Mathematical Analysis of Partial Differential Equations Modeling Electrostatic MEMSShare this page
Pierpaolo Esposito; Nassif Ghoussoub; Yujin Guo
A co-publication of the AMS and the Courant Institute of Mathematical Sciences at New York University
Nassif Ghoussoub is the winner of the 2010 CMS David Borwein
Micro- and nanoelectromechanical systems (MEMS and NEMS), which combine electronics with miniature-size mechanical devices, are essential components of modern technology. It is the mathematical model describing “electrostatically actuated” MEMS that is addressed in this monograph. Even the simplified models that the authors deal with still lead to very interesting second- and fourth-order nonlinear elliptic equations (in the stationary case) and to nonlinear parabolic equations (in the dynamic case). While nonlinear eigenvalue problems—where the stationary MEMS models fit—are a well-developed field of PDEs, the type of inverse square nonlinearity that appears here helps shed a new light on the class of singular supercritical problems and their specific challenges.
Besides the practical considerations, the model is a rich source of interesting mathematical phenomena. Numerics, formal asymptotic analysis, and ODE methods give lots of information and point to many conjectures. However, even in the simplest idealized versions of electrostatic MEMS, one essentially needs the full available arsenal of modern PDE techniques to do the required rigorous mathematical analysis, which is the main objective of this volume. This monograph could therefore be used as an advanced graduate text for a motivational introduction to many recent methods of nonlinear analysis and PDEs through the analysis of a set of equations that have enormous practical significance.
Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.
Table of Contents
Table of Contents
Mathematical Analysis of Partial Differential Equations Modeling Electrostatic MEMS
Graduate students and research mathematicians interested in PDEs and applications.