Lecture

Linear Algebra: Applications and Spaces

Related lectures (27)
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Linear Applications Overview
Explores linear applications, vector spaces, kernels, and invertibility in linear algebra.
Linear Algebra: Linear Transformations and Matrices
Explores linear transformations, matrices, kernels, and images in algebra.
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Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.
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Covers the basics of linear algebra, emphasizing the identification of subspaces through key properties.
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Explores matrix representations of linear maps and their invariance, using examples and special cases.
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Covers vector spaces, bases, and decomposition of vectors in R³.
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