English

Limiting Curlicue Measures for Theta Sums

Dynamical Systems 2009-05-08 v1 Number Theory

Abstract

We consider the ensemble of curves {γα,N:α(0,1],NN}\{\gamma_{\alpha,N}:\alpha\in(0,1],N\in\N\} obtained by linearly interpolating the values of the normalized theta sum N1/2n=0N1exp(πin2α)N^{-1/2}\sum_{n=0}^{N'-1}\exp(\pi i n^2\alpha), 0N<N0\leq N'<N. We prove the existence of limiting finite-dimensional distributions for such curves as NN\to\infty, with respect to an absolutely continuous probability measure μR\mu_R on (0,1](0,1]. Our Main Theorem generalizes a result by Marklof and Jurkat and van Horne. Our proof relies on the analysis of the geometric structure of such curves, which exhibit spiral-like patterns (curlicues) at different scales. We exploit a renormalization procedure constructed by means of the continued fraction expansion of α\alpha with even partial quotients and a renewal-type limit theorem for the denominators of such continued fraction expansions.

Keywords

Cite

@article{arxiv.0905.1092,
  title  = {Limiting Curlicue Measures for Theta Sums},
  author = {Francesco Cellarosi},
  journal= {arXiv preprint arXiv:0905.1092},
  year   = {2009}
}

Comments

36 pages, 3 figures, submitted to Ann. Inst. Henri Poincare' Probab. Stat

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