Abstract
With $\mathcal{Q}_{q,n}$ the distribution of $n$ minus the rank of a matrix chosen uniformly from the collection of all $n\times(n+m)$ matrices over the finite field $\mathbb{F}_{q}$ of size $q\ge2$, and $\mathcal{Q}_{q}$ the distributional limit of $\mathcal{Q}_{q,n}$ as $n\rightarrow\infty$, we apply Stein’s method to prove the total variation bound
\[\frac{1}{8q^{n+m+1}}\leq\|\mathcal{Q}_{q,n}-\mathcal{Q}_{q}\|_{\mathrm{TV}}\leq\frac{3}{q^{n+m+1}}.\] In addition, we obtain similar sharp results for the rank distributions of symmetric, symmetric with zero diagonal, skew symmetric, skew centrosymmetric and Hermitian matrices.
Citation
Jason Fulman. Larry Goldstein. "Stein’s method and the rank distribution of random matrices over finite fields." Ann. Probab. 43 (3) 1274 - 1314, May 2015. https://doi.org/10.1214/13-AOP889
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