True or False? In Exercises 67 and 68, determine whether each statement is true or false. If a statement is true, give a reason or cite an appropriate statement from the text. If a statement is false, provide an example that shows the statement is not true in all cases or cite an appropriate statement from the text. (a) Geometrically, if λ is an eigenvalue of a matrix A and x is an eigenvector of A corresponding to λ , then multiplying x by A produce a vector λ x parallel to x . (b) If A is n × n matrix with an eigenvalue λ , then the set of all eigenvectors of λ is a subspace of R n .
True or False? In Exercises 67 and 68, determine whether each statement is true or false. If a statement is true, give a reason or cite an appropriate statement from the text. If a statement is false, provide an example that shows the statement is not true in all cases or cite an appropriate statement from the text. (a) Geometrically, if λ is an eigenvalue of a matrix A and x is an eigenvector of A corresponding to λ , then multiplying x by A produce a vector λ x parallel to x . (b) If A is n × n matrix with an eigenvalue λ , then the set of all eigenvectors of λ is a subspace of R n .
Solution Summary: The author explains that if lambda is an eigenvalue of a matrix A, then multiplying x by A produces.
True or False? In Exercises 67 and 68, determine whether each statement is true or false. If a statement is true, give a reason or cite an appropriate statement from the text. If a statement is false, provide an example that shows the statement is not true in all cases or cite an appropriate statement from the text.
(a) Geometrically, if
λ
is an eigenvalue of a matrix A and x is an eigenvector of A corresponding to
λ
, then multiplying x by A produce a vector
λ
x
parallel to
x
.
(b) If A is
n
×
n
matrix with an eigenvalue
λ
, then the set of all eigenvectors of
λ
is a subspace of
R
n
.
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
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