Grant: Discovery Grants Program - Individual
University of Ontario Institute of Technology
$12,000.00
Bifurcation theory of differential equations with symmetry
FY 2014-15
Summary
Differential equation models are at the foundation of many theoretical advances in all the sciences. Differential equations describe the rate of change of the observed quantities and solutions form a dynamical system. Symmetry is observed in many natural phenomena; it is one of the main unifying ideas in science. Symmetry can be coded in differential equation models and predictions based on these models have shown their validity and usefulness over the years. This research program focuses on the foundations and analysis of symmetric differential equations. The emphasis is on symmetry-breaking bifurcations: the study of qualitative changes in the solutions as parameters of the equations are varied with a classification of the symmetries of the solutions. Advances are sought for delay-differential equations, for which the current state of the system depends on past states; these are prevalent in models of gene networks, population dynamics, laser dynamics and many others, and on time-reversible and Hamiltonian ordinary differential equations which occur mostly in physics such as the N-body problem of celestial mechanics. The anticipated outcome of this research is a deeper understanding of the interplay of symmetry and differential equations and the discovery of new dynamical phenomena. This research is important to theoretical scientists who construct mathematical models using differential equations. It gives them tools for the analysis of their models. But more importantly, the theoretical concepts stimulate new insight and paradigms, which are important to produce a deeper level of analysis and understanding of natural phenomena. The expertise gained through this research will strengthen the Canadian school of Dynamical Systems and attract talented students to this field who will form and lead the next generation of mathematicians.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
216932-2010
Name nom
Buono, PietroLuciano
Department département
Science, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2010
Award amount
12000
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
2952
Research subject group en
Applied mathematics
Research subject group fr
Mathématiques appliquées
Research subject en
Linear and non-linear systems
Research subject fr
Systèmes linéaires et non linéaires
Partie
5
Nb partie
5
Application title
Bifurcation theory of differential equations with symmetry
Keyword
NSERC
Application summary
Differential equation models are at the foundation of many theoretical advances in all the sciences. Differential equations describe the rate of change of the observed quantities and solutions form a dynamical system. Symmetry is observed in many natural phenomena; it is one of the main unifying ideas in science. Symmetry can be coded in differential equation models and predictions based on these models have shown their validity and usefulness over the years. This research program focuses on the foundations and analysis of symmetric differential equations. The emphasis is on symmetry-breaking bifurcations: the study of qualitative changes in the solutions as parameters of the equations are varied with a classification of the symmetries of the solutions. Advances are sought for delay-differential equations, for which the current state of the system depends on past states; these are prevalent in models of gene networks, population dynamics, laser dynamics and many others, and on time-reversible and Hamiltonian ordinary differential equations which occur mostly in physics such as the N-body problem of celestial mechanics. The anticipated outcome of this research is a deeper understanding of the interplay of symmetry and differential equations and the discovery of new dynamical phenomena. This research is important to theoretical scientists who construct mathematical models using differential equations. It gives them tools for the analysis of their models. But more importantly, the theoretical concepts stimulate new insight and paradigms, which are important to produce a deeper level of analysis and understanding of natural phenomena. The expertise gained through this research will strengthen the Canadian school of Dynamical Systems and attract talented students to this field who will form and lead the next generation of mathematicians.