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Mathematical Methods and Models for Economists

Mathematical Methods and Models for Economists

$65.00 (Z)

  • Date Published: January 2000
  • availability: Manufactured on demand: supplied direct from the printer
  • format: Paperback
  • isbn: 9780521585293

$65.00 (Z)
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About the Authors
  • This book is intended as a textbook for a first-year Ph. D. course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics. The topics covered include an introduction to analysis in metric spaces, differential calculus, comparative statics, convexity, static optimization, dynamical systems and dynamic optimization. The book includes a large number of applications to standard economic models and over two hundred fully worked-out problems.

    • Provides self-contained treatment of most of the mathematical concepts and techniques required in graduate courses in economic theory
    • Includes over 200 fully worked-out problems
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    Product details

    • Date Published: January 2000
    • format: Paperback
    • isbn: 9780521585293
    • length: 848 pages
    • dimensions: 254 x 178 x 43 mm
    • weight: 1.44kg
    • contains: 224 b/w illus.
    • availability: Manufactured on demand: supplied direct from the printer
  • Table of Contents

    Part I. Preliminaries:
    1. Review of basic concepts
    2. Metric and normed spaces
    3. Vector spaces and linear mappings
    4. Differential calculus
    Part II. Statics:
    5. Static models and comparative statics
    6. Convex sets and concave functions
    7. Static Optimization
    8. Some applications to microeconomics
    Part III. Dynamics:
    9. Dynamical systems I: basic concepts and scalar systems
    10. Dynamical systems II: higher dimensions
    11. Dynamical systems III: some applications
    12. An introduction to dynamic optimization
    13. Some applications to dynamic optimization
    Appendix
    Indexes.

  • Author

    Angel de la Fuente

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