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Optimal Control Problems Arising in Mathematical Economics

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  • © 2022

Overview

  • Develops the turnpike theory for a new class of optimal control problems related to a general model of economic growth
  • Expounds the turnpike theory for a new class of autonomous optimal control problems related to the RSS model
  • Studies the stability of the turnpike phenomenon for the new classes of optimal control problems

Part of the book series: Monographs in Mathematical Economics (MOME, volume 5)

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Table of contents (10 chapters)

Keywords

About this book

This book is devoted to the study of two large classes of discrete-time optimal control problems arising in mathematical economics. Nonautonomous optimal control problems of the first class are determined by a sequence of objective functions and sequence of constraint maps. They correspond to a general model of economic growth. We are interested in turnpike properties of approximate solutions and in the stability of the turnpike phenomenon under small perturbations of objective functions and constraint maps. The second class of autonomous optimal control problems  corresponds to another general class of models of economic dynamics which  includes the Robinson–Solow–Srinivasan  model as a particular case. 


In Chap. 1 we discuss turnpike properties for a large class  of discrete-time optimal control problems studied in the literature and for the Robinson–Solow–Srinivasan model. In Chap. 2 we introduce the first class of optimal control problems and study its turnpike property. This class of problems is also discussed in Chaps. 3–6. In Chap. 3 we study the stability of the turnpike phenomenon under small perturbations of the objective functions. Analogous results for problems with discounting are considered in Chap. 4. In Chap. 5 we study the stability of the turnpike phenomenon under small perturbations of the objective functions and the constraint maps. Analogous results for problems with discounting are established in Chap. 6. The results of Chaps. 5 and 6 are new. The second class of problems is studied in Chaps. 7–9. In Chap. 7 we study the turnpike properties.  The stability of the turnpike phenomenon under small perturbations of the objective functions is established in Chap. 8. In  Chap. 9 we establish the stability of the turnpike phenomenon under small perturbations of the objective functions and the constraint maps. The results of Chaps. 8 and 9 are new. In Chap. 10 we study optimal control problems related to a model of knowledge-based endogenous economic growth and show  the existence of trajectories of unbounded economic growth and provide estimates for the growth rate.


Reviews

“This is an excellent monograph on a very important subject: optimal control in mathematical economics. It is based on many related contributions. including the author's work and expertise.” (Gheorghe Moroșanu, zbMATH 1497.49001, 2022)

Authors and Affiliations

  • Department of Mathematics, Technion – Israel Institute of Technology, Rishon LeZion, Israel

    Alexander J. Zaslavski

About the author

Alexander J. Zaslavski, Department of Mathematics, Technion – Israel Institute of Technology, Rishon LeZion, Israel.

LeZion, Israel

LeZion, Israel

LeZion, Israel

LeZion, Israel


Bibliographic Information

  • Book Title: Optimal Control Problems Arising in Mathematical Economics

  • Authors: Alexander J. Zaslavski

  • Series Title: Monographs in Mathematical Economics

  • DOI: https://doi.org/10.1007/978-981-16-9298-7

  • Publisher: Springer Singapore

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022

  • Hardcover ISBN: 978-981-16-9297-0Published: 29 June 2022

  • Softcover ISBN: 978-981-16-9300-7Published: 30 June 2023

  • eBook ISBN: 978-981-16-9298-7Published: 28 June 2022

  • Series ISSN: 2364-8279

  • Series E-ISSN: 2364-8287

  • Edition Number: 1

  • Number of Pages: XI, 378

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Continuous Optimization, Optimization

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