Let T: R² → R³ be a linear transformation, with corresponding matrix A. Let {A₁, A₂} be the column vectors of A. Suppose we have the reduced row echelon form of A: A. T is onto B. T is not onto A. T is one-to-one B. T is not one-to-one For each of the following statements, determine which cases could be true, based on the above information. The equation A = 0 could have... A. NO solutions B. ONE solution C. INFINITE solutions Let b € R³. The equation A = b could have... A. NO solutions B. ONE solution C. INFINITE solutions {A₁, A₂} could be... A. linearly independent B. linearly dependent rref(A) A. Span(A₁, A₂) = R³ B. Span(A₁, A₂) # R³ - 1 0 0 00

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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Let T: R² → R³ be a linear transformation, with corresponding matrix A.
Let {A₁, A₂} be the column vectors of A.
Suppose we have the reduced row echelon form of A:
A. T is onto
B. T is not onto
A. T is one-to-one
B. T is not one-to-one
For each of the following statements, determine which cases could be true, based on the above information.
The equation A = 0 could have...
A. NO solutions
B. ONE solution
C. INFINITE solutions
Let b € R³. The equation A = b could have...
A. NO solutions
B. ONE solution
C. INFINITE solutions
{A₁, A₂} could be...
A. linearly independent
B. linearly dependent
rref(A)
Ā. Span(Ã₁, Ã₂) = R³
OB. Span(A₁, A₂) = R³
-
1 0
0
00
Transcribed Image Text:Let T: R² → R³ be a linear transformation, with corresponding matrix A. Let {A₁, A₂} be the column vectors of A. Suppose we have the reduced row echelon form of A: A. T is onto B. T is not onto A. T is one-to-one B. T is not one-to-one For each of the following statements, determine which cases could be true, based on the above information. The equation A = 0 could have... A. NO solutions B. ONE solution C. INFINITE solutions Let b € R³. The equation A = b could have... A. NO solutions B. ONE solution C. INFINITE solutions {A₁, A₂} could be... A. linearly independent B. linearly dependent rref(A) Ā. Span(Ã₁, Ã₂) = R³ OB. Span(A₁, A₂) = R³ - 1 0 0 00
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