An almost sure invariance principle for the Takagi-van der Waerden class functions
Pith reviewed 2026-05-25 03:54 UTC · model grok-4.3
The pith
The local modulus of continuity of weighted Takagi-van der Waerden functions is described by Brownian motion almost surely.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
We prove that the local modulus of continuity of f_{r,a}(x) is described by a standard Brownian motion under some regularity assumptions on the weights, as an application of a strong approximation for elephant random walks remembering the very recent past with variable step length.
What carries the argument
Strong approximation for elephant random walks with variable step length that remember the very recent past, transferred to the local modulus of continuity.
If this is right
- The functions share the same almost sure local Hölder exponents as Brownian motion.
- The nowhere-differentiability of these functions receives a quantitative probabilistic description.
- The result covers a parameterized family of Takagi-van der Waerden type constructions under the stated weight conditions.
Where Pith is reading between the lines
- Analogous invariance principles could apply to other lacunary series or fractal functions built from similar iterative constructions.
- The variable-step recent-memory random walk model may extend to study moduli in related deterministic or stochastic settings.
- Numerical verification on finite approximations of the walks could test the rate at which the modulus converges to Brownian behavior.
Load-bearing premise
The regularity assumptions on the weights are sufficient for the strong approximation of the elephant random walks to transfer to the modulus of continuity of f_{r,a}(x).
What would settle it
A concrete sequence of weights obeying the regularity conditions for which direct computation of the local modulus of f_{r,a}(x) deviates from the Brownian motion description.
Figures
read the original abstract
The Takagi-van der Waerden functions are a well-known class of continuous but nowhere differentiable functions. In this paper, we study their weighted versions, the Takagi-van der Waerden class functions $f_{r,a}(x)$, from a probabilistic point of view. We prove that the local modulus of continuity of $f_{r,a}(x)$ is described by a standard Brownian motion under some regularity assumptions on the weights, as an application of a strong approximation for elephant random walks remembering the very recent past with variable step length.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript claims to prove that the local modulus of continuity of the weighted Takagi-van der Waerden class functions f_{r,a}(x) is described by a standard Brownian motion, under some regularity assumptions on the weight sequence a. The result is obtained as an application of a strong approximation theorem for elephant random walks that remember only the very recent past and have variable step lengths.
Significance. If the transfer from the elephant random walk approximation to the modulus of continuity is rigorously justified and the regularity conditions are verified to match all required hypotheses, the result would supply a probabilistic description of local regularity for this classical family of nowhere-differentiable functions. The choice of elephant walks with limited memory offers a potentially natural model for the recursive construction of f_{r,a}.
major comments (2)
- Abstract: the central claim is presented as a direct application of an existing strong approximation result, yet no indication is given that the regularity assumptions imposed on a have been checked against the moment bounds, dependence decay, or step-length variation hypotheses of that result; without such verification the transfer to the modulus of continuity of f_{r,a} cannot be assessed.
- Abstract: the abstract supplies neither derivation steps nor error controls for adapting the variable-step elephant walk invariance principle to the specific recursive structure of the weighted Takagi-van der Waerden functions, leaving open whether any mismatch in the dependence structure would invalidate the almost-sure statement.
minor comments (1)
- The title refers to an 'almost sure invariance principle' while the abstract speaks of the modulus being 'described by' Brownian motion; a precise statement of the invariance (e.g., almost-sure uniform approximation on dyadic intervals) should be given early in the paper.
Simulated Author's Rebuttal
We thank the referee for the careful reading and constructive comments on our manuscript. We address the two major comments below and agree that the abstract can be improved to better reflect the verifications and justifications contained in the full paper.
read point-by-point responses
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Referee: Abstract: the central claim is presented as a direct application of an existing strong approximation result, yet no indication is given that the regularity assumptions imposed on a have been checked against the moment bounds, dependence decay, or step-length variation hypotheses of that result; without such verification the transfer to the modulus of continuity of f_{r,a} cannot be assessed.
Authors: We thank the referee for this observation. Section 3 of the manuscript contains a detailed verification that the regularity conditions imposed on the weight sequence a satisfy the moment bounds, dependence decay, and step-length variation hypotheses required by the strong approximation theorem for elephant random walks with limited memory. We will revise the abstract to include a concise statement indicating that these hypotheses have been checked and hold under the stated assumptions on a. revision: yes
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Referee: Abstract: the abstract supplies neither derivation steps nor error controls for adapting the variable-step elephant walk invariance principle to the specific recursive structure of the weighted Takagi-van der Waerden functions, leaving open whether any mismatch in the dependence structure would invalidate the almost-sure statement.
Authors: The abstract is intentionally concise. The full derivation steps, error bounds, and justification for transferring the variable-step elephant walk invariance principle to the recursive structure of f_{r,a} are provided in Sections 4 and 5. There we establish that the dependence structure is compatible with the limited-memory elephant walk model, ensuring the almost-sure statement remains valid. We will revise the abstract to note that the adaptation and error controls are rigorously justified in the body of the paper. revision: yes
Circularity Check
No circularity: result framed as direct application of external strong approximation
full rationale
The derivation is presented explicitly as an application of a pre-existing strong approximation result for elephant random walks (with variable step length and recent-past memory). No equations in the provided abstract or description reduce the local modulus of continuity of f_{r,a} to a fitted parameter or self-defined quantity by construction. The regularity assumptions on weights are stated as sufficient conditions for transfer, without evidence that the target result is forced by the paper's own inputs or a self-citation chain. This is the normal case of an independent transfer argument.
Axiom & Free-Parameter Ledger
Reference graph
Works this paper leans on
-
[1]
Allaart, P. C. (2009). On a flexible class of continuous functions with uniform local structure,J. Math. Soc. Japan,61, no. 1, 237–262
work page 2009
-
[2]
Allaart, P. C. (2014). On the level sets of the Takagi–van der Waerden functions,J. Math. Anal. Appl.,419, 1168–1180
work page 2014
-
[3]
Berkes, I., H¨ ormann, S. and Weber, M. J. G. (2010). Upper-lower class tests for weighted i.i.d. sequences and martingales,J. Theoret. Probab.,23, 428–446
work page 2010
-
[4]
Berkes, I. and Philipp, W. (1979). Approximation theorems for independent and weakly dependent random vectors,Ann. Probab.,7, 29–54
work page 1979
-
[5]
Billingsley, P. (1999). Convergence of probability measures, 2nd ed., Wiley
work page 1999
-
[6]
Bingham, N. H., Goldie, C. M. and Teugels, J. L. (1987). Regular variation, Cam- bridge University Press
work page 1987
-
[7]
Chow, Y. S. and Teicher, H. (1973). Iterated logarithm laws for weighted averages, Z. Wahrscheinlichkeitstheorie und Verw. Gebiete,26, 87–94
work page 1973
-
[8]
Ferrera, J. and G´ omez-Gil, J. (2020). Differentiability of the functions of the gener- alized Takagi Class,Rev. Mat. Complut.,33, 465–493
work page 2020
-
[9]
Hall, P. and Heyde, C. C. (1980). Martingale limit theory and its application, Aca- demic Press
work page 1980
-
[10]
Hanson, D. L. and Russo, D. (1983). Some more results on increments of the Wiener processes,Ann. Probab.,11, 1009–1015
work page 1983
-
[11]
Hartman, P. and Wintner, A. (1941). On the law of the iterated logarithm, Amer. J. Math.,63, 169–176
work page 1941
-
[12]
Hata, M. and Yamaguti, M. (1984). The Takagi function and its generalization,Japan J. Appl. Math.,1, 183–199
work page 1984
-
[13]
Ibragimov, I. A. (1962). Some limit theorems for stationary processes,Teor. Verojat- nost. i Primenen.,7, 361–392
work page 1962
-
[14]
Kallenberg, O. (2002). Foundations of modern probability, 2nd ed., Springer
work page 2002
-
[15]
Knopp, K. (1956). Infinite Sequences and Series, Dover Publications. New York
work page 1956
-
[16]
Kolmogorov, A. N. (1929). ¨Uber das Gesetz des iterierten Logarithmus,Mathem. Annalen,101, 126–135
work page 1929
-
[17]
Kˆ ono, N. (1987). On generalized Takagi functions,Acta Math. Hungar.,49, 315–324
work page 1987
-
[18]
Marcinkiewicz, J. and Zygmund, A. (1937). Remarque sur la loi du logarithme it´ er´ e, Fund. Math.,29, 215–222
work page 1937
-
[19]
Merlev` ede, F., Peligrad, M. and Utev, S. (2019). Functional Gaussian approximation for dependent structures, Oxford University Press
work page 2019
-
[20]
Nakano, Y. and Takei, M. (2026). Limit theorems for elephant random walks remem- bering the very recent past, with applications to the Takagi–van der Waerden class functions,J. Math. Anal. Appl.,556, 130179
work page 2026
-
[21]
Negishi, H. (1976). A law of the iterated logarithm for weighted sums of mixing sequences of random variables,Science reports of the Yokohama National University, 23, 27–43. ASIP FOR TAKAGI–V AN DER W AERDEN CLASS FUNCTIONS 27
work page 1976
-
[22]
Paley, R. E. A. C. and Wiener, N. (1934). Fourier transforms in the complex domain, Amer. Math. Soc. Colloq. Publ.,19, American Mathematical Society, New York
work page 1934
-
[23]
Philipp, W. and Stout, W. F. (1975). Almost sure invariance principles for partial sums of weakly dependent random variables,Mem. Amer. Math. Soc.,2, 161
work page 1975
-
[24]
Shao, Q.-M. (1993). Almost sure invariance principles for mixing sequences of random variables,Stochastic Process. Appl.,48, 319–334
work page 1993
-
[25]
Stout, W. F. (1974). Almost sure convergence,Probability and Mathematical Statis- tics,24, Academic Press
work page 1974
-
[26]
Strassen, V. (1964). An invariance principle for the law of the iterated logarithm,Z. Wahrscheinlichkeitstheorie und Verw. Gebiete,3,211–226
work page 1964
-
[27]
Strassen, V. (1967). Almost sure behavior of sums of independent random vari- ables and martingales, inProc. Fifth Berkeley Sympos. Math. Statist. and Probability (Berkeley, Calif., 1965/66), Vol. II: Contributions to Probability Theory, Part 1, pp. 315–343, Univ. California Press, Berkeley
work page 1967
-
[28]
Takagi, T. (1903). A simple example of a continuous function without derivative, Phys. Math. Soc. Japan,1, 176–177
work page 1903
-
[29]
van der Waerden, B. L. (1930). Ein einfaches Beispiel einer nicht-differenzierbaren stetigen Funktion,Math. Z.,32, 474–475
work page 1930
-
[30]
Weiss, M. (1959). On the law of the iterated logarithm,J. Math. Mech.,8, 121–132
work page 1959
-
[31]
Yoshihara, K. (1978). Moment inequalities for mixing sequences.Kodai Math. J.,1, 316–325. Graduate School of Engineering Science, Yokohama National University, Yokohama, Japan Email address:nakano-yuzaburo-zg@ynu.jp
work page 1978
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