Mathematics for Economics and Finance
Mathematics for Economics and Finance
Norman Biggs , London School of Economics and Political Science
Looking for an examination copy?
This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact [email protected] providing details of the course you are teaching.
Experience the eBook and the associated online resources on our new Higher Education website. Go to site For other formats please stay on this page.
Replaced by:
9781108459433Without expecting any particular background of the reader, this book covers graphs and relations, sequences and limits, partial derivatives, optimization, vectors, and matrix algebra. Throughout, the stress is firmly on how the mathematics relates to economics, and this is illustrated with copious examples and exercises that will foster depth of understanding.
- Authors have been teaching this at LSE for several years
- Very broad coverage of topics
- No mathematical fudging yet clear presentation
- Suitable for both maths and economics backgrounds
Reviews & endorsements
'Throughout, the stress is firmly on how the mathematics relates to economics, and this is illustrated with copious examples and exercises that will foster depth of understanding.' L'Enseignement Mathématique
Product details
July 2013Adobe eBook Reader
9780511252082
0 pages
0kg
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- 1. Mathematical models in economics
- 2. Mathematical terms and notations
- 3. Sequences, recurrences and limits
- 4. Elements of finance
- 5. The cobweb model
- 6. Introduction to calculus
- 7. Some special functions
- 8. Introduction to optimisation
- 9. The derivative in economics I
- 10. The derivative in economics II
- 11. Partial derivatives
- 12. Applications of partial derivatives
- 13. Optimisation in two variables
- 14. Vectors, preferences and convexity
- 15. Matrix algebra
- 16. Linear equations I
- 17. Linear equations II
- 18. Inverse matrices
- 19. The input output model
- 20. Determinants
- 21. Constrained optimisation
- 22. Lagrangians and the consumer
- 23. Second-order recurrence equations
- 24. Macroeconomic applications
- 25. Areas and integrals
- 26. Techniques of integration
- 27. First-order differential equations
- 28. Second-order differential equations
- Selected solutions.
