--- title: "Random matrices from the Ginibre ensemble" date: 2019-03-20 --- ** Ginibre ensemble and its properties The /Ginibre ensemble/ is a set of random matrices with the entries chosen independently. Each entry of a $n \times n$ matrix is a complex number, with both the real and imaginary part sampled from a normal distribution of mean zero and variance $1/2n$. Random matrices distributions are very complex and are a very active subject of research. I stumbled on this example while reading an article in /Notices of the AMS/ by Brian C. Hall [[ref-1][(1)]]. Now what is interesting about these random matrices is the distribution of their $n$ eigenvalues in the complex plane. The [[https://en.wikipedia.org/wiki/Circular_law][circular law]] (first established by Jean Ginibre in 1965 [[ref-2][(2)]]) states that when $n$ is large, with high probability, almost all the eigenvalues lie in the unit disk. Moreover, they tend to be nearly uniformly distributed there. I find this mildly fascinating that such a straightforward definition of a random matrix can exhibit such non-random properties in their spectrum. ** Simulation I ran a quick simulation, thanks to [[https://julialang.org/][Julia]]'s great ecosystem for linear algebra and statistical distributions: #+begin_src julia using LinearAlgebra using UnicodePlots function ginibre(n) return randn((n, n)) * sqrt(1/2n) + im * randn((n, n)) * sqrt(1/2n) end v = eigvals(ginibre(2000)) scatterplot(real(v), imag(v), xlim=[-1.5,1.5], ylim=[-1.5,1.5]) #+end_src I like using =UnicodePlots= for this kind of quick-and-dirty plots, directly in the terminal. Here is the output: [[../images/ginibre.png]] ** References 1. <>Hall, Brian C. 2019. "Eigenvalues of Random Matrices in the General Linear Group in the Large-$N$ Limit." /Notices of the American Mathematical Society/ 66, no. 4 (Spring): 568-569. https://www.ams.org/journals/notices/201904/201904FullIssue.pdf 2. <>Ginibre, Jean. "Statistical ensembles of complex, quaternion, and real matrices." Journal of Mathematical Physics 6.3 (1965): 440-449. https://doi.org/10.1063/1.1704292