Mathematics for Economists with Applications
eBook - ePub

Mathematics for Economists with Applications

  1. 690 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Mathematics for Economists with Applications

About this book

Mathematics for Economists with Applications provides detailed coverage of the mathematical techniques essential for undergraduate and introductory graduate work in economics, business and finance.

Beginning with linear algebra and matrix theory, the book develops the techniques of univariate and multivariate calculus used in economics, proceeding to discuss the theory of optimization in detail. Integration, differential and difference equations are considered in subsequent chapters. Uniquely, the book also features a discussion of statistics and probability, including a study of the key distributions and their role in hypothesis testing. Throughout the text, large numbers of new and insightful examples and an extensive use of graphs explain and motivate the material. Each chapter develops from an elementary level and builds to more advanced topics, providing logical progression for the student, and enabling instructors to prescribe material to the required level of the course.

With coverage substantial in depth as well as breadth, and including a companion website at www.routledge.com/cw/bergin, containing exercises related to the worked examples from each chapter of the book, Mathematics for Economists with Applications contains everything needed to understand and apply the mathematical methods and practices fundamental to the study of economics.

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Yes, you can access Mathematics for Economists with Applications by James Bergin in PDF and/or ePUB format, as well as other popular books in Business & Business General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2015
eBook ISBN
9781317820154
Edition
1

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. List of figures
  7. Preface
  8. 1 Introduction
  9. 2 Matrices and systems of equations
  10. 3 Linear algebra: applications
  11. 4 Linear programming
  12. 5 Functions of one variable
  13. 6 Functions of one variable: applications
  14. 7 Systems of equations, differentials and derivatives
  15. 8 Taylor series
  16. 9 Vectors
  17. 10 Quadratic forms
  18. 11 Multivariate optimization
  19. 12 Equality-constrained optimization
  20. 13 Inequality-constrained optimization
  21. 14 Integration
  22. 15 Eigenvalues and eigenvectors
  23. 16 Differential equations
  24. 17 Linear difference equations
  25. 18 Probability and distributions
  26. 19 Estimation and hypothesis testing
  27. Bibliography
  28. Index