Overview
- Provides a one-semester introduction to mathematical economics for first year graduate and senior undergraduate students
- Geared towards helping students develop mathematical maturity in a short period of time
- Covers expanded topics such as logic and proof, probability theory, and dynamic modeling
- Includes end-of-chapter questions with solutions
- Request lecturer material: sn.pub/lecturer-material
Part of the book series: Springer Texts in Business and Economics (STBE)
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Table of contents (9 chapters)
Keywords
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Reviews
“This book by Prof. Kam Yu is an interesting addition to the literature on the basic mathematical tools for economic analysis (more specifically, for neoclassical economics). It covers a wide range of topics, ranging from topology to probability theory, going through linear algebra, optimization theory and dynamic programming. Its strength lies in a large number of examples and exercises. In that sense, it is useful for junior andsenior college students.” (Fernando Tohmé, zbMATH 1471.91005, 2021)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Mathematical Economics
Book Subtitle: Prelude to the Neoclassical Model
Authors: Kam Yu
Series Title: Springer Texts in Business and Economics
DOI: https://doi.org/10.1007/978-3-030-27289-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-27288-3Published: 15 November 2019
Softcover ISBN: 978-3-030-27291-3Published: 15 November 2020
eBook ISBN: 978-3-030-27289-0Published: 01 November 2019
Series ISSN: 2192-4333
Series E-ISSN: 2192-4341
Edition Number: 1
Number of Pages: XIII, 214
Number of Illustrations: 8 b/w illustrations, 18 illustrations in colour
Topics: Game Theory, Economics, Social and Behav. Sciences, Economic Theory/Quantitative Economics/Mathematical Methods, Microeconomics, Macroeconomics/Monetary Economics//Financial Economics, Game Theory, Economics, Social and Behav. Sciences