# Mathematics Colloquia and Seminars

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### Inhomogeneous circular laws for random matrices with non-identically distributed entries

**Mathematical Physics & Probability**

Speaker: | Nick Cook, Stanford |

Related Webpage: | https://web.stanford.edu/~nickcook/ |

Location: | 2112 MSB |

Start time: | Wed, Apr 19 2017, 4:10PM |

An iid matrix $X_n$ is an $n\times n$ random matrix with independent,centered entries of unit variance. The celebrated circular law states that in the large $n$ limit, the eigenvalues of $X_n/\sqrt{n}$ distribute themselves uniformly over the unit disk in the complex plane. In this talk we discuss generalizations of the circular law to random matrices with a variance profile. That is, we consider a random matrix $Y_n$ obtained by rescaling the entries of $X_n$ by (deterministic) standard deviations $\sigma_{ij}\in [0,1]$, which may vary with $i,j$. Under mild assumptions on the variance profile we determine the asymptotic spectral distribution for $Y_n$. Key components of the proof are bounds on the smallest singular value for diagonal perturbations of $Y_n$, and quantitative analysis of solutions to a system of Schwingerâ€“Dyson equations. Based on joint work with Walid Hachem, Jamal Najim and David Renfrew.