1. Local spectral statistics of the addition of random matrices
- Author
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Benjamin Landon and Ziliang Che
- Subjects
Statistics and Probability ,Discrete mathematics ,Probability (math.PR) ,010102 general mathematics ,FOS: Physical sciences ,Mathematical Physics (math-ph) ,Unitary matrix ,01 natural sciences ,010104 statistics & probability ,Unitary group ,Diagonal matrix ,FOS: Mathematics ,Orthogonal group ,Limit (mathematics) ,0101 mathematics ,Statistics, Probability and Uncertainty ,Random matrix ,Mathematics - Probability ,Mathematical Physics ,Analysis ,Brownian motion ,Eigenvalues and eigenvectors ,Mathematics - Abstract
We consider the local statistics of $$H = V^* X V + U^* Y U$$ where V and U are independent Haar-distributed unitary matrices, and X and Y are deterministic real diagonal matrices. In the bulk, we prove that the gap statistics and correlation functions coincide with the GUE in the limit when the matrix size $$N \rightarrow \infty $$ under mild assumptions on X and certain rigidity assumptions on Y (the latter being an assumption on the convergence of the eigenvalues of Y to the quantiles of its limiting spectral measure which we assume to have a density). Our method relies on running a carefully chosen diffusion on the unitary group and comparing the resulting eigenvalue process to Dyson Brownian motion. Our method also applies to the case when V and U are drawn from the orthogonal group. Our proof relies on the local law for H proved in Bao et al. (Commun Math Phys 349(3):947–990, 2017; J Funct Anal 271(3):672–719, 2016; Adv Math 319:251–291, 2017) as well as the DBM convergence results of Landon and Yau (Commun Math Phys 355(3):949–1000, 2017) and Landon et al. (Adv Math 346:1137–1332, 2019).
- Published
- 2019
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