Efnisyfirlit

• Cover
• Title Page
• Copyright Page
• Contents
• CHAPTER 1 Review
  • 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.
• CHAPTER 2 Economic Applications of Graphs and Equations
  • 2.1 Isocost Lines.
  • 2.2 Supply and Demand Analysis.
  • 2.3 Income Determination Models.
  • 2.4 IS-LM Analysis.
• CHAPTER 3 The Derivative and the Rules of Differentiation
  • 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.
• CHAPTER 4 Uses of the Derivative in Mathematics and Economics
  • 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.
• CHAPTER 5 Calculus of Multivariable Functions
  • 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.
• CHAPTER 6 Calculus of Multivariable Functions in Economics
  • 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 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.
• CHAPTER 7 Exponential and Log arithmic Functions
  • 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.
• CHAPTER 8 Exponential and Logarithmic Functions in Economics
  • 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.
• CHAPTER 9 Differentiation of Exponential and Logarithmic Functions
  • 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.
• CHAPTER 10 The Fundamentals of Linear (or Matrix) Algebra
  • 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.
• CHAPTER 11 Matrix Inversion
  • 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.
• CHAPTER 12 Special Determinants and Matrices and Their Use in Economics
  • 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).
• CHAPTER 13 Comparative Statics and Concave Programming
  • 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.
• CHAPTER 14 Integral Calculus: The Indefinite Integral
  • 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.
• CHAPTER 15 Integral Calculus: The Definite Integral
  • 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’HÔpital’s Rule.
  • 15.8 Consumers’ and Producers’ Surplus.
  • 15.9 The Definite Integral and Probability.
• CHAPTER 16 First-Order Differential Equations
  • 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.
• CHAPTER 17 First-Order Difference Equations
  • 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.
• CHAPTER 18 Second-Order Differential Equations and Difference Equations
  • 18.1 Second-Order Differential Equations.
  • 18.2 Second-Order Difference Equations.
  • 18.3 Characteristic Roots.
  • 18.4 Conjugate Complex Numbers.
  • 18.5 Trigonometric Functions.
  • 18.6 Derivatives of Trigonometric Functions.
  • 18.7 Transformation of Imaginary and Complex Numbers.
  • 18.8 Stability Conditions.
• CHAPTER 19 Simultaneous Differential and Difference Equations
  • 19.1 Matrix Solution of Simultaneous Differential Equations, Part 1.
  • 19.2 Matrix Solution of Simultaneous Differential Equations, Part 2.
  • 19.3 Matrix Solution of Simultaneous Difference Equations, Part 1.
  • 19.4 Matrix Solution of Simultaneous Difference Equations, Part 2.
  • 19.5 Stability and Phase Diagrams for Simultaneous Differential Equations.
• CHAPTER 20 The Calculus of Variations
  • 20.1 Dynamic Optimization.
  • 20.2 Distance Between Two Points on a Plane.
  • 20.3 Euler’s Equation and the Necessary Condition for Dynamic Optimization.
  • 20.4 Finding Candidates for Extremals.
  • 20.5 The Sufficiency Conditions for the Calculus of Variations.
  • 20.6 Dynamic Optimization Subject to Functional Constraints.
  • 20.7 Variational Notation.
  • 20.8 Applications to Economics.
• CHAPTER 21 Optimal Control Theory
  • 21.1 Terminology.
  • 21.2 The Hamiltonian and the Necessary Conditions for Maximization in Optimal Control Theory.
  • 21.3 Sufficiency Conditions for Maximization in Optimal Control.
  • 21.4 Optimal Control Theory with a Free Endpoint.
  • 21.5 Inequality Constraints in the Endpoints.
  • 21.6 The Current-Valued Hamiltonian.
• CHAPTER 22 Series in Economics: Descriptive Statistics and Linear Regression
  • 22.1 Series.
  • 22.2 Properties of Summations.
  • 22.3 Descriptive Statistics: Frequency, Mean, and Variance.
  • 22.4 Probability: The Discrete Case.
  • 22.5 The Weighted Average.
  • 22.6 The Expected Value.
  • 22.7 Economic Applications: Regression Analysis.
• Excel Practice Excel Practice A
• Excel Practice B
• Additional Practice Problems
• Additional Practice Problems: Solutions
• Index

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