Soit A une matrice dont les entrées sont des variables aléatoires centrées réelles i.i.d. de variance 1 vérifiant une hypothèse adéquate de moment. Alors la plus petite valeur singulière est de l'ordre de avec grande probabilité. La minoration de a été récemment obtenue par les auteurs ; dans cette Note, nous prouvons la majoration.
Let A be a matrix whose entries are real i.i.d. centered random variables with unit variance and suitable moment assumptions. Then the smallest singular value is of order with high probability. The lower estimate of this type was proved recently by the authors; in this Note we establish the matching upper estimate.
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@article{CRMATH_2008__346_15-16_893_0, author = {Rudelson, Mark and Vershynin, Roman}, title = {The least singular value of a random square matrix is $ \mathrm{O}({n}^{-1/2})$}, journal = {Comptes Rendus. Math\'ematique}, pages = {893--896}, publisher = {Elsevier}, volume = {346}, number = {15-16}, year = {2008}, doi = {10.1016/j.crma.2008.07.009}, language = {en}, url = {http://www.numdam.org/articles/10.1016/j.crma.2008.07.009/} }
TY - JOUR AU - Rudelson, Mark AU - Vershynin, Roman TI - The least singular value of a random square matrix is $ \mathrm{O}({n}^{-1/2})$ JO - Comptes Rendus. Mathématique PY - 2008 SP - 893 EP - 896 VL - 346 IS - 15-16 PB - Elsevier UR - http://www.numdam.org/articles/10.1016/j.crma.2008.07.009/ DO - 10.1016/j.crma.2008.07.009 LA - en ID - CRMATH_2008__346_15-16_893_0 ER -
%0 Journal Article %A Rudelson, Mark %A Vershynin, Roman %T The least singular value of a random square matrix is $ \mathrm{O}({n}^{-1/2})$ %J Comptes Rendus. Mathématique %D 2008 %P 893-896 %V 346 %N 15-16 %I Elsevier %U http://www.numdam.org/articles/10.1016/j.crma.2008.07.009/ %R 10.1016/j.crma.2008.07.009 %G en %F CRMATH_2008__346_15-16_893_0
Rudelson, Mark; Vershynin, Roman. The least singular value of a random square matrix is $ \mathrm{O}({n}^{-1/2})$. Comptes Rendus. Mathématique, Tome 346 (2008) no. 15-16, pp. 893-896. doi : 10.1016/j.crma.2008.07.009. http://www.numdam.org/articles/10.1016/j.crma.2008.07.009/
[1] Eigenvalues and condition numbers of random matrices, SIAM J. Matrix Anal. Appl., Volume 9 (1988), pp. 543-560
[2] The Littlewood–Offord problem and invertibility of random matrices, Adv. Math., Volume 218 (2008), pp. 600-633
[3] M. Rudelson, R. Vershynin, The smallest singular value of a random rectangular matrix, submitted for publication
[4] Collected Works, vol. V: Design of Computers, Theory of Automata and Numerical Analysis (Taub, A.H., ed.), A Pergamon Press Book The Macmillan Co., New York, 1963
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