Eigenvalue of a Matrix

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Covers matrix operations and properties, including eigenvalues and eigenvectors.

Covers the concept of the matrix of cofactors and a formula to calculate the inverse of a matrix.

Covers eigenvalues, eigenvectors, and matrix similarity for dynamic systems.

Showcases a non-diagonalizable matrix example and explores eigenvalues and eigenvectors.

Explores matrix similarity, eigenvalues, and diagonalization in linear algebra.

Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.

Covers fundamental linear algebra concepts like vector spaces and eigenvalues.

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

Introduces fundamental concepts in linear algebra, such as vector spaces and eigenvalues.

Covers linear algebra operations and applications, including matrix multiplication and eigenvalues.