Mathematical Economics: Prelude to the Neoclassical Model

Mathematical Economics: Prelude to the Neoclassical Model

by Kam Yu
ISBN-10:
3030272885
ISBN-13:
9783030272883
Pub. Date:
11/02/2019
Publisher:
Springer International Publishing
ISBN-10:
3030272885
ISBN-13:
9783030272883
Pub. Date:
11/02/2019
Publisher:
Springer International Publishing
Mathematical Economics: Prelude to the Neoclassical Model

Mathematical Economics: Prelude to the Neoclassical Model

by Kam Yu
$109.99
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$109.99 
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Overview

This textbook provides a one-semester introduction to mathematical economics for first year graduate and senior undergraduate students. Intended to fill the gap between typical liberal arts curriculum and the rigorous mathematical modeling of graduate study in economics, this text provides a concise introduction to the mathematics needed for core microeconomics, macroeconomics, and econometrics courses. Chapters 1 through 5 builds students’ skills in formal proof, axiomatic treatment of linear algebra, and elementary vector differentiation. Chapters 6 and 7 present the basic tools needed for microeconomic analysis. Chapter 8 provides a quick introduction to (or review of) probability theory. Chapter 9 introduces dynamic modeling, applicable in advanced macroeconomics courses. The materials assume prerequisites in undergraduate calculus and linear algebra. Each chapter includes in-text exercises and a solutions manual, making this text ideal for self-study.


Product Details

ISBN-13: 9783030272883
Publisher: Springer International Publishing
Publication date: 11/02/2019
Series: Springer Texts in Business and Economics
Edition description: 1st ed. 2019
Pages: 214
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Kam Yu studied engineering, mathematics, and economics in Hong Kong, the UK, and Canada. He teaches economics at Lakehead University, where he received a teaching award in 2016. His primary research interest is in the area of social and economic measurement.

Table of Contents

Chapter 1. Logic and Proof.- Chapter 2. Sets and Relations.- Chapter 3. Basic Topology.- Chapter 4. Linear Algebra.- Chapter 5. Vector Calculus.- Chapter 6. Convex Analysis.- Chapter 7. Optimization.- Chapter 8. Probability.- Chapter 9. Dynamic Modeling.

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