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) The scalar λ is an eigenvalue of an n × n matrix A when there exists a vector x such that A x = λ x . (b) To find the eigenvalue(s) of an n × n matrix A. you can solve the characteristic equation det ( λ I − A ) = 0 .
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) The scalar λ is an eigenvalue of an n × n matrix A when there exists a vector x such that A x = λ x . (b) To find the eigenvalue(s) of an n × n matrix A. you can solve the characteristic equation det ( λ I − A ) = 0 .
Solution Summary: The author explains that the scalar lambda is an eigenvalue of an ntimes n matrix A when there is a nonzero vector x.
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) The scalar
λ
is an eigenvalue of an
n
×
n
matrix A when there exists a vector x such that
A
x
=
λ
x
.
(b) To find the eigenvalue(s) of an
n
×
n
matrix A. you can solve the characteristic equation
det
(
λ
I
−
A
)
=
0
.
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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