Stochastics and Dynamics: Asymptotic Problems
May 6-9, 2010
MATH Building,
3rd floor colloquium room (3206).
REGISTRATION REQUESTED
Confirmed participants can RSVP and provide the additional requested information about their stay.
This workshop is partially supported by The Institute for Mathematics and Its Applications (IMA). Extra travel support may be available for particpants from IMA affiliated institutions.
ORGANIZING COMMITTEE
RSVP REQUESTED
Confirmed participants can RSVP and provide the additional requested information about their stay.
SCIENTIFIC BACKGROUND
Stochastic dynamics has become increasingly important in many areas of science and technology. It is an important tool in modeling of uncertainty in many biological, physical and chemical systems and in engineering applications. It also provides important insight in the analysis of partial differential equations.
The unifying theme of this conference is an emphasis on asymptotic problems where there is a strong interaction between the underlying deterministic structure and the stochastic behavior.
This includes problems where the stochastic component is a small perturbation of an underlying deterministic dynamics and problems where new phenomena appear as a result of a balance between stochastic and deterministic mixing and phase space transport. In particular, we'll consider problems where small stochastic perturbations lead to large deterministic effects and problems where small deterministic perturbations lead to stochasticity.
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GOALS
The goal of this conference to familiarize participants with the recent developments in the stochastic analysis. The conference will feature the following special sessions
- Small perturbations of dynamical systems
- Homogenization of PDE
- Polymers
There also will be plenty of time for informal discussions in order to foster collaborations between workers in different areas of stochastic analysis.
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CONFIRMED PARTICIPANTS
Name |
Affiliation |
Kenneth Alexander* |
University of Southern California |
Avanti Athreya |
SAMSI/Duke University |
Yuri Bakhtin* |
Georgia Institute of Technology |
Guillaume Bal * |
Columbia University |
Banu Baydil |
RPI |
Mike Cranston* |
University of California, Irvine |
Manfred Denker |
Penn State University |
Oliver Diaz Espinosa |
Duke University |
Dimitry Dolgopyat* |
University of Maryland |
Markus Fischer |
Brown University |
Mark Freidlin* |
University of Maryland |
Cecilia Gonzalez Tokman |
University of Maryland |
Boumediene Hamzi |
Duke University |
Weining Kang |
University of Maryland, Baltimore County |
Konstantin Khanin* |
University of Toronto |
Kunwoo Kim |
University of Illinois at Urbana Champaign |
Hyejin Kim |
Institute for Mathematics and Its Applications |
Tiffany Kolba |
Duke University |
Leonid Koralov* |
University of Maryland |
Elena Kosygina |
Baruch College |
Junchi Li |
Duke Unievrsity |
Wenbo Li |
University of Delaware |
Jonathan Mattingly* |
Duke University |
Scott McKinley |
Duke University |
Stanislav Molchanov* |
University of North Carolina at Charlotte |
Jim Nolen* |
Duke University |
Alexei Novikov |
Penn State University |
William Pachas |
University of Califonia, Irvine |
Jun Hyun Park |
Brown University |
Lenya Ryzhik* |
Stanford University |
Konstantinos Spiliopoulos |
Brown University |
Nicola Squartini |
University of California, Irvine |
Eitan Tadmor |
University of Maryland |
Vladislav Vysotsky |
University of Delaware |
Ang Wei |
University of Rochester |
Zhi Zheng |
UIUC |
* Speaker |
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FUNDING
A limited amount of funding for participants at all levels is available, especially for researchers in the early
stages of their career who want to attend the full workshop.
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INFORMATION FOR PARTICIPANTS
CSCAMM Visitor Guide: home.cscamm.umd.edu/visitors
CONTACT
Center for Scientific Computation And Mathematical Modeling (CSCAMM)
Computer Science Instructional Center (Building #406)
University of Maryland, College Park
College Park, MD 20742-3289
Email:
Web: /programs/asa10
ACKNOWLEDGMENT
This conference is supported by NSF collaborative grant Stochastics and Dynamics: Asymptotic problems and by IMA.
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