1965
DOI: 10.1137/1110002
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On Limit Theorems for the Product of Random Matrices

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Cited by 93 publications
(48 citation statements)
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“…84 This theorem states that the Lyapunov exponents of products of a finite number of random matrices are random numbers whose distribution approaches Gaussian for large sample lengths.…”
Section: Construction and Simulation Of Random Networkmentioning
confidence: 99%
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“…84 This theorem states that the Lyapunov exponents of products of a finite number of random matrices are random numbers whose distribution approaches Gaussian for large sample lengths.…”
Section: Construction and Simulation Of Random Networkmentioning
confidence: 99%
“…We calculated 624 disorder realizations for any combination of M = 20, 40, 60, 80, 100, 120, 140, 160, 180, 200 and x = 0.08/12 · [0, 1, 2, 3,4,5,6,7,8,9,10,11,12] for fixed L = 5 000 000. Our goal is to check whether the central limit theorem 84 also works in the case of randomness of the network or not. Fig.…”
Section: Weights and Errorsmentioning
confidence: 99%
“…These results involved stationary measures and eventually led to a general analysis of noncommutative "large numbers" phenomena on semisimple Lie groups. Some representative works are Furstenberg [12,13], Grenander [17], Guivarc'h [18], Guivarc'h et al [19] and Tutubalin [27], and the bibliographies there.…”
Section: Introductionmentioning
confidence: 99%
“…Rather than calculating the LEs for very long chains, one can obtain them for a large number N r of shorter chains of length L. Then, by calculating the ensemble average LE " and its standard deviation and making use of the central limit theorem [18], the error of " can be estimated…”
mentioning
confidence: 99%