Linear Systems: Continuous Time

Related lectures (27)

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

Covers linear systems, diagonal and triangular matrices, and LU factorization.

Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.

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

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

Introduces key concepts in linear algebra, including matrices, operations, and numerical invariants.

Explores the diagonalization of symmetric matrices through orthogonal decomposition and the spectral theorem.

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

Covers the Singular Value Decomposition (SVD) in detail, including properties of matrices and system linearity.

Explores diagonalization in 3D linear algebra, covering conditions for diagonalizability and eigenvectors.