Essential Mathematics for Economic Analysis -- MyLab Math with Pearson eText
5th Edition
Published on 6. September 2016
Book
Mixed media product
978-1-292-17598-0 (ISBN)
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Content
Sydsaeter Essential Mathematics for Economic Analysis - 5e TOC
Ch01: Essentials of Logic and Set Theory
1.1 Essentials of set theory
1.2 Some aspects of logic
1.3 Mathematical proofs
1.4 Mathematical induction
Ch02: 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 Summation
2.9 Rules for sums
2. 10 Newton's binomial formula
2. 11 Double sums
Ch03: Solving Equations
3.1 Solving equations
3.2 Equations and their parameters
3.3 Quadratic equations
3.4 Nonlinear equations
3.5 Using implication arrows
3.6 Two linear equations in two unknowns
Ch04: Functions of One Variable
4.1 Introduction
4.2 Basic 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
Ch05: 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
Ch06: Differentiation
6.1 Slopes of curves
6.2 Tangents and derivatives
6.3 Increasing and decreasing functions
6.4 Rates of change
6.5 A dash of 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
Ch07: Derivatives in Use
7.1 Implicit differentiation
7.2 Economic examples
7.3 Differentiating the inverse
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 and Newton's method
7. 11 Infinite sequences
7. 12 L'Hopital's Rule
Ch08: Single-Variable Optimization
8.1 Extreme points
8.2 Simple tests for extreme points
8.3 Economic examples
8.4 The Extreme Value Theorem
8.5 Further economic examples
8.6 Local extreme points
8.7 Inflection points
Ch09: Integration
9.1 Indefinite integrals
9.2 Area and definite integrals
9.3 Properties of definite integrals
9.4 Economic applications
9.5 Integration by parts
9.6 Integration by substitution
9.7 Infinite intervals of integration
9.8 A glimpse at differential equations
9.9 Separable and linear differential equations
Ch10: Topics in Financial Mathematics
10.1 Interest periods and effective rates
10.2 Continuous compounding
10.3 Present value
10.4 Geometric series
10.5 Total present value
10.6 Mortgage repayments
10.7 Internal rate of return
10.8 A glimpse at difference equations
Ch11: Functions of Many Variables
11.1 Functions of two variables
11.2 Partial derivatives with two variables
11.3 Geometric representation
11.4 Surfaces and distance
11.5 Functions of more variables
11.6 Partial derivatives with more variables
11.7 Economic applications
11.8 Partial elasticities
Ch12: Tools for Comparative Statics
12.1 A simple chain rule
12.2 Chain rules for many variables
12.3 Implicit differentiation along a level curve
12.4 More general cases
12.5 Elasticity of substitution
12.6 Homogeneous functions of two variables
12.7 Homogeneous and homothetic functions
12.8 Linear approximations
12.9 Differentials
12. 10 Systems of equations
12. 11 Differentiating systems of equations
Ch13: Multivariable Optimization
13.1 Two variables: necessary conditions
13.2 Two variables: sufficient conditions
13.3 Local extreme points
13.4 Linear models with quadratic objectives
13.5 The Extreme Value Theorem
13.6 The general case
13.7 Comparative statics and the envelope theorem
Ch14: Constrained Optimization
14.1 The Lagrange Multiplier Method
14.2 Interpreting the Lagrange multiplier
14.3 Multiple solution candidates
14.4 Why the Lagrange method works
14.5 Sufficient conditions
14.6 Additional variables and constraints
14.7 Comparative statics
14.8 Nonlinear programming: a simple case
14.9 Multiple inequality constraints
14. 10 Nonnegativity constraints
Ch15: Matrix and Vector Algebra
15.1 Systems of linear equations
15.2 Matrices and matrix operations
15.3 Matrix multiplication
15.4 Rules for matrix multiplication
15.5 The transpose
15.6 Gaussian elimination
15.7 Vectors
15.8 Geometric interpretation of vectors
15.9 Lines and planes
Ch16: Determinants and Inverse Matrices
16.1 Determinants of order 2
16.2 Determinants of order 3
16.3 Determinants in general
16.4 Basic rules for determinants
16.5 Expansion by cofactors
16.6 The inverse of a matrix
16.7 A general formula for the inverse
16.8 Cramer's Rule
16.9 The Leontief Model
Ch17: Linear Programming
17.1 A graphical approach
17.2 Introduction to Duality Theory
17.3 The Duality Theorem
17.4 A general economic interpretation
17.5 Complementary slackness
Ch01: Essentials of Logic and Set Theory
1.1 Essentials of set theory
1.2 Some aspects of logic
1.3 Mathematical proofs
1.4 Mathematical induction
Ch02: 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 Summation
2.9 Rules for sums
2. 10 Newton's binomial formula
2. 11 Double sums
Ch03: Solving Equations
3.1 Solving equations
3.2 Equations and their parameters
3.3 Quadratic equations
3.4 Nonlinear equations
3.5 Using implication arrows
3.6 Two linear equations in two unknowns
Ch04: Functions of One Variable
4.1 Introduction
4.2 Basic 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
Ch05: 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
Ch06: Differentiation
6.1 Slopes of curves
6.2 Tangents and derivatives
6.3 Increasing and decreasing functions
6.4 Rates of change
6.5 A dash of 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
Ch07: Derivatives in Use
7.1 Implicit differentiation
7.2 Economic examples
7.3 Differentiating the inverse
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 and Newton's method
7. 11 Infinite sequences
7. 12 L'Hopital's Rule
Ch08: Single-Variable Optimization
8.1 Extreme points
8.2 Simple tests for extreme points
8.3 Economic examples
8.4 The Extreme Value Theorem
8.5 Further economic examples
8.6 Local extreme points
8.7 Inflection points
Ch09: Integration
9.1 Indefinite integrals
9.2 Area and definite integrals
9.3 Properties of definite integrals
9.4 Economic applications
9.5 Integration by parts
9.6 Integration by substitution
9.7 Infinite intervals of integration
9.8 A glimpse at differential equations
9.9 Separable and linear differential equations
Ch10: Topics in Financial Mathematics
10.1 Interest periods and effective rates
10.2 Continuous compounding
10.3 Present value
10.4 Geometric series
10.5 Total present value
10.6 Mortgage repayments
10.7 Internal rate of return
10.8 A glimpse at difference equations
Ch11: Functions of Many Variables
11.1 Functions of two variables
11.2 Partial derivatives with two variables
11.3 Geometric representation
11.4 Surfaces and distance
11.5 Functions of more variables
11.6 Partial derivatives with more variables
11.7 Economic applications
11.8 Partial elasticities
Ch12: Tools for Comparative Statics
12.1 A simple chain rule
12.2 Chain rules for many variables
12.3 Implicit differentiation along a level curve
12.4 More general cases
12.5 Elasticity of substitution
12.6 Homogeneous functions of two variables
12.7 Homogeneous and homothetic functions
12.8 Linear approximations
12.9 Differentials
12. 10 Systems of equations
12. 11 Differentiating systems of equations
Ch13: Multivariable Optimization
13.1 Two variables: necessary conditions
13.2 Two variables: sufficient conditions
13.3 Local extreme points
13.4 Linear models with quadratic objectives
13.5 The Extreme Value Theorem
13.6 The general case
13.7 Comparative statics and the envelope theorem
Ch14: Constrained Optimization
14.1 The Lagrange Multiplier Method
14.2 Interpreting the Lagrange multiplier
14.3 Multiple solution candidates
14.4 Why the Lagrange method works
14.5 Sufficient conditions
14.6 Additional variables and constraints
14.7 Comparative statics
14.8 Nonlinear programming: a simple case
14.9 Multiple inequality constraints
14. 10 Nonnegativity constraints
Ch15: Matrix and Vector Algebra
15.1 Systems of linear equations
15.2 Matrices and matrix operations
15.3 Matrix multiplication
15.4 Rules for matrix multiplication
15.5 The transpose
15.6 Gaussian elimination
15.7 Vectors
15.8 Geometric interpretation of vectors
15.9 Lines and planes
Ch16: Determinants and Inverse Matrices
16.1 Determinants of order 2
16.2 Determinants of order 3
16.3 Determinants in general
16.4 Basic rules for determinants
16.5 Expansion by cofactors
16.6 The inverse of a matrix
16.7 A general formula for the inverse
16.8 Cramer's Rule
16.9 The Leontief Model
Ch17: Linear Programming
17.1 A graphical approach
17.2 Introduction to Duality Theory
17.3 The Duality Theorem
17.4 A general economic interpretation
17.5 Complementary slackness