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Teaching the principles of statistical dynamics K Ghosh, University of California, San Francisco Ken A. Dill, University of California, San Francisco M M. Inamdar, California Institute of Technology, Pasadena E Seitaridou, California Institute of Technology, Pasadena R Phillips, California Institute of Technology, Pasadena
ABSTRACT: We describe a simple framework for teaching the principles that
underlie the dynamical laws of transport: Fick's law of diffusion, Fourier's
law of heat flow, the Newtonian viscosity law, and the mass-action laws of
chemical kinetics. In analogy with the way that the maximization of entropy
over microstates leads to the Boltzmann distribution and predictions about
equilibria, maximizing a quantity that E. T. Jaynes called "caliber" over all
the possible microtrajectories leads to these dynamical laws. The principle of
maximum caliber also leads to dynamical distribution functions that
characterize the relative probabilities of different microtrajectories. A great
source of recent interest in statistical dynamics has resulted from a new
generation of single-particle and single-molecule experiments that make it
possible to observe dynamics one trajectory at a time. (c) 2006 American
Association of Physics Teachers.
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