The Donkey on the Edge
Vol. IThe EvolutionFigure III · Paper II

This is Paper II, the intermediate draft. It corrected the foundation of Paper I but had not yet proved the entropy-replacement theorem that makes the laws rigorous. For that, see Paper III.

PAPER II OF THE DONKEY-ON-THE-EDGE PROGRAMME

PAPER II

In which the foundation of Paper I is found to be stated too loosely, and corrected: the averaged observer state is not the bulk marginal but the diagonal of it.

Complexity-Sensitive
Complementarity in
Non-Isometric
Holographic Codes
(revised)

ABSTRACT

We investigate the two-observer disagreement $\mathbb{E}|S_A - S_B|$ in AEHPV non-isometric holographic codes with observers included via the HUZ cloning rule. The central result is a structural identity, here stated in its corrected form: at leading order in $1/d_{\rm eff}$, the Haar-$V$-averaged observer-reduced state equals the diagonal of the bulk $A$-marginal in the observer's cloning basis, $\mathbb{E}_V[\rho_{R_A}] = \operatorname{diag}(\rho_A^{\rm bulk}) + O(1/d^2)$. Bulk-marginal coherences across distinct pointer values are projected out by the combination of HUZ cloning and Haar-$V$ averaging. This reduces the disagreement problem to a moment calculation of the bulk-marginal diagonal, whose scaling with $d_B$ depends on the bulk state class. For random product states we obtain $\mathbb{E}|S_A - S_B| \to \sqrt{4(\pi^2/3-3)/\pi}\,d_B^{-1/2} \approx 0.608\,d_B^{-1/2}$; for Haar-random states, $\sqrt{2/\pi}\,/(d_M\, d_B^{3/2})$. The exponent gap is exactly $1$. We verify the identity and both scalings against full simulation, including out-of-sample tests at sub-$\sigma$ precision.

A PLAIN-LANGUAGE SUMMARY

Paper I had a small but real crack in its foundation. It said that, on average, what an observer sees equals the "marginal" of the bulk state – the full reduced description. Paper II shows that is not quite right: what the observer sees on average equals only the diagonal of that marginal – the bar chart of probabilities, with the off-diagonal "interference" entries erased. And the erasing is not an approximation we impose; it falls out of the physics, from the way the observer is cloned plus the randomness of the code. Fixing this made the rest of the machinery exact instead of approximate, and made plain exactly which object the scaling laws describe. What Paper II did not yet do was prove that this diagonal object actually controls the true quantum disagreement – that step is Paper III.

THE FOUR RESULTS

Featured-mold cards. Equation, plain gloss, section pointer + evidence.

I.
THE STRUCTURAL IDENTITY, CORRECTED · THE FOUNDATION

The averaged observer state is the diagonal of the bulk marginal.

$$\mathbb{E}_V[\rho_{R_A}] = \operatorname{diag}\!\big(\rho_A^{\mathrm{bulk}}\big) + O(1/d^2)$$

The averaged observer state equals the diagonal of the bulk marginal, not the marginal. Off-diagonal coherences across pointer values collapse at first moment, by the combination of HUZ cloning and Haar averaging – not by hand.

§3 · CORRECTION OVER PAPER I · 18 DIAGONAL ENTRIES VERIFIED
II.
PRODUCT-CLASS SCALING

Slow decay for low-entanglement states.

$$\mathbb{E}|S_A - S_B| \to \sqrt{\tfrac{4(\pi^2/3-3)}{\pi}}\,d_B^{-1/2} \approx 0.608\,d_B^{-1/2}$$

Slow decay for low-entanglement states. Analytic prefactor; matches simulation.

§4 · EXPONENT EXACT · PREFACTOR EXACT
III.
HAAR-CLASS SCALING

Fast decay for maximally scrambled states.

$$\mathbb{E}|S_A - S_B| \to \sqrt{\tfrac{2}{\pi}}\,\frac{1}{d_M\,d_B^{3/2}} \approx \tfrac{0.798}{d_M}\,d_B^{-3/2}$$

Fast decay for maximally scrambled states. The black-hole-interior regime.

§5 · EXPONENT EXACT · PREFACTOR EXACT
IV.
THE INTEGER EXPONENT GAP

One power of $d_B$ between the classes.

$$\alpha_P - \alpha_H = \big(-\tfrac12\big) - \big(-\tfrac32\big) = 1 \quad\text{exactly.}$$

One whole power of $d_B$ between the classes. Stable across deformations.

§6 · OPEN PROBLEM

METHODS, IN BRIEF

I · FRAMEWORK

AEHPV code with Haar $V$; HUZ observer cloning.

II · IDENTITY

First-moment Haar integration shows the off-diagonal collapse and yields the corrected diagonal identity.

III · SPECIALISATION

Each class reduces to a moment of the bulk-marginal diagonal – Dirichlet for product, Gaussian-limit for Haar.

IV · VERIFICATION

Full-simulation checks at the diagonal-entry level, the variance asymptote, the prefactor convergence, and end-to-end, with out-of-sample tests.

WHAT PAPER II HANDED TO PAPER III

A correct foundation and a sharp, unanswered question: does the diagonal model govern the true observer entropy? Paper III answers it with the entropy-replacement theorem.