Essential Mathematics for Economic Analysis
Description
Essential Mathematics for Economic Analysis, 6 th edition by Sydsaeter, Hammond, Strøm, and Carvajal is a global best-selling text providing an extensive introduction to all the mathematical resources you need to study economics at an intermediate level.
This book has been applauded for covering a broad range of mathematical knowledge, techniques, and tools, progressing from elementary calculus to more advanced topics.
With a plethora of practice examples, questions, and solutions integrated throughout, this latest edition provides you a wealth of opportunities to apply them in specific economic situations, helping you develop key mathematical skills as your course progresses.
Key features:
- Numerous exercises and worked examples throughout each chapter allow you to practice skills and improve techniques.
- Review exercises at the end of each chapter test your understanding of a topic, allowing you to progress with confidence.
- Solutions to exercises are provided in the book and online, showing you the steps needed to arrive at the correct answer.
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Persons
Knut Sydsaeter (1937-2012) was Emeritus Professor of Mathematics in the Economics Department at the University of Oslo, where he had taught mathematics to economists for over 45 years.
Peter Hammond is currently a Professor of Economics at the University of Warwick, where he moved in 2007 after becoming an Emeritus Professor at Stanford University. He has taught Mathematics for Economists at both universities, as well as the universities of Oxford and Essex.
Arne Strøm is Associate Professor Emeritus at the University of Oslo and has extensive experience in teaching mathematics to economists at the University Department of Economics.
Andrés Carvajal is an Associate Professor in the Department of Economics at the University of California, Davis.
Content
I PRELIMINARIES
- 1 Essentials of Logic and Set Theory
- 2 Algebra
- 3 Solving Equations
- 4 Functions of One Variable
- 5 Properties of Functions
II SINGLE-VARIABLE CALCULUS
- 6 Differentiation
- 7 Derivatives in Use
- 8 Concave and Convex Functions
- 9 Optimization
- 10 Integration
- 11 Topics in Finance and Dynamics
III MULTI-VARIABLE ALGEBRA
- 12 Matrix Algebra
- 13 Determinants, Inverses, and Quadratic Forms
IV MULTI-VARIABLE CALCULUS
- 14 Multivariable Functions
- 15 Partial Derivatives in Use
- 16 Multiple Integrals
V MULTI-VARIABLE OPTIMIZATION
- 17 Unconstrained Optimization
- 18 Equality Constraints
- 19 Linear Programming
- 20 Nonlinear Programming