Multiplicative chaos and the characteristic polynomial of the CUE: The $L^1$-phase
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- by Miika Nikula, Eero Saksman and Christian Webb PDF
- Trans. Amer. Math. Soc. 373 (2020), 3905-3965 Request permission
Abstract:
In this article we prove that suitable positive powers of the absolute value of the characteristic polynomial of a Haar distributed random unitary matrix converge in law, as the size of the matrix tends to infinity, to a Gaussian multiplicative chaos measure once correctly normalized. We prove this in the whole $L^1$- or subcritical phase of the chaos measure.References
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Additional Information
- Miika Nikula
- Affiliation: Department of Computer Science, Aalto University, P.O. Box 15400, 00076 Aalto, Finland
- MR Author ID: 1048451
- Email: miika.nikula@gmail.com
- Eero Saksman
- Affiliation: Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway; and University of Helsinki, Department of Mathematics and Statistics, P.O. Box 68 , FIN-00014 University of Helsinki, Finland
- MR Author ID: 315983
- Email: eero.saksman@helsinki.fi
- Christian Webb
- Affiliation: Department of mathematics and systems analysis, Aalto University, P.O. Box 11000, 00076 Aalto, Finland
- MR Author ID: 963768
- Email: christian.webb@aalto.fi
- Received by editor(s): August 28, 2018
- Received by editor(s) in revised form: July 4, 2019, and August 28, 2019
- Published electronically: March 2, 2020
- Additional Notes: The second author was supported by the Academy of Finland CoE ‘Analysis and Dynamics’, as well as the Academy of Finland Project ‘Conformal methods in analysis and random geometry’.
The third author was supported by the Academy of Finland grants 288318 and 308123. - © Copyright 2020 American Mathematical Society
- Journal: Trans. Amer. Math. Soc. 373 (2020), 3905-3965
- MSC (2010): Primary 60B20; Secondary 15B05, 60G57
- DOI: https://doi.org/10.1090/tran/8020
- MathSciNet review: 4105514