bibkey: shirokov2026moreauyosidaeof authors: M. E. Shirokov year: 2026 title: “The Moreau-Yosida approximation of the EoF: basic properties and accuracy estimates” doi: null url: https://arxiv.org/abs/2609.30246v1 claim: “we may conjecture, at the moment, that the function E_F^lambda does not increase under selective LOCC-operations” strata_touched:
- D5/S3/Quantum/Entanglement/MoreauYosidaFormationSelectiveLoccRefutation license: citation-only triage: anchor
The Moreau-Yosida approximation of the EoF
M. E. Shirokov, arXiv:2609.30246v1, Section 7, p. 20.
Verified locator
https://arxiv.org/abs/2609.30246v1
Statement
The finite-dimensional entanglement of formation is defined in (EF-d), equation (1), p. 2, by
where the infimum is taken over all finite ensembles of pure states in having as their average state
The entropy uses the natural logarithm. Equation (EFA), equation (13), p. 6, defines, for ,
The source footnote on p. 7 specifies:
It is essential that we use instead of
Section 7 asks:
Open question: can the function increase under selective LOCC-operations?
The conjectural sentence is:
It is proved in Section 3 (Corollary 1) that the function does not increase under nonselective LOCC-operations for every . Unfortunately, the (quite simple) arguments used to prove this property are not generalized to selective LOCC-operations. At the same time, all the attempts of ChatGPT-5.6 to find a counterexample were unsuccessful. So, we may conjecture, at the moment, that the function does not increase under selective LOCC-operations as well.
The formal claim uses the standard selective inequality: the probability-weighted sum of the normalized branch values is at most the input value. It quantifies over finite dimensions and finite-round local Kraus instruments, with several Kraus operators allowed per classical outcome and the full classical outcome history retained. The one-round two-outcome Alice projective measurement is a member of this class, and also a member of the larger LOCC classes used in the source.
The formal refutation gives an input on and
with input value at most and output average at least .
It uses the full finite pure-state convex roof and the unsquared trace norm.
The pure-state cost is literally the von Neumann entropy of Alice’s reduced
density state, with the frozen rank-one density-state constructor and partial
trace. Both formation functions take values in via
ENNReal.ofReal of their nonnegative real expressions for .