4. Let A be the 6*6 diagonal matrix below. For each eigenvalue,
compute the multiplicity of λ as a root of the characteristic
polynomial and compare it to the dimension of the eigenspace
Eλ.
(x 0 0 0 0 0 0 x 0 0 0 0 0 0 y 0 0 0 0 0 0 x 0 0 0 0 0 0 z 0 0 0
0 0 0 x)
5. Let A be an 3*3 upper triangular matrix with...
1. What is the definition of an eigenvalue and eigenvector of a
matrix?
2. Consider the nonhomogeneous equationy′′(t) +y′(t)−6y(t) =
6e2t.
(a)Find the general solution yh(t)of the corresponding
homogeneous problem.
(b)Find any particular solution yp(t)of the nonhomogeneous
problem using the method of undetermined Coefficients.
c)Find any particular solution yp(t)of the nonhomogeneous
problem using the method of variation of Parameters.
(d) What is the general solution of the differential
equation?
3. Consider the nonhomogeneous equationy′′(t) + 9y(t)
=9cos(3t).
(a)Findt he general...
Which of the following statements is/are true?
1) If a matrix has 0 as an eigenvalue, then it is not
invertible.
2) A matrix with its entries as real numbers cannot have a
non-real eigenvalue.
3) Any nonzero vector will serve as an eigenvector for the
identity matrix.
(a) Find a 3×3 matrix A such that 0 is the only eigenvalue of A,
and the space of eigenvectors of 0 has dimension 1. (Hint: upper
triangular matrices are your friend!)
(b) Find the general solution to x' = Ax.
PLEASE SHOW YOUR WORK CLEARLY.
The eigenvalues of the coefficient matrix can be found by
inspection or factoring. Apply the eigenvalue method to find a
general solution of the system.
x'1 = 6x1 + 6x2 +
2x3
x'2 = -8x1 - 8x2 -
6x3
x'3 = 8x1 + 8x2 +
6x3
What is the general solution in matrix form?
x(t) =
Let A =
2
0
1
0
2
0
1
0
2
and eigenvalue λ1 = 3 and associated eigenvector v(1) = (1, 0,
1)t . Find the second dominant eigenvalue λ2 (or the approximation
to λ2) by the Wielandt Dflation method
Estimate the lowest eigenvalue pair of matrix A using the
Inverse Power Method
A = 2 8 10
8 4 5
10 5 7
starting with initial guess x0 = [1 1 1]T and εaλ ≤ 1%
2. For each 3*3 matrix and each eigenvalue below construct a
basis for the eigenspace Eλ.
A= (9 42 -30 -4 -25 20 -4 -28 23), λ = 1,3
A= (2 -27 18 0 -7 6 0 -9 8), λ = −1,2
3. Construct a 2×2 matrix with eigenvectors(4 3) and (−3 −2)
with eigen-values 2 and −3, respectively.