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Nonlinear Difference Equations: Theory with Applications to Social Science Models /

Nonlinear Difference Equations: Theory with Applications to Social Science Models /
Catalogue Information
Field name Details
Dewey Class 515.625
515.75
Title Nonlinear Difference Equations ([EBook] :) : Theory with Applications to Social Science Models / / by Hassan Sedaghat.
Author Sedaghat, Hassan
Other name(s) SpringerLink (Online service)
Publication Dordrecht : : Springer Netherlands : : Imprint: Springer, , 2003.
Physical Details XV, 388 p. : online resource.
Series Mathematical modelling : theory and applications 1386-2960 ; ; 15
ISBN 9789401704175
Summary Note It is generally acknowledged that deterministic formulations of dy­ namical phenomena in the social sciences need to be treated differently from similar formulations in the natural sciences. Social science phe­ nomena typically defy precise measurements or data collection that are comparable in accuracy and detail to those in the natural sciences. Con­ sequently, a deterministic model is rarely expected to yield a precise description of the actual phenomenon being modelled. Nevertheless, as may be inferred from a study of the models discussed in this book, the qualitative analysis of deterministic models has an important role to play in understanding the fundamental mechanisms behind social sci­ ence phenomena. The reach of such analysis extends far beyond tech­ nical clarifications of classical theories that were generally expressed in imprecise literary prose. The inherent lack of precise knowledge in the social sciences is a fun­ damental trait that must be distinguished from "uncertainty. " For in­ stance, in mathematically modelling the stock market, uncertainty is a prime and indispensable component of a model. Indeed, in the stock market, the rules are specifically designed to make prediction impossible or at least very difficult. On the other hand, understanding concepts such as the "business cycle" involves economic and social mechanisms that are very different from the rules of the stock market. Here, far from seeking unpredictability, the intention of the modeller is a scientific one, i. e.:
Contents note I Theory -- 1. Preliminaries -- 2. Dynamics on the Real Line -- 3. Vector Difference Equations -- 4. Higher Order Scalar Difference Equations -- II Applications to Social Science Models -- 5. Chaos and Stability in Some Models -- 6. Additional Models.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-94-017-0417-5
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