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Essential Mathematics for Economic Analysis

Essential Mathematics for Economic Analysis

Knut Sydsaeter | Peter Hammond | Arne Strom | AndrŽs Carvajal

(2016)

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Book Details

Abstract

ESSENTIAL MATHEMATICS FOR ECONOMIC ANALYSIS

Fifth Edition

 

An extensive introduction to all the mathematical tools an economist needs is provided in this worldwide bestseller.

 

“The scope of the book is to be applauded” Dr Michael Reynolds, University of Bradford

“Excellent book on calculus with several economic applications” Mauro Bambi, University of York

 

New to this edition:

  • The introductory chapters have been restructured to more logically fit with teaching.
  • Several new exercises have been introduced, as well as fuller solutions to existing ones.
  • More coverage of the history of mathematical and economic ideas has been added, as well as of the scientists who developed them.
  • New example based on the 2014 UK reform of housing taxation illustrating how a discontinuous function can have significant economic consequences.
  • The associated material in MyMathLab has been expanded and improved.

 

 

Knut Sydsaeter was Emeritus Professor of Mathematics in the Economics Department at the University of Oslo, where he had taught mathematics for economists for over 45 years.

Peter Hammond is currently a Professor of Economics at the University of Warwick, where he moved in 2007 after becoming an Emeritus Professor at Stanford University. He has taught mathematics for economists at both universities, as well as at the Universities of Oxford and Essex.

Arne Strom is Associate Professor Emeritus at the University of Oslo and has extensive experience in teaching mathematics for economists in the Department of Economics there.

Andrés Carvajal is an Associate Professor in the Department of Economics at University of California, Davis.


Table of Contents

Section Title Page Action Price
Cover Cover
Half Title Page i
Title Page iii
Copyright Page iv
Contents vii
Preface xi
Publisher’s Acknowledgements xvii
1 EssentialsofLogicand Set Theory 1
1.1 Essentials of Set Theory 1
1.2 Some Aspects of Logic 7
1.3 Mathematical Proofs 12
1.4 Mathematical Induction 14
Review Exercises 16
2 Algebra 19
2.1 The Real Numbers 19
2.2 Integer Powers 22
2.3 Rules of Algebra 28
2.4 Fractions 33
2.5 Fractional Powers 38
2.6 Inequalities 43
2.7 Intervals and Absolute Values 49
2.8 Summation 52
2.9 Rules for Sums 56
2.10 Newton’s Binomial Formula 59
2.11 Double Sums 61
Review Exercises 62
3 Solving Equations 67
3.1 Solving Equations 67
3.2 Equations and Their Parameters 70
3.3 Quadratic Equations 73
3.4 Nonlinear Equations 78
3.5 Using Implication Arrows 80
3.6 Two Linear Equations in Two Unknowns 82
Review Exercises 86
4 Functions of One Variable 89
4.1 Introduction 89
4.2 Basic Definitions 90
4.3 Graphs of Functions 96
4.4 Linear Functions 99
4.5 Linear Models 106
4.6 Quadratic Functions 109
4.7 Polynomials 116
4.8 Power Functions 123
4.9 Exponential Functions 126
4.10 Logarithmic Functions 131
Review Exercises 136
5 Properties of Functions 141
5.1 Shifting Graphs 141
5.2 New Functions from Old 146
5.3 Inverse Functions 150
5.4 Graphs of Equations 156
5.5 Distance in the Plane 160
5.6 General Functions 163
Review Exercises 166
6 Differentiation 169
6.1 Slopes of Curves 169
6.2 Tangents and Derivatives 171
6.3 Increasing and Decreasing Functions 176
6.4 Rates of Change 179
6.5 A Dash of Limits 182
6.6 Simple Rules for Differentiation 188
6.7 Sums, Products, and Quotients 192
6.8 The Chain Rule 198
6.9 Higher-Order Derivatives 203
6.10 Exponential Functions 208
6.11 Logarithmic Functions 212
Review Exercises 218
7 Derivatives in Use 221
7.1 Implicit Differentiation 221
7.2 Economic Examples 228
7.3 Differentiating the Inverse 232
7.4 Linear Approximations 235
7.5 Polynomial Approximations 239
7.6 Taylor’s Formula 243
7.7 Elasticities 246
7.8 Continuity 251
7.9 More on Limits 257
7.10 The Intermediate Value Theorem and Newton’s Method 266
7.11 Infinite Sequences 270
7.12 L’Hˆopital’s Rule 273
Review Exercises 278
8 Single-Variable Optimization 283
8.1 Extreme Points 283
8.2 Simple Tests for Extreme Points 287
8.3 Economic Examples 290
8.4 The Extreme Value Theorem 294
8.5 Further Economic Examples 300
8.6 Local Extreme Points 305
8.7 Inflection Points, Concavity, and Convexity 311
Review Exercises 316
9 Integration 319
9.1 Indefinite Integrals 319
9.2 Area and Definite Integrals 325
9.3 Properties of Definite Integrals 332
9.4 Economic Applications 336
9.5 Integration by Parts 343
9.6 Integration by Substitution 347
9.7 Infinite Intervals of Integration 352
9.8 A Glimpse at Differential Equations 359
9.9 Separable and Linear Differential Equations 365
Review Exercises 371
10 Topics in Financial Mathematics 375
10.1 Interest Periods and Effective Rates 375
10.2 Continuous Compounding 379
10.3 Present Value 381
10.4 Geometric Series 383
10.5 Total Present Value 390
10.6 Mortgage Repayments 395
10.7 Internal Rate of Return 399
10.8 A Glimpse at Difference Equations 401
Review Exercises 404
11 Functions of Many Variables 407
11.1 Functions of Two Variables 407
11.2 Partial Derivatives with Two Variables 411
11.3 Geometric Representation 417
11.4 Surfaces and Distance 424
11.5 Functions of More Variables 427
11.6 Partial Derivatives with More Variables 431
11.7 Economic Applications 435
11.8 Partial Elasticities 437
Review Exercises 439
12 Tools for Comparative Statics 443
12.1 A Simple Chain Rule 443
12.2 Chain Rules for Many Variables 448
12.3 Implicit Differentiation along a Level Curve 452
12.4 More General Cases 457
12.5 Elasticity of Substitution 460
12.6 Homogeneous Functions of Two Variables 463
12.7 Homogeneous and Homothetic Functions 468
12.8 Linear Approximations 474
12.9 Differentials 477
12.10 Systems of Equations 482
12.11 Differentiating Systems of Equations 486
Review Exercises 492
13 Multivariable Optimization 495
13.1 Two Choice Variables: Necessary Conditions 495
13.2 Two Choice Variables: Sufficient Conditions 500
13.3 Local Extreme Points 504
13.4 Linear Models with Quadratic Objectives 509
13.5 The Extreme Value Theorem 516
13.6 The General Case 521
13.7 Comparative Statics and the Envelope Theorem 525
Review Exercises 529
14 Constrained Optimization 533
14.1 The Lagrange Multiplier Method 533
14.2 Interpreting the Lagrange Multiplier 540
14.3 Multiple Solution Candidates 543
14.4 Why the Lagrange Method Works 545
14.5 Sufficient Conditions 549
14.6 Additional Variables and Constraints 552
14.7 Comparative Statics 558
14.8 Nonlinear Programming: A Simple Case 563
14.9 Multiple Inequality Constraints 569
14.10 Nonnegativity Constraints 574
Review Exercises 578
15 Matrix and Vector Algebra 581
15.1 Systems of Linear Equations 581
15.2 Matrices and Matrix Operations 584
15.3 Matrix Multiplication 588
15.4 Rules for Matrix Multiplication 592
15.5 The Transpose 599
15.6 Gaussian Elimination 602
15.7 Vectors 608
15.8 Geometric Interpretation of Vectors 611
15.9 Lines and Planes 617
Review Exercises 620
16 Determinants and Inverse Matrices 623
16.1 Determinants of Order 2 623
16.2 Determinants of Order 3 627
16.3 Determinants in General 632
16.4 Basic Rules for Determinants 636
16.5 Expansion by Cofactors 640
16.6 The Inverse of a Matrix 644
16.7 A General Formula for the Inverse 650
16.8 Cramer’s Rule 653
16.9 The Leontief Model 657
Review Exercises 661
17.1 A Graphical Approach 666
17.2 Introduction to Duality Theory 672
17.3 The Duality Theorem 675
17.4 A General Economic Interpretation 679
17.5 Complementary Slackness 681
Review Exercises 686
Appendix 689
Solutions to the Exercises 693
Index 801