Mathematical Analysis of Partial Differential Equations Modelling Electrostatic MEMS

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A01=Nassif Ghoussoub
A01=Pierpaolo Esposito
A01=Yujin Gao
Author_Nassif Ghoussoub
Author_Pierpaolo Esposito
Author_Yujin Gao
Category=PBKJ
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eq_isMigrated=2
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Product details

  • ISBN 9780821849576
  • Weight: 605g
  • Publication Date: 30 May 2010
  • Publisher: American Mathematical Society
  • Publication City/Country: US
  • Product Form: Paperback
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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.
Pierpaolo Esposito, Università degli Studi Roma Tre, Rome, Italy

Nassif Ghoussoub, University of British Columbia, Vancouver, BC, Canada

Yujin Guo, University of Minnesota, Minneapolis, MN, USA

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