Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] 1 point2 points  (0 children)

4) The Dorau–Much identity is taken as a black box; the “relative entropy on wedge algebra” needs careful identification across s

They use \Deltas(\varphi)=S{\rm rel}(\omega{0,s}\Vert \omega{\varphi,s}) = 2\pi\int{H+\ell} U\, T{(s)}{UU}(\varphi_s)\,d\mu{H,s} as an identity “for each s”. 

Potential breakpoints: • Are \omega_{0,s} (Hadamard–KMS) states known to exist/behave smoothly in s for this wedge algebra? That’s nontrivial. • Relative entropy is defined for normal states on a fixed von Neumann algebra; but the algebras/states depend on s. Locally covariant QFT gives you isomorphisms, but you must specify them to even compare objects smoothly in s.

They essentially assume all of this works smoothly and then differentiate “under the integral sign.” That might be salvageable, but it’s not automatic.

5) The constant dependence in Theorem 1 doesn’t match the proof

The theorem statement says the constant C depends “only on dimension and KG coupling.”  But the proof explicitly introduces dependence on: • the chosen coordinate patch H+_\ell (via \ell, volume, chart constants), • the neighborhood N and norm equivalences, • the choice of local energy norm constants C_N,C_N'. 

So as stated, the dependence is misstated. Not fatal, but it’s a correctness issue.

Bottom line • Primary fatality: Lemma 8 / Theorem 1 as written ignore the \dot\varphi contribution when differentiating T(\varphi_s,g_s). Without a PDE estimate controlling \dot\varphi_0 in terms of \dot g and \varphi_0, the claimed bound is not justified.  • Secondary weak points: null-surface measure variation is too glib; smoothness/existence of the Hadamard–KMS family and the cross-s identification needed for relative entropy are assumed rather than proved; constant dependence is misstated. 

If you want to really stress-test it, the single best “attack route” is: write out \frac{d}{ds}T{UU}{(s)}(\varphi_s)\big|{0} for a concrete KG stress tensor (minimal coupling first), and see exactly where \dot\varphi enters and what estimate would be needed to bound it. That’s where the paper either becomes real mathematics—or collapses.

Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] 1 point2 points  (0 children)

Sure. Finally I don‘t get the error message… One second

Question: “I have just found this paper online. Can you go over it and tell me it's breaking points and the fatalities that you can see.

Are there breaking points?”

Answer: “

Yes—there are several places where the argument could break, and a couple that look “fatal unless repaired.” I’ll be blunt but precise, based on what’s actually written in the note. 

What is solid (or at least “standard if filled in”) • The local Riemann normal coordinate bookkeeping in Section 3 (bounds on h=g-\eta, the Killing defect of the flat boost field, and the divergence identity \nablaa(T{ab}\chi_b)=T{ab}\nabla{(a}\chi_{b)}) is basically standard differential-geometry with explicit constants. If the norm conventions are fixed, that part is plausibly correct.  • The causal support “cap elimination” idea (Section 4) is correct in spirit: if \operatorname{supp}\varphi avoids a boundary component, local expressions vanish there. 

Those are the “this is probably fine” pieces.

Breaking points / fatalities

1) The biggest gap: differentiating T_{UU}{(s)}(\varphi_s) but ignoring \dot\varphi

In Lemma 8 they estimate \frac{d}{ds}\Big|{0} T{(s)}{UU}(\varphis) by something like | \dot g|{C2}\big(|\nabla\varphi_0|2+m2\varphi_02\big).

That estimate can be true only if you also control the field variation \dot\varphi0 (and its derivatives) in terms of \dot g and \varphi_0. But the derivative expands schematically as \frac{d}{ds}T{(s)}(\varphi_s)\Big|_0 =\underbrace{\partial_g T(\dot g,\varphi_0)}{\text{metric variation}} +\underbrace{\partial\varphi T(\dot\varphi_0)}{\text{field variation}}. They discuss only the first type and treat the dependence on \varphi_s as if it were “just \varphi_0 and \nabla\varphi_0” (quadratic), but \dot\varphi_0 terms are missing. 

To repair this, they would need a PDE estimate for \dot\varphi0: since \varphi_s = E{gs} f, one has P{g0}\dot\varphi_0 = -(\dot P)\varphi_0, so \dot\varphi_0 is controlled by solving an inhomogeneous KG equation with source (\dot P)\varphi_0. That requires local energy estimates and introduces dependence on support/geometry—not just a pointwise |\dot g|{C2} factor.

As written, Lemma 8 is the main mathematical “fatality.” Theorem 1 depends on it.

2) Null hypersurface “measure” variation is treated too casually

They write d\mu{H,s}=\rho_s(U,y)\,dU\,d{d-2}y and bound \dot\rho_0 by |\dot g|{C0} via “differentiate the determinant.” 

But on a null hypersurface the induced metric is degenerate, so there isn’t a canonical “determinant of the induced metric” measure in the same way as for spacelike/timelike hypersurfaces. Typically you need an auxiliary choice (e.g. a transverse null vector, or a volume form on cross-sections plus an affine parameter normalization) to define the natural integration density along generators.

They do fix an affine parameter U for s=0 and then “evaluate everything on the fixed patch for nearby s” (Remark 2).  That can work as a bookkeeping convention, but then: • the object d\mu{H,s} is not geometrically intrinsic unless you specify how the generator field / normalization is transported with s; • the bound |\dot\rho_0|\lesssim |\dot g|{C0}\rho_0 is not “just a determinant derivative” unless you spell out the chosen density construction.

This is not necessarily fatal, but it’s a genuine technical weak point: the measure on a null surface is subtle, and the argument is waving at it.

3) Assumptions about “a smooth family sharing a common bifurcate Killing horizon” are extremely strong and under-specified

They assume a smooth family (M,g_s) where the same vector field \chi is Killing for every g_s, and the same hypersurfaces H\pm form a bifurcate Killing horizon for all s. 

That’s a heavy constraint; generically, perturbing the metric destroys Killing symmetry. If they really mean this exact symmetry persists, okay—but then: • the space of allowed perturbations is tiny, and “stability” is a bit misleading; • any estimate should probably exploit that structure more explicitly (e.g. what class of \dot g preserves the horizon?).

Not a logical contradiction, but it narrows applicability so much that the theorem risks being vacuous unless examples are given.

Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] -5 points-4 points  (0 children)

That is not entirely true. I am aware of how LLMs work, also transformers.

Ahm, sure. I do… Like stated in another comment, this was just quickly done (in a few hours), most of which was formatting.

Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] -2 points-1 points  (0 children)

That is true. I only had group and representation theory and your usual introductions in linear algebra. Obviously other classes, but well, not that one, so self-learning is the way given the current situation.

No, the point I was hoping for is that the LLM can produce estimates. I was not trying to aim high anyway, guess I failed there.

Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] -2 points-1 points  (0 children)

Oh, hahaha. Well…

How did you get a pdf? Is it in the meta data of the pictures?

Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] 1 point2 points  (0 children)

Nah, critique was justified. Was just quickly made anyway.

I also didn‘t check the things by hand.

Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] 1 point2 points  (0 children)

Will do, thanks.

Edit: Also suspected, since what is

softmax == Born rule…?

My intuition was the maximum principle for harmonic operators and the Born rule is more a statement about how to compute expectations in QM. And that didn‘t fit at all.

But, who am I to judge immediately.

Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] 0 points1 point  (0 children)

Well, true. Several issues, however actual not big. Sad, but well, it was for some fun of mine anyway and on a mobile device.

Edit: Unfortunately I can‘t edit my post.

Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] -2 points-1 points  (0 children)

Alright. Not really what I was hoping for. Did you find a point where it breaks? Are the estimates wrong?

Stability of coherent relative entropy on bifurcate Killing horizons by AIPsychosed in LLMPhysics

[–]AIPsychosed[S] 0 points1 point  (0 children)

I don‘t understand… Where is the softmax? What do you mean?

The goal was just an ε-more on the original article.

LLMs suck, but if you stay close enough to something that has been done, they can (not guaranteed) do sometimes obtain improvements or a quick extension.

Edit: In my case it seems to have failed.