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Gaussian fluctuation for linear eigenvalue statistics of large dilute Wigner matrices
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作者 XIE JunShan 《Science China Mathematics》 SCIE 2014年第6期1221-1236,共16页
This paper focuses on the dilute real symmetric Wigner matrix Mn=1/√n(aij)n×n, whose offdiagonal entries aij (1 ≤ em ≠ j ≤ n) have mean zero and unit variance, Eaij4 =θnα (θ 〉 0) and the fifth momen... This paper focuses on the dilute real symmetric Wigner matrix Mn=1/√n(aij)n×n, whose offdiagonal entries aij (1 ≤ em ≠ j ≤ n) have mean zero and unit variance, Eaij4 =θnα (θ 〉 0) and the fifth moments of aij satisfy a Lindeberg type condition. When the dilute parameter 0 〈 α ≤ 1/3 and the test function satisfies some regular conditions, it proves that the centered linear eigenvalue statistics of Mn obey the central limit theorem. 展开更多
关键词 dilute Wigner matrices linear eigenvalue statistics central limit theorem
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