研究
Changhui Tan

Changhui Tan

I am a postdoctoral research associate in CSCAMM and Department of Mathematics, University of Maryland. 

星期一, 09 2月 2015 23:45

Lovett instructor of Mathematics

I have recently accepted a 3-year Lovett instructor of Mathematics in Rice University. I will work with Professor Alex Kiselev. 

 

Jose A. Carrillo, Young-Pil Choi, Eitan Tadmor, and Changhui Tan

Mathematical Models and Methods in Applied Sciences, Volume 26, No 1, pp. 185-206 (2016).


Abstract

We study the critical thresholds for the compressible pressureless Euler equations with pairwise attractive or repulsive interaction forces and non-local alignment forces in velocity in one dimension. We provide a complete description for the critical threshold to the system without interaction forces leading to a sharp dichotomy condition between global-in-time existence or finite-time blowup of strong solutions. When the interaction forces are considered, we also give a classification of the critical thresholds according to the different type of interaction forces. We also remark on global-in-time existence when the repulsion is modeled by the isothermal pressure law.


   doi:10.1142/S0218202516500068
  Download the Published Version

 

Changhui Tan

Mathematical Models and Methods in Applied Sciences, Volume 27, No 7, pp. 1199-1221 (2017).


Abstract

We study kinetic representations of flocking models. They arise from agent-based models for self-organized dynamics, such as Cucker–Smale [Emergent behaviors in flocks, IEEE Trans. Autom. Control. 52 (2007) 852–862] and Motsch–Tadmor [A new model for self-organized dynamics and its flocking behavior, J. Statist. Phys. 144 (2011) 923– 947] models. We first establish a well-posedness theory and large-time flocking behavior for the kinetic systems, which indicates a concentration in velocity variable in infinite time. We then apply a discontinuous Galerkin method to treat the asymptotic \(\delta\)-singularity, and construct high-order positive-preserving schemes to solve kinetic flocking systems.


   doi:10.1142/S0218202517400139
 Download the Published Version
星期六, 01 3月 2008 00:28

Curriculum Vitae

 

Education

2008 – 2014 Applied Mathematics and Scientific Computing (AMSC) Program
   University of Maryland, College Park
Doctor of Philosophy, Major: Applied Mathematics
2004 – 2008 Department of Scientific and Engineering Computing
   School of Mathematical Sciences, Peking University
Bachelor of Science, Major: Applied Mathematics
2005 – 2008 National School of Development
   Peking University
A Double Major in Economics, Bachelor of Science
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