The Four Fundamental Subspaces and the Fundamental Theorem | Linear Algebra

Wrath of Math
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1.2 هزار بار بازدید - هفته قبل - We introduce the four fundamental
We introduce the four fundamental spaces associated with an mxn matrix A. These are the row space of A, the column space of A, the null space of A, and the null space of A transpose (also called the left null space of A). The row space and the null space of A are subspaces of R^n. The column space of A and the null space of A^T are subspaces of R^m. We'll then investigate the relationship between these spaces, and see how their dimensions can all be determined from the size of the matrix A and the rank of A. We then see that the fundamental spaces of the matrix come in orthogonal pairs, and in total we prove the fundamental theorem of linear algebra. #linearalgebra

Column Spaces of a Matrix Explained: Column Space of a Matrix Explained | ...
Find Basis for the Row Space: Finding Basis for the Row Space of a ...
Find Basis for the Column Space: Finding Basis for the Column Space of...
Find Null Space and Nullity of a Matrix: Find Null Space and Nullity of a Matr...

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Linear Algebra course: Linear Algebra
Linear Algebra exercises: Linear Algebra Exercises

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0:00 Intro
0:34 Row Space, Column Space, and Null Space
1:38 The Four Fundamental Spaces
3:59 Subspaces of R^?
6:11 The Dimensions of the Subspaces
10:51 Spaces as Orthogonal Complements
19:25 The Fundamental Theorem of Linear Algebra
21:02 Conclusion

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هفته قبل در تاریخ 1403/06/20 منتشر شده است.
1,266 بـار بازدید شده
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