One of the most fundamental questions in the field of statistical mechanics is to explain the observed increase of a system's entropy in an irreversible process in terms of the underlying microscopic dynamics of the constituent particles. Recent work in dynamical systems theory (often called `chaos` theory) has allowed for considerable progress in this direction and for quantitative predictions to be made for both the quantities that describe the irreversible behavior of the system, such as transport coefficients, as well as the quantities that describe the system's chaotic behavior, such as Lyapunov exponents and dynamical `entropies`. The purpose of this research is to apply techniques of statistical mechanics to calculate both transport and dynamical quantities for systems of physical interest, and to relate them to each other and, in some cases, to the thermodynamic properties of the system. This will lead to a deeper understanding of the connections between the Second Law and microscopic dynamics. For quantum systems, this will also lead to further understanding of the behavior of some solid state devices of considerable current interest.

Agency
National Science Foundation (NSF)
Institute
Division of Physics (PHY)
Application #
9600428
Program Officer
Virginia R. Brown
Project Start
Project End
Budget Start
1996-08-15
Budget End
1999-07-31
Support Year
Fiscal Year
1996
Total Cost
$150,000
Indirect Cost
Name
University of Maryland College Park
Department
Type
DUNS #
City
College Park
State
MD
Country
United States
Zip Code
20742