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TZID:America/Detroit
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TZOFFSETFROM:-0500
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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20211021T181543
DTSTART;TZID=America/Detroit:20211025T160000
DTEND;TZID=America/Detroit:20211025T170000
SUMMARY:Workshop / Seminar:Integrable Systems and Random Matrix Theory Seminar
DESCRIPTION:We will consider the scaling limits of polynomial reproducing kernels for measures on the real line. For many years there has been considerable research to find the weakest assumptions that one can place on a measure that allows one to prove that these rescaled kernels converge to the sinc kernel. Our main result will provide the weakest conditions that have yet been found. In particular\, it will demonstrate that one only needs local conditions on the measure. We will also settle a conjecture of Avila\, Last\, and Simon by showing that convergence holds at almost every point in the essential support of the absolutely continuous part of the measure. Speaker(s): Brian Simanek (Baylor University)
UID:86914-21637560@events.umich.edu
URL:https://events.umich.edu/event/86914
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:Off Campus Location - ZOOM ID: 926 6491 9790
CONTACT:
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