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1
Introduction to Linear Algebra: Systems of Linear Equations
2
Understanding Matrices and Matrix Notation
3
Manipulating Matrices: Elementary Row Operations and Gauss-Jordan Elimination
4
Types of Matrices and Matrix Addition
5
Matrix Multiplication and Associated Properties
6
Evaluating the Determinant of a Matrix
7
The Vector Cross Product
8
Inverse Matrices and Their Properties
9
Solving Systems Using Cramer's Rule
10
Understanding Vector Spaces
11
Subspaces and Span
12
Linear Independence
13
Basis and Dimension
14
Change of Basis
15
Linear Transformations on Vector Spaces
16
Image and Kernel
17
Orthogonality and Orthonormality
18
The Gram-Schmidt Process
19
Finding Eigenvalues and Eigenvectors
20
Diagonalization
21
Complex, Hermitian, and Unitary Matrices
Description:
Explore the fundamental concepts of linear algebra in this comprehensive 3.5-hour video tutorial. Delve into the world of matrices, vector spaces, and abstract mathematical concepts that build upon calculus. Learn about systems of linear equations, matrix operations, determinants, vector cross products, and inverse matrices. Discover vector spaces, subspaces, linear independence, and basis. Investigate linear transformations, orthogonality, and the Gram-Schmidt process. Master eigenvalues, eigenvectors, and diagonalization. Conclude with an introduction to complex, Hermitian, and unitary matrices. Gain a solid foundation in linear algebra and its wide-ranging applications through clear explanations and examples.

Linear Algebra

Professor Dave Explains
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