Mathematics for Economics and Finance: Methods and Modelling

Mathematics for Economics and Finance: Methods and Modelling

Mathematics for Economics and Finance: Methods and Modelling

Mathematics for Economics and Finance: Methods and Modelling

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Overview

Without 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.

Product Details

ISBN-13: 9781108592970
Publisher: Cambridge University Press
Publication date: 05/30/2024
Sold by: Barnes & Noble
Format: eBook

About the Author

Martin Anthony is Professor of Mathematics at the London School of Economics and Political Science, where he has been Head of Department and Vice-Chair of the Academic Board. He is the author of five books. Martin has been heavily involved in LSE's distance learning initiatives through the University of London International Programme and is a recipient of multiple LSE Teaching Excellence Awards.
Norman Biggs is Professor Emeritus in the Department of Mathematics at the London School of Economics and Political Science, where he was Head of Department and Vice-Chair of the Appointments Committee. He is the author of thirteen books, including 'Discrete Mathematics' (Second Edition, 2002). He previously served as General Secretary of the London Mathematical Society.

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.
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