Math @ Duke

James Nolen, Assistant Professor
 Contact Info:
Teaching (Spring 2014):
 MATH 230.03, PROBABILITY
Synopsis
 Gray 228, WF 08:30 AM09:45 AM
 (also crosslisted as STA 230.03)
 MATH 557.01, INTRODUCTION TO PDE
Synopsis
 Physics 205, WF 10:05 AM11:20 AM
Teaching (Fall 2014):
 MATH 340.01, ADVANCED INTRO PROBABILITY
Synopsis
 Physics 205, TuTh 03:05 PM04:20 PM
 (also crosslisted as STA 231.01)
 Office Hours:
 Mondays 2:304:00, Thursdays 1:453:15.
 Education:
PhD  University of Texas at Austin  2006 
BS  Davidson College  2000 
 Specialties:

Applied Math
Analysis Probability
 Research Interests: Partial differential equations, stochastic processes, random media, applied mathematics, asymptotic analysis
I study partial differential equations, which have been used to model many phenomena in the natural sciences and engineering. In many cases, the parameters for such equations are known only approximately, or they may have fluctuations that are best described statistically. So, I am especially interested in equations modeling random phenomena and whether one can describe the statistical properties of the solution to these equations. For example, I have worked on nonlinear partial differential equations that describe waves and moving interfaces in random media. This work involves ideas from both analysis and probability.
 Areas of Interest:
partial differential equations stochastic processes asymptotic analysis homogenization theory front propagation reactiondiffusion equations
 Current Ph.D. Students
(Former Students)
 Representative Publications
(More Publications)
 J. Nolen and L. Ryzhik, Traveling waves in a onedimensional heterogeneous medium,
Annales de l'institut Henri Poincare  Analyse Non Lineaire, vol. 26 no. 3
(2009),
pp. 10211047 [pdf]
 A. Mellet, J. Nolen, J.M. Roquejoffre, and L. Ryzhik, Stability of generalized transition fronts,
Comm. PDE, vol. 34 no. 6
(2009),
pp. 521552 [pdf]
 J. Nolen and J. Xin, Asymptotic Spreading of KPP Reactive Fronts in Incompressible SpaceTime Random Flows,
Annales de l'institut Henri Poincare  Analyse Non Lineaire, vol. 26 no. 3
(2009),
pp. 815839 [pdf]
 J. Nolen, G. Papanicolaou, O. Pironneau, A Framework for Adaptive Multiscale Methods for Elliptic Problems,
SIAM Multiscale Modeling and Simulation, vol. 7
(2008),
pp. 171196, SIAM [pdf]
 Selected Grant Support
 AMCSS: Analysis of Fluctuations for PDEs with Random Coefficients, National Science Foundation, DMS1007572.


dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
 
Mathematics Department
Duke University, Box 90320
Durham, NC 277080320

