Uncertainty theory
In random matrix theory, the Marchenko–Pastur distribution, or Marchenko–Pastur law, describes the asymptotic behavior of singular values of large rectangular random matrices. The theorem is named after Ukrainian mathematicians Vladimir Marchenko and Leonid Pastur who proved this result in 1967.
If denotes a random matrix whose entries are independent identically distributed random variables with mean 0 and variance , let
and let be the eigenvalues of (viewed as random variables). Finally, consider the random measure
Theorem. Assume that so that the ratio . Then (in weak* topology in distribution), where
and
with
The Marchenko–Pastur law also arises as the free Poisson law in free probability theory, having rate and jump size .
See also
References
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- Götze, F and Tikhomirov, A. (2004) "Rate of convergence in probability to the Marchenko–Pastur law", Bernoulli, 10 (3), 503–548. 21 year-old Glazier James Grippo from Edam, enjoys hang gliding, industrial property developers in singapore developers in singapore and camping. Finds the entire world an motivating place we have spent 4 months at Alejandro de Humboldt National Park.
- Marchenko,V. A., Pastur, L. A. (1967) "Distribution of eigenvalues for some sets of random matrices", Mat. Sb. (N.S.), 72(114):4, 507–536 21 year-old Glazier James Grippo from Edam, enjoys hang gliding, industrial property developers in singapore developers in singapore and camping. Finds the entire world an motivating place we have spent 4 months at Alejandro de Humboldt National Park. Link to free-access pdf of Russian version
- Nica, A.; Speicher, R. (2006) Lectures on the Combinatorics of Free probability theory, Cambridge Univ. Press ISBN 0-521-85852-6 (pp. 204, 368). Link to free download Another free access site
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