Published August 2019
| Version Published + Submitted
Journal Article
Open
Rescaling Ward Identities in the Random Normal Matrix Model
Creators
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1.
Lund University
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2.
Korea Institute for Advanced Study
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3.
California Institute of Technology
Abstract
We study spacing distribution for the eigenvalues of a random normal matrix, in particular at points on the boundary of the spectrum. Our approach uses Ward's (or the "rescaled loop") equation—an identity satisfied by all sequential limits of the rescaled one-point functions.
Additional Information
© 2018 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Received: 18 September 2017; Revised: 12 February 2018; Accepted: 26 February 2018; First Online: 02 April 2018. Nam-Gyu Kang was supported by Samsung Science and Technology Foundation (SSTF-BA1401-01). Nikolai Makarov was supported by NSF Grant No. 1500821. We thank Alexei Borodin and Misha Sodin for their interest. We also thank Aron Wennman, Seong-Mi Seo, Hee-Joon Tak, and Sungsoo Byun for careful reading and much appreciated help with improving this manuscript.Attached Files
Published - Ameur2019_Article_RescalingWardIdentitiesInTheRa.pdf
Submitted - 1410.4132.pdf
Files
1410.4132.pdf
Additional details
Identifiers
- Eprint ID
- 85563
- Resolver ID
- CaltechAUTHORS:20180402-110529752
Related works
- Describes
- https://arxiv.org/abs/1410.4132 (URL)
Funding
- Samsung Science and Technology Foundation
- SSTF-BA1401-01
- NSF
- DMS-1500821
Dates
- Created
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2018-04-02Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field