REVIEW 2 major objections 6 minor 24 references
Persistence probabilities for MA(1) sequences with uniform innovations
T0 review · 2 major / 6 minor · reviewed 2026-08-06 · deepseek-v4-flash
Pith's one-line read This paper gives explicit generating functions for the persistence probability of an MA(1) sequence with uniform innovations, in every parameter region, using deformed exponential functions and duality formulas.
desk verdict The generating-function results are real and mostly correct, but Corollary 4 is false as stated and the paper needs a round of typo fixes before it is publishable. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the deformed exponential function $E(r,z)=\sum_{n\ge0}r^{n(n-1)/2}z^n/n!$. It arises from integrating the nested volume of the polytope $\{\theta x_i\le x_{i+1}\le1\}$, and it appears in the denominator of every nontrivial generating function; its reciprocal has a purely combinatorial expansion in terms of $\ell$-profiles that the paper works out in Lemma 5. The arguments $az/(1+a)$ and $-z/(1+a)$, together with their $\theta$-scaled variants, encode the asymmetry of the uniform interval $[-a,1]$. Three duality operations—reversing the index order, replacing $\theta$ by $1/\theta$, and swapping $a$ with $1/a$—carry the identities across parameter regions, and the generating-function relation $\hat P_\theta(z)=\hat P_{1/\theta}(-z)/(1-z\hat P_{1/\theta}(-z))$ is the engine that connects the regions.
What would settle it
Compute $p^a_n(\theta)$ exactly for small $n$ by numerical integration or exact polytope volume at a parameter point inside the blue region, say $a=1$, $\theta=1/2$, and compare the coefficients of the power series of the right-hand side of the blue-region identity; a mismatch would refute the identity. To test the exponent claim, locate all zeros of $E(\theta,-z/(1+a))$ in a disk around the origin and check whether the smallest-modulus zero is real and positive; a counterexample would invalidate Corollaries 3, 8, 10, and 11 without touching Theorem 1.
Extended reading notes
Core claim
The central discovery is that the persistence probability of an MA(1) process with uniform innovations is governed by the deformed exponential function $E(r,z)=\sum_{n\ge0}r^{n(n-1)/2}z^n/n!$. For parameters in the blue region, the generating function identity $\sum_{n\ge0}p^a_n(\theta)z^n=(E(\theta, az/(1+a))-E(\theta, -z/(1+a)))/(zE(\theta, -z/(1+a)))$ holds, and analogous identities hold in the green, yellow, orange, and white regions, with the white region giving $p^a_n(\theta)\equiv1$. Duality relations, including $p^a_n(\theta)=p^{1/a}_n(1/\theta)$ for $\theta>0$ and the generating-function identity $\hat P_\theta(z)=\hat P_{1/\theta}(-z)/(1-z\hat P_{1/\theta}(-z))$, extend these formulas to $|\theta|>1$. In the blue and green regions the coefficients can be rewritten through the combinatorial quantities $\phi_\ell(\theta)$ defined by the series expansion of $1/E(\theta,z)$, and in the special case $a=-\theta$ they are Mallows-Riordan polynomials, the polynomials defined by the logarithmic generating function of the deformed exponential.
Load-bearing premise
The corollaries that turn the generating functions into exponential decay rates assume that the decay rate is controlled by the smallest positive zero of the denominator; this singularity-analysis step is stated but not proved in the paper.
Editorial extensions
If this is right
- The value $p^a_n(1)=1/(n+1)!$ follows for every $a>-1$, recovering the previously known formula for $\theta=1$.
- In the blue and green regions the persistence exponent is the reciprocal of the smallest positive zero of $E(\theta,-z/(1+a))$, with the asymptotic form $p^a_n(\theta)\sim (1+a)E(\theta,a/(\lambda(1+a)))/E(\theta,-\theta/(\lambda(1+a)))\cdot\lambda^{n+2}$.
- In the orange region the generating function is piecewise rational; for $\theta>1$ and $-1/\theta\le a<0$ it is piecewise polynomial, and the probabilities vanish once $\theta^n(-a)\ge1$.
- For $a=-\theta$ in the blue region, one obtains $p^{-\theta}_n(\theta)=J_{n+2}(\theta)/(n+1)!$, connecting MA(1) persistence to the Mallows-Riordan polynomials studied for autoregressive processes.
- The duality identities extend all five formulas to $|\theta|>1$, so the phase diagram covers the entire $(a,\theta)$-plane.
Reading between the lines
- The volume-of-polytope reading suggests a direct numerical check that the paper does not report: for small $n$, exact polytope-volume algorithms could verify the generating-function coefficients at specific parameters such as $a=1$, $\theta=1/2$.
- Because the duality in Lemma 2 is proved for general continuous distributions, the relation $\hat P_\theta(z)=\hat P_{1/\theta}(-z)/(1-z\hat P_{1/\theta}(-z))$ is a transfer principle that likely applies beyond uniform innovations; applying it to other innovation laws is not attempted here.
- The persistence exponents in the blue and green regions reduce to zeros of the deformed exponential, so any future information about those zeros would immediately sharpen the asymptotic constants, not just the decay rates.
- The rational-versus-transcendental classification of the generating functions mirrors the quarter-plane-walks dichotomy, and the same classification question could reasonably be asked for moving average processes of higher order.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper computes persistence probabilities p^a_n(θ) = P(X_2 ≥ θ X_1, …, X_{n+1} ≥ θ X_n) for an MA(1)-type condition when the i.i.d. innovations are uniform on [−a, 1]. The main theorem gives explicit generating functions in five parameter regions (blue, green, yellow, orange, white), expressed through the deformed exponential function E(θ, z), and also states dualities that extend the results to |θ| > 1. The proofs use integral recursions, conditioning arguments, dualities valid for general continuous distributions, and a combinatorial expansion for the reciprocal 1/E(θ, z). Several corollaries give persistence exponents and representations via Mallows–Riordan polynomials or the combinatorial coefficients φ_ℓ(θ).
Significance. If the central identities hold, the paper is a valuable contribution: explicit formulas for persistence probabilities of this MA(1) model were previously known only in special cases, and the five-region phase diagram with rational versus transcendental generating functions is elegant and potentially useful. The main derivations are careful, self-contained, and checkable, and the dualities in Lemmas 1–3 are of independent interest. However, the paper currently contains a false corollary (Corollary 4) and the persistence-exponent statements are asserted without a complete proof in the case where the relevant deformed exponentials have sign-changing coefficients. The core generating-function identities of Theorem 1 appear sound, but these secondary claims need correction before the paper can be accepted.
major comments (2)
- [§4.2, Corollary 4] Corollary 4 is false as stated. It claims p^{−θ}_n(θ) = J_{n+2}(θ)/(n+1)! for θ ∈ [0, 1]. For θ ∈ [0, 1] and a = −θ, the innovation distribution is uniform on [θ, 1], so θX_i ≤ θ ≤ X_{i+1} for all i and the persistence probability is identically 1. This is not equal to J_{n+2}(θ)/(n+1)! in general; for example θ = 1/2 and n = 1 gives J_3(1/2)/2! = (5/2)/2 = 5/4. The proof applies the blue-region formula (16), but its hypotheses are not satisfied for θ ∈ [0, 1], a = −θ. The intended domain is evidently θ ∈ [−1, 0], for which a = −θ is the lower boundary of the blue region and the identity follows from (16). The statement and proof must be corrected accordingly.
- [Remark 7; Corollaries 3, 8, 10, 11] The persistence-exponent corollaries are asserted without a complete proof. In the blue and green regions with θ ∈ [−1, 0), the coefficients of E(θ, ·) are not nonnegative, so the numerator E(θ, a z/(1+a)) (blue) or E(θ, −z/(θ(1+a))) (green) evaluated at a positive zero of E(θ, −z/(1+a)) is not automatically nonzero. Pringsheim's theorem applied to the full generating function ensures that the radius of convergence is a positive real singularity, but it does not by itself identify that singularity with the smallest positive zero of the denominator when numerator cancellation is possible. The paper needs either a short proof of the non-cancellation and dominant-zero property, or a supporting reference from the theory of deformed exponential zeros. This is needed to justify the stated formulas for the persistence exponent in these regimes.
minor comments (6)
- [Theorem 1(O), Eq. (5); Lemma 9, Eq. (22)] The definition x_+ := min(x, 0) is a typo; it should be x_+ := max(x, 0). The displayed formulas use positive parts of quantities such as (1/θ^n − b), which are nonnegative under the stated hypotheses, so min would make the expressions identically zero in some cases.
- [Corollary 1 proof] In the proof of Corollary 1, the displayed chain `¯θ(−X1/a) ⩽ (−X2/a), …, ¯θ(−Xn/a) ⩾ (−Xn+1/a)` mixes ≤ and ≥ signs. All inequalities should be ≤ (or the notation should be made consistent) so that the expression matches the definition of p^{1/a}_n(θ).
- [Lemma 3 proof] The sentence 'We proceed exactly as in the proof of Lemma 8' refers to a lemma that is defined later in the paper; it should refer to Lemma 2, whose proof is the one being adapted.
- [Lemma 9] The condition `1 ⩽ θ ⩽ −1/a` is not well-defined when a = 0. The case b = 0 should be stated separately, or the right endpoint should be interpreted as +∞ when b = 0.
- [Section 7 opening] In the first paragraph of Section 7, the phrase 'for b < 0' should read 'for b > 0', since b := −a and a ∈ (−1, 0] implies b ≥ 0.
- [Remark 8] The claim that the generating function in the orange region (O) is piecewise rational should be qualified. For a = 0, which is included in the stated region of Theorem 1(O), formula (5) reduces to (1 − E(θ, −z))/(z E(θ, −z)), which is not a rational function of z for fixed θ ∈ (0, 1).
Circularity Check
No circularity: Theorem 1's generating functions are derived from first principles by polytope integration, conditioning, and general distributional dualities, with no fitted inputs and no load-bearing self-citations.
full rationale
The derivation chain is self-contained. Lemma 6 computes the blue-region generating function by direct integration of the volume of the polytope defined by the inequalities theta x_i <= x_{i+1}, converting the integrated recursion into an identity involving the deformed exponential E(theta,z); no parameter is fit and no target generating function is used to set any constant. Lemma 7 reduces the green region to the blue boundary case by conditioning on the event X_i >= 1/theta, Lemma 8 obtains the yellow formula from the duality of Corollary 1, which itself is proved from Lemma 3 by an inclusion-exclusion argument valid for general continuous distributions, and Lemma 9 directly integrates the orange-region probabilities recursively before Lemma 10 applies the general duality (9). The white region is proved by pointwise inequalities in Lemma 4. The paper's citations to the authors' own prior work are not load-bearing: the symmetric case a = 1 from [15] is used as a check, and the theta = 1 result is re-proved in Lemma 4(b) to make the paper self-contained. The Mallows-Riordan formula (18) cited from [1] is re-derived in the text from the defining log-series (17) and is used only in the peripheral Corollary 4, not as an input to Theorem 1. The reader's singularity worry about cancellation at the smallest zero of the denominator is a technical verification question, not a circularity: the paper explicitly states the identities as formal power series or up to the smallest zero of the denominator in Remark 3, and positivity prevents numerator cancellation in the blue and green cases, as the skeptic's own analysis confirms. The genuine domain error in Corollary 4 is a correctness defect, not a circular step, because the incorrect application of formula (16) does not make any central claim equivalent to its own assumptions. Overall, there is no significant circularity.
Assumptions & free parameters
assumptions (2)
- domain assumption The persistence exponent is given by the inverse of the smallest positive zero of the denominator of the generating function.
- standard math The deformed exponential function E(theta,z) admits a smallest positive real zero in the relevant parameter ranges.
Cite this review
Pith. "Pith review of Persistence probabilities for MA(1) sequences with uniform innovations." pith.science (2026). https://pith.science/paper/QVRBXELH
@misc{pith2026250704427,
author = {Pith},
title = {Pith review of: Persistence probabilities for MA(1) sequences with uniform innovations},
year = {2026},
howpublished = {\url{https://pith.science/paper/QVRBXELH}},
note = {Machine review of arXiv:2507.04427}
}
read the original abstract
We study the persistence probabilities of a moving average process of order one with uniform innovations. We identify a number of regions, characterized by the location of the uniform distribution and the coupling parameter of the process, where the persistence probabilities have qualitatively different behaviour. We obtain the generating functions of the persistence probabilities explicitly in all possible regions. In some of the regions, the persistence probabilities can be expressed explicitly in terms of various combinatorial quantities.
Figures
Reference graph
Works this paper leans on
-
[1]
Persistence for a class of order-one autoregressive processes and Mallows-Riordan polynomials
Gerold Alsmeyer, Alin Bostan, Kilian Raschel, and Thomas Simon. Persistence for a class of order-one autoregressive processes and Mallows-Riordan polynomials. Adv. Appl. Math. , 150:52, 2023. Id/No 102555
work page 2023
-
[2]
Persistence exponents via perturbation theory: Gaussian MA(1)-processes,
Frank Aurzada, Dieter Bothe, Pierre ´Etienne Druet, Marvin Kettner, and Christophe Profeta. Persistence exponents via perturbation theory: Gaussian MA(1)-processes,
-
[3]
Persistence exponents via perturbation theory: AR(1)-processes
Frank Aurzada and Marvin Kettner. Persistence exponents via perturbation theory: AR(1)-processes. J. Stat. Phys. , 177(4):651–665, 2019
work page 2019
-
[4]
Persistence exponents in Markov chains
Frank Aurzada, Sumit Mukherjee, and Ofer Zeitouni. Persistence exponents in Markov chains. Ann. Inst. Henri Poincar´ e, Probab. Stat., 57(3):1411–1441, 2021
work page 2021
-
[5]
Persistence probabilities and exponents
Frank Aurzada and Thomas Simon. Persistence probabilities and exponents. In Andreas Kyprianou, Ren´ e Schilling, and Thomas Simon, editors, L´ evy Matters V, volume 2149 of Lecture Notes in Mathematics, pages 183–224. Springer, Cham, 2015
work page 2015
-
[6]
Survival probabilities of autoregressive processes
Christoph Baumgarten. Survival probabilities of autoregressive processes. ESAIM Probab. Stat., 18:145–170, 2014
work page 2014
-
[7]
Walks with small steps in the quarter plane
Mireille Bousquet-M´ elou and Marni Mishna. Walks with small steps in the quarter plane. In Algorithmic probability and combinatorics. Papers from the AMS special sessions, Chicago, IL, USA, October 5–6, 2007 and Vancouver, BC, Canada, October 4–5, 2008, pages 1–39. Providence, RI: American Mathematical Society (AMS), 2010
work page 2007
-
[8]
Alan J. Bray, Satya N. Majumdar, and Gr´ egory Schehr. Persistence and first-passage properties in nonequilibrium systems. Advances in Physics , 62(3):225–361, 2013
work page 2013
Show all 24 references
-
[9]
Persistence of autoregressive sequences with logarithmic tails
Denis Denisov, G¨ unter Hinrichs, Martin Kolb, and Vitali Wachtel. Persistence of autoregressive sequences with logarithmic tails. Electron. J. Probab., 27:Paper No. 154, 43, 2022
2022
-
[10]
Records for the moving average of a time series
Claude Godr` eche and Jean-Marc Luck. Records for the moving average of a time series. J. Stat. Mech. Theory Exp. , 2020(2):44, 2020. Id/No 023201
2020
-
[11]
Persistence of one-dimensional AR(1)-sequences
G¨ unter Hinrichs, Martin Kolb, and Vitali Wachtel. Persistence of one-dimensional AR(1)-sequences. J. Theor. Probab., 33(1):65–102, 2020. 21
2020
-
[12]
Krishna and Manjunath Krishnapur
M. Krishna and Manjunath Krishnapur. Persistence probabilities in centered, sta- tionary, Gaussian processes in discrete time. Indian J. Pure Appl. Math. , 47(2):183– 194, 2016
2016
-
[13]
On series expansions of zeros of the deformed exponential func- tion
Alexey Kuznetsov. On series expansions of zeros of the deformed exponential func- tion. Preprint, arXiv:2412.02462 [math.CA] (2024), 2024
2024 arXiv
-
[14]
A first passage time distribution for a discrete version of the Ornstein-Uhlenbeck process
Hern´ an Larralde. A first passage time distribution for a discrete version of the Ornstein-Uhlenbeck process. J. Phys. A , 37(12):3759–3767, 2004
2004
-
[15]
Majumdar and Deepak Dhar
Satya N. Majumdar and Deepak Dhar. Persistence in a stationary time series. Phys. Rev. E, 64:046123, Sep 2001
2001
-
[16]
Mallows and John Riordan
Colin L. Mallows and John Riordan. The inversion enumerator for labeled trees. Bull. Am. Math. Soc. , 74:92–94, 1968
1968
-
[17]
First-Passage Phenomena and Their Applications
Ralf Metzler, Gleb Oshanin, and Sidney Redner, editors. First-Passage Phenomena and Their Applications . World Scientific Publishing Co. Pte. Ltd., Hackensack, NJ, 2014
2014
-
[18]
Martingales and first passage times of AR(1) sequences
Alexander Novikov and Nino Kordzakhia. Martingales and first passage times of AR(1) sequences. Stochastics, 80(2-3):197–210, 2008
2008
-
[19]
Alexander A. Novikov. Some remarks on the distribution of the first passage times and the optimal stopping of AR(1)-sequences. Teor. Veroyatn. Primen., 53(3):458– 471, 2008
2008
-
[20]
Salcedo-Sanz, D
S. Salcedo-Sanz, D. Casillas-P´ erez, J. Del Ser, C. Casanova-Mateo, L. Cuadra, M. Piles, and G. Camps-Valls. Persistence in complex systems. Physics Reports, 957:1–73, 2022. Persistence in complex systems
2022
-
[21]
Some wonderful conjectures (but almost no theorems) at the boundary between analysis, combinatorics and probability
Alan Sokal. Some wonderful conjectures (but almost no theorems) at the boundary between analysis, combinatorics and probability. Talk, 2009. https://www.ipht.fr/Meetings/Statcomb2009/misc/Sokal 20091109.pdf
2009
-
[22]
Persistence of AR(1) sequences with Rademacher innovations and linear mod 1 transforms
Vladislav Vysotsky and Vitali Wachtel. Persistence of AR(1) sequences with Rademacher innovations and linear mod 1 transforms. Preprint, arXiv:2305.10038 [math.PR] (2023), 2023
2023 arXiv
-
[23]
Zeros of the deformed exponential function
Liuquan Wang and Cheng Zhang. Zeros of the deformed exponential function. Adv. Math., 332:311–348, 2018. 22
2018
-
[2024]
To appear in Studia Mathematica
Reviewed August 6, 2026 · model on record in the stance chip above.
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