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HAL-ENS-LYON
Conference object . 2023
Data sources: HAL-ENS-LYON
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HAL-ENS-LYON
Conference object . 2023
Data sources: HAL-ENS-LYON
https://doi.org/10.4171/8ecm/3...
Part of book or chapter of book . 2023 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2021
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Bernoulli random matrices

Authors: Guionnet, Alice;

Bernoulli random matrices

Abstract

Random Matrix theory has become a field on its own with a breadth of new results, techniques, and ideas in the last thirty years. In these proceedings of the 8ECM 2021, I illustrate some of these advances by describing what is known about the spectrum and the eigenvectors of Bernoulli matrices.

Country
France
Keywords

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Mathematics Subject Classification 2020. Primary 60B20, Secondary 05C80 Random matrices, Probability (math.PR), FOS: Mathematics, Mathematics - Probability, Random graphs

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green