Speaker
David Shirokoff, Associate Professor, Department of Mathematical Sciences, New Jersey Institute of Technology
Title
Mathematics Seminar Series
Subtitle
Implicit-Explicit (IMEX) Stability and Applications to the Dispersive Shallow Water Equations
Physical Location
Allen 14
Digital Location
https://msstate.webex.com/msstate/j.php?MTID=mfa641b54f8ec32f6b99cef0d6bbcb76b
Abstract: In this talk we will introduce a new stability theory for implicit-explicit (IMEX) time integration schemes—which treat some terms in a differential equation implicitly (for stability) and others explicitly (for efficiency). Our focus will be on devising new efficient stable schemes for several fluid equations ranging from the incompressible Navier-Stokes equations, nonlinear diffusion equations, and a recent application to the dispersive shallow water equations (DSWE)—which are fluid models, applicable to coastal regions that include additional physics (such as dispersion) to the well-known shallow water equations. The new time-stepping approaches will avoid a fully implicit treatment of nonlinear terms, and in the case of the DSWE, avoid the difficulties created by mixed space and time derivatives while ensuring stability. Throughout the talk we will make use of conformal mappings, the numerical range, and the variational structure of the PDEs. Time permitting, we will also discuss recent work on devising diagonally implicit Runge-Kutta methods that avoid order reduction. Order reduction occurs when an RK scheme converges at a rate lower than the formal order of the scheme thereby seriously limiting the applicability of the method.
Biosketch: Prof. Shirokoff earned his Ph.D. degree from MIT in 2011. Before joining NJIT (as an assistant professor in 2014 and now an associate professor since 2020), he was a postdoctoral fellow at McGill University. His research interests focus on nonlinear PDEs and variational problems, numerical PDEs, energy-driven pattern formation, and fluid mechanics.
If you would like to meet with Dr. Shirokoff, please contact Dr. Vu Thai Luan (luan@math.msstate.edu ; (662)-325-7162).