Closed plane curves Consider the curve r ( t ) = ( a cos t + b sin t ) i + ( c cos t + d sin t ) j + ( e cos t + f sin t ) k , where a, b, c, d, e, and f are real numbers. It can be shown that this curve lies in a plane. 73. Find a general expression for a nonzero vector orthogonal to the plane containing the curve. r ( t ) = ( a cos t + b sin t ) i + ( c cos t + d sin t ) j + ( e cos t + f sin t ) k , where 〈 a, c, e 〉 × 〈 b, d, f 〉 ≠ 0 .
Closed plane curves Consider the curve r ( t ) = ( a cos t + b sin t ) i + ( c cos t + d sin t ) j + ( e cos t + f sin t ) k , where a, b, c, d, e, and f are real numbers. It can be shown that this curve lies in a plane. 73. Find a general expression for a nonzero vector orthogonal to the plane containing the curve. r ( t ) = ( a cos t + b sin t ) i + ( c cos t + d sin t ) j + ( e cos t + f sin t ) k , where 〈 a, c, e 〉 × 〈 b, d, f 〉 ≠ 0 .
Closed plane curvesConsider the curver(t) = (a cos t + b sin t)i + (c cos t + d sin t)j + (e cos t + f sin t)k, where a, b, c, d, e, and f are real numbers. It can be shown that this curve lies in a plane.
73. Find a general expression for a nonzero vector orthogonal to the plane containing the curve.
r
(
t
)
=
(
a
cos
t
+
b
sin
t
)
i
+
(
c
cos
t
+
d
sin
t
)
j
+
(
e
cos
t
+
f
sin
t
)
k
,
where 〈a, c, e〉 × 〈b, d, f〉 ≠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.
A factorization A = PDP 1 is not unique. For A=
7 2
-4 1
1
1
5 0
2
1
one factorization is P =
D=
and P-1
30
=
Use this information with D₁
=
to find a matrix P₁ such that
-
-1 -2
0 3
1
-
- 1
05
A-P,D,P
P1
(Type an integer or simplified fraction for each matrix element.)
Matrix A is factored in the form PDP 1. Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace.
30 -1
-
1 0 -1
400
0
0 1
A=
3 4 3
0 1 3
040
3 1 3
0 0
4
1
0
0
003
-1 0 -1
Select the correct choice below and fill in the answer boxes to complete your choice.
(Use a comma to separate vectors as needed.)
A basis for the corresponding eigenspace is {
A. There is one distinct eigenvalue, λ =
B. In ascending order, the two distinct eigenvalues are λ₁
...
=
and 2
=
Bases for the corresponding eigenspaces are {
and ( ), respectively.
C. In ascending order, the three distinct eigenvalues are λ₁ =
=
12/2
=
and 3 = Bases for the corresponding eigenspaces are
{}, }, and {
respectively.
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