Random Matrix Theory and Its Innovative Applications
Name
random_matrix_theory_innovative.pdf
Size
3.24 MB
Format
Adobe PDF
Checksum (MD5)
cbd1807926e3e5682472b083123d1c13
Author(s)
Edelman, Alan
Wang, Yuyang
Date Issued
2013
Journal
Advances in Applied Mathematics, Modeling, and Computational Science
Publisher
Springer Science+Business Media
Citation
Edelman, Alan and Yuyang Wang. “Random Matrix Theory and Its Innovative Applications.” Fields Institute Communications: Advances in Applied Mathematics, Modeling, and Computational Science (2013): 91–116 © 2013 Springer Science+Business Media
Version
Author's final manuscript
Abstract
Recently more and more disciplines of science and engineering have found Random Matrix Theory valuable. Some disciplines use the limiting densities to indicate the cutoff between "noise" and "signal." Other disciplines are finding eigenvalue repulsions a compelling model of reality. This survey introduces both the theory behind these applications and MATLAB experiments allowing a reader immediate access to the ideas. Keywords:
computational science; dynamic blocking problems; elliptic curves; mathematical modeling; random matrix theory
MIT Department
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/978-1-4614-5389-5_5
