--- _id: '10862' abstract: - lang: eng text: We consider the sum of two large Hermitian matrices A and B with a Haar unitary conjugation bringing them into a general relative position. We prove that the eigenvalue density on the scale slightly above the local eigenvalue spacing is asymptotically given by the free additive convolution of the laws of A and B as the dimension of the matrix increases. This implies optimal rigidity of the eigenvalues and optimal rate of convergence in Voiculescu's theorem. Our previous works [4], [5] established these results in the bulk spectrum, the current paper completely settles the problem at the spectral edges provided they have the typical square-root behavior. The key element of our proof is to compensate the deterioration of the stability of the subordination equations by sharp error estimates that properly account for the local density near the edge. Our results also hold if the Haar unitary matrix is replaced by the Haar orthogonal matrix. acknowledgement: Partially supported by ERC Advanced Grant RANMAT No. 338804. article_number: '108639' article_processing_charge: No article_type: original author: - first_name: Zhigang full_name: Bao, Zhigang id: 442E6A6C-F248-11E8-B48F-1D18A9856A87 last_name: Bao orcid: 0000-0003-3036-1475 - first_name: László full_name: Erdös, László id: 4DBD5372-F248-11E8-B48F-1D18A9856A87 last_name: Erdös orcid: 0000-0001-5366-9603 - first_name: Kevin full_name: Schnelli, Kevin last_name: Schnelli citation: ama: Bao Z, Erdös L, Schnelli K. Spectral rigidity for addition of random matrices at the regular edge. Journal of Functional Analysis. 2020;279(7). doi:10.1016/j.jfa.2020.108639 apa: Bao, Z., Erdös, L., & Schnelli, K. (2020). Spectral rigidity for addition of random matrices at the regular edge. Journal of Functional Analysis. Elsevier. https://doi.org/10.1016/j.jfa.2020.108639 chicago: Bao, Zhigang, László Erdös, and Kevin Schnelli. “Spectral Rigidity for Addition of Random Matrices at the Regular Edge.” Journal of Functional Analysis. Elsevier, 2020. https://doi.org/10.1016/j.jfa.2020.108639. ieee: Z. Bao, L. Erdös, and K. Schnelli, “Spectral rigidity for addition of random matrices at the regular edge,” Journal of Functional Analysis, vol. 279, no. 7. Elsevier, 2020. ista: Bao Z, Erdös L, Schnelli K. 2020. Spectral rigidity for addition of random matrices at the regular edge. Journal of Functional Analysis. 279(7), 108639. mla: Bao, Zhigang, et al. “Spectral Rigidity for Addition of Random Matrices at the Regular Edge.” Journal of Functional Analysis, vol. 279, no. 7, 108639, Elsevier, 2020, doi:10.1016/j.jfa.2020.108639. short: Z. Bao, L. Erdös, K. Schnelli, Journal of Functional Analysis 279 (2020). date_created: 2022-03-18T10:18:59Z date_published: 2020-10-15T00:00:00Z date_updated: 2023-08-24T14:08:42Z day: '15' department: - _id: LaEr doi: 10.1016/j.jfa.2020.108639 ec_funded: 1 external_id: arxiv: - '1708.01597' isi: - '000559623200009' intvolume: ' 279' isi: 1 issue: '7' keyword: - Analysis language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1708.01597 month: '10' oa: 1 oa_version: Preprint project: - _id: 258DCDE6-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '338804' name: Random matrices, universality and disordered quantum systems publication: Journal of Functional Analysis publication_identifier: issn: - 0022-1236 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Spectral rigidity for addition of random matrices at the regular edge type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 279 year: '2020' ... --- _id: '10867' abstract: - lang: eng text: In this paper we find a tight estimate for Gromov’s waist of the balls in spaces of constant curvature, deduce the estimates for the balls in Riemannian manifolds with upper bounds on the curvature (CAT(ϰ)-spaces), and establish similar result for normed spaces. acknowledgement: ' Supported by the Russian Foundation for Basic Research grant 18-01-00036.' article_processing_charge: No article_type: original author: - first_name: Arseniy full_name: Akopyan, Arseniy id: 430D2C90-F248-11E8-B48F-1D18A9856A87 last_name: Akopyan orcid: 0000-0002-2548-617X - first_name: Roman full_name: Karasev, Roman last_name: Karasev citation: ama: Akopyan A, Karasev R. Waist of balls in hyperbolic and spherical spaces. International Mathematics Research Notices. 2020;2020(3):669-697. doi:10.1093/imrn/rny037 apa: Akopyan, A., & Karasev, R. (2020). Waist of balls in hyperbolic and spherical spaces. International Mathematics Research Notices. Oxford University Press. https://doi.org/10.1093/imrn/rny037 chicago: Akopyan, Arseniy, and Roman Karasev. “Waist of Balls in Hyperbolic and Spherical Spaces.” International Mathematics Research Notices. Oxford University Press, 2020. https://doi.org/10.1093/imrn/rny037. ieee: A. Akopyan and R. Karasev, “Waist of balls in hyperbolic and spherical spaces,” International Mathematics Research Notices, vol. 2020, no. 3. Oxford University Press, pp. 669–697, 2020. ista: Akopyan A, Karasev R. 2020. Waist of balls in hyperbolic and spherical spaces. International Mathematics Research Notices. 2020(3), 669–697. mla: Akopyan, Arseniy, and Roman Karasev. “Waist of Balls in Hyperbolic and Spherical Spaces.” International Mathematics Research Notices, vol. 2020, no. 3, Oxford University Press, 2020, pp. 669–97, doi:10.1093/imrn/rny037. short: A. Akopyan, R. Karasev, International Mathematics Research Notices 2020 (2020) 669–697. date_created: 2022-03-18T11:39:30Z date_published: 2020-02-01T00:00:00Z date_updated: 2023-08-24T14:19:55Z day: '01' department: - _id: HeEd doi: 10.1093/imrn/rny037 external_id: arxiv: - '1702.07513' isi: - '000522852700002' intvolume: ' 2020' isi: 1 issue: '3' keyword: - General Mathematics language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1702.07513 month: '02' oa: 1 oa_version: Preprint page: 669-697 publication: International Mathematics Research Notices publication_identifier: eissn: - 1687-0247 issn: - 1073-7928 publication_status: published publisher: Oxford University Press quality_controlled: '1' scopus_import: '1' status: public title: Waist of balls in hyperbolic and spherical spaces type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 2020 year: '2020' ... --- _id: '9799' abstract: - lang: eng text: Fitness interactions between mutations can influence a population’s evolution in many different ways. While epistatic effects are difficult to measure precisely, important information is captured by the mean and variance of log fitnesses for individuals carrying different numbers of mutations. We derive predictions for these quantities from a class of simple fitness landscapes, based on models of optimizing selection on quantitative traits. We also explore extensions to the models, including modular pleiotropy, variable effect sizes, mutational bias and maladaptation of the wild type. We illustrate our approach by reanalysing a large dataset of mutant effects in a yeast snoRNA. Though characterized by some large epistatic effects, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have limited influence on the evolutionary dynamics in this system. We also show how the amount of epistasis depends on both the underlying fitness landscape and the distribution of mutations, and so is expected to vary in consistent ways between new mutations, standing variation and fixed mutations. article_processing_charge: No author: - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: John J. full_name: Welch, John J. last_name: Welch citation: ama: Fraisse C, Welch JJ. Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes. 2020. doi:10.6084/m9.figshare.7957469.v1 apa: Fraisse, C., & Welch, J. J. (2020). Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes. Royal Society of London. https://doi.org/10.6084/m9.figshare.7957469.v1 chicago: Fraisse, Christelle, and John J. Welch. “Simulation Code for Fig S1 from the Distribution of Epistasis on Simple Fitness Landscapes.” Royal Society of London, 2020. https://doi.org/10.6084/m9.figshare.7957469.v1. ieee: C. Fraisse and J. J. Welch, “Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes.” Royal Society of London, 2020. ista: Fraisse C, Welch JJ. 2020. Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes, Royal Society of London, 10.6084/m9.figshare.7957469.v1. mla: Fraisse, Christelle, and John J. Welch. Simulation Code for Fig S1 from the Distribution of Epistasis on Simple Fitness Landscapes. Royal Society of London, 2020, doi:10.6084/m9.figshare.7957469.v1. short: C. Fraisse, J.J. Welch, (2020). date_created: 2021-08-06T11:26:57Z date_published: 2020-10-15T00:00:00Z date_updated: 2023-08-25T10:34:41Z day: '15' department: - _id: BeVi - _id: NiBa doi: 10.6084/m9.figshare.7957469.v1 main_file_link: - open_access: '1' url: https://doi.org/10.6084/m9.figshare.7957469.v1 month: '10' oa: 1 oa_version: Published Version publisher: Royal Society of London related_material: record: - id: '6467' relation: used_in_publication status: public status: public title: Simulation code for Fig S1 from the distribution of epistasis on simple fitness landscapes type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2020' ... --- _id: '9798' abstract: - lang: eng text: Fitness interactions between mutations can influence a population’s evolution in many different ways. While epistatic effects are difficult to measure precisely, important information is captured by the mean and variance of log fitnesses for individuals carrying different numbers of mutations. We derive predictions for these quantities from a class of simple fitness landscapes, based on models of optimizing selection on quantitative traits. We also explore extensions to the models, including modular pleiotropy, variable effect sizes, mutational bias and maladaptation of the wild type. We illustrate our approach by reanalysing a large dataset of mutant effects in a yeast snoRNA. Though characterized by some large epistatic effects, these data give a good overall fit to the non-epistatic null model, suggesting that epistasis might have limited influence on the evolutionary dynamics in this system. We also show how the amount of epistasis depends on both the underlying fitness landscape and the distribution of mutations, and so is expected to vary in consistent ways between new mutations, standing variation and fixed mutations. article_processing_charge: No author: - first_name: Christelle full_name: Fraisse, Christelle id: 32DF5794-F248-11E8-B48F-1D18A9856A87 last_name: Fraisse orcid: 0000-0001-8441-5075 - first_name: John J. full_name: Welch, John J. last_name: Welch citation: ama: Fraisse C, Welch JJ. Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes. 2020. doi:10.6084/m9.figshare.7957472.v1 apa: Fraisse, C., & Welch, J. J. (2020). Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes. Royal Society of London. https://doi.org/10.6084/m9.figshare.7957472.v1 chicago: Fraisse, Christelle, and John J. Welch. “Simulation Code for Fig S2 from the Distribution of Epistasis on Simple Fitness Landscapes.” Royal Society of London, 2020. https://doi.org/10.6084/m9.figshare.7957472.v1. ieee: C. Fraisse and J. J. Welch, “Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes.” Royal Society of London, 2020. ista: Fraisse C, Welch JJ. 2020. Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes, Royal Society of London, 10.6084/m9.figshare.7957472.v1. mla: Fraisse, Christelle, and John J. Welch. Simulation Code for Fig S2 from the Distribution of Epistasis on Simple Fitness Landscapes. Royal Society of London, 2020, doi:10.6084/m9.figshare.7957472.v1. short: C. Fraisse, J.J. Welch, (2020). date_created: 2021-08-06T11:18:15Z date_published: 2020-10-15T00:00:00Z date_updated: 2023-08-25T10:34:41Z day: '15' department: - _id: BeVi - _id: NiBa doi: 10.6084/m9.figshare.7957472.v1 main_file_link: - open_access: '1' url: https://doi.org/10.6084/m9.figshare.7957472.v1 month: '10' oa: 1 oa_version: Published Version publisher: Royal Society of London related_material: record: - id: '6467' relation: used_in_publication status: public status: public title: Simulation code for Fig S2 from the distribution of epistasis on simple fitness landscapes type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2020' ... --- _id: '6488' abstract: - lang: eng text: We prove a central limit theorem for the difference of linear eigenvalue statistics of a sample covariance matrix W˜ and its minor W. We find that the fluctuation of this difference is much smaller than those of the individual linear statistics, as a consequence of the strong correlation between the eigenvalues of W˜ and W. Our result identifies the fluctuation of the spatial derivative of the approximate Gaussian field in the recent paper by Dumitru and Paquette. Unlike in a similar result for Wigner matrices, for sample covariance matrices, the fluctuation may entirely vanish. article_number: '2050006' article_processing_charge: No article_type: original author: - first_name: Giorgio full_name: Cipolloni, Giorgio id: 42198EFA-F248-11E8-B48F-1D18A9856A87 last_name: Cipolloni orcid: 0000-0002-4901-7992 - first_name: László full_name: Erdös, László id: 4DBD5372-F248-11E8-B48F-1D18A9856A87 last_name: Erdös orcid: 0000-0001-5366-9603 citation: ama: 'Cipolloni G, Erdös L. Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. Random Matrices: Theory and Application. 2020;9(3). doi:10.1142/S2010326320500069' apa: 'Cipolloni, G., & Erdös, L. (2020). Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. Random Matrices: Theory and Application. World Scientific Publishing. https://doi.org/10.1142/S2010326320500069' chicago: 'Cipolloni, Giorgio, and László Erdös. “Fluctuations for Differences of Linear Eigenvalue Statistics for Sample Covariance Matrices.” Random Matrices: Theory and Application. World Scientific Publishing, 2020. https://doi.org/10.1142/S2010326320500069.' ieee: 'G. Cipolloni and L. Erdös, “Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices,” Random Matrices: Theory and Application, vol. 9, no. 3. World Scientific Publishing, 2020.' ista: 'Cipolloni G, Erdös L. 2020. Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices. Random Matrices: Theory and Application. 9(3), 2050006.' mla: 'Cipolloni, Giorgio, and László Erdös. “Fluctuations for Differences of Linear Eigenvalue Statistics for Sample Covariance Matrices.” Random Matrices: Theory and Application, vol. 9, no. 3, 2050006, World Scientific Publishing, 2020, doi:10.1142/S2010326320500069.' short: 'G. Cipolloni, L. Erdös, Random Matrices: Theory and Application 9 (2020).' date_created: 2019-05-26T21:59:14Z date_published: 2020-07-01T00:00:00Z date_updated: 2023-08-28T08:38:48Z day: '01' department: - _id: LaEr doi: 10.1142/S2010326320500069 ec_funded: 1 external_id: arxiv: - '1806.08751' isi: - '000547464400001' intvolume: ' 9' isi: 1 issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1806.08751 month: '07' oa: 1 oa_version: Preprint project: - _id: 258DCDE6-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '338804' name: Random matrices, universality and disordered quantum systems - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: 'Random Matrices: Theory and Application' publication_identifier: eissn: - '20103271' issn: - '20103263' publication_status: published publisher: World Scientific Publishing quality_controlled: '1' scopus_import: '1' status: public title: Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 9 year: '2020' ...