Let L n denote the left-endpoint sum using n subintervals and let R n denote the corresponding right—endpoint sum. In the following exercises, compute the indicated left and right 5111115 for the given functions on the indicated interval. 15. R 6 for f ( x ) = 1 x ( x − 1 ) on [2, 5]
Let L n denote the left-endpoint sum using n subintervals and let R n denote the corresponding right—endpoint sum. In the following exercises, compute the indicated left and right 5111115 for the given functions on the indicated interval. 15. R 6 for f ( x ) = 1 x ( x − 1 ) on [2, 5]
Let Ln denote the left-endpoint sum using n subintervals and let Rn denote the corresponding right—endpoint sum. In the following exercises, compute the indicated left and right 5111115 for the given functions on the indicated interval.
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.