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Markov length can diverge in systems whose universal physics is spatially Markovian

Statistical Mechanics · Submitted 8 Oct 2026 · 62 references

Pith's verdict: An interesting paper that identifies cutoff-suppressed power-law CMI from irrelevant perturbations, but the central scaling argument rests on an unproven UV-finiteness assumption that the authors honestly flag.

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arXiv ID2610.11235 (version 1)
Pith IDIBEWWVJY, Pith's permanent record of this paper and its review
CitationTarun Grover, Yu-Hsueh Chen. "Markov length can diverge in systems whose universal physics is spatially Markovian." arXiv:2610.11235 (2026). https://pith.science/paper/IBEWWVJY
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Referee report
The paper

The paper claims

Markov length can diverge in systems whose universal physics remains Markovian.

The reading

The paper shows that conditional mutual information (CMI) in critical Gibbs states of local Hamiltonians, when perturbed by an RG-irrelevant term that breaks detailed balance, acquires algebraic power-law tails. These tails cause the Markov length to become infinite at any fixed lattice cutoff, yet they are cutoff-suppressed: their amplitude vanishes as a positive power of the lattice spacing in the continuum limit, so the universal physics remains Markovian. This exposes a tension between standard RG universality—where states flowing to the same fixed point are considered equivalent—and mixed-state phase classification based on local reversibility, which treats any power-law CMI as an obstruction. The authors derive a general result for one-dimensional systems linking the CMI decay exponent to Markovianity, and they construct solvable Gaussian models and analyze the long-range Ising model to illustrate both cutoff-suppressed and genuine power-law CMI.

What carries the argument

The perturbative expansion of CMI around a Markov distribution, combined with the McLennan–Zubarev first-order expression for the steady state of Langevin dynamics with a detailed-balance-breaking perturbation. This yields Eq. (3): I(A:C|B) = (ε²/2) ∫₀^∞ dt ∫₀^∞ dt′ ⟨($e^{{tL^{(0)}}$}Σ)^× ($e^{{t′L^{(0)}}$}Σ)^×⟩₀, where $L^{{(0)}}$ is the backward generator of the equilibrium dynamics and Σ is the source generated by the perturbation. The irrelevant RG eigenvalue ω enters the scaling form CMI ∼ (ξ_cross/l_B)^{2|ω|} Φ(l_B/l). In one dimension, translational invariance gives I(A:C|B) ≃ (l/l_B)² g(l_B/a), with g(x)→0 if and only if the fixed point is Markovian.

Extended reading notes

Core claim

A generic irrelevant perturbation that breaks detailed balance on a critical local Gibbs state induces algebraically decaying conditional mutual information (CMI). The amplitude of this algebraic tail scales as a positive power of the lattice cutoff, so the CMI vanishes in the continuum scaling limit even though the Markov length is infinite at any finite cutoff. This cutoff-suppressed power-law CMI is distinct from genuine power-law CMI that survives the continuum limit and signals a genuinely non-Markovian fixed point. The distinction is essential for classifying mixed-state phases: cutoff-suppressed CMI obstructs local reversibility at any finite lattice spacing but disappears when the cutoff is removed, whereas genuine power-law CMI remains an obstruction even in the continuum.

Load-bearing premise

The scaling argument and the conclusion that the power-law tail vanishes in the continuum limit assume that the conditional mutual information is UV-finite (lim_{a→0} CMI < ∞); this is stated as an assumption and has not been proven for all considered systems.

Editorial extensions

If this is right

  • States flowing to the same RG fixed point can have qualitatively different Markov lengths, challenging the conventional RG notion of universality for mixed states.
  • Mixed-state phase classification based on local reversibility must distinguish cutoff-suppressed power-law CMI from continuum-surviving power-law CMI, since only the latter forbids a locally reversible path to a state with finite Markov length in the continuum.
  • The Ising-symmetric critical point of Toom's cellular automaton is predicted to exhibit cutoff-suppressed power-law CMI, providing a concrete test case for numerics.
  • In one dimension, the condition that CMI decays faster than 1/l_B² is equivalent to Markovian long-distance physics, giving a sharp diagnostic for spatial Markovianity.
  • The long-range Ising model offers a tunable example where the crossover from genuine to cutoff-suppressed CMI can be studied analytically and numerically.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The cutoff-suppressed CMI phenomenon may be generic in any critical system where an irrelevant operator breaks a symmetry (here, detailed balance). Similar behavior should occur in quantum systems under weak decoherence that breaks time-reversal symmetry.
  • The one-dimensional result provides a simple experimental or numerical test: if CMI in a translation-invariant state decays slower than l_B^{-2}, the fixed point is genuinely non-Markovian.
  • The paper suggests that mixed-state phase classification may need to incorporate 'dangerously irrelevant' parameters for CMI, analogous to dangerously irrelevant variables in equilibrium critical phenomena.
  • The distinction also implies that the Markov length alone is insufficient to characterize the phase; one must also determine whether the power-law tail survives the continuum limit.
Original abstract

Conditional mutual information (CMI) probes spatial non-Markovianity and plays a central role in a recently developed framework for defining mixed-state phases based on local reversibility. This framework sharply distinguishes exponentially decaying from algebraically decaying CMI, since the latter obstructs equivalence to a state with finite Markov length. Here we show that states that flow to the same renormalization-group (RG) fixed point can nevertheless exhibit qualitatively different CMI. Starting from a critical Gibbs state of a finite-range local classical Hamiltonian, whose CMI vanishes beyond the interaction range, we show that an RG-irrelevant perturbation that breaks detailed balance generically generates algebraically decaying CMI. Crucially, these power-law tails are cutoff-suppressed: although they lead to an infinite Markov length at every fixed lattice cutoff, they vanish as a positive power of the cutoff in the continuum limit. We construct solvable models that exhibit this phenomenon and predict that the Ising-symmetric critical point of Toom's cellular automata generically exhibits such behavior. We also find analogous cutoff-suppressed CMI in the high-temperature paramagnetic phase of the long-range Ising paramagnet, in contrast with the genuine power-law CMI at the finite-temperature critical point in this same model that survives the continuum limit. We also derive a general result that in one spatial dimension, CMI decays faster than the inverse square of the buffer length if and only if the long-distance physics is Markovian.

The compiled record

The paper's own sentences, arranged, kept beside the review and separate from it. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-10-09: 1 request, 6,556 input tokens.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.48 · human participants 0.01 · controlled comparison 0.17 · randomized assignment 0.01 · states quantitative result 0.71 · compares with prior results 0.68 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Conditional mutual information (CMI) probes spatial non-Markovianity and plays a central role in a recently developed framework for defining mixed-state phases based on local reversibility. This framework sharply distinguishes exponentially decaying from algebraically decaying CMI, since the latter obstructs equivalence to a state with finite Markov length. Here we show that states that flow to the same renormalization-group (RG) fixed point can nevertheless exhibit qualitatively different CMI. Starting from a critical Gibbs state of a finite-range local classical Hamiltonian, whose CMI vanishes beyond the interaction range, we show that an RG-irrelevant perturbation that breaks detailed balance generically generates algebraically decaying CMI. Crucially, these power-law tails are cutoff-suppressed: although they lead to an infinite Markov length at every fixed lattice cutoff, they vanish as a positive power of the cutoff in the continuum limit. We construct solvable models that exhibit this phenomenon and predict that the Ising-symmetric critical point of Toom's cellular automata generically exhibits such behavior. We also find analogous cutoff-suppressed CMI in the high-temperature paramagnetic phase of the long-range Ising paramagnet, in contrast with the genuine power-law CMI at the finite-temperature critical point in this same model that survives the continuum limit. We also derive a general result that in one spatial dimension, CMI decays faster than the inverse square of the buffer length if and only if the long-distance physics is Markovian.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Conditional mutual information (CMI) probes spatial non-Markovianity and plays a central role in a recently developed framework for defining mixed-state phases based on local reversibility. background 1.00 0.06 0.03 asserted 1.00
s1 This framework sharply distinguishes exponentially decaying from algebraically decaying CMI, since the latter obstructs equivalence to a state with finite Markov length. background 1.00 0.11 0.07 asserted 1.00
s2 Here we show that states that flow to the same renormalization-group (RG) fixed point can nevertheless exhibit qualitatively different CMI. result 0.78 0.88 0.48 asserted 1.00
s3 Starting from a critical Gibbs state of a finite-range local classical Hamiltonian, whose CMI vanishes beyond the interaction range, we show that an RG-irrelevant perturbation that breaks detailed balance generically generates algebraically decaying CMI. result 0.88 0.94 0.26 asserted 1.00
s4 Crucially, these power-law tails are cutoff-suppressed: although they lead to an infinite Markov length at every fixed lattice cutoff, they vanish as a positive power of the cutoff in the continuum limit. result 0.89 0.87 0.27 asserted 1.00
s5 We construct solvable models that exhibit this phenomenon and predict that the Ising-symmetric critical point of Toom's cellular automata generically exhibits such behavior. contribution 0.56 0.91 0.15 hedged possibility 0.50
s6 We also find analogous cutoff-suppressed CMI in the high-temperature paramagnetic phase of the long-range Ising paramagnet, in contrast with the genuine power-law CMI at the finite-temperature critical point in this same model that survives the continuum limit. result 0.99 0.95 0.08 asserted 1.00
s7 We also derive a general result that in one spatial dimension, CMI decays faster than the inverse square of the buffer length if and only if the long-distance physics is Markovian. result 0.97 0.93 0.18 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 1.00 · evidence from proof or derivation 1.00.

What was examined, and what was not

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  • figures and tables
  • references and citing sentences
  • relations to other papers
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

Figures
Figure 1. FIG. 1. Two geometries for the CMI
Figure 2. FIG. 2. CMI of the model in Eq. (
Figure 3. FIG. 3. CMI of the long-range Gaussian model in

Figures reproduced from arXiv:2610.11235 by the authors.

References

Discussion

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