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Almost Sure Localization of the Eigenvalues in a Gaussian Information Plus Noise Model. Application to the Spiked Models.


 
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1. Title Title of document Almost Sure Localization of the Eigenvalues in a Gaussian Information Plus Noise Model. Application to the Spiked Models.
 
2. Creator Author's name, affiliation, country Philippe Loubaton; Université Paris-Est Marne-la-Vallée; France
 
2. Creator Author's name, affiliation, country Pascal Vallet; Université Paris-Est Marne-la-Vallée; France
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) random matrix theory; gaussian information plus noise model; localization of the eigenvalues; spiked models
 
3. Subject Subject classification 15B52; 60F15
 
4. Description Abstract Let $S$ be a $M$ times $N$ random matrix defined by $S = B + \sigma W$ where $B$ is a uniformly bounded deterministic matrix and where $W$ is an independent identically distributed complex Gaussian matrix with zero mean and variance $1/N$ entries. The purpose of this paper is to study the almost sure location of the eigenvalues of the Gram matrix $SS^*$ when $M$ and $N$ converge to infinity such that the ratio $M/N$ converges towards a constant $c > 0$. The results are used in order to derive, using an alternative approach, known results concerning the behavior of the largest eigenvalues of $SS^*$ when the rank of $B$ remains fixed and $M$ and $N$ converge to infinity.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) This work was partially supported by the French program ANR-07-MDCO-012-01
 
7. Date (YYYY-MM-DD) 2011-10-20
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ejp.ejpecp.org/article/view/943
 
10. Identifier Digital Object Identifier 10.1214/EJP.v16-943
 
11. Source Journal/conference title; vol., no. (year) Electronic Journal of Probability; Vol 16
 
12. Language English=en
 
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