Linear Algebra: Matrices and Operations

Related lectures (27)

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Covers the basics of linear algebra, including matrix operations and singular value decomposition.

Covers the matrix representations of linear applications and the equivalence between matrices.

Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.

Covers matrices, linear applications, vector spaces, and bijective functions.

Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.

Explores matrices, inverses, and their applications in linear algebra, emphasizing composition and transformation properties.

Covers matrix rank, determinant, and decomposition in linear algebra.

Explores linear applications, matrices, injectivity, unique solutions, and matrix operations.

Covers matrix operations, focusing on the product and inverse of matrices.

Covers the basics of matrix inversion, properties of matrix multiplication, and the uniqueness of matrix inverses.