The Donkey on the Edge Vol. II · The Paper · Result I May MMXXVI
The Donkey on the Edge
Result the First

The Entropy-Replacement Theorem

The hard, fully-quantum disagreement between two observers reduces, at leading order with a controlled mean-square error, to the classical Shannon disagreement of the bulk-marginal diagonals. The result that makes everything downstream rigorous rather than model-dependent. It is what Paper II was missing.

Theorem 1HeadlineUnconditional (Haar)

The Entropy-Replacement Theorem

The headline of Paper III. For Haar-random bulk states, the difference between the two observers’ von Neumann entropies and the Shannon entropy difference of their bulk-marginal diagonals is provably small in mean square – one power of dd below the signal variance.

[S(ρRA)S(ρRB)]    [H(PA)H(PB)]  =  OL2 ⁣(d2dM1).\big[S(\rho_{R_A}) - S(\rho_{R_B})\big] \;-\; \big[H(P_A) - H(P_B)\big] \;=\; O_{L^2}\!\big(d^{-2}\,d_M^{-1}\big).

Why this is the headline. Paper II established that the averaged observer state collapses to the diagonal of the bulk marginal. It did not establish that the entropy – a non-linear functional – is therefore governed by the diagonal. The entropy-replacement theorem is the missing step. It is what Paper II was missing.

Shape of the proof. Expand the true entropy around the bulk-marginal diagonal. The error splits into two pieces: an off-diagonal part FoffF_{\rm off} (coming from coherences thrown away by the diagonal model) and a diagonal-to-bulk part FdiagF_{\rm diag} (the difference between the actual reduced diagonal and the bulk-marginal diagonal we replace it with). Both must be O(d4dM2)O(d^{-4}\,d_M^{-2}) – one power of dd below the signal variance Θ(d3dM2)\Theta(d^{-3}\,d_M^{-2}).

  • FoffF_{\rm off} is closed by a resolvent representation, a linear bound, and a fourth-moment estimate (Appendix C.1–C.5).
  • FdiagF_{\rm diag} is closed by a centered-operator identity that routes it through the same base moment as FoffF_{\rm off} (Appendix C.6). No numerical constant survives inside the proof.

The full Haar-class proof is unconditional. The product-class version is conditional on a parallel replacement principle in a regime where probabilities are concentrated; that conditional is named in plain sight on Result III.

See also