Pith. sign in

REVIEW 3 minor 1 cited by

Rates for maps and flows in a deterministic multidimensional weak invariance principle

T0 review · 0 major / 3 minor · reviewed 2026-05-24 · grok-4.3

Pith's one-line read Rates of convergence to N-dimensional Brownian motion are established for nonuniformly hyperbolic dynamical systems in discrete and continuous time.

desk verdict This paper supplies the first rates in the multidimensional weak invariance principle for N≥2 in both discrete and continuous time, under standard nonuniformly hyperbolic assumptions. read the letter →

arxiv 2406.06123 v3 submitted 2024-06-10 math.DS

classification math.DS
keywords invarianceprincipleratesofconvergenceBrownianmotionnonuniformhyperbolicitydynamicalsystemsAxiomAflowsYoungtowers
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper aims to establish the first rates of convergence to an N-dimensional Brownian motion for N greater than or equal to 2, covering both discrete and continuous time dynamical systems. It also provides the first rates for continuous time in any dimension. These results apply to systems with nonuniformly hyperbolic or expanding structures such as Axiom A flows. A reader would care because such rates make the link between deterministic chaos and stochastic processes more precise and quantitative, allowing better understanding of long-term behavior in higher-dimensional chaotic systems.

What carries the argument

The multidimensional weak invariance principle equipped with explicit rates of convergence for maps and flows.

What would settle it

A specific calculation for a two-dimensional Axiom A system where the observed convergence rate to Brownian motion violates the predicted bound would falsify the claim.

Watch

Extended reading notes

Core claim

The central claim is that rates of convergence in the weak invariance principle to an N-dimensional Brownian motion exist for N≥2 in both discrete and continuous time for nonuniformly hyperbolic and expanding systems such as Axiom A flows, suspensions over a Young tower with exponential tails, and some classes of intermittent solenoids.

Load-bearing premise

The dynamical systems must admit a nonuniformly hyperbolic or expanding structure that permits the application of invariance principle techniques.

Editorial extensions

If this is right

  • Rates become available for multidimensional cases previously limited to one dimension.
  • Continuous-time systems gain rates in all dimensions for the first time.
  • The results cover standard classes like Axiom A flows and Young tower suspensions.

Reading between the lines

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

  • These rates may enable more accurate error analysis in modeling diffusion via chaotic dynamics.
  • Further work could test the rates on concrete examples like the Lorenz flow.
Share X Bluesky LinkedIn Reddit HN

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

0 major / 3 minor

Summary. The manuscript claims to establish the first quantitative rates of convergence in the weak invariance principle to an N-dimensional Brownian motion for N≥2, covering both discrete-time maps and continuous-time flows. It additionally provides the first such rates for flows in any dimension. The results apply to nonuniformly hyperbolic and expanding systems, including Axiom A flows, suspensions over Young towers with exponential tails, and certain classes of intermittent solenoids.

Significance. If the technical estimates hold, the work fills a notable gap by supplying explicit rates in the multidimensional setting, where only qualitative invariance principles were previously available for N≥2. The extension to continuous time is a natural but nontrivial advance with potential implications for statistical properties of flows. The choice of standard model classes (Young towers, Axiom A) makes the results immediately applicable to many existing examples in the literature.

minor comments (3)
  1. [Abstract] The abstract states the results apply to 'some classes of intermittent solenoids' without specifying the precise tail conditions or the dimension range; this should be clarified in the introduction or statement of main theorems to allow readers to assess applicability.
  2. Notation for the rates (e.g., dependence on the dimension N, the Hölder exponent, or the tail decay parameter) should be introduced uniformly in the main theorems and compared explicitly to the one-dimensional case to highlight the new contributions.
  3. Ensure that the statement of the multidimensional martingale approximation or the coupling argument (whichever is used) includes a clear reference to the scalar case it extends, so that the novelty in handling vector-valued observables is transparent.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive summary, assessment of significance, and recommendation of minor revision. No specific major comments were provided in the report, so we have no individual points to address.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity detected

full rationale

The provided abstract and summary contain no equations, parameter fits, self-citations, or derivation steps that reduce the claimed rates of convergence to inputs by construction. The central result is an extension of invariance principle techniques to vector-valued observables and flows under standard nonuniformly hyperbolic assumptions; this extension is presented as a technical advance without any self-referential definitions or renamings that would create circularity. No load-bearing steps are identifiable from the given text.

Assumptions & free parameters 0 free parameters · 0 assumptions · 0 invented entities

Abstract-only review yields no identifiable free parameters, axioms, or invented entities.

how reviews work

0 comments
Cite this review

Pith. "Pith review of Rates for maps and flows in a deterministic multidimensional weak invariance principle." pith.science (2026). https://pith.science/paper/2406.06123

@misc{pith2026240606123,
  author       = {Pith},
  title        = {Pith review of: Rates for maps and flows in a deterministic multidimensional weak invariance principle},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/2406.06123}},
  note         = {Machine review of arXiv:2406.06123}
}
abstract

We present the first rates of convergence to an $N$-dimensional Brownian motion when $N\ge2$ for discrete and continuous time dynamical systems. Additionally, we provide the first rates for continuous time in any dimension. Our results hold for nonuniformly hyperbolic and expanding systems, such as Axiom A flows, suspensions over a Young tower with exponential tails, and some classes of intermittent solenoids.

Discussion (0). Sign in to comment.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

  • IndisputableMonolith/Foundation/RealityFromDistinction.lean reality_from_one_distinction unclear
    ?
    unclear

    Relation between the paper passage and the cited Recognition theorem.

    We present the first rates of convergence to an N-dimensional Brownian motion when N≥2 for discrete and continuous time dynamical systems... Our results hold for nonuniformly hyperbolic and expanding systems, such as Axiom A flows, suspensions over a Young tower with exponential tails...

  • IndisputableMonolith/Cost/FunctionalEquation.lean washburn_uniqueness_aczel unclear
    ?
    unclear

    Relation between the paper passage and the cited Recognition theorem.

    Our proofs utilize results from general martingale theory [12,13,24]. To apply the latter to discrete time dynamical systems, we follow the same strategy of [3,26] and rely on an advanced adaptation [22] of the martingale-coboundary decomposition introduced by Gordin [17].

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Quenched invariance principle with a rate for random dynamical systems

    math.DS 2025-06 conditional novelty 7.0 of 10

    For random Young towers with ergodic driving, self-normalized Birkhoff sums converge to a standard Brownian motion in Wasserstein distance at rate O(n^{-1/4+1/(2q)}).

Reference graph

Works this paper leans on

43 extracted references · 43 canonical work pages · cited by 1 Pith paper

  1. [1]

    and Denker, M

    Aaronson, J. and Denker, M. (2001). Local limit theorems for partial sums of station- ary sequences generated by Gibbs-Markov maps. Stoch. Dyn. , 1(2):193–237

  2. [2]

    Alves, J. F. (2020). Nonuniformly hyperbolic attractors—geometric and probab ilistic aspects. Springer Monographs in Mathematics. Springer, Cham. 37

  3. [3]

    and Melbourne, I

    Antoniou, M. and Melbourne, I. (2019). Rate of convergen ce in the weak invariance principle for deterministic systems. Comm. Math. Phys. , 369(3):1147–1165

  4. [4]

    Araújo, V., Melbourne, I., and Varandas, P. (2015). Rapi d mixing for the Lorenz at- tractor and statistical limit laws for their time-1 maps. Comm. Math. Phys. , 340(3):901– 938

  5. [5]

    Bálint, P., Butterley, O., and Melbourne, I. (2019). Pol ynomial decay of correlations for flows, including Lorentz gas examples. Comm. Math. Phys. , 368(1):55–111

  6. [6]

    and Melbourne, I

    Bálint, P. and Melbourne, I. (2018). Statistical proper ties for flows with unbounded roof function, including the Lorenz attractor. J. Stat. Phys. , 172(4):1101–1126

  7. [7]

    Borovkov, A. A. (1973). The rate of convergence in the inv ariance principle. Teor. Verojatnost. i Primenen. , 18:217–234

  8. [8]

    Bowen, R. (1975). Equilibrium states and the ergodic theory of Anosov diffeomo r- phisms. Lecture Notes in Mathematics, Vol. 470. Springer-Verlag, Berlin-New York

Show all 43 references
  1. [9]

    Burkholder, D. L. (1973). Distribution function inequa lities for martingales. Ann. Probability, 1:19–42

  2. [10]

    and Parry, W

    Coelho, Z. and Parry, W. (1990). Central limit asymptot ics for shifts of finite type. Israel J. Math. , 69(2):235–249

  3. [11]

    Coquet, F., Mémin, J., and Vostrikova, L. (1994). Rate o f convergence in the func- tional limit theorem for likelihood ratio processes. Math. Methods Statist. , 3(2):89–113

  4. [12]

    Courbot, B. (1999). Rates of convergence in the functio nal CLT for martingales. C. R. Acad. Sci. Paris Sér. I Math. , 328(6):509–513

  5. [13]

    Cuny, C., Dedecker, J., and Merlevède, F. (2021). Rates of convergence in invariance principles for random walks on linear groups via martingale methods. Trans. Amer. Math. Soc. , 374(1):137–174

  6. [14]

    and Philipp, W

    Denker, M. and Philipp, W. (1984). Approximation by Bro wnian motion for Gibbs measures and flows under a function. Ergodic Theory Dynam. Systems , 4(4):541–552

  7. [15]

    Donsker, M. D. (1951). An invariance principle for cert ain probability limit theorems. Mem. Amer. Math. Soc. , 6:12

  8. [16]

    Gibbs, A. L. and Su, F. E. (2002). On choosing and boundin g probability metrics. Int. Stat. Rev. , 70(3):419–435

  9. [17]

    Gordin, M. I. (1969). The central limit theorem for stat ionary processes. Dokl. Akad. Nauk SSSR , 188:739–741

  10. [18]

    Gouëzel, S. (2004). Central limit theorem and stable la ws for intermittent maps. Probab. Theory Related Fields , 128(1):82–122

  11. [19]

    Gouëzel, S. (2005). Berry-Esseen theorem and local lim it theorem for non uniformly expanding maps. Ann. Inst. H. Poincaré Probab. Statist. , 41(6):997–1024. 38

  12. [20]

    and Keller, G

    Hofbauer, F. and Keller, G. (1982). Ergodic properties of invariant measures for piecewise monotonic transformations. Math. Z. , 180(1):119–140

  13. [21]

    and Melbourne, I

    Kelly, D. and Melbourne, I. (2016). Smooth approximati on of stochastic differential equations. Ann. Probab., 44(1):479–520

  14. [22]

    Korepanov, A., Kosloff, Z., and Melbourne, I. (2018). Ma rtingale-coboundary de- composition for families of dynamical systems. Ann. Inst. H. Poincaré C Anal. Non Linéaire, 35(4):859–885

  15. [23]

    Korepanov, A., Kosloff, Z., and Melbourne, I. (2019). Ex plicit coupling argument for non-uniformly hyperbolic transformations. P. Roy. Soc. Edinb. A , 149(1):101–130

  16. [24]

    Kubilius, K. (1994). The rate of convergence in the inva riance principle for martingale difference arrays. Liet. Mat. Rink. , 34(4):482–494

  17. [25]

    and Philipp, W

    Kuelbs, J. and Philipp, W. (1980). Almost sure invarian ce principles for partial sums of mixing B-valued random variables. Ann. Probab., 8(6):1003–1036

  18. [26]

    and Wang, Z

    Liu, Z. and Wang, Z. (2024). Wasserstein convergence ra tes in the invariance principle for deterministic dynamical systems. Ergodic Theory Dynam. Systems , 44(4):1172– 1191

  19. [27]

    Liverani, C., Saussol, B., and Vaienti, S. (1999). A pro babilistic approach to inter- mittency. Ergodic Theory Dynam. Systems , 19(3):671–685

  20. [28]

    Melbourne, I. (2007). Rapid decay of correlations for n onuniformly hyperbolic flows. Trans. Amer. Math. Soc. , 359(5):2421–2441

  21. [29]

    Melbourne, I. (2018). Superpolynomial and polynomial mixing for semiflows and flows. Nonlinearity, 31(10):R268–R316

  22. [30]

    and Nicol, M

    Melbourne, I. and Nicol, M. (2005). Almost sure invaria nce principle for nonuniformly hyperbolic systems. Comm. Math. Phys. , 260(1):131–146

  23. [31]

    and Török, A

    Melbourne, I. and Török, A. (2002). Central limit theor ems and invariance principles for time-one maps of hyperbolic flows. Comm. Math. Phys. , 229(1):57–71

  24. [32]

    and Török, A

    Melbourne, I. and Török, A. (2004). Statistical limit t heorems for suspension flows. Israel J. Math. , 144:191–209

  25. [33]

    and Varandas, P

    Melbourne, I. and Varandas, P. (2016). A note on statist ical properties for nonuniformly hyperbolic systems with slow contraction and expansion. Stoch. Dyn. , 16(3):1660012, 13

  26. [34]

    and Zweimüller, R

    Melbourne, I. and Zweimüller, R. (2015). Weak converge nce to stable Lévy processes for nonuniformly hyperbolic dynamical systems. Ann. Inst. Henri Poincaré Probab. Stat., 51(2):545–556

  27. [35]

    Paviato, N. (2022). Rates for maps and flows in a deterministic multidimensional weak invariance principle . PhD thesis, University of Warwick

  28. [36]

    and Manneville, P

    Pomeau, Y. and Manneville, P. (1980). Intermittent tra nsition to turbulence in dissipative dynamical systems. Commun. Math. Phys. , 74(2):189–197. 39

  29. [37]

    Pène, F. (2007). A Berry Esseen result for the billiard t ransformation. hal-01101281

  30. [38]

    Sawyer, S. (1972). Rates of convergence for some functi onals in probability. Ann. Math. Statist. , 43:273–284

  31. [39]

    Sina ˘ ı, J. G. (1972). Gibbs measures in ergodic theory. Uspehi Mat. Nauk , 27(4(166)):21–64

  32. [40]

    Whitt, W. (1974). Preservation of rates of convergence under mappings. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete , 29:39–44

  33. [41]

    Williams, D. (1991). Probability with martingales . Cambridge Mathematical Text- books. Cambridge University Press, Cambridge

  34. [42]

    Young, L.-S. (1998). Statistical properties of dynami cal systems with some hyper- bolicity. Ann. of Math. (2) , 147(3):585–650

  35. [43]

    Young, L.-S. (1999). Recurrence times and rates of mixi ng. Israel J. Math. , 110:153– 188. 40

Pith tools

Reviewed May 24, 2026 · model on record in the stance chip above.