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단행본

An Introduction to Mathematical Analysis for Economic Theory and Econometrics

발행사항
Princeton : Princeton University Press, 2009
형태사항
xxi, 671p. : ill ; 27cm
서지주기
Includes bibliographical references and index
소장정보
위치등록번호청구기호 / 출력상태반납예정일
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책 소개

Providing an introduction to mathematical analysis as it applies to economic theory and econometrics, this book bridges the gap that has separated the teaching of basic mathematics for economics and the increasingly advanced mathematics demanded in economics research today. Dean Corbae, Maxwell B. Stinchcombe, and Juraj Zeman equip students with the knowledge of real and functional analysis and measure theory they need to read and do research in economic and econometric theory.


Unlike other mathematics textbooks for economics, An Introduction to Mathematical Analysis for Economic Theory and Econometrics takes a unified approach to understanding basic and advanced spaces through the application of the Metric Completion Theorem. This is the concept by which, for example, the real numbers complete the rational numbers and measure spaces complete fields of measurable sets. Another of the book's unique features is its concentration on the mathematical foundations of econometrics. To illustrate difficult concepts, the authors use simple examples drawn from economic theory and econometrics.


Accessible and rigorous, the book is self-contained, providing proofs of theorems and assuming only an undergraduate background in calculus and linear algebra.


  • Begins with mathematical analysis and economic examples accessible to advanced undergraduates in order to build intuition for more complex analysis used by graduate students and researchers

  • Takes a unified approach to understanding basic and advanced spaces of numbers through application of the Metric Completion Theorem

  • Focuses on examples from econometrics to explain topics in measure theory



목차
Ch. 1 Logic 1 Ch. 2 Set Theory 15 Ch. 3 The Space of Real Numbers 72 Ch. 4 The Finite-Dimensional Metric Space of Real Vectors 106 Ch. 5 Finite-Dimensional Convex Analysis 172 Ch. 6 Metric Spaces 259 Ch. 7 Measure Spaces and Probability 355 Ch. 8 The L[superscript p] ([omega], F, P) and l[superscript p] Spaces, p [epsilon] [1, [infinity]] 452 Ch. 9 Probabilities on Metric Spaces 551 Ch. 10 Infinite-Dimensional Convex Analysis 595 Ch. 11 Expanded Spaces 627 Index 655