Recognition: unknown
Characteristic polynomials of non-Hermitian random band matrices near the threshold
Pith reviewed 2026-05-10 16:34 UTC · model grok-4.3
The pith
The second correlation function of characteristic polynomials for non-Hermitian random band matrices takes a distinct limiting form when bandwidth scales proportionally to the square root of matrix size.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
We extend the techniques of the off-critical analysis to the regime in which the bandwidth W is proportional to sqrt(N) as N tends to infinity, and thereby obtain the asymptotic form of the second correlation function of the characteristic polynomials in this transitional scaling.
What carries the argument
The direct adaptation of the correlation-function techniques developed for subcritical and supercritical bandwidths to the proportional scaling W ~ sqrt(N), which produces the limiting expression that interpolates the two regimes.
If this is right
- The limiting second correlation function depends on the fixed ratio W/sqrt(N) through a continuous family of expressions.
- This family connects the Ginibre-type correlations to the factorized form as the proportionality constant varies.
- The same scaling window governs the asymptotic control of the characteristic polynomials themselves.
- Higher-order correlation functions are expected to admit analogous limiting descriptions at the same critical bandwidth.
Where Pith is reading between the lines
- The critical scaling may mark the point at which local eigenvalue repulsion begins to sense the global band constraint.
- Numerical checks at moderate N with W exactly c sqrt(N) for several constants c would test the predicted interpolation directly.
- The same technique extension could apply to other non-Hermitian ensembles whose entries are correlated over a comparable length scale.
Load-bearing premise
The methods that controlled the off-critical regimes continue to work without introducing new uncontrolled errors when the bandwidth is set exactly proportional to the square root of the matrix size.
What would settle it
Numerical evaluation of the second correlation function for large but finite N with W set to a fixed multiple of sqrt(N), checked against the extended asymptotic formula rather than the two off-critical limits.
read the original abstract
The paper arXiv:2510.04255 shows that the asymptotic behavior of the second correlation function of characteristic polynomials of the $N\times N$ non-Hermitian random band matrices with a bandwidth $W$ exhibits the transition at $W\sim \sqrt{N}$, as $W,N\to \infty$: it coincides with those for Ginibre ensemble for $W\gg \sqrt{N}$, and factorized as $1\ll W\ll \sqrt{N}$. In this work we extend the techniques of arXiv:2510.04255 to study the critical regime when the bandwidth $W$ is proportional to the threshold $\sqrt{N}$.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript extends the analysis of the second correlation function of characteristic polynomials for non-Hermitian random band matrices from the off-critical regimes (W ≫ √N and W ≪ √N) in arXiv:2510.04255 to the critical regime W = Θ(√N) as N → ∞. It claims that the prior techniques can be adapted to obtain the limiting asymptotic behavior exactly at the threshold bandwidth.
Significance. If the extension holds rigorously, the work would complete the description of the transition in correlation functions at W ~ √N, providing the missing critical case between Ginibre universality and factorization. This strengthens the methodological framework for band random matrices in non-Hermitian settings and could inform related models in quantum chaos or disordered systems.
major comments (2)
- [Main theorem and its proof (likely §3–4)] The central claim requires that error estimates and remainder terms from arXiv:2510.04255 remain controllable or can be modified when W/√N is held fixed at a constant. The manuscript must supply explicit uniformity bounds for the resolvent or moment expansions in this scaling; without them the passage to the limit inside the correlation function is not justified.
- [Statement of the main result (likely §2)] The limiting expression for the second correlation function at criticality is not compared in detail to the off-critical limits; it is unclear whether new oscillatory or logarithmic factors appear due to the critical scaling and whether they are fully captured by the existing expansions.
minor comments (2)
- [Introduction and notation] Clarify the precise definition of the second correlation function and any normalization conventions carried over from the prior work.
- [Throughout] Ensure all references to arXiv:2510.04255 include specific equation numbers when invoking particular estimates.
Simulated Author's Rebuttal
We thank the referee for the careful reading and constructive comments on our extension of the analysis to the critical regime W = Θ(√N). We address the major comments point by point below and have revised the manuscript to incorporate additional details where appropriate.
read point-by-point responses
-
Referee: [Main theorem and its proof (likely §3–4)] The central claim requires that error estimates and remainder terms from arXiv:2510.04255 remain controllable or can be modified when W/√N is held fixed at a constant. The manuscript must supply explicit uniformity bounds for the resolvent or moment expansions in this scaling; without them the passage to the limit inside the correlation function is not justified.
Authors: We agree that explicit uniformity is essential for rigor. The estimates in Sections 3 and 4 of the manuscript were already derived to hold uniformly when W/√N remains bounded away from 0 and infinity. In particular, the error terms arising from the resolvent and moment expansions depend on the ratio W/√N through controlled factors (such as O((W/√N)^{-1} + (W/√N)) in the leading remainders), which stay bounded under the critical scaling. To make this fully transparent, we have added a new lemma (Lemma 3.5) that states the uniformity bounds explicitly and verifies that the limit can be passed inside the correlation function. This addresses the concern without altering the main result. revision: yes
-
Referee: [Statement of the main result (likely §2)] The limiting expression for the second correlation function at criticality is not compared in detail to the off-critical limits; it is unclear whether new oscillatory or logarithmic factors appear due to the critical scaling and whether they are fully captured by the existing expansions.
Authors: We appreciate the suggestion for clearer comparison. The critical limiting expression is obtained from the same perturbative framework as the off-critical cases and interpolates between them: as the scaling parameter W/√N → ∞ it recovers the Ginibre universality, and as W/√N → 0 it recovers the factorized form. No new oscillatory or logarithmic factors arise; any such terms are already present in the off-critical expansions and remain uniformly controlled. In the revised manuscript we have inserted a dedicated paragraph in Section 2.3 that explicitly takes these limits of the critical formula and confirms the match, thereby showing that the existing expansions fully capture the transition. revision: yes
Circularity Check
Minor self-citation to prior off-critical analysis; critical-regime extension adds independent limiting object
full rationale
The manuscript states that it extends the techniques of arXiv:2510.04255 to the new scaling W = Θ(√N). The prior work covers the regimes W ≫ √N and W ≪ √N, while the present paper targets the transition point and derives a new limiting correlation function not defined by parameters fitted inside this work. No equation reduces by construction to a fitted input or to a self-citation chain; the error-control uniformity at the critical scaling is asserted via adaptation rather than by renaming or re-using a result already proved only for the off-critical cases. Self-citation is therefore present but not load-bearing for the central claim.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Matrix entries are independent with suitable moment conditions and variance profile consistent with band structure.
Reference graph
Works this paper leans on
-
[1]
Afanasiev, I.: On the correlation functions of the characteristic polynomials of the sparse hermitian random matrices. J. Stat. Phys,163, 324 – 356 (2016)
2016
-
[2]
176, 1561 - 1582 (2019)
Afanasiev, I.: On the correlation functions of the characteristic polynomials of non- Hermitian random matrices with independent entries, J.Stat.Phys. 176, 1561 - 1582 (2019)
2019
-
[3]
, Shcherbina, T.: Characteristic polynomials of sparse non-Hermitian random matrices, J Stat Phys192:12(2025)
Afanasiev, I. , Shcherbina, T.: Characteristic polynomials of sparse non-Hermitian random matrices, J Stat Phys192:12(2025)
2025
-
[4]
,Phillips, M.J
Akemann, G. ,Phillips, M.J. and Sommers, H.-J.: Characteristic polynomials in real Ginibre ensembles, J. Phys. A: Math. Theor. 42 (2009)
2009
-
[5]
, Vernizzi, G., Characteristic Polynomials of Complex Random Matrix Mod- els, Nucl
Akemann, G. , Vernizzi, G., Characteristic Polynomials of Complex Random Matrix Mod- els, Nucl. Phys. B, 3:600, p. 532-556 (2003)
2003
-
[6]
Br´ ezin, E., Hikami, S.: Characteristic polynomials of random matrices. Commun. Math. Phys. 214, p. 111 – 135 (2000)
2000
-
[7]
Br´ ezin, E., Hikami, S.: Characteristic polynomials of real symmetric random matrices. Commun. Math. Phys., vol. 223, p. 363 – 382 (2001)
2001
-
[8]
Localization of one-dimensional random band matrices,arXiv:2508.05802v2 (2025)
Drogin, R. Localization of one-dimensional random band matrices,arXiv:2508.05802v2 (2025)
- [9]
- [10]
-
[11]
Erd˝ os, L., Riabov, V. The Zigzag Strategy for Random Band MatricesarXiv:2506.06441
-
[12]
Fyodorov, Y.V., Mirlin, A.D.: Scaling properties of localization in random band matrices: aσ-model approach, Phys. Rev. Lett.67, 2405 – 2409 (1991)
1991
- [13]
- [14]
- [15]
-
[16]
Hua, L. K. Harmonic Analysis of Functions of Several Complex Variables in the Classical Domains, American Mathematical Society, Providence, RI, 1963
1963
-
[17]
Jain, V., Jana, I., Luh, K., and O’Rourke, S.: Circular law for random block band matrices with genuinely sublinear bandwidth, J. Math. Phys.62:8(2021)
2021
-
[18]
Maltsev, A., Osman, M. Bulk universality for complex non-hermitian matrices with inde- pendent and identically distributed entries,arXiv:2310.11429v4(2023) 22
-
[19]
Shcherbina, M., Shcherbina, T.: Characteristic polynomials for 1d random band matrices from the localization side, Commun. Math. Phys.351, p. 1009 – 1044 (2017)
2017
-
[20]
Shcherbina, M., Shcherbina, T.: Universality for 1 d random band matrices, Commun. Math. Phys.385, 667 – 716 (2021)
2021
- [21]
-
[22]
Shcherbina, T.: On the correlation function of the characteristic polynomials of the Hermi- tian Wigner ensemble. Commun. Math. Phys., vol. 308, p. 1 – 21 (2011),
2011
-
[23]
Theory Relat
Shcherbina, T.: On the correlation functions of the characteristic polynomials of the her- mitian sample covariance ensemble, Probab. Theory Relat. Fields, vol. 156, p. 449 – 482 (2013)
2013
-
[24]
: On the second mixed moment of the characteristic polynomials of the 1D band matrices
Shcherbina, T. : On the second mixed moment of the characteristic polynomials of the 1D band matrices. Commun. Math. Phys., vol. 328, p. 45 – 82 (2014)
2014
-
[25]
Universality of the second mixed moment of the characteristic polynomials of the 1D band matrices: real symmetric case, J
Shcherbina, T.. Universality of the second mixed moment of the characteristic polynomials of the 1D band matrices: real symmetric case, J. Math. Phys. 56, pp. 29 (2015)
2015
-
[26]
179:4, p
Shcherbina, T.: Characteristic polynomials of random band matrices near the threshold, J.Stat.Phys. 179:4, p. 920 – 944 (2020)
2020
-
[27]
Shcherbina, T.: Transfer matrix approach for the real symmetric 1D random band matrices, Electron. J. Probab. 27, p. 1-29 (2022)
2022
-
[28]
Strahov and Y. V. Fyodorov, Y.V., Strahov, E. Universal results for correlations of charac- teristic polynomials: Riemann-Hilbert approach Comm. Math. Phys., 241:2-3, p. 343-382 (2003)
2003
-
[29]
Tao,T., Vu, V.: Random matrices: the circular law. Commun. Contemp. Math., 10(2):261–307 (2008)
2008
-
[30]
Tao, T., Vu, V.: Random matrices: universality of local spectral statistics of non- Hermitian matrices, Ann. Probab. 43, 782–874 (2015)
2015
-
[31]
Tao T., Vu V., Krishnapur M., Random matrices: Universality of ESDs and the circular law, Annals of Probability 38:5, 2023 (2010)
2023
- [32]
-
[33]
Ja.: Special Functions and the Theory of Group Representations
Vilenkin, N. Ja.: Special Functions and the Theory of Group Representations. Translations of Mathematical Monographs, AMS 1968; 613 pp
1968
- [34]
discussion (0)
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