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Gaussian fluctuations for linear spectral statistics of deformed Wigner matrices

机译:变形Wigner矩阵线性光谱统计的高斯波动

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We consider large-dimensional Hermitian or symmetric random matrices of the form W = M + theta V, where M is a Wigner matrix and V is a real diagonal matrix whose entries are independent of M. For a large class of diagonal matrices V, we prove that the fluctuations of linear spectral statistics of W for C-2 test function can be decomposed into that of M and of V, and that each of those weakly converges to a Gaussian distribution. We also calculate the formulae for the means and variances of the limiting distributions.
机译:我们考虑形式的大维隐士或对称随机矩阵W = M + Theta v,其中M是Wigner矩阵,V是一个真实的对角矩阵,其条目与M.对于大类对角矩阵v,我们 据证明,C-2测试函数的线性光谱统计的波动可以分解为M和V的M和V的那些,并且每个那些弱收敛到高斯分布。 我们还计算了限制分布的装置和差异的公式。

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