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Related lectures (25)

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Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.

Covers vector spaces, subspaces, linear combinations, and independence concepts with illustrative examples.

Covers singular vectors in Liouville CFT, focusing on representation theory and their implications in mathematical physics.

Explores linear dependence of vectors, demonstrating examples and conditions for collinearity.

Explores vector spaces, linear independence, and spanning sets in linear algebra.

Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.

Explores linear dependence theorems and proofs, emphasizing the importance of understanding linear dependence in linear algebra.

Covers linear independence, bases, change of basis, and vector representation.

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.

Explores specific solutions and modal base in a generalized conservative oscillator.