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Grant: Discovery Grants Program - Individual

University of Alberta

$1,464.00

New developments for partial differential equations; from theory to applications

EF 2016-17

Résumé
The goal of this proposal is to make significant progress in the understanding of the qualitative properties of Nonlinear Partial Differential Equations (PDEs) through a number of collaborations with world leaders on each topic. The theory of PDEs is one of the most fundamental branches of pure mathematics that connects a variety of fields including mathematical analysis and differential geometry. PDEs are present in almost all applications of mathematics, in which they provide a natural mathematical description of phenomena in the physical, natural and social sciences. Roughly speaking, the motion of every particle in nature can be modelled and analyzed by certain PDEs. Most of the PDEs that accurately model natural phenomena are, however, nonlinear. In general, there is no way of writing these solutions explicitly. Nonetheless, it is often possible to investigate the qualitative and quantitative properties of the unknown solutions of PDEs and models arising in Geometry and Mathematical Analysis, Mathematical Biology and Electrical/Mechanical Engineering. This proposal aims to respond to the need in this crucial interdisciplinary research area. From the Geometry and Mathematical Analysis perspective, this proposal is centred on the De Giorgi's conjecture (1978) that was inspired by the Bernstein's problem (1910) in the topic of differential geometry (minimal surfaces). I would like to request funding to work on a few generalizations of the De Giorgi's conjecture, as well as the conjecture itself in dimensions four to eight. Moreover, I am interested in developing the regularity theory for nonlinear eigenvalue problems for all powers (integer and non-integer) of the Laplacian operator. I plan to have collaborations with Nassif Ghoussoub and Juncheng Wei (UBC) who are experts in this field. From the Mathematical Biology perspective, we are interested in analyzing various biological models of PDEs. A significant part of our interest is to establish methods and theories for traveling waves, spreading speeds and propagation phenomena for impulsive reaction-diffusion equation models for species with distinct reproductive and dispersal stages. Mathematically, these models (PDEs) are very interesting because they include both differential and difference equations. In this topic, I plan to collaborate with my colleagues, Mark Lewis and Hao Wang, from The Centre for Mathematical Biology. From the Engineering perspective, we are interested in examining certain aspects of a few models (PDEs) arising in Mechanical and Electrical Engineering. In this direction of research, I would like to establish various Liouville theorems for stationary compressible Navier-Stokes equations. These equations describe the motion of fluid substances. I would like to initiate collaborations with Tai-Peng Tsai and Dong Li (from UBC), Dongho Chae (from Chung-Ang University) and Gregory Seregin (from Oxford). The other model that is of our interest is the Mircro-Electro-Mechanical System (MEMS) model. One of the primary goals in the design of MEMS devices is to optimize the pull-in distance over a certain allowable voltage range that is set by the power supply. Mathematically speaking, MEMS models are interesting because the nonlinearity appearing in these models (PDEs) is inverse square type that is singular. Regarding this model, I would like to launch a joint project with Mojgan Daneshman from the Department of Electrical and Computer Engineering (ECE) to carefully analyze the model.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2014-04153
Name nom
Fazly, Mostafa
Department département
Mathematical and Statistical Sciences
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2014
Award amount
1464
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1508
Committee name en
Mathematics and Statistics
Committee name fr
Mathématiques et statistique
Area of application code
1205
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Mathematical sciences
Area of application fr
Sciences mathématiques
Research subject code
2905
Research subject group en
Pure mathematics
Research subject group fr
Mathématiques pures
Research subject en
Non-linear and global analysis
Research subject fr
Analyse globale et non linéaire
Partie
3
Nb partie
5
Application title
New developments for partial differential equations; from theory to applications
Keyword
NSERC
Application summary
The goal of this proposal is to make significant progress in the understanding of the qualitative properties of Nonlinear Partial Differential Equations (PDEs) through a number of collaborations with world leaders on each topic. The theory of PDEs is one of the most fundamental branches of pure mathematics that connects a variety of fields including mathematical analysis and differential geometry. PDEs are present in almost all applications of mathematics, in which they provide a natural mathematical description of phenomena in the physical, natural and social sciences. Roughly speaking, the motion of every particle in nature can be modelled and analyzed by certain PDEs. Most of the PDEs that accurately model natural phenomena are, however, nonlinear. In general, there is no way of writing these solutions explicitly. Nonetheless, it is often possible to investigate the qualitative and quantitative properties of the unknown solutions of PDEs and models arising in Geometry and Mathematical Analysis, Mathematical Biology and Electrical/Mechanical Engineering. This proposal aims to respond to the need in this crucial interdisciplinary research area. From the Geometry and Mathematical Analysis perspective, this proposal is centred on the De Giorgi's conjecture (1978) that was inspired by the Bernstein's problem (1910) in the topic of differential geometry (minimal surfaces). I would like to request funding to work on a few generalizations of the De Giorgi's conjecture, as well as the conjecture itself in dimensions four to eight. Moreover, I am interested in developing the regularity theory for nonlinear eigenvalue problems for all powers (integer and non-integer) of the Laplacian operator. I plan to have collaborations with Nassif Ghoussoub and Juncheng Wei (UBC) who are experts in this field. From the Mathematical Biology perspective, we are interested in analyzing various biological models of PDEs. A significant part of our interest is to establish methods and theories for traveling waves, spreading speeds and propagation phenomena for impulsive reaction-diffusion equation models for species with distinct reproductive and dispersal stages. Mathematically, these models (PDEs) are very interesting because they include both differential and difference equations. In this topic, I plan to collaborate with my colleagues, Mark Lewis and Hao Wang, from The Centre for Mathematical Biology. From the Engineering perspective, we are interested in examining certain aspects of a few models (PDEs) arising in Mechanical and Electrical Engineering. In this direction of research, I would like to establish various Liouville theorems for stationary compressible Navier-Stokes equations. These equations describe the motion of fluid substances. I would like to initiate collaborations with Tai-Peng Tsai and Dong Li (from UBC), Dongho Chae (from Chung-Ang University) and Gregory Seregin (from Oxford). The other model that is of our interest is the Mircro-Electro-Mechanical System (MEMS) model. One of the primary goals in the design of MEMS devices is to optimize the pull-in distance over a certain allowable voltage range that is set by the power supply. Mathematically speaking, MEMS models are interesting because the nonlinearity appearing in these models (PDEs) is inverse square type that is singular. Regarding this model, I would like to launch a joint project with Mojgan Daneshman from the Department of Electrical and Computer Engineering (ECE) to carefully analyze the model.