Math 313: Introduction to Linear Algebra

FALL Semester 2018

Class Notes

Systems of Linear Equations. Row Operations

Row Reduction and Echelon Forms

Appendix Section 1.2

Vector Equations

The Matrix Equation Ax=b

Solutions Sets of Linear Systems

Linear Independence

Linear Transformations

Key Ideas in Chapter 1: Linear Equations and Chapter 3: Linear Transformations

Matrix Operations

The Inverse of a Matrix

Characterizations of Invertible Matrices

Introduction to Determinants

Properties of Determinants

Cramer`s rule, Volume and Linear Transformation

Vector Spaces and Subspaces.

Null Space and Column Space.

Linearly Independence Sets. Bases.

Coordinate Systems.

The Dimension of a Vector Space.

The Rank.

Eigenvalues and Eigenvectors.

Diagonalization.

Complex Vector Spaces. Complex Eigenvalues.

Inner Product, Length, and Orthogonality

Orthogonal Complements Theorem

Orthogonal Sets. Orthogonal Projections

Some Theorems Chapter 6

The Grand-Schmidt Process

Least-Squares Problems. Application to Linear Models

Inner Product Spaces

Diagonalization of Symmetric Matrices

Quadratic Forms

Constrained Optimization

The Singular Value Decomposition

Review Sheet Last Chapters