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June 2010 Products of random matrices: Dimension and growth in norm
Vladislav Kargin
Ann. Appl. Probab. 20(3): 890-906 (June 2010). DOI: 10.1214/09-AAP658

Abstract

Suppose that X1, …, Xn, … are i.i.d. rotationally invariant N-by-N matrices. Let Πn=XnX1. It is known that n−1log |Πn| converges to a nonrandom limit. We prove that under certain additional assumptions on matrices Xi the speed of convergence to this limit does not decrease when the size of matrices, N, grows.

Citation

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Vladislav Kargin. "Products of random matrices: Dimension and growth in norm." Ann. Appl. Probab. 20 (3) 890 - 906, June 2010. https://doi.org/10.1214/09-AAP658

Information

Published: June 2010
First available in Project Euclid: 18 June 2010

zbMATH: 1200.15022
MathSciNet: MR2680552
Digital Object Identifier: 10.1214/09-AAP658

Subjects:
Primary: 15A52
Secondary: 60B10

Keywords: Furstenberg–Kesten theorem , random matrices

Rights: Copyright © 2010 Institute of Mathematical Statistics

Vol.20 • No. 3 • June 2010
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