Explore >> Select a destination
|
You are here 
|
nm.mathforcollege.com | ||
| | | | |
blog.autarkaw.com
|
|
| | | | | ||
| | | | |
eklausmeier.goip.de
|
|
| | | | | ||
| | | | |
alok.github.io
|
|
| | | | | Alok Singh's Blog | |
| | | | |
djalil.chafai.net
|
|
| | | The Girko circular law theorem states that if \( {X} \) is a \( {n\times n} \) random matrix with independent and identically distributed entries (i.i.d) of variance \( {1/n} \) then the empirical measure \[ \frac{1}{n}\sum_{i=1}^n\delta_{\lambda_i(X)} \] made with the eigenvalues of \( {X} \), converges, as the dimension \( {n} \) tends to infinity, to the uniform law... | ||
