With emphasis on stochastic aspects of deterministic systems this
short book introduces the reader to the basic facts and some
special topics of applied ergodic theory. It adresses advanced
undergraduate and graduate students from various disciplines, i.e.
mathematicians, physicists, electrical and mechanical engineers.
Based upon a sound (but non-technical) mathematical introduction, a
number of typical examples from applications (mostly from
mechanics) are thoroughly discussed. By studying both probabilistic
and deterministic features of dynamical systems the reader will
develop what might be considered a unified view on chaos and chance
as two sides of the same thing.
General
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