Schaum's Outline Theory and Problems of Introduction to ...
SCHAUM'S OUTLINE OF
Theory and Problems of
INTRODUCTION TO
MATHEMATICAL ECONOMICS
Third Edition
EDWARD T. DOWLING, Ph.D.
Professor and Former Chairman Department of Economics Fordham University
Schaum's Outline Series
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To the memory of my parents, Edward T. Dowling, M.D. and Mary H. Dowling
EDWARD T. DOWLING is professor of Economics at Fordham University. He was Dean of Fordham College from 1982 to 1986 and Chairman of the Economics Department from 1979 to 1982 and again from 1988 to 1994. His Ph.D. is from Cornell University and his main areas of professional interest are mathematical economics and economic development. In addition to journal articles, he is the author of Schaum's Outline of Calculus for Business, Economics, and the Social Sciences, and Schaum's Outline of Mathematical Methods for Business and Economics. A Jesuit priest, he is a member of the Jesuit Community at Fordham.
Copyright ? 2001, 1992 by The McGraw-Hill Companies, Inc. All rights reserved. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher.
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Copyright 1980 by McGraw-Hill, Inc. Under the title Schaum's Outline of Theory and Problems of Mathematics for Economists. All rights reserved.
TERMS OF USE
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PREFACE
The mathematics needed for the study of economics and business continues to grow with each passing year, placing ever more demands on students and faculty alike. Introduction to Mathematical Economics, third edition, introduces three new chapters, one on comparative statics and concave programming, one on simultaneous differential and difference equations, and one on optimal control theory. To keep the book manageable in size, some chapters and sections of the second edition had to be excised. These include three chapters on linear programming and a number of sections dealing with basic elements such as factoring and completing the square. The deleted topics were chosen in part because they can now be found in one of my more recent Schaum books designed as an easier, more detailed introduction to the mathematics needed for economics and business, namely, Mathematical Methods for Business and Economics.
The objectives of the book have not changed over the 20 years since the introduction of the first edition, originally called Mathematics for Economists. Introduction to Mathematical Economics, third edition, is designed to present a thorough, easily understood introduction to the wide array of mathematical topics economists, social scientists, and business majors need to know today, such as linear algebra, differential and integral calculus, nonlinear programming, differential and difference equations, the calculus of variations, and optimal control theory. The book also offers a brief review of basic algebra for those who are rusty and provides direct, frequent, and practical applications to everyday economic problems and business situations.
The theory-and-solved-problem format of each chapter provides concise explanations illustrated by examples, plus numerous problems with fully worked-out solutions. The topics and related problems range in difficulty from simpler mathematical operations to sophisticated applications. No mathematical proficiency beyond the high school level is assumed at the start. The learning-by-doing pedagogy will enable students to progress at their own rates and adapt the book to their own needs.
Those in need of more time and help in getting started with some of the elementary topics may feel more comfortable beginning with or working in conjunction with my Schaum's Outline of Mathematical Methods for Business and Economics, which offers a kinder, gentler approach to the discipline. Those who prefer more rigor and theory, on the other hand, might find it enriching to work along with my Schaum's Outline of Calculus for Business, Economics, and the Social Sciences, which devotes more time to the theoretical and structural underpinnings.
Introduction to Mathematical Economics, third edition, can be used by itself or as a supplement to other texts for undergraduate and graduate students in economics, business, and the social sciences. It is largely self-contained. Starting with a basic review of high school algebra in Chapter 1, the book consistently explains all the concepts and techniques needed for the material in subsequent chapters.
Since there is no universal agreement on the order in which differential calculus and linear algebra should be presented, the book is designed so that Chapters 10 and 11 on linear algebra can be covered immediately after Chapter 2, if so desired, without loss of continuity.
This book contains over 1600 problems, all solved in considerable detail. To get the most from the book, students should strive as soon as possible to work independently of the solutions. This can be done by solving problems on individual sheets of paper with the book closed. If difficulties arise, the solution can then be checked in the book.
iii
iv
PREFACE
For best results, students should never be satisfied with passive knowledgethe capacity merely to follow or comprehend the various steps presented in the book. Mastery of the subject and doing well on exams requires active knowledgethe ability to solve any problem, in any order, without the aid of the book.
Experience has proved that students of very different backgrounds and abilities can be successful in handling the subject matter presented in this text if they apply themselves and work consistently through the problems and examples.
In closing, I would like to thank my friend and colleague at Fordham, Dr. Dominick Salvatore, for his unfailing encouragement and support over the past 25 years, and an exceptionally fine graduate student, Robert Derrell, for proofreading the manuscript and checking the accuracy of the solutions. I am also grateful to the entire staff at McGraw-Hill, especially Barbara Gilson, Tina Cameron, Maureen B. Walker, and Deborah Aaronson.
EDWARD T. DOWLING
CONTENTS
CHAPTER 1 CHAPTER 2 CHAPTER 3 CHAPTER 4 CHAPTER 5
CHAPTER 6
Review
1
1.1 Exponents. 1.2 Polynomials. 1.3 Equations: Linear and Quadratic. 1.4 Simultaneous Equations. 1.5 Functions. 1.6 Graphs, Slopes, and Intercepts.
Economic Applications of Graphs and Equations
14
2.1 Isocost Lines. 2.2 Supply and Demand Analysis.
2.3 Income Determination Models. 2.4 IS-LM Analysis.
The Derivative and the Rules of Differentiation
32
3.1 Limits. 3.2 Continuity. 3.3 The Slope of a Curvilinear Function. 3.4 The Derivative. 3.5 Differentiability and Continuity. 3.6 Derivative Notation. 3.7 Rules of Differentiation. 3.8 Higher-Order Derivatives. 3.9 Implicit Differentiation.
Uses of the Derivative in Mathematics and Economics 58
4.1 Increasing and Decreasing Functions. 4.2 Concavity and Convexity. 4.3 Relative Extrema. 4.4 Inflection Points. 4.5 Optimization of Functions. 4.6 Successive-Derivative Test for Optimization. 4.7 Marginal Concepts. 4.8 Optimizing Economic Functions. 4.9 Relationship among Total, Marginal, and Average Concepts.
Calculus of Multivariable Functions
82
5.1 Functions of Several Variables and Partial Derivatives.
5.2 Rules of Partial Differentiation. 5.3 Second-Order Partial
Derivatives. 5.4 Optimization of Multivariable Functions.
5.5 Constrained Optimization with Lagrange Multipliers.
5.6 Significance of the Lagrange Multiplier. 5.7 Differentials.
5.8 Total and Partial Differentials. 5.9 Total Derivatives.
5.10 Implicit and Inverse Function Rules.
Calculus of Multivariable Functions in Economics 110
6.1 Marginal Productivity. 6.2 Income Determination Multipliers and Comparative Statics. 6.3 Income and Cross Price Elasticities of Demand. 6.4 Differentials and Incremental Changes. 6.5 Optimization of Multivariable Functions in Economics. 6.6 Constrained Optimization of Multivariable
v
vi
CONTENTS
CHAPTER 7 CHAPTER 8 CHAPTER 9 CHAPTER 10 CHAPTER 11
Functions in Economics. 6.7 Homogeneous Production Functions. 6.8 Returns to Scale. 6.9 Optimization of Cobb-Douglas Production Functions. 6.10 Optimization of Constant Elasticity of Substitution Production Functions.
Exponential and Logarithmic Functions
146
7.1 Exponential Functions. 7.2 Logarithmic Functions.
7.3 Properties of Exponents and Logarithms. 7.4 Natural
Exponential and Logarithmic Functions. 7.5 Solving Natural
Exponential and Logarithmic Functions. 7.6 Logarithmic
Transformation of Nonlinear Functions.
Exponential and Logarithmic Functions in
Economics
160
8.1 Interest Compounding. 8.2 Effective vs. Nominal Rates of
Interest. 8.3 Discounting. 8.4 Converting Exponential to
Natural Exponential Functions. 8.5 Estimating Growth Rates
from Data Points.
Differentiation of Exponential and Logarithmic
Functions
173
9.1 Rules of Differentiation. 9.2 Higher-Order Derivatives.
9.3 Partial Derivatives. 9.4 Optimization of Exponential and
Logarithmic Functions. 9.5 Logarithmic Differentiation.
9.6 Alternative Measures of Growth. 9.7 Optimal Timing.
9.8 Derivation of a Cobb-Douglas Demand Function Using a
Logarithmic Transformation.
The Fundamentals of Linear (or Matrix) Algebra
199
10.1 The Role of Linear Algebra. 10.2 Definitions and
Terms. 10.3 Addition and Subtraction of Matrices.
10.4 Scalar Multiplication. 10.5 Vector Multiplication.
10.6 Multiplication of Matrices. 10.7 Commutative, Associative,
and Distributive Laws in Matrix Algebra. 10.8 Identity and
Null Matrices. 10.9 Matrix Expression of a System of Linear
Equations.
Matrix Inversion
224
11.1 Determinants and Nonsingularity. 11.2 Third-Order
Determinants. 11.3 Minors and Cofactors. 11.4 Laplace
Expansion and Higher-Order Determinants. 11.5 Properties of
a Determinant. 11.6 Cofactor and Adjoint Matrices.
11.7 Inverse Matrices. 11.8 Solving Linear Equations with the
Inverse. 11.9 Cramer's Rule for Matrix Solutions.
CONTENTS
vii
CHAPTER 12 CHAPTER 13 CHAPTER 14 CHAPTER 15 CHAPTER 16 CHAPTER 17
Special Determinants and Matrices and Their Use in
Economics
254
12.1 The Jacobian. 12.2 The Hessian. 12.3 The
Discriminant. 12.4 Higher-Order Hessians. 12.5 The
Bordered Hessian for Constrained Optimization.
12.6 Input-Output Analysis. 12.7 Characteristic Roots and
Vectors (Eigenvalues, Eigenvectors).
Comparative Statics and Concave Programming
284
13.1 Introduction to Comparative Statics. 13.2 Comparative
Statics with One Endogenous Variable. 13.3 Comparative
Statics with More Than One Endogenous Variable.
13.4 Comparative Statics for Optimization Problems.
13.5 Comparative Statics Used in Constrained Optimization.
13.6 The Envelope Theorem. 13.7 Concave Programming and
Inequality Constraints.
Integral Calculus: The Indefinite Integral
326
14.1 Integration. 14.2 Rules of Integration. 14.3 Initial
Conditions and Boundary Conditions. 14.4 Integration by
Substitution. 14.5 Integration by Parts. 14.6 Economic
Applications.
Integral Calculus: The Definite Integral
342
15.1 Area Under a Curve. 15.2 The Definite Integral.
15.3 The Fundamental Theorem of Calculus. 15.4 Properties of
Definite Integrals. 15.5 Area Between Curves. 15.6 Improper
Integrals. 15.7 L'Ho^ pital's Rule. 15.8 Consumers' and
Producers' Surplus. 15.9 The Definite Integral and Probability.
First-Order Differential Equations
362
16.1 Definitions and Concepts. 16.2 General Formula for
First-Order Linear Differential Equations. 16.3 Exact
Differential Equations and Partial Integration. 16.4 Integrating
Factors. 16.5 Rules for the Integrating Factor.
16.6 Separation of Variables. 16.7 Economic Applications.
16.8 Phase Diagrams for Differential Equations.
First-Order Difference Equations
391
17.1 Definitions and Concepts. 17.2 General Formula for
First-Order Linear Difference Equations. 17.3 Stability
Conditions. 17.4 Lagged Income Determination Model.
17.5 The Cobweb Model. 17.6 The Harrod Model.
17.7 Phase Diagrams for Difference Equations.
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