Introduction to optimization for economists

Questions and answers

by Jacob Engwerda

This book reviews a range of standard mathematical tools used to solve optimization problems. It discusses the conditions under which function optima exist, considering both single-variable and multi-variable functions. Because resources are often limited, special attention is given to constrained optimization problems, where the domain of the function is restricted. Convex and linear programming problems are examined in greater detail due to their favorable numerical properties. Finally, the book addresses a number of concepts related to optimization problems involving multiple agents or multiple objectives. Each chapter ends with a collection of exercises divided into three categories. The first category contains exercises designed to help students assess their understanding of the material presented. The second category promotes a deeper engagement with mathematical rigor, including proofs of theorems discussed in the main text as well as related topics. The third category demonstrates how the theoretical tools can be applied in economics to enhance understanding of real-world phenomena. In this accompanying volume, we provide solutions to all exercises included in the book.

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About the author

Jacob Engwerda was born in Nieuweschans, the Netherlands, in 1958. He obtained his master’s degree from the University of Groningen in 1982 and earned his Ph.D. in mathematics, with a specialization in systems and control theory, from he Eindhoven University of Technology in 1988. From 1988 to 2019, he served as an associate professor in the Department of Econometrics and operations Research at Tilburg University. He is the author of LQ Dynamic Optimization and Differential Games and a coauthor of Dynamic Modeling of Monetary and Fiscal Cooperation Among Nations and The Interval Market Model in Mathematical Finance. His research centers on the development of system-theoretic methods for control problems in economics, with a particular emphasis on game theory. He has published more than 250 scientific papers. Since retiring in 2019, he continues to conduct some research in his spare time.

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