Question 8 Let T: R4 R4 be the matrix transformation Incomplete 1 -1 2 1 answer
ID: 3036239 • Letter: Q
Question
Question 8 Let T: R4 R4 be the matrix transformation Incomplete 1 -1 2 1 answer 2 2 3 2 Marked out of T 1 0 10.00 1 -4 5 h Flag question Answer the following questions TRUE or FALSE. Justify your answers. Choose the most appropriate answer!!! T is 1-1 when h 5 The kernel of T consists only of the zero vector when h T is 1-1 when h range of Tequals R4 when h 2. T is onto when h 3 The kernel of T contains non-zero vectors when h 2. Please answer all parts of the question Choose Choose Choose Choose False ChooseExplanation / Answer
Let the given matrix be denoted by A. We will reduce A to its REREF as under:
Add -2 times the 1st row to the 2nd row
Add 2 times the 1st row to the 3rd row
Add -1 times the 1st row to the 4th row
Interchange the 2nd row and the 3rd row
Multiply the 2nd row by -1/3
Add 3 times the 2nd row to the 4th row
Multiply the 3rd row by -1
Add 1 times the 3rd row to the 4th row
Add 4/3 times 3rd row to 2nd row
Add 1 time 2nd row to the 1st row
Add -2 times 3rd row to the 1st row
Then the RREF of A is
1
0
0
2/3
0
1
0
-1/3
0
0
1
0
0
0
0
h-2
Multiply the 4th row by 1/3
Add -2/3 times the 4th row to the 1st row
Add 1/3 times the 4th row to the 2nd row.
Then the RREF of A changes further to I4.
This means that the columns of A are linearly independent. Hence T is 1-1.The statement is True
2. When h = 3, then also, the RREF of is I4 . Then Ker(T) = 0. The statement is True.
3. When h =2, the 4th row of the RREF of A is (0,0,0,0). Then the 4th column of A is a linear combination of its 1st and 2nd columns. In this case T cannot be 1-1. The statement is False.
4. When h 2, the RREF of A is I4. Then the columns of A span R4. Now, since the Range of T is same as Col(A) = R4, the statement is True.
4. When h = 3, then also, the RREF of is I4 . Then the columns of A span R4. Hence T is onto.
5. When h =2, the 4th row of the RREF of A is (0,0,0,0).Then Ker(T) = Ker(A) contains vectors whose 4th row is arbitrary. These vectors can be non-zero. The statement is True.
1
0
0
2/3
0
1
0
-1/3
0
0
1
0
0
0
0
h-2
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