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Related lectures (27)

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Covers the definitions and properties of matrices, including matrix operations and determinants.

Covers calculations and algorithms for determining the determinant of a matrix, including permuting rows and multiplying by coefficients.

Explores matrix representations of linear maps and their invariance, using examples and special cases.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Explores properties of 3x3 matrices with real coefficients and determinant calculation methods.

Covers elementary matrices, their properties, and the algorithm to find the inverse of a matrix.

Covers matrix inversion and uniqueness in linear algebra, providing examples and verification methods.

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

Explores the composition of applications in mathematics and the importance of understanding their properties.

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