Functional Scaling Limits of Interpolated Correlated Random Walks in H\"older Topology
Pith reviewed 2026-06-28 08:20 UTC · model grok-4.3
The pith
Interpolated random walks with Gaussian-sequence increments converge in Hölder topology to their classical scaling limits.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
When the increments are measurable functions of a stationary Gaussian sequence whose covariance satisfies either a regularly varying non-summable tail or a summable condition, the suitably scaled and linearly interpolated random walks converge in the Hölder topology (and, in the summable regime, in rough Hölder topology) to the same limiting processes given by the classical theorems.
What carries the argument
Functional convergence in (rough) Hölder topology of the interpolated processes, which upgrades the classical weak convergence in Skorokhod space.
If this is right
- Young integrals against the limiting paths are well-defined as continuous functionals of the path.
- Solutions to differential equations driven by the limiting paths exist as continuous images under the solution map.
- Rough-path lifts of the limits can be obtained directly from the Hölder convergence in the summable regime.
- Pathwise operations that are discontinuous in Skorokhod topology become continuous once the topology is strengthened to Hölder.
Where Pith is reading between the lines
- The same Hölder upgrade might apply to scaling limits of other functionals of Gaussian sequences beyond the random-walk setting.
- Numerical schemes that rely on pathwise integration could use these limits without additional regularization.
- The result supplies a direct route from the covariance tail condition to the regularity needed for rough-path theory.
Load-bearing premise
The increments must be deterministic functions of a stationary Gaussian sequence whose covariance obeys either the regularly varying non-summable tail condition or the summable condition required by the classical theorems.
What would settle it
A covariance function satisfying the regularly varying non-summable tail condition for which the corresponding interpolated walks fail to converge in Hölder norm to the Dobrushin-Major-Taqqu limit.
read the original abstract
We prove functional scaling limits for interpolated random walks whose increments are functions of a stationary Gaussian sequence. In this setting, the classical Dobrushin-Major-Taqqu theorem describes the scaling limit when the covariance has a regularly varying, non-summable tail, while the Breuer-Major theorem describes the limit in the summable regime. We strengthen these convergence results to functional convergence in H\"older topology and, in the summable regime, in rough H\"older topology. These stronger topologies are useful because many operations on paths, such as Young integration and solution maps of differential equations, are continuous in (rough) H\"older topology, but not in Skorokhod topology.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript proves functional scaling limits in Hölder topology (and rough Hölder topology in the summable regime) for linearly interpolated random walks whose increments are functions of a stationary Gaussian sequence. It strengthens the classical Dobrushin-Major-Taqqu theorem (non-summable, regularly varying covariance tails) and Breuer-Major theorem (summable covariance) by establishing convergence in these stronger topologies rather than Skorokhod space, under the same covariance assumptions.
Significance. If the results hold, the work is significant because Hölder and rough Hölder topologies make maps such as Young integration and rough differential equation solution operators continuous, enabling direct transfer of convergence to pathwise operations that fail in Skorokhod topology. The approach supplies the necessary uniform moment bounds for Kolmogorov-type tightness criteria adapted to the Gaussian subordination setting, building directly on the classical finite-dimensional convergence results.
minor comments (3)
- [§2.2] §2.2, Definition 2.3: the precise range of the Hölder exponent α (in terms of the covariance decay parameter) is stated only implicitly via the moment bounds; an explicit interval for α would improve readability of the main theorems.
- [Theorem 3.1] Theorem 3.1 (DMT regime): the statement of convergence in C^α does not explicitly record the dependence of α on the regularly varying index; adding this dependence would make the result easier to apply.
- [§4.3] §4.3, proof of tightness: the application of the Kolmogorov-Chentsov criterion is correct but would benefit from a one-sentence reference to the precise version (e.g., the moment condition used for the interpolated process).
Simulated Author's Rebuttal
We thank the referee for the positive summary, recognition of the significance of the Hölder and rough Hölder topologies, and the recommendation of minor revision. No specific major comments appear in the report.
Circularity Check
No significant circularity; derivation is self-contained extension of classical theorems
full rationale
The paper extends the classical Dobrushin-Major-Taqqu and Breuer-Major theorems to Hölder (and rough Hölder) topologies by supplying additional uniform moment bounds for tightness via adapted Kolmogorov criteria. The covariance assumptions are exactly those of the input theorems, with no reduction of any limit statement to a fitted parameter, self-defined quantity, or load-bearing self-citation chain. The argument proceeds from finite-dimensional convergence (inherited from the cited classical results) plus tightness in the stronger metric; no step equates a derived object to its own input by construction. External benchmarks (standard tightness arguments, continuity of Young/rough integration in Hölder spaces) remain independent of the present work.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Stationary Gaussian sequence with covariance satisfying regularly varying non-summable tail or summable condition
Reference graph
Works this paper leans on
-
[1]
A Rough Functional Breuer-Major Theorem , February 2026
Henri Elad Altman, Tom Klose, and Nicolas Perkowski. A Rough Functional Breuer-Major Theorem , February 2026
2026
-
[2]
N. H. Bingham, C. M. Goldie, and J. L. Teugels. Regular Variation . Encyclopedia of Mathematics and Its Applications . Cambridge University Press, Cambridge, 1987
1987
-
[3]
Central limit theorems for non-linear functionals of Gaussian fields
Peter Breuer and P \'e ter Major. Central limit theorems for non-linear functionals of Gaussian fields. Journal of Multivariate Analysis , 13(3):425--441, 1983
1983
-
[4]
Shuyang Bai and Murad S. Taqqu. Sensitivity of the Hermite rank. Stochastic Processes and their Applications , 129(3):822--840, March 2019
2019
-
[5]
R. L. Dobrushin and P. Major. Non-central limit theorems for non-linear functional of Gaussian fields. Zeitschrift f\"ur Wahrscheinlichkeitstheorie und Verwandte Gebiete , 50(1):27--52, January 1979
1979
-
[6]
Friz and Martin Hairer
Peter K. Friz and Martin Hairer. A Course on Rough Paths : With an Introduction to Regularity Structures . Universitext. Springer International Publishing, Cham, 2020
2020
-
[7]
Stochastic Homogenization of Fast-slow Systems Driven by Fractional Noise
Johann Rudolf Gehringer. Stochastic Homogenization of Fast-slow Systems Driven by Fractional Noise . PhD thesis, Imperial College London, 2022
2022
-
[8]
Probability Theory : A Comprehensive Course
Achim Klenke. Probability Theory : A Comprehensive Course . Universitext. Springer, London, 2014
2014
-
[9]
On Convergence of Stochastic Processes
John Lamperti. On Convergence of Stochastic Processes . Transactions of the American Mathematical Society , 104(3):430--435, 1962
1962
-
[10]
The functional Breuer -- Major theorem
Ivan Nourdin and David Nualart. The functional Breuer -- Major theorem. Probability Theory and Related Fields , 176(1):203--218, February 2020
2020
-
[11]
Selected Aspects of Fractional Brownian Motion
Ivan Nourdin. Selected Aspects of Fractional Brownian Motion . Springer Milan, Milano, 2012
2012
-
[12]
Normal Approximations with Malliavin Calculus : From Stein 's Method to Universality : 192
Ivan Nourdin and Giovanni Peccati. Normal Approximations with Malliavin Calculus : From Stein 's Method to Universality : 192 . Cambridge University Press, Cambridge, 2012
2012
-
[13]
The Malliavin Calculus and Related Topics
David Nualart. The Malliavin Calculus and Related Topics . Probability, Its Applications . Springer-Verlag, Berlin/Heidelberg, 2006
2006
-
[14]
Vladas Pipiras and Murad S. Taqqu. Long- Range Dependence and Self-Similarity . Cambridge University Press, April 2017
2017
-
[15]
Murad S. Taqqu. Weak convergence to fractional brownian motion and to the rosenblatt process. Zeitschrift f\"ur Wahrscheinlichkeitstheorie und Verwandte Gebiete , 31(4):287--302, December 1975
1975
-
[16]
Altman, Henri Elad and Klose, Tom and Perkowski, Nicolas , year = 2026, month = feb, number =. A. doi:10.48550/arXiv.2602.16615 , urldate =. arXiv , keywords =:2602.16615 , primaryclass =
-
[17]
, year = 2014, month = apr, journal =
Bai, Shuyang and Taqqu, Murad S. , year = 2014, month = apr, journal =. Generalized. doi:10.1016/j.spa.2013.12.011 , urldate =
-
[18]
, year = 2019, month = mar, journal =
Bai, Shuyang and Taqqu, Murad S. , year = 2019, month = mar, journal =. Sensitivity of the. doi:10.1016/j.spa.2018.03.020 , urldate =
-
[19]
Billingsley, Patrick , year = 1999, month = jul, series =. Convergence of. doi:10.1002/9780470316962 , abstract =
-
[20]
Bingham, N. H. and Goldie, C. M. and Teugels, J. L. , year = 1987, series =. Regular. doi:10.1017/CBO9780511721434 , urldate =
-
[21]
Central Limit Theorems for Non-Linear Functionals of
Breuer, Peter and Major, P. Central Limit Theorems for Non-Linear Functionals of. Journal of Multivariate Analysis , volume =
-
[22]
Proceedings of the American Mathematical Society , volume =
From Random Walks to Rough Paths , author =. Proceedings of the American Mathematical Society , volume =. doi:10.1090/S0002-9939-09-09930-4 , urldate =
-
[23]
doi:10.48550/arXiv.2603.18168 , urldate =
Chaintron, Louis-Pierre and Chizat, L. doi:10.48550/arXiv.2603.18168 , urldate =. arXiv , keywords =:2603.18168 , primaryclass =
-
[24]
Chizat, L. The. doi:10.48550/arXiv.2509.10167 , urldate =. arXiv , keywords =:2509.10167 , primaryclass =
-
[25]
Davis, Tom , year = 2024, month = feb, journal =. A. doi:10.54870/1551-3440.1618 , file =
-
[26]
Dobrushin, R. L. and Major, P. , year = 1979, month = jan, journal =. Non-Central Limit Theorems for Non-Linear Functional of. doi:10.1007/BF00535673 , urldate =
-
[27]
and Hairer, Martin , year = 2020, series =
Friz, Peter K. and Hairer, Martin , year = 2020, series =. A. doi:10.1007/978-3-030-41556-3 , urldate =
-
[28]
Friz, Peter K. and Victoir, Nicolas B. , year = 2010, series =. Multidimensional. doi:10.1017/CBO9780511845079 , urldate =
-
[29]
Probability Theory and Related Fields , volume =
Weak Universality for a Class of 3d Stochastic Reaction--Diffusion Models , author =. Probability Theory and Related Fields , volume =. doi:10.1007/s00440-018-0849-6 , urldate =
-
[30]
Galeati, Lucio , year = 2023, month = jun, journal =. Nonlinear. doi:10.1007/s10884-021-09952-w , urldate =
-
[31]
Stochastic
Gehringer, Johann Rudolf , year = 2022, school =. Stochastic
2022
-
[32]
Giraitis, Liudas and Koul, Hira L and Surgailis, Donatas , year = 2012, month = apr, publisher =. Large. doi:10.1142/p591 , urldate =
-
[33]
Explainable expected goal models for performance analysis in football analytics , url =
Hayashi, Kohei and Nakagawa, Kei , year = 2022, month = oct, pages =. Fractional. 2022. doi:10.1109/DSAA54385.2022.10032351 , urldate =
-
[34]
Klenke, Achim , year = 2014, series =. Probability. doi:10.1007/978-1-4471-5361-0 , urldate =
-
[35]
and Platen, Eckhard , year = 1992, publisher =
Kloeden, Peter E. and Platen, Eckhard , year = 1992, publisher =. Numerical. doi:10.1007/978-3-662-12616-5 , urldate =
-
[36]
Kronecker
Kschischang, Frank R , year = 2022, publisher =. Kronecker
2022
-
[37]
Lamperti, John , year = 1962, journal =. On. doi:10.2307/1993787 , urldate =. 1993787 , eprinttype =
-
[38]
Implicit Regularization of Deep Residual Networks towards Neural
Marion, Pierre and Wu, Yu-Han and Sander, Michael Eli and Biau, G. Implicit Regularization of Deep Residual Networks towards Neural. The
-
[39]
Marion, Pierre and Fermanian, Adeline and Biau, G. Scaling. Journal of Machine Learning Research , volume =
-
[40]
Nourdin, Ivan and Nualart, David , year = 2020, month = feb, journal =. The Functional. doi:10.1007/s00440-019-00917-1 , urldate =
-
[41]
Nourdin, Ivan and Peccati, Giovanni , year = 2012, publisher =. Normal
2012
-
[42]
Resnet, Fractional
Nourdin, Ivan and Peccati, Giovanni , langid =. Resnet, Fractional
-
[43]
Nourdin, Ivan , year = 2012, publisher =. Selected. doi:10.1007/978-88-470-2823-4 , urldate =
-
[44]
Nualart, David , year = 2006, series =. The. doi:10.1007/3-540-28329-3 , urldate =
-
[45]
, year = 2017, month = apr, publisher =
Pipiras, Vladas and Taqqu, Murad S. , year = 2017, month = apr, publisher =. Long-
2017
-
[46]
Topics in
Riedel, Sebastian , year = 2013, month = may, urldate =. Topics in
2013
-
[47]
, year = 2017, month = nov, series =
Samoradnitsky, Gennady and Taqqu, Murad S. , year = 2017, month = nov, series =. Stable. doi:10.1201/9780203738818 , abstract =
-
[48]
Stroock, Daniel W. and Varadhan, S. R. Srinivasa , year = 1997, publisher =. Multidimensional. doi:10.1007/3-540-28999-2 , urldate =
-
[49]
Taqqu, Murad S. , year = 1979, month = jan, journal =. Convergence of Integrated Processes of Arbitrary. doi:10.1007/BF00535674 , urldate =
-
[50]
Zeitschrift f\"ur Wahrscheinlichkeitstheorie und Verwandte Gebiete , volume =
Weak Convergence to Fractional Brownian Motion and to the Rosenblatt Process , author =. Zeitschrift f\"ur Wahrscheinlichkeitstheorie und Verwandte Gebiete , volume =. doi:10.1007/BF00532868 , urldate =
-
[51]
Tudor, Ciprian , year = 2023, series =. Non-. doi:10.1007/978-3-031-33772-7 , urldate =
-
[52]
Young, L. C. , year = 1936, month = jan, journal =. An Inequality of the. doi:10.1007/BF02401743 , urldate =
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.