This monograph establishes a theory of classification and
translation closedness of time scales, a topic that was first
studied by S. Hilger in 1988 to unify continuous and discrete
analysis. The authors develop a theory of translation function on
time scales that contains (piecewise) almost periodic functions,
(piecewise) almost automorphic functions and their related
generalization functions (e.g., pseudo almost periodic functions,
weighted pseudo almost automorphic functions, and more). Against
the background of dynamic equations, these function theories on
time scales are applied to study the dynamical behavior of
solutions for various types of dynamic equations on hybrid domains,
including evolution equations, discontinuous equations and
impulsive integro-differential equations. The theory presented
allows many useful applications, such as in the Nicholson`s
blowfiles model; the Lasota-Wazewska model; the Keynesian-Cross
model; in those realistic dynamical models with a more complex
hibrid domain, considered under different types of translation
closedness of time scales; and in dynamic equations on mathematical
models which cover neural networks. This book provides readers with
the theoretical background necessary for accurate mathematical
modeling in physics, chemical technology, population dynamics,
biotechnology and economics, neural networks, and social sciences.
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