Eigenvalue distributions of random permutation matrices
By K. Wieand. 2000
50 citations recorded by the source corpus.
Subfields: Applied Mathematics, Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a265826d6519bfab0c6d0040035d03173624f08a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
In Artificial Intelligence
- Persi Diaconis
- Neil O'Connell
- Marc Coram
- Ali H. Sayed
- Nathaniel Thiem
- Anders O. F. Hendrickson
- MARK A. Beaumont
- Adrian Röllin
In Statistics and Probability
- Neil O'Connell
- Persi Diaconis
- Jim Pitman
- Marc Coram
- Richard Arratia
- Alexander V. Gnedin
- Alexei Borodin
- Ivan Corwin
Citations in the corpus
- Logarithmic Combinatorial Structures: A Probabilistic Approach (2003, background): “Connections between the eigenvalues of a random permutation matrix (which are determined by the cycle structure of the permutation), the eigenvalues of a random unitary matrix and the Riemann zeta function are uncovered by Wieand (1998, 2000) and Hambly et al. (1999).”
- New tests of the correspondence between unitary eigenvalues and the zeros of Riemann's zeta function (2000, background): “Wieand [59] has proved that for large n, a random element of Sn has eigenvalues which obey the limiting normal distribution with correlations given by theorem 3.”
- PATTERNS IN EIGENVALUES: THE 70TH JOSIAH WILLARD GIBBS LECTURE (2003, methodology): “A second test may be based on strange correlations found by Kelly Wieand [96], [97].”
- Patterns in eigenvalues: the 70th Josiah Willard Gibbs lecture (2003, methodology): “A second test may be based on strange correlations found by Kelly Wieand [96], [97].”