English

Fractal dimensions of the Markov and Lagrange spectra near $3$

Number Theory 2023-11-07 v2 Dynamical Systems

Abstract

The Lagrange spectrum L\mathcal{L} and Markov spectrum M\mathcal{M} are subsets of the real line with complicated fractal properties that appear naturally in the study of Diophantine approximations. It is known that the Hausdorff dimension of the intersection of these sets with any half-line coincide, that is, dimH(L(,t))=dimH(M(,t)):=d(t)\mathrm{dim}_{\mathrm{H}}(\mathcal{L} \cap (-\infty, t)) = \mathrm{dim}_{\mathrm{H}}(\mathcal{M} \cap (-\infty, t)):= d(t) for every t0t \geq 0. It is also known that d(3)=0d(3)=0 and d(3+ε)>0d(3+\varepsilon)>0 for every ε>0\varepsilon>0. We show that, for sufficiently small values of ε>0\varepsilon > 0, one has the approximation d(3+ε)=2W(ec0logε)logε+O(loglogεlogε2)d(3+\varepsilon) = 2\cdot\frac{W(e^{c_0}|\log \varepsilon|)}{|\log \varepsilon|}+\mathrm{O}\left(\frac{\log |\log \varepsilon|}{|\log \varepsilon|^2}\right), where WW denotes the Lambert function (the inverse of f(x)=xexf(x)=xe^x) and c0=loglog((3+5)/2)0.0383c_0=-\log\log((3+\sqrt{5})/2) \approx 0.0383. We also show that this result is optimal for the approximation of d(3+ε)d(3+\varepsilon) by "reasonable" functions, in the sense that, if F(t)F(t) is a C2C^2 function such that d(3+ε)=F(ε)+o(loglogεlogε2)d(3+\varepsilon) = F(\varepsilon) + \mathrm{o}\left(\frac{\log |\log \varepsilon|}{|\log \varepsilon|^2}\right), then its second derivative F(t)F''(t) changes sign infinitely many times as tt approaches 00.

Keywords

Cite

@article{arxiv.2208.14830,
  title  = {Fractal dimensions of the Markov and Lagrange spectra near $3$},
  author = {Harold Erazo and Carlos Gustavo Moreira and Rodolfo Gutiérrez-Romo and Sergio Romaña},
  journal= {arXiv preprint arXiv:2208.14830},
  year   = {2023}
}

Comments

65 pages, one appendix. Major revision containing many more details and fixing mistakes