English

Statistics of two-dimensional random walks, the "cyclic sieving phenomenon" and the Hofstadter model

Statistical Mechanics 2020-03-06 v1 High Energy Physics - Theory Mathematical Physics math.MP

Abstract

We focus on the algebraic area probability distribution of planar random walks on a square lattice with m1m_1, m2m_2, l1l_1 and l2l_2 steps right, left, up and down. We aim, in particular, at the algebraic area generating function Zm1,m2,l1,l2(Q)Z_{m_1,m_2,l_1,l_2}(Q) evaluated at Q=e2\iπqQ=e^{2\i\pi\over q}, a root of unity, when both m1m2m_1-m_2 and l1l2l_1-l_2 are multiples of qq. In the simple case of staircase walks, a geometrical interpretation of Zm,0,l,0(e2iπq)Z_{m,0,l,0}(e^\frac{2i\pi}{q}) in terms of the cyclic sieving phenomenon is illustrated. Then, an expression for Zm1,m2,l1,l2(1)Z_{m_1,m_2,l_1,l_2}(-1), which is relevant to the Stembridge's case, is proposed. Finally, the related problem of evaluating the n-th moments of the Hofstadter Hamiltonian in the commensurate case is addressed.

Keywords

Cite

@article{arxiv.1504.05989,
  title  = {Statistics of two-dimensional random walks, the "cyclic sieving phenomenon" and the Hofstadter model},
  author = {Stefan Mashkevich and Stéphane Ouvry and Alexios Polychronakos},
  journal= {arXiv preprint arXiv:1504.05989},
  year   = {2020}
}

Comments

13 pages, LaTeX 2e