1. Linear equations 2. Linear inequalities 3. Sets and functions 4. Quadratics, indices and logarithms 5. Sequences, series and limits 6. Introduction to differentiation 7. Methods of differentiation 8. Maxima and minima 9. Exponential and logarithmic functions 10. Approximations 11. Matrix algebra 12. Systems of linear equations 13. Determinants and quadratic forms 14. Functions of several variables 15. Implicit relations 16. Optimisation with several variables 17. Principles of constrained optimisation 18. Further topics in constrained optimisation 19. Integration 20. Aspects of integral calculus 21. Probability 22. Expectation 23. Introduction to dynamics 24. The circular functions 25. Complex numbers 26. Further dynamics 27. Eigenvalues and eigenvectors 28. Dynamic systems 29. Dynamic optimisation in discrete time 30. Dynamic optimisation in continuous time 31. Introduction to analysis 32. Metric spaces and existence theorems Notes on further reading Index
Malcolm Pemberton is Senior Lecturer in Economics at University College London Nicholas Rau is Honorary Senior Lecturer in Economics at University College London
'In spite of the wide scope of this textbook, its presentation is clear and crisp. The materials are very carefully organised. The transition from mathematical principles to economic propositions is remarkably lucid throughout the book. If a first-year undergraduate student in economics comes to ask me which one, among many books on mathematics for economists, to buy for years to come, then I would definitely tell them that this is the one.' Chiaki Hara, Institute of Economic Research, Kyoto University 'This is a great text to learn from - the authors do an excellent job providing intuitive explanations, making connections between results and illustrating the use of mathematics in solving economics problems, and there is a host of solved exercises which perform two roles: providing essential practice material and introducing further applications in economics.' Andrew Chesher, Director of The Centre for Microdata Methods and Practice, IFS and UCL -- .