English

Volumes for ${\rm SL}_N(\mathbb R)$, the Selberg integral and random lattices

Mathematical Physics 2016-04-27 v1 math.MP Probability

Abstract

There is a natural left and right invariant Haar measure associated with the matrix groups GLN(R){}_N(\mathbb R) and SLN(R){}_N(\mathbb R) due to Siegel. For the associated volume to be finite it is necessary to truncate the groups by imposing a bound on the norm, or in the case of SLN(R){}_N(\mathbb R), by restricting to a fundamental domain. We compute the asymptotic volumes associated with the Haar measure for GLN(R){}_N(\mathbb R) and SLN(R){}_N(\mathbb R) matrices in the case of that the operator norm lies between R1R_1 and 1/R21/R_2 in the former, and this norm, or alternatively the 2-norm, is bounded by RR in the latter. By a result of Duke, Rundnick and Sarnak, such asymptotic formulas in the case of SLN(R){}_N(\mathbb R) imply an asymptotic counting formula for matrices in SLN(Z){}_N(\mathbb Z). We discuss too the sampling of SLN(R){}_N(\mathbb R) matrices from the truncated sets. By then using lattice reduction to a fundamental domain, we obtain histograms approximating the probability density functions of the lengths and pairwise angles of shortest length bases vectors in the case N=2N=2 and 3, or equivalently of shortest linearly independent vectors in the corresponding random lattice. In the case N=2N=2 these distributions are evaluated explicitly.

Keywords

Cite

@article{arxiv.1604.07462,
  title  = {Volumes for ${\rm SL}_N(\mathbb R)$, the Selberg integral and random lattices},
  author = {Peter J. Forrester},
  journal= {arXiv preprint arXiv:1604.07462},
  year   = {2016}
}

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23 pages