This book and its companion (part II) present the elements of analysis and linear algebra used in financial models and in microeconomics. Functions of one and several variables and matrices are developed in part I and vector spaces, linear mappings and optimization methods are developed in part II. Instead of formal proofs as in mathematical books, we develop examples and economic illustrations of the use of the concepts presented in the book. The books complement “Probability in Finance” and “Stochastic Processes in Finance” providing a broad overview of the mathematics of financial models.
Description
Content
- Introduction
- Preliminaries
- Sets and subsets
- Binary relations
- Mappings
- Topology of R
- Functions of one variable
- Definitions and notations
- Limits and continuity
- Differentiation
- Logarithms and exponential functions
- Polynomial approximations and Taylor formula
- Integrals
- Integral of a step function
- General case
- Computations
- Improper integrals
- Matrices
- Definitions
- Elementary algebra on matrices
- Linear equations