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Rigidity, entropy and arithmetic in homogeneous dynamics

$522,012FY2008MPSNSF

Princeton University, Princeton NJ

Investigators

Abstract

The research to be conducted lies at the interface of numerous mathematical disciplines in which there has been exciting progress recently. It involves in particular the theory of dynamical systems (specifically the study of concrete and natural group actions on locally homogeneous spaces), algebraic group theory, analytic number theory, automorphic forms and spectral theory, arithmetic combinatorics and mathematical physics (the quantum mechanical behavior of classically chaotic systems). By using the rich toolbox given by the mathematical disciplines above with particular emphasis on the tools from the theory of dynamical systems, we plan to tackle fundamental questions in the theory of group actions on homogeneous spaces, Diophantine approximations (e.g. the Littlewood Conjecture and effective versions of Oppenheim Conjecture), arithmetic, and the theory of automorphic forms. We hope that the research conducted in this project will build new bridges and strengthen existing bridges between seemingly disperse mathematical disciplines. Unlike other sciences, mathematical knowledge does not become obsolete, and by discovering new connections between different subjects one can bring to bear deep results, both new and old, to the fundamental questions mathematicians investigate. A key part of the proposal is the investigation of the space of lattices in d-dimensional Euclidean space --- a space whose investigation began more than 100 years ago by the mathematician Hermann Minkowski to better understand the basic properties of number fields and other purely theoretical questions, and which is now used in an essential way in many algorithms to tackle real life problems. While it is hard to predict what practical applications the improved understanding of the space of lattices we hope to attain via this proposal may have many (or maybe not so many) years down the road, the algorithmic success of lattice space techniques suggests such applications are quite likely.

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