Mathematics in Economics
Models and Methods
Adam Ostaszewski(Author)
Blackwell Publishers
Published on 11. September 1993
Book
Hardback
464 pages
978-0-631-18055-5 (ISBN)
Description
This text should be a valuable guide to the mathematical apparatus that underlies so much of modern economics. Mathematical techniques are presented in the context of the economics problem they are used to solve. Students should, therefore, be able to gain insight into, and familiarity with, the mathematical models and methods involved in the transition from "phenomenon" to quantitative statement. Topics covered include: sets and numbers; matrices and vectors; modelling consumer choice; discrete variables; functions; equilibrium; eigenvalues and eigenvectors; limits and their uses; continuity and its uses; partial differentiation; the gradient; Taylor's theorem - an approximation tool; economic dynamics - differential equations. Each chapter ends with exercises designed to help students understand and practice the techniques they have learnt. The author has provided solutions to selected problems so that the book will function as an effective teaching tool on introductory courses in mathematics for economics, quantitative methods and for mathematicians taking a first course in economics.
"Mathematics in Economics" has been developed from a course taught jointly by Ken Binmore and Adam Ostaszewski.
"Mathematics in Economics" has been developed from a course taught jointly by Ken Binmore and Adam Ostaszewski.
More details
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
333 figures, 16 tables
Dimensions
Height: 246 mm
Width: 171 mm
Weight
1048 gr
ISBN-13
978-0-631-18055-5 (9780631180555)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Part 1: sets and numbers; matrices and vectors; modelling consumer choice; discrete variables; functions; equilibrium; eigenvalues and eigenvectors. Part 2: limits and their uses; continuity and its uses ; uses of the derivative; continuous compounding and exponential growth; partial differentiation; the gradient; Taylor's theorem - an approximation tool; optimization in two variables; economic dynamics - differential equations.