{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","keyword":["Central limit theorem","universality","matrix Dyson equation","multi-resolvent local law"],"citation":{"apa":"Lee, J., & Erdös, L. (n.d.). Mesoscopic eigenvalue statistics for correlated random matrices. https://doi.org/10.48550/arXiv.2607.05848","ieee":"J. Lee and L. Erdös, “Mesoscopic eigenvalue statistics for correlated random matrices.” .","short":"J. Lee, L. Erdös, (n.d.).","mla":"Lee, Jaehun, and László Erdös. Mesoscopic Eigenvalue Statistics for Correlated Random Matrices. 2607.05848, doi:10.48550/arXiv.2607.05848.","chicago":"Lee, Jaehun, and László Erdös. “Mesoscopic Eigenvalue Statistics for Correlated Random Matrices,” n.d. https://doi.org/10.48550/arXiv.2607.05848.","ama":"Lee J, Erdös L. Mesoscopic eigenvalue statistics for correlated random matrices. doi:10.48550/arXiv.2607.05848","ista":"Lee J, Erdös L. Mesoscopic eigenvalue statistics for correlated random matrices. 2607.05848."},"ec_funded":1,"day":"07","oa_version":"Preprint","OA_type":"green","publication_status":"submitted","_id":"22359","title":"Mesoscopic eigenvalue statistics for correlated random matrices","fulldoi":"https://doi.org/10.48550/arXiv.2607.05848","article_number":"2607.05848","language":[{"iso":"eng"}],"doi":"10.48550/arXiv.2607.05848","project":[{"call_identifier":"H2020","_id":"62796744-2b32-11ec-9570-940b20777f1d","grant_number":"101020331","name":"Random matrices beyond Wigner-Dyson-Mehta"}],"oa":1,"external_id":{"arxiv":["2607.05848"]},"month":"07","status":"public","das_tickbox":"1","date_created":"2026-07-18T08:59:02Z","arxiv":1,"acknowledgement":"Supported by ERC Advanced Grant “RMTBeyond” No. 101020331","article_processing_charge":"No","date_updated":"2026-07-20T10:55:10Z","author":[{"id":"96155047-f36a-11ef-b766-8b5ae7cecd49","last_name":"Lee","full_name":"Lee, Jaehun","first_name":"Jaehun"},{"id":"4DBD5372-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5366-9603","last_name":"Erdös","first_name":"László","full_name":"Erdös, László"}],"year":"2026","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2607.05848","open_access":"1"}],"department":[{"_id":"LaEr"}],"type":"preprint","abstract":[{"lang":"eng","text":"We prove a mesoscopic central limit theorem for linear eigenvalue statistics of correlated Hermitian random matrices. The class considered here includes Wigner and Wigner-type matrices, as well as models whose entry correlations decay polynomially in the distance between index pairs. The proof combines a multivariate cumulant expansion with multi-resolvent local laws and a detailed analysis of the resulting variance kernel on the operator-level."}],"corr_author":"1","OA_place":"repository","date_published":"2026-07-07T00:00:00Z"}