Based on the author's graduate course taught over many years in
several physics departments, this 2006 book takes a 'reductionist'
view of statistical mechanics, while describing the main ideas and
methods underlying its applications. It implicitly assumes that the
physics of complex systems as observed is connected to fundamental
physical laws represented at the molecular level by Newtonian
mechanics or quantum mechanics. Organised into three parts, the
first section describes the fundamental principles of equilibrium
statistical mechanics. The next section describes applications to
phases of increasing density and order: gases, liquids and solids;
it also treats phase transitions. The final section deals with
dynamics, including a careful account of hydrodynamic theories and
linear response theory. This textbook is suitable for a one year
graduate course in statistical mechanics for physicists, chemists
and chemical engineers. Problems are included following each
chapter, with solutions to selected problems provided.
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