Suppose that T: R³ → R³ is a linear transformation and that T(1, 1, 1) = (0,0, 0). Choose the option %3D that correctly completes each of the following statements. T [Select] onto. T(2, 2, 2) [ Select ] (0,0,0). • T(1,2, 3) [Select ] (0,0,0). rank(T) [Select ] equal to 2.
Suppose that T: R³ → R³ is a linear transformation and that T(1, 1, 1) = (0,0, 0). Choose the option %3D that correctly completes each of the following statements. T [Select] onto. T(2, 2, 2) [ Select ] (0,0,0). • T(1,2, 3) [Select ] (0,0,0). rank(T) [Select ] equal to 2.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Hi, I need help with this Linear Alebegra exercise, please. Thank you!
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T:
Is definitely not
Might be
Definitely is
T(2,2,2)___(0,0,0)
Might equal
Definitely does not equal
Definitely equals
T(1,2,3)___(0,0,0)
Might equal
Definitely does not equal
Definitely equals
rank(T)__equal to 2
Is definitely not
Might be
Definitely is
![Suppose that T: R³ → R³ is a linear transformation and that T(1, 1, 1) = (0,0,0). Choose the option
that correctly completes each of the following statements.
T [ Select ]
v onto.
T(2, 2, 2) [ Select ]
(0,0,0).
T(1, 2, 3) [ Select ]
(0,0,0).
rank(T) [Select ]
equal to 2.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe4798b99-57d8-49c4-99f2-a0d10bf3740f%2F06e198fb-3683-431a-9586-2867bde1c011%2F089lxl_processed.png&w=3840&q=75)
Transcribed Image Text:Suppose that T: R³ → R³ is a linear transformation and that T(1, 1, 1) = (0,0,0). Choose the option
that correctly completes each of the following statements.
T [ Select ]
v onto.
T(2, 2, 2) [ Select ]
(0,0,0).
T(1, 2, 3) [ Select ]
(0,0,0).
rank(T) [Select ]
equal to 2.
Expert Solution

Step 1
Given
Let be the matrix of
Then, since we have,
This implies,
T is onto provided span of columns of is equal to .
Now span of columns of matrix is:
Let,
Then,
Therefore,
Span of columns of matrix ,
Then span of columns of matrix is not equal to .
Therefore, is not onto.
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