cft-cmi

Module 4 — Is the compression optimal?

The zero-collar compression beats the ordinary Petz map by exactly a factor four, and no quasi-free channel found anywhere beats it. That is not the same as being optimal. A first-order rotation inside B lowers the error by a measured factor 1 − θ, and this module shows where that number comes from, what is proved about it and what is only measured.

proved The compression beats the Petz map by a factor four

Per chirality the zero-collar compression gives Φ(z) = f₂z² + O(z³) against the ordinary Petz map's Φ(2z) = 4f₂z² + O(z³); for a 2D CFT, 2f₂z² against 8f₂z². The reason is structural: inside the rotated family the range constraint β(A(BC)) ⊆ A(B) is active exactly at the compression endpoint, and for a single chirality the family is monotone, so the ordinary Petz map is its worst admissible member.

Where this comes from: claim page · rigor/optimality_second_order.tex · fidelity_recovered_quasifree.tex

proved Why a convex programme decides this at all

Gauge-invariant quasi-free channels have data (X, Y), completely positive iff Y ≥ 0 and XX* + Y ≤ 1. In the variables (X, Z = X QBB X* + Y) the feasible set is convex and semidefinite representable, the recovered symbol is affine in it and the SLD form gQ is a convex quadratic, so every local minimum is global. Two further theorems close the gap to all channels: every normal unital CP even map β: A(BC) → A(B) has a feasible symbol, and by a Sion minimax the dual value equals the quasi-free minimum — so the relaxation is tight, not merely an upper bound. The lower-bound side is an Alberti–Uhlmann single-observable bound; the upper-bound side is an exact Uhlmann construction whose exterior directions are invisible because cl(Ext) = N⊥.

Where this comes from: the SDP · every channel is feasible · all channels = quasi-free · the lower bound · the upper half · the exterior is invisible · why the A–C route gives nothing

proved The certificate, and the one thing it needs

In the continuum the two linear matrix inequalities are active, the multipliers are unique, and the compression maximises Tr(t Qrec) over the feasible set iff Σ₁ = Σ₁* ≥ 0 and Σ₁ + tDD ≥ 0 — necessary and sufficient, with no constraint qualification. Reducing it, the certificate at the compression exists precisely when ED u ED = 0. The measurement below says that quantity is not zero, so no certificate for f₂z² exists.

Where this comes from: claim page · rigor/sdp_dual_certificate.tex

numerical conditional on H1, H2, H3 The all-channel optimum: (1−θ) f₂z²

That the isometric orbit carries the whole tangent optimum — that noise and isometry loss buy nothing — is not a theorem here. It rests on three hypotheses. (H1) and (H2) are the parametrisation and derivative conditions of the tangent problem; (H3) is the model-cone hypothesis, that the whole cone of admissible isometry generators reduces to two boundary directions. That reduction is proved for vector fields only: multiplicity > 1 shift semigroups and unbounded skew-adjoint multiplication operators escape the argument. Within those hypotheses the numerics exclude any O(1) gain from non-isometric directions — every measured gain falls like h1.85/Ymax², and the four values are in the last panel of this page — but they do not establish that the optimal noise vanishes, and the marginal case found here is exactly where uniqueness is not delivered.

Read the badge only with its hypotheses. Everything above the dividing line on this page is proved outright. This card, and the criterion numerics below, are measurements under H1, H2 and H3; and at every finite discretisation the run itself prints CRITERION: False. What the numerics establish is that the violation scales to zero in the double limit, with clean power laws — an extrapolation, not a verified sign.

Where this comes from: claim page · the exact parametrisation · the sign criterion · the criterion numerics · rigor/exact_optimum_tangent_problem.tex · numerics/optimality_all/F2_RESULTS.md

Theta against mesh width plotted on an h to the 0.77 axis, the Richardson line extrapolating to 0.384 plus or minus 0.003, and the superseded circle-model value 0.300 beside it.
The convergence ladder for θ, and the superseded circle-model value. With JavaScript enabled the ladder animates, the toggle below compares the Petz map, the rotated family, the compression and the optimum, and every number names the file and line it came from. Why the circle model reads low is module 5.

Four channels, one axis

The vertical axis is the second-order coefficient in units of f₂z², per chirality. The rotated family runs from the ordinary Petz map at λ = 0 down to the compression as λ → ∞; the optimum sits below the family, because it is not in it.

the optimum is measured, the other three are closed forms
or drag the handle on the curve

Where θ comes from: the mesh ladder

The horizontal axis is h0.77, the measured convergence order, so the extrapolation is a straight line and h = 0 is the left-hand edge. Two independent discretisations are drawn: the parameter-free T0 Wiener–Hopf frame and the modular Galerkin frame at a different geometry. They agree, which is what Möbius covariance requires.

rung of the T0 ladder; the last stop is the extrapolation
the slider does the same thing from the keyboard

The five families, and the number they close on

Each row is an independent ladder extrapolated by Richardson with its own measured ratio ρ. The spread over the families and fit windows below is where the quoted uncertainty comes from.

The criterion that is extrapolated, not verified

Condition (a) of the tangent problem asks for M* ≥ 0. At every finite mesh it fails. What is measured is that the violation and the gain a violating direction could buy both go to zero, with clean power laws — about h1.15 and h1.85. Both axes are logarithmic.

Claims this module carries

claimstatus
the compression beats the Petz map by fourproved
the quasi-free problem is a convex SDPproved
every channel's symbol is feasibleproved
all channels equal quasi-freeproved
the single-observable lower boundproved
the Uhlmann upper halfproved
the exterior directions are invisibleproved
the KKT certificate and EDuEDproved
the A–C lower bound is zeroproved
the exact tangent parametrisationproved conditional on H1, H2
the noise sign criterionproved conditional on H1, H2, H3
θ = 0.384 ± 0.003numerical
the compression is not the second-order minimisernumerical
the criterion numericsnumerical conditional on H3
the all-channel optimum (1−θ) f₂z²numerical conditional on H1, H2, H3