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Bookmark or Share- Khan AcademyLearn about matrices, their properties, and how to perform operations with them.
- Khan AcademyShowing that (transpose of A)(A) is invertible if A has linearly independent columns
- Khan AcademyShowing how ANY linear transformation can be represented as a matrix vector product
- Khan AcademyMatrix vector products. Introduction to the null space of a matrix. Null space 2: Calculating the null space of a matrix. Null space 3: Relation to linear independence. Column space of a matrix. Null space and column space basis. Visualizing a column space as a plane in R3.
- Khan AcademyLearn what matrices are and about their various uses: solving systems of equations, transforming shapes and vectors, and representing real-world situations. Learn how to add, subtract, and multiply matrices, and find the inverses of matrices.
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