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Grant: Discovery Grants Program - Individual

Concordia University

$14,000.00

Absolutely Continuous Invariant Measures for Selectors of Multivalued Maps and Their Applications

FY 2017-18

Summary
A Multi-Valued Map (MVM) is a function whose values are subsets of a space rather than individual elements of the space. The main objective of my research is to study the long term statistical behaviour of dynamical systems defined by a MVM. This approach is the basic method of Ergodic Theory in which I specialize. Ergodic Theory is now an established and active research area (four of fourteen Fields medalists in this century were recognized for their contributions to Ergodic Theory). An economic example of an MVM is a collection of admissible strategies (selectors). An invariant measure statistically describes the long term average behavior of a chosen strategy (a selector). This means that if we can find a selector with a prescribed invariant measure, then we have also found a strategy to obtain the desired statistical behaviour. Besides applications in economics, MVMs can be applied to neurology and physics. Since each neuron communicates with many others, MVMs are useful in describing the dynamics of the brain. We believe that invariant measures, particularly absolutely continuous invariant measures (acim), of such maps describe the steady states of the brain. My main goal is to describe the class of acims preserved by selectors of a given MVM. I have some preliminary results in dimension one. So far, I have considered MVMs with graphs bounded by piecewise expanding maps. An interesting direction of study in economics is to consider this problem in higher dimensions. I have preliminary results in dimension two, but in general this is a difficult problem. A related problem is to characterize the invariant measures for selectors that can be achieved as invariant measures of a position dependent random map based on boundary maps. I plan to establish reasonable conditions under which this representation is possible. This type of result is reminiscent of the holographic principle in physics, which claims that all information about the inside of a black hole can be read from the dynamical behavior on its surface.
Program
Discovery Grants Program - Individual
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2015-03708
Name nom
Gora, Pawel
Department département
Mathematics and Statistics - 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
2017
Competition year année de concours
2015
Award amount
14000
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
Absolutely Continuous Invariant Measures for Selectors of Multivalued Maps and Their Applications
Keyword
NSERC
Application summary
A Multi-Valued Map (MVM) is a function whose values are subsets of a space rather than individual elements of the space. The main objective of my research is to study the long term statistical behaviour of dynamical systems defined by a MVM. This approach is the basic method of Ergodic Theory in which I specialize. Ergodic Theory is now an established and active research area (four of fourteen Fields medalists in this century were recognized for their contributions to Ergodic Theory). An economic example of an MVM is a collection of admissible strategies (selectors). An invariant measure statistically describes the long term average behavior of a chosen strategy (a selector). This means that if we can find a selector with a prescribed invariant measure, then we have also found a strategy to obtain the desired statistical behaviour. Besides applications in economics, MVMs can be applied to neurology and physics. Since each neuron communicates with many others, MVMs are useful in describing the dynamics of the brain. We believe that invariant measures, particularly absolutely continuous invariant measures (acim), of such maps describe the steady states of the brain. My main goal is to describe the class of acims preserved by selectors of a given MVM. I have some preliminary results in dimension one. So far, I have considered MVMs with graphs bounded by piecewise expanding maps. An interesting direction of study in economics is to consider this problem in higher dimensions. I have preliminary results in dimension two, but in general this is a difficult problem. A related problem is to characterize the invariant measures for selectors that can be achieved as invariant measures of a position dependent random map based on boundary maps. I plan to establish reasonable conditions under which this representation is possible. This type of result is reminiscent of the holographic principle in physics, which claims that all information about the inside of a black hole can be read from the dynamical behavior on its surface.
Concordia University - $14,000 Grant (2017-18) | Canada Spends