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Polynomial Convolutions and (finite) free probability Marcus, Adam
Description
My talk will discuss ongoing work in developing finite random matrix techniques that have been motivated by free probability. The key player on the finite side of the correspondence will be the characteristic polynomial. I will show that certain binary operations on polynomials converge to the free additive and multiplicative convolutions and how one can use these operations to make statements about discrete, finite matrix ensembles that exhibit "free-like" behavior. In particular, I will introduce a free probability analogue of the "Poisson paradigm," as introduced by Alon and Spencer in their book on Probabilistic Combinatorics.
Item Metadata
Title |
Polynomial Convolutions and (finite) free probability
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2016-12-06T09:00
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Description |
My talk will discuss ongoing work in developing finite random matrix techniques that have been motivated by free probability. The key player on the finite side of the correspondence will be the characteristic polynomial. I will show that certain binary operations on polynomials converge to the free additive and multiplicative convolutions and how one can use these operations to make statements about discrete, finite matrix ensembles that exhibit "free-like" behavior. In particular, I will introduce a free probability analogue of the "Poisson paradigm," as introduced by Alon and Spencer in their book on Probabilistic Combinatorics.
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Extent |
51 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Princeton University
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Series | |
Date Available |
2017-05-15
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0347457
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International