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首页> 外文期刊>Theory of probability and its applications >COMPACT LAW OF THE ITERATED LOGARITHM FOR MATRIX-NORMALIZED SUMS OF RANDOM VECTORS
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COMPACT LAW OF THE ITERATED LOGARITHM FOR MATRIX-NORMALIZED SUMS OF RANDOM VECTORS

机译:矩阵范数求和的迭代对数的紧律。

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Let (Xn)n>j be a sequence of independent centered random vectors in Rd We give conditions under which the sequence Sn = JZJLj Xi normalized by a matricial sequence (Hn) satisfies a compact law of the iterated logarithm. As an application of this result, we obtain the I/O 1/2 compact law of the iterated logarithm for Bn Sn and for An Sn, where Bn is the covariance matrix of Sn, and where An is the diagonal matrix whose jth diagonal term is the jth diagonal term of Bn; the eigenvalues of Bn may go to infinity with different rates, but their iterated logarithms have to be equivalent.
机译:令(Xn)n> j是Rd中独立居中的随机向量的序列。我们给出条件,其中通过矩阵序列(Hn)归一化的序列Sn = JZJLj Xi满足迭代对数的紧定律。作为该结果的应用,我们获得了Bn Sn和An Sn的迭代对数的I / O 1/2紧定律,其中Bn是Sn的协方差矩阵,其中An是第j个对角项的对角矩阵是Bn的第j个对角线项; Bn的特征值可能以不同的速率达到无穷大,但它们的迭代对数必须相等。

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