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Linear Algebra

via YouTube

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Details

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Provider

YouTube
Pricing

Free Video
Languages

English
Effort

7 hours
Sessions

Self-Paced
Level

Intermediate

Found in

Linear Algebra Courses

This course develops core linear algebra concepts from systems of linear equations and matrix operations through determinants, eigenvalues, orthogonality, and singular value decomposition. It includes computational methods such as Gaussian elimination, matrix diagonalization, and Gram-Schmidt orthogonalization, alongside selected proofs.

Syllabus

Linear Equations Introduction.
Solving Systems of Linear Equations.
Using Matrices to Solve Systems of Linear Equations.
Reduced Row Echelon Form.
Gaussian Elimination.
Existence and Uniqueness of Solutions.
Linear Equations Setup.
Matrix Addition and Scalar Multiplication.
Matrix Multiplication.
Properties of Matrix Multiplication.
Interpretations of Matrix Multiplication.
Introduction to Vectors (Math 210).
Solving Vector Equations.
Solving Matrix Equations.
Matrix Inverses.
Matrix Inverses for 2x2 Matrices.
Equivalent Conditions for a Matrix to be Invertible.
Properties of Matrix Inverses.
Transpose.
Symmetric and Skew-symmetric Matrices.
Trace.
The Determinant of a Matrix.
Determinant and Elementary Row Operations.
Determinant Properties..
Invertible Matrices and Their Determinants.
Eigenvalues and Eigenvectors.
Properties of Eigenvalues.
Diagonalizing Matrices.
Dot Product (Linear Algebra).
Unit Vectors.
Orthogonal Vectors.
Orthogonal Matrices.
Symmetric Matrices and Eigenvectors and Eigenvalues.
Symmetric Matrices and Eigenvalues and Eigenvectors - Proofs.
Diagonalizing Symmetric Matrices.
Linearly Independent Vectors.
Gram-Schmidt Orthogonalization.
Singular Value Decomposition - Introduction.
Singular Value Decomposition - How To Find It.
Singular Value Decomposition - Why It Works.