal.ofReal alpha) psi.ket := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P19
end
Read-back
What the Lean code literally says, in plain math · gpt-6.1-sol
For every real and every real , there exist positive natural numbers , unit vectors and , and a channel between their matrix spaces such that preserves separable positive operators and
Here a channel has a finite Kraus representation with , and preservation of separable positive operators means preservation of finite nonnegative weighted sums of tensor products of positive semidefinite trace- matrices, including the empty sum. For a unit vector , let , , be the eigenvalues of its first marginal , listed in decreasing order and retaining zeros, and define
Thus order zero is included and uses the number of strictly positive marginal eigenvalues.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.