1 | -1 | 3 |
2 | -3 | 8 |
0 | 1 | -2 |
5 | -3 | 11 |
convert into Reduced Row Eschelon Form...
Add (-2 * row1) to row2
1 | -1 | 3 |
0 | -1 | 2 |
0 | 1 | -2 |
5 | -3 | 11 |
Add (-5 * row1) to row4
1 | -1 | 3 |
0 | -1 | 2 |
0 | 1 | -2 |
0 | 2 | -4 |
Divide row2 by -1
1 | -1 | 3 |
0 | 1 | -2 |
0 | 1 | -2 |
0 | 2 | -4 |
Add (-1 * row2) to row3
1 | -1 | 3 |
0 | 1 | -2 |
0 | 0 | 0 |
0 | 2 | -4 |
Add (-2 * row2) to row4
1 | -1 | 3 |
0 | 1 | -2 |
0 | 0 | 0 |
0 | 0 | 0 |
Add (1 * row2) to row1
1 | 0 | 1 |
0 | 1 | -2 |
0 | 0 | 0 |
0 | 0 | 0 |
reduced matrix is
there are 2 pivot entry at first and second column
so basis of row space are
.
.
.
reduced system is
.........free
.
general solution is
.
basis of null space is
.
.
.
.
.
.
.
.
1 | -1 | 3 |
5 | 2 | 1 |
0 | 1 | -2 |
-1 | -1 | 1 |
convert into
Reduced Row Eschelon Form...
Add (-5 * row1) to row2
1 | -1 | 3 |
0 | 7 | -14 |
0 | 1 | -2 |
-1 | -1 | 1 |
Add (1 * row1) to row4
1 | -1 | 3 |
0 | 7 | -14 |
0 | 1 | -2 |
0 | -2 | 4 |
Divide row2 by 7
1 | -1 | 3 |
0 | 1 | -2 |
0 | 1 | -2 |
0 | -2 | 4 |
Add (-1 * row2) to row3
1 | -1 | 3 |
0 | 1 | -2 |
0 | 0 | 0 |
0 | -2 | 4 |
Add (2 * row2) to row4
1 | -1 | 3 |
0 | 1 | -2 |
0 | 0 | 0 |
0 | 0 | 0 |
Add (1 * row2) to row1
1 | 0 | 1 |
0 | 1 | -2 |
0 | 0 | 0 |
0 | 0 | 0 |
reduced matrix is
there are 2 pivot entry at first and second column
so basis of column space are
.
.
.
.
take transpose
1 | 5 | 0 | -1 |
-1 | 2 | 1 | -1 |
3 | 1 | -2 | 1 |
convert into
Reduced Row Eschelon Form...
Add (1 * row1) to row2
1 | 5 | 0 | -1 |
0 | 7 | 1 | -2 |
3 | 1 | -2 | 1 |
Add (-3 * row1) to row3
1 | 5 | 0 | -1 |
0 | 7 | 1 | -2 |
0 | -14 | -2 | 4 |
Divide row2 by 7
1 | 5 | 0 | -1 |
0 | 1 | 1/7 | -2/7 |
0 | -14 | -2 | 4 |
Add (14 * row2) to row3
1 | 5 | 0 | -1 |
0 | 1 | 1/7 | -2/7 |
0 | 0 | 0 | 0 |
Add (-5 * row2) to row1
1 | 0 | -5/7 | 3/7 |
0 | 1 | 1/7 | -2/7 |
0 | 0 | 0 | 0 |
reduced system is
.........free
.........free
.
general solution is
.
basis of null space are
(1 point) Find a basis for the column space, row space and null space of the matrix 8 -4 4 -2 6 2 -5 -4 1 -1 -3 2 -1 Basis of column space: {T Basis of row space: OTT {{ Basis of row space: Basis of null space:
10 a) Find a basis and the dimension of the row space. b) Find a basis and the dimension of the column space. c) Find a basis and the dimension of the null space. d) Verify the Dimension Theorem for A e) Identify the Domain and Codomain if this is the standard matrix for a linear transformation f) What does the row space represent when this is viewed as a linear transformation? g) Does this represent a linear operator? Explain....
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Find both a basis for the row space and a basis for the column space of the given matrix A. 1 5 3 1 2 15 25 26 A basis for the row space is
Find an orthogonal basis for the column space of the matrix to the right. -1 5 5 1 -7 4 1 - 1 7 1 -3 -4 An orthogonal basis for the column space of the given matrix is O. (Type a vector or list of vectors. Use a comma to separate vectors as needed.) The given set is a basis for a subspace W. Use the Gram-Schmidt process to produce an orthogonal basis for 3 W. 6 -2 An...
The matrix A=[-17-51-85-21 is row equivalent to R=「1 3 5 15 45 75 1 -4 -12 -20 0 1. a. Find a basis for the row space of A, row(A) b. Write the sum of the 1st and 3rd row of A as a linear combination of your basis for row(A). 2. a. Find a basis for the column space of A, col(A) b. Write the difference if the 2nd and 4th column of A as a linear combination of...
Q1. Find a basis and dimension for row space, column space and null space for the matrix, -2 - 4 A= 3 6 -2 - 4 4 5 -6 -4 4 9 (Marks: 6)
1. Consider the following Linear transformation L : R5 + R5 represented in the standard basis via the following matrix: 1 7 4 1 A= 2 4 6 9 -4 0 3 4 3 3 6 12 0 1 9 8 7 9 -2 0 2 (a) Find a basis for Null(A), Col(A), and Row(A). (b) For each v in your basis for Col(A) find a vector u ER5 do that Au = v. (c) Show that the vectors you...
Find an orthogonal basis for the column space of the matrix to the right. 1 -1 -4 1 0 34 4 2 1 4 7 An orthogonal basis for the column space of the given matrix is { }. (Type a vector or list of vectors. Use a comma to separate vectors as needed.)