The method of perpendiculars of finding estimates from below for minimal singular eigenvalues of random matrices
2018 ◽
Vol 26
(2)
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pp. 117-123
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Keyword(s):
Abstract The lower bounds for the minimal singular eigenvalue of the matrix are obtained under the G-Lindeberg condition and the G-double stochastic condition for the variances of the matrix entries. The new method is based on the G-method of perpendiculars, the REFORM method, the martingale method, and the theory of canonical spectral equations.
2019 ◽
Vol 27
(3)
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pp. 167-175
Keyword(s):
2020 ◽
Vol 28
(2)
◽
pp. 131-162
2019 ◽
Vol 22
(04)
◽
pp. 1950024
2003 ◽
pp. 360-369
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Keyword(s):