14. Lét A be the matrix 1 2 3 4 A = 6. 8. 9 10 11 12 and let T: R4 → R³ be the linear transformation defined by T(x) = Ax. By referring to the Fundamental Theorem of Linear Algebra we know that %3D a. dim(ker(T)) + dim(Range(T)) b. Find a basis for ker(T) and a basis for Range(T). Based on the work done in part b we find that dim(ker(T)) = С. -
14. Lét A be the matrix 1 2 3 4 A = 6. 8. 9 10 11 12 and let T: R4 → R³ be the linear transformation defined by T(x) = Ax. By referring to the Fundamental Theorem of Linear Algebra we know that %3D a. dim(ker(T)) + dim(Range(T)) b. Find a basis for ker(T) and a basis for Range(T). Based on the work done in part b we find that dim(ker(T)) = С. -
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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Question

Transcribed Image Text:14. Let A be the matrix
1 2 3 4
A =
5 6 7 8
9 10 11 12
and let T: R4 → R³ be the linear transformation defined by T(x) = Ax.
By referring to the Fundamental Theorem of Linear Algebra we
know that
a.
dim(ker(T)) + dim(Range(T))
b. Find a basis for ker(T) and a basis for Range(T).
с.
Based on the work done in part b we find that dim(ker(T)) =

Transcribed Image Text:and dim(Range(T)) = _
ir
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