Grant: Discovery Grants Program - Individual
Concordia University
$15,000.00
Chaotic dynamics of deterministic and random maps
FY 2010-11
Summary
The theory of one and higher dimensional transformations and random maps is a beautiful, important and challenging subject for research. Methods ranging from theory of numbers and elementary geometry to measure theory and functional analysis are used.
The idea of using successive maxima of one variable in a higher dimensional dynamical system was introduced by Lorenz in his numerical studies of a 3-dimensional system of differential equations that model atmospheric effects. One of the arguments leading to the belief in the existence of a famous chaotic Lorenz attractor is the fact that the sequence of consecutive maxima of the z variable represented as a map z_n -> z_{n+1} form a chaotic map (similar to tent map). Can this purely speculative reasoning be turned into a mathematical proof? To study this problem we consider a map T and a sequence (x_n) of consecutive maxima of one of the variables and ask what chaotic properties of (x_n) imply analogous chaotic properties of T. In more general form we ask whether a chaotic behavior on the lower dimensional subset of a space implies chaos of the whole higher dimensional system.
We also study other problems related to the invariant measures of dynamical systems: existence of such measures for a random map modeling market dynamics, various methods of approximation of invariant densities and modeling of some quantum mechanics phenomena: double slit experiment and the holographic principle for the information horizon of black holes.
Program
Discovery Grants Program - Individual
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
105717-2010
Name nom
Gora, Pawel
Department département
Mathematics and Statistics
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2010
Award amount
15000
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
2901
Research subject group en
Pure mathematics
Research subject group fr
Mathématiques pures
Research subject en
Classical analysis
Research subject fr
Analyse classique
Partie
1
Nb partie
5
Application title
Chaotic dynamics of deterministic and random maps
Keyword
NSERC
Application summary
The theory of one and higher dimensional transformations and random maps is a beautiful, important and challenging subject for research. Methods ranging from theory of numbers and elementary geometry to measure theory and functional analysis are used.
The idea of using successive maxima of one variable in a higher dimensional dynamical system was introduced by Lorenz in his numerical studies of a 3-dimensional system of differential equations that model atmospheric effects. One of the arguments leading to the belief in the existence of a famous chaotic Lorenz attractor is the fact that the sequence of consecutive maxima of the z variable represented as a map z_n -> z_{n+1} form a chaotic map (similar to tent map). Can this purely speculative reasoning be turned into a mathematical proof? To study this problem we consider a map T and a sequence (x_n) of consecutive maxima of one of the variables and ask what chaotic properties of (x_n) imply analogous chaotic properties of T. In more general form we ask whether a chaotic behavior on the lower dimensional subset of a space implies chaos of the whole higher dimensional system.
We also study other problems related to the invariant measures of dynamical systems: existence of such measures for a random map modeling market dynamics, various methods of approximation of invariant densities and modeling of some quantum mechanics phenomena: double slit experiment and the holographic principle for the information horizon of black holes.