Universality limits in the bulk for varying measures
By Eli Levin, Doron S. Lubinsky. 2008
80 citations recorded by the source corpus.
Subfields: Applied Mathematics, Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f934f8b1959b524d1a42e99ce2e19c946e2daba3
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
- L. Erdős
- K. Mclaughlin
- Horng-Tzer Yau
- Peter D. Miller
- Doron S. Lubinsky
- Andrei Martínez-Finkelshtein
- Arno B. J. Kuijlaars
- Evguenii Rakhmanov
In Mathematical Physics
In Statistics and Probability
- L. Erdős
- Horng-Tzer Yau
- Jun Yin
- K. Mclaughlin
- Doron S. Lubinsky
- Peter D. Miller
- Ji Oon Lee
- Antti Knowles
Citations in the corpus
- The Steepest Descent Method for Orthogonal Polynomials on the Real Line with Varying Weights (2008, methodology): “For example, a recently introduced method (based on a comparison principle for Christoffel functions) of Levin and Lubinsky has been quite successful in establishing Asymptotic Result 2 [14] under extremely weak global conditions on the external field V and stronger local conditions (but still far f”
- Universality limits in the bulk for arbitrary measures on compact sets (2008, methodology): “The methods of this paper may also be applied to varying weights [ 14 ].”
- Bulk universality for Wigner matrices (2009, unknown): “[15, 16, 4, 2, 5, 6, 14] and references therein).”
- A Dynamical Approach to Random Matrix Theory (2017, methodology): “An alternative method was presented in [98,101] using more direct methods from orthogonal polynomials.”
- Random matrices: Universality of local eigenvalue statistics (2009, unknown): “(See [35] for some recent developments concerning these models, which are studied using the machinery of orthogonal polynomials.”
- Universality of Wigner random matrices: a survey of recent results (2010, methodology): “An alternative method was presented in [68, 67] using more direct methods from orthogonal polynomials.”