Basic Mathematics for Economists

This book is a classic and this fourth edition continues to build on the success of previous editions. Suitable for students who may only have a basic mathematics background, as well as students who may have followed more advanced mathematics courses but who still want a clear explanation of fundamental concepts.

List of contents

1. Introduction 2. Arithmetic 3. Introduction to algebra 4. Graphs and functions 5. Simultaneous linear equations 6. Linear programming 7. Quadratic equations 8. Financial mathematics - series, time and investment 9. Introduction to calculus 10. Unconstrained optimization 11. Partial differentiation 12. Constrained optimization 13. Further topics in differentiation and integration 14. Dynamics and difference equations 15. Exponential functions, continuous growth and differential equations 16. Matrix algebra.

About the author

Piotr Lis is Deputy Head of School, Associate Professor in Economics at Coventry University, UK.
Mike Rosser is a former Principal Lecturer in Economics at Coventry University, UK.

Summary

This book is a classic and this fourth edition continues to build on the success of previous editions. Suitable for students who may only have a basic mathematics background, as well as students who may have followed more advanced mathematics courses but who still want a clear explanation of fundamental concepts.

Product details

• Authors: Piotr Lis, Piotr Rosser Lis, Lis Piotr, Mike Rosser
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 24.04.2025
• EAN: 9781032420196
• ISBN: 978-1-0-3242019-6
• No. of pages: 588
• Subjects: Social sciences, law, business > Business > Economics; Business & Economics / General, BUSINESS & ECONOMICS / Economics / General, BUSINESS & ECONOMICS / Statistics, BUSINESS & ECONOMICS / Economics / Microeconomics, BUSINESS & ECONOMICS / Econometrics, Applied mathematics, Operational research, Production & quality control management, Econometrics, Econometrics and economic statistics, Production and quality control management