arXiv · 2108.05413
The Smallest Singular Value of a Shifted Random Matrix
Abstract
Let $R_n$ be a $n \times n$ random matrix with i.i.d. subgaussian entries. Let $M$ be a $n \times n$ deterministic matrix with norm $\lVert M \rVert \le n^\gamma$ where $1/2<\gamma<1$. The goal of this paper is to give a general estimate of the smallest singular value of the sum $R_n + M$, which improves an earlier result of Tao and Vu.
Explore related subjects
Keep this discovery
Xiaoyu Dong. 2021-08-11. The Smallest Singular Value of a Shifted Random Matrix. https://arxiv.org/abs/2108.05413
Cite the original work for its findings. Save a collection to share your selection of sources.