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Jeremy Quastel

Professor, Department of Mathematics

University of Toronto

HQ Phone:  (416) 978-2700

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I agree to the Terms of Service and Privacy Policy. I understand that I will receive a subscription to ZoomInfo Community Edition at no charge in exchange for downloading and installing the ZoomInfo Contact Contributor utility which, among other features, involves sharing my business contacts as well as headers and signature blocks from emails that I receive.

University of Toronto

1 King's College Circle Medical Sciences Building Room 7358

Toronto, Ontario,M5S 1A8

Canada

Company Description

The University of Toronto provides accommodation for students with documented disabilities as established by the Ontario Human Rights Code (OHRC), the Accessibility for Ontarians with Disabilities Act (AODA), and the University of Toronto's Statement of Commit...more

Background Information

Employment History

Associate Editor

Institute of Mathematical Statistics


Affiliations

School of Graduate Studies

Full Member


Math and Science Partnership

Board Member


Canadian Mathematical Society

Board Member


Sloan

Fellow


Education

PhD

Courant Institute at New York University


PhD

McGill University


Web References(31 Total References)


Plenary Speakers

www.icmp12.com [cached]

Jeremy Quastel , University of Toronto


www.artsci.utoronto.ca

Jeremy Quastel, Acting Chair, Mathematics


www.fairvote.ca

Jeremy Quastel, Professor, Department of Mathematics, University of Toronto


www.claymath.org

Jeremy Quastel (University of Toronto)


www.simonsfoundation.org

But while smooth curves can easily be squared or divided, distributions do not submit to these arithmetic operations. “No object in the equations makes any sense classically,� said Jeremy Quastel, a professor of mathematics at the University of Toronto.
For decades, mathematicians strove for a rigorous method of operating on distributions in order to solve SPDEs but made little headway. There are even published books that present incorrect procedures for doing so, Quastel said, “which is not something you would normally have in mathematics.â€� Hairer’s big idea came to him in October 2011 while he was walking from the common room of the Warwick math department back to his office and thinking about nothing in particular. He suddenly realized that he could tame the distributions in SPDEs using an approach modeled on the mathematical properties of “waveletsâ€� â€" brief, heartbeatlike oscillations that encode information in JPEG and MP3 files. Although dozens of mathematicians in Hairer’s immediate research area are learning his theory, some experts fear that it is too technically challenging to gain widespread use. “There is a worry that it won’t have the impact it deserves, not through any fault of Martin’s but just because the simplest way that one can deal with this type of problem is just too difficult to be popularizable,â€� said Quastel, who joked to colleagues that the theory must have been a dispatch from aliens. The power of regularity structures is easily understood, but when Hairer actually delves into how the theory works in talks and papers, Quastel said, “he loses his audience a little bit.â€�


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