Essential Mathematics for Economic Analysis provides an invaluable introduction to mathematical analysis and linear algebra for economists. Its main purpose is to help students acquire the mathematical skills they need in order to read the less technical literature associated with economic problems. The coverage is comprehensive, ranging from elementary algebra to more advanced material, whilst focusing on all the core topics usually taught in undergraduate courses on mathematics for economists.
Features
Excellent balance between mathematics & economic examples and cases helps economics students understand the relevance of learning mathematics and applying mathematical principles to economic analysis.
Large number of examples throughout the book help to link abstract mathematics with real life
Extremely clear writing style without sacrificing mathematical precision and rigour ensures that students gain a thorough understanding of the use of mathematics to analyse economic problems.
Extensive number of problems and exercises at the end of each section with solutions to odd-numbered questions at the back of the book, allowing students to constantly practice what they are learning to reinforce their understanding.
New To This Edition
Most chapters have been revised and updated. They now include additional problem material and many more examples
Key concepts and techniques placed in colour and boxes to outline their importance
New chapter 17 on Linear Programming
Extensive resources for instructors and students on the companion website at www.pearsoned.co.uk/sydsaeter, including Instructors Manual with tests; Excel supplement with exercises; Excel supp Answers for lecturers; Downloadable Exam style problems which can be set as assignments for students.
Preface 1. Introductory Topics I: Algebra 2. Introductory Topics II: Equations 3. Introductory Topics III: Miscellaneous 4. Functions Of One Variable 5. Properties Of Functions 6. Differentiation 7. Derivatives In Use 8. Single-Variable Optimization 9. Integration 10. Interest Rates And Present Values 11. Functions Of Many Variables 12. Tools For Comparative Statics 13. Multivariable Optimization 14. Constrained Optimization 15. Matrix And Vector Algebra 16. Determinants And Inverse Matrices 17. Linear Programming Appendix: Geometrythe Greek Alphabet Answers Odd-Numbered Problems Index
Other Editions for Essential Mathematics for Economic Analysis
Essential Mathematics for Economic Analysis provides an invaluable introduction to mathematical analysis and linear algebra for economists. Its main purpose is to help students acquire the mathematical skills they need in order to read the less technical literature associated with economic problems. The coverage is comprehensive, ranging from elementary algebra to more advanced material, whilst focusing on all the core topics usually taught in undergraduate courses on mathematics for economists.
Features
Excellent balance between mathematics & economic examples and cases helps economics students understand the relevance of learning mathematics and applying mathematical principles to economic analysis.
Large number of examples throughout the book help to link abstract mathematics with real life
Extremely clear writing style without sacrificing mathematical precision and rigour ensures that students gain a thorough understanding of the use of mathematics to analyse economic problems.
Extensive number of problems and exercises at the end of each section with solutions to odd-numbered questions at the back of the book, allowing students to constantly practice what they are learning to reinforce their understanding.
New To This Edition
Most chapters have been revised and updated. They now include additional problem material and many more examples
Key concepts and techniques placed in colour and boxes to outline their importance
New chapter 17 on Linear Programming
Extensive resources for instructors and students on the companion website at www.pearsoned.co.uk/sydsaeter, including Instructors Manual with tests; Excel supplement with exercises; Excel supp Answers for lecturers; Downloadable Exam style problems which can be set as assignments for students.
Table of Contents
Preface 1. Introductory Topics I: Algebra 2. Introductory Topics II: Equations 3. Introductory Topics III: Miscellaneous 4. Functions Of One Variable 5. Properties Of Functions 6. Differentiation 7. Derivatives In Use 8. Single-Variable Optimization 9. Integration 10. Interest Rates And Present Values 11. Functions Of Many Variables 12. Tools For Comparative Statics 13. Multivariable Optimization 14. Constrained Optimization 15. Matrix And Vector Algebra 16. Determinants And Inverse Matrices 17. Linear Programming Appendix: Geometrythe Greek Alphabet Answers Odd-Numbered Problems Index