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Division of Mathematical Sciences

Analysis

CONTACTS

Name Email Phone Room
Assen  L. Dontchev adontche@nsf.gov (703) 292-8584  1025 N  
Jane  P. Gilman jgilman@nsf.gov (703) 292-4872   
Joe  W. Jenkins jjenkins@nsf.gov (703) 292-4870  1025 N  
Bruce  Palka bpalka@nsf.gov (703) 292-4856  1025 N  

PROGRAM GUIDELINES

Apply to PD 04-1281 in FastLane. (standard Grant Proposal Guidelines) apply.)

Please be advised that the NSF Proposal & Award Policies & Procedures Guide (PAPPG) includes revised guidelines to implement the mentoring provisions of the America COMPETES Act (ACA) (Pub. L. No. 110-69, Aug. 9, 2007.) As specified in the ACA, each proposal that requests funding to support postdoctoral researchers must include a description of the mentoring activities that will be provided for such individuals. Proposals that do not comply with this requirement will be returned without review (see the PAPP Guide Part I: Grant Proposal Guide Chapter II for further information about the implementation of this new requirement).

DUE DATES

Full Proposal Target Date:  October 6, 2009

First Tuesday in October, Annually Thereafter

SYNOPSIS

The Analysis Program supports basic research in that area of mathematics whose roots can be traced to the calculus of Newton and Leibniz.  Given its centuries-old ties to physics, analysis has influenced developments from Newton’s mechanics to quantum mechanics and from Fourier’s study of heat conduction to Maxwell’s equations of electromagnetism to Witten’s theory of supersymmetry.  More generally, research supported by Analysis provides the theoretical underpinning for the majority of applications of the mathematical sciences to other scientific disciplines.  Current areas of significant activity include: nonlinear partial differential equations; dynamical systems and ergodic theory; real, complex and harmonic analysis; operator theory and algebras of operators on Hilbert space; mathematical physics; and representation theory of Lie groups/algebras.  Emerging areas include random matrix theory and its ties to classical analysis, number theory, quantum mechanics, and coding theory; and development of noncommutative geometry with its applications to modeling physical phenomena.  It should be stressed, however, that the underlying role of the Analysis Program is to provide support for research in mathematics at the most fundamental level.  Although this is often done with the expectation that the research will generate a payoff in applications at some point down the road, the principal mission of the Program is to tend and replenish an important reservoir of mathematical knowledge, maintaining it as a dependable resource to be drawn upon by engineers, life and physical scientists, and other mathematical scientists, as need arises.

 

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Last Updated:
December 10, 2008
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Last Updated: December 10, 2008