Mathematics – Probability
Scientific paper
2006-01-18
Annals of Probability 2006, Vol. 34, No. 4, 1497-1529
Mathematics
Probability
Published at http://dx.doi.org/10.1214/009117906000000205 in the Annals of Probability (http://www.imstat.org/aop/) by the Ins
Scientific paper
10.1214/009117906000000205
We solve an open problem of Diaconis that asks what are the largest orders of $p_n$ and $q_n$ such that $Z_n,$ the $p_n\times q_n$ upper left block of a random matrix $\boldsymbol{\Gamma}_n$ which is uniformly distributed on the orthogonal group O(n), can be approximated by independent standard normals? This problem is solved by two different approximation methods. First, we show that the variation distance between the joint distribution of entries of $Z_n$ and that of $p_nq_n$ independent standard normals goes to zero provided $p_n=o(\sqrt{n})$ and $q_n=o(\sqrt{n})$. We also show that the above variation distance does not go to zero if $p_n=[x\sqrt{n} ]$ and $q_n=[y\sqrt{n} ]$ for any positive numbers $x$ and $y$. This says that the largest orders of $p_n$ and $q_n$ are $o(n^{1/2})$ in the sense of the above approximation. Second, suppose $\boldsymbol{\Gamma}_n=(\gamma_{ij})_{n\times n}$ is generated by performing the Gram--Schmidt algorithm on the columns of $\bold{Y}_n=(y_{ij})_{n\times n}$, where $\{y_{ij};1\leq i,j\leq n\}$ are i.i.d. standard normals. We show that $\epsilon_n(m):=\max_{1\leq i\leq n,1\leq j\leq m}|\sqrt{n}\cdot\gamma_{ij}-y_{ij}|$ goes to zero in probability as long as $m=m_n=o(n/\log n)$. We also prove that $\epsilon_n(m_n)\to 2\sqrt{\alpha}$ in probability when $m_n=[n\alpha/\log n]$ for any $\alpha>0.$ This says that $m_n=o(n/\log n)$ is the largest order such that the entries of the first $m_n$ columns of $\boldsymbol{\Gamma}_n$ can be approximated simultaneously by independent standard normals.
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