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A quick example calculating the column space and the nullspace of a matrix. Isabel K. Darcy Mathematics Department Applied Math and Computational Sciences.

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Presentation on theme: "A quick example calculating the column space and the nullspace of a matrix. Isabel K. Darcy Mathematics Department Applied Math and Computational Sciences."— Presentation transcript:

1 A quick example calculating the column space and the nullspace of a matrix. Isabel K. Darcy Mathematics Department Applied Math and Computational Sciences University of Iowa Fig from knotplot.com

2 Determine the column space of A =

3 Column space of A = span of the columns of A = set of all linear combinations of the columns of A

4 Column space of A = col A = col A = span,,, { } Determine the column space of A =

5 Column space of A = col A = col A = span,,, = c 1 + c 2 + c 3 + c 4 c i in R { } { } Determine the column space of A =

6 Column space of A = col A = col A = span,,, = c 1 + c 2 + c 3 + c 4 c i in R { } { } Determine the column space of A = Want simpler answer

7 Determine the column space of A = Put A into echelon form: R 2 – R 1  R 2 R 3 + 2R 1  R 3

8 Determine the column space of A = Put A into echelon form: And determine the pivot columns R 2 – R 1  R 2 R 3 + 2R 1  R 3

9 Determine the column space of A = Put A into echelon form: And determine the pivot columns R 2 – R 1  R 2 R 3 + 2R 1  R 3

10 Determine the column space of A = Put A into echelon form: And determine the pivot columns R 2 – R 1  R 2 R 3 + 2R 1  R 3

11 Determine the column space of A = Put A into echelon form: A basis for col A consists of the 3 pivot columns from the original matrix A. Thus basis for col A = R 2 – R 1  R 2 R 3 + 2R 1  R 3 {}

12 Determine the column space of A = A basis for col A consists of the 3 pivot columns from the original matrix A. Thus basis for col A = Note the basis for col A consists of exactly 3 vectors. {}

13 Determine the column space of A = A basis for col A consists of the 3 pivot columns from the original matrix A. Thus basis for col A = Note the basis for col A consists of exactly 3 vectors. Thus col A is 3-dimensional. {}

14 Determine the column space of A = {} col A contains all linear combinations of the 3 basis vectors: col A = c 1 + c 2 + c 3 c i in R

15 Determine the column space of A = {} col A contains all linear combinations of the 3 basis vectors: col A = c 1 + c 2 + c 3 c i in R = span,, {}

16 Determine the column space of A = {} col A contains all linear combinations of the 3 basis vectors: col A = c 1 + c 2 + c 3 c i in R = span,, {} Can you identify col A?

17 Determine the nullspace of A = Put A into echelon form and then into reduced echelon form: R 2 – R 1  R 2 R 3 + 2R 1  R 3 R 1 + 5R 2  R 1 R 2 /2  R 2 R 1 + 8R 3  R 1 R 1 - 2R 3  R 1 R 3 /3  R 3

18 Nullspace of A = solution set of Ax = 0

19 Solve: A x = 0 where A = Put A into echelon form and then into reduced echelon form: R 2 – R 1  R 2 R 3 + 2R 1  R 3 R 1 + 5R 2  R 1 R 2 /2  R 2 R 1 + 8R 3  R 1 R 1 - 2R 3  R 1 R 3 /3  R 3

20 Solve: A x = 0 where A ~ x 1 x 2 x 3 x 4 000000 x 1 -2 x 4 -2 x 2 -2 x 4 -2 x 3 - x 4 -1 x 4 x 4 1 = = x4x4

21 Solve: A x = 0 where A ~ x 1 x 2 x 3 x 4 000000 x 1 -2 x 4 -2 x 2 -2 x 4 -2 x 3 - x 4 -1 x 4 x 4 1 = = x4x4 Thus Nullspace of A = Nul A = x 4 x 4 in R { }

22 Solve: A x = 0 where A ~ x 1 x 2 x 3 x 4 000000 Thus Nullspace of A = Nul A = x 4 x 4 in R = span {}{}


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