Flux across curves in a vector field Consider the vector Field F = 〈 y, x 〉 shown in the figure. a. Compute the outward flux across the quarter circle C : r (t) = 〈2 cos t , 2 sin t ), for 0 ≤ t ≤ π /2 . b. Compute the outward flux across the quarter circle C : r (t) = 〈2 cos t , 2 sin t ), for π /2 ≤ t ≤ π. c. Explain why the flux across the quarter circle in the third quadrant equals the flux computed in part (a). d. Explain why the flux across the quarter circle in the fourth quadrant equals the flux computed in part (b). e. What is the outward flux across the full circle?
Flux across curves in a vector field Consider the vector Field F = 〈 y, x 〉 shown in the figure. a. Compute the outward flux across the quarter circle C : r (t) = 〈2 cos t , 2 sin t ), for 0 ≤ t ≤ π /2 . b. Compute the outward flux across the quarter circle C : r (t) = 〈2 cos t , 2 sin t ), for π /2 ≤ t ≤ π. c. Explain why the flux across the quarter circle in the third quadrant equals the flux computed in part (a). d. Explain why the flux across the quarter circle in the fourth quadrant equals the flux computed in part (b). e. What is the outward flux across the full circle?
Flux across curves in a vector field Consider the vector Field F = 〈y, x〉 shown in the figure.
a. Compute the outward flux across the quarter circle C: r(t) = 〈2 cos t, 2 sin t), for 0 ≤ t ≤ π/2.
b. Compute the outward flux across the quarter circle C: r(t) = 〈2 cos t, 2 sin t), for π/2 ≤ t ≤ π.
c. Explain why the flux across the quarter circle in the third quadrant equals the flux computed in part (a).
d. Explain why the flux across the quarter circle in the fourth quadrant equals the flux computed in part (b).
e. What is the outward flux across the full circle?
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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