Random matrix ensembles with split limiting behavior

Author:

Burkhardt Paula1,Cohen Peter2,DeWitt Jonathan3,Hlavacek Max4,Miller Steven J.5,Sprunger Carsten6,Vu Yen Nhi Truong7,Peski Roger Van8,Yang Kevin9

Affiliation:

1. Department of Mathematics, Pomona College, Claremont, CA 91711, USA

2. Department of Mathematics, Bowdoin College, Brunswick, ME 04011, USA

3. Department of Mathematics and Statistics, Haverford College, Haverford, PA 19041, USA

4. Department of Mathematics, Harvey Mudd College, Claremont, CA 91711, USA

5. Department of Mathematics and Statistics, Williams College, Williamstown, MA 01267, USA

6. Department of Mathematics, University of Michigan, Ann Arbor, MI 48109, USA

7. Department of Mathematics and Statistics, Amherst College, Amherst, MA 01002, USA

8. Department of Mathematics, Princeton University, Princeton, NJ 08544, USA

9. Department of Mathematics, Harvard University, Cambridge, MA 02138, USA

Abstract

We introduce a new family of [Formula: see text] random real symmetric matrix ensembles, the [Formula: see text]-checkerboard matrices, whose limiting spectral measure has two components which can be determined explicitly. All but [Formula: see text] eigenvalues are in the bulk, and their behavior, appropriately normalized, converges to the semi-circle as [Formula: see text]; the remaining [Formula: see text] are tightly constrained near [Formula: see text] and their distribution converges to the [Formula: see text] hollow GOE ensemble (this is the density arising by modifying the GOE ensemble by forcing all entries on the main diagonal to be zero). Similar results hold for complex and quaternionic analogues. We are able to isolate each regime separately through appropriate choices of weight functions for the eigenvalues and then an analysis of the resulting combinatorics.

Publisher

World Scientific Pub Co Pte Lt

Subject

Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Statistics and Probability,Algebra and Number Theory

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