Chapter 3: Q44E (page 121)
Consider a matrix A, and let B = rref(A).
a). Is ker(A) necessarily equal to ker(B)? Explain.
b). Is im(A) necessarily equal to im(B)? Explain.
Short Answer
a) ker(A) is equal to ker(B).
b) im(A) is not equal to im(B).
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Chapter 3: Q44E (page 121)
Consider a matrix A, and let B = rref(A).
a). Is ker(A) necessarily equal to ker(B)? Explain.
b). Is im(A) necessarily equal to im(B)? Explain.
a) ker(A) is equal to ker(B).
b) im(A) is not equal to im(B).
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Consider a linear transformation T fromto and some linearly dependent vectorsin. Are the vectorsrole="math" localid="1659357833635" necessarily linearly dependent? How can you tell?
An n 脳 n matrix A is called nilpotent iffor some positive integer m. Examples are triangular matrices whose entries on the diagonal are all 0. Consider a nilpotent n 脳 n matrix A, and choose the smallest number 鈥榤鈥 such that . Pick a vector in such that . Show that the vectorsare linearly independent.
Hint: Consider a relation . Multiply both sides of the equation with to show . Next, show that,and so on.
Find a basis of the kernel of the matrix
Justify your answer carefully; that is, explain how you know that the vectors you found are linearly independent and span the kernel.
In the accompanying figure, sketch the vectorwith , where is the basis of consisting of the vectors.
In Exercises 37 through 42 , find a basis of such that the of the given linear transformation T is diagonal.
Orthogonal projection T onto the plane in.
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