Acquire the key mathematical skills you need to master and succeed in economics
Essential Mathematics for Economic Analysis, 6th edition by Sydsaeter, Hammond, Strom and Carvajal is a global best-selling text that provides an extensive introduction to all the mathematical tools you need to study economics at intermediate level.
This book has been applauded for its scope and covers a broad range of mathematical knowledge, techniques and tools, progressing from elementary calculus to more advanced topics. With a wealth of practice examples, questions and solutions integrated throughout, as well as opportunities to apply them in specific economic situations, this book will help you develop key mathematical skills as your course progresses.
Key features:
- Numerous exercises and worked examples throughout each chapter allow you to practise skills and improve techniques.
- Review exercises at the end of each chapter test your understanding of a topic, allowing you to progress with confidence.
- Solutions to exercises are provided in the book and online, showing you the steps needed to arrive at the correct answer.
The late 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 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.
Andres Carvajal is an Associate Professor in the Department of Economics at University of California, Davis.
Pearson, the world's learning company.
Autorentext
The late 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 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.
Andres Carvajal is an Associate Professor in the Department of Economics at University of California, Davis.
Inhalt
1 Essentials of Logic and Set Theory 1.1 Essentials of Set Theory 1.2 Essentials of Logic 1.3 Mathematical Proofs 1.4 Mathematical Induction Review Exercises
2 Algebra 2.1 The Real Numbers 2.2 Integer Powers 2.3 Rules of Algebra 2.4 Fractions 2.5 Fractional Powers 2.6 Inequalities 2.7 Intervals and Absolute Values 2.8 Sign Diagrams 2.9 Summation Notation 2.10 Rules for Sums 2.11 Newton's Binomial Formula 2.12 Double Sums Review Exercises
3 Solving Equations 3.1 Solving Equations 3.2 Equations and Their Parameters 3.3 Quadratic Equations 3.4 Some Nonlinear Equations 3.5 Using Implication Arrows 3.6 Two Linear Equations in Two Unknowns Review Exercises
4 Functions of One Variable 4.1 Introduction 4.2 Definitions 4.3 Graphs of Functions 4.4 Linear Functions 4.5 Linear Models 4.6 Quadratic Functions 4.7 Polynomials 4.8 Power Functions 4.9 Exponential Functions 4.10 Logarithmic Functions Review Exercises
5 Properties of Functions 5.1 Shifting Graphs 5.2 New Functions From Old 5.3 Inverse Functions 5.4 Graphs of Equations 5.5 Distance in The Plane 5.6 General Functions Review Exercises
II SINGLE-VARIABLE CALCULUS 6 Differentiation 6.1 Slopes of Curves 6.2 Tangents and Derivatives 6.3 Increasing and Decreasing Functions 6.4 Economic Applications 6.5 A Brief Introduction to Limits 6.6 Simple Rules for Differentiation 6.7 Sums, Products, and Quotients 6.8 The Chain Rule 6.9 Higher-Order Derivatives 6.10 Exponential Functions 6.11 Logarithmic Functions Review Exercises
7 Derivatives in Use 7.1 Implicit Differentiation 7.2 Economic Examples 7.3 The Inverse Function Theorem 7.4 Linear Approximations 7.5 Polynomial Approximations 7.6 Taylor's Formula 7.7 Elasticities 7.8 Continuity 7.9 More on Limits 7.10 The Intermediate Value Theorem 7.11 Infinite Sequences 7.12 L'Hôpital's Rule Review Exercises
8 Concave and Convex Functions 8.1 Intuition 8.2 Definitions 8.3 General Properties 8.4 First Derivative Tests 8.5 Second Derivative Tests 8.6 Inflection Points Review Exercises
9 Optimization 9.1 Extreme Points 9.2 Simple Tests for Extreme Points 9.3 Economic Examples 9.4 The Extreme and Mean Value Theorems 9.5 Further Economic Examples 9.6 Local Extreme Points Review Exercises
10 Integration 10.1 Indefinite Integrals 10.2 Area and Definite Integrals 10.3 Properties of Definite Integrals 10.4 Economic Applications 10.5 Integration by Parts 10.6 Integration by Substitution 10.7 Infinite Intervals of Integration Review Exercises
11 Topics in Finance and Dynamics 11.1 Interest Periods and Effective Rates 11.2 Continuous Compounding 11.3 Present Value 11.4 Geometric Series 11.5 Total Present Value 11.6 Mortgage Repayments 11.7 Internal Rate of Return 11.8 A Glimpse at Difference Equations 11.9 Essentials of Differential Equations 11.10 Separable and Linear Differential Equations Review Exercises
III MULTI-VARIABLE ALGEBRA 12 Matrix Algebra 12.1 Matrices and Vectors 12.2 Systems of Linear Equations 12.3 Matrix Addition 12.4 Algebra of Vectors 12.5 Matrix Multiplication 12.6 Rules for Matrix Multiplication 12.7 The Transpose 12.8 Gaussian Elimination 12.9 Geometric Interpretation of Vectors 12.10 Lines and Planes Review Exercises
13 Determinants, Inverses, and Quadratic Forms 13.1 Determinants of Order 2 13.2 Determinants of Order 3 13.3 Determinants in General 13.4 Basic Rules for Determinants 13.5 Expansion by Cofactors 13.6 The Inverse of a Matrix 13.7 A General Formula for The Inverse 13.8 Cramer's Rule 13.9 The Leontief Model 13.10 Eigenvalues and Eigenvectors 13.11 Diagonalization 13.12 Quadratic Forms Review Exercises
IV MULTI-VARIABLE CALCULUS 14 Multivariable Functions 14.1 Functions of Two Variables 14.2 Partial Derivatives with Two Variables 14.3 Geometric Representation 14.4 Surfaces and Distance 14.5 Functions of More Variables 14.6 Partial Derivatives with More Variables 14.7 Convex Sets 14.8 Concave and Convex Functions 14.9 Economic Applications 14.10 Partial Elasticities Review Exercises
15 Partial Derivatives in Use 15.1 A Simple Chain Rule 15.2 Chain Rules for Many Variables 15.3 Implicit Differentiation Along A Level Curve 15.4 Level Surfaces 15.5 Elasticity of Substitution 15.6 Homogeneous Functions of Two Variables 15.7 Homogeneous and Homothetic Functions 15.8 Linear Approximations 15.9 Differentials 15.10 Systems of Equations 15.11 Differentiating Systems of Equations Review Exercises
16 Multiple Integrals 16.1 Double Integrals Over Finite Rectangles 16.2 Infinite Rectangles of Integration 16.3 Discontinuous Integrands and Other Extensions 16.4 Integration Over Many Variables
V MULTI-VARIABLE OPTIMIZATION 17 Unconstrained Optimization 17.1 Two Choice Variables: Necessary Conditions 17.2 Two Choice Variables: Sufficient Conditions 17.3 Local Extreme Points 17.4 Linear Models with Quadratic Objectives 17.5 The Extreme Value Theorem 17.6 Functions of More Variables 17.7 Comparative Statics and the Envelope Theorem Review Exercises
18 Equality Constraints 18.1 The Lagrange Multiplier Method 18.2 Interpreting…