Basic Mathematics for Economists

Auteur

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.

Texte du rabat

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.

Résumé

Basic Mathematics for Economists is a classic of its genre 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, this book covers all the basic tenets required for an understanding of mathematics and how it is applied in economics, finance and business.

Starting with revisions of the essentials of arithmetic and algebra, students are then taken through to more advanced topics in calculus, comparative statics, dynamic analysis, and matrix algebra, with all topics explained in the context of relevant applications. This fourth edition includes updated/additional real-world applications and examples of concepts and techniques throughout, with fuller analysis of topics such as savings and pension schemes, and asset valuation techniques.

Including digital supplements for both students and lecturers, this book is the most logical, user-friendly textbook on the market and is suitable for mathematics of economics, finance and business courses globally.

Contenu

Preface. Acknowledgements. 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. Answers. Index.