A square matrix A of order nxn is said to be diagonalizable if A=PDP-1 where D is a nxn diagonal matrix and P is a nxn invertible matrix.
The diagonal entries of D are the eigen values of A.
is an eigen value of A of multiplicity n.
Thus, if A is diagonalizable then D= .
.
The converse part is obvious because if A= then A is itself a diagonal matrix .
This proves the result.
2) Let A be an nxn matrix with eigenvalue of multiplicity n. Show that Ais diagonalizable...
2) Let A be an nxn matrix with eigenvalue a of multiplicity n. Show that A is diagonalizable if and only if A= 21.
is diagonalizable if 2. Let A be an nxn matrix and B be an m xm matrix. Show that and only if both A and B are diagonalizable.
For the given Matrix B, find: 1. The algebraic multiplicity of each eigenvalue. 2. The geometric multiplicity of each eigenvalue. 3. The matrix B is it Diagonalizable? If YES, provide the matrices P and D. ( 22-1 B = 1 3 -1 (-1 -2 2
is an eigenvalue invertible matrix with X as an eigenvalue. Show that of A-1. Suppose v ER is a nonzero column vector. Let A (a) Show that v is an eigenvector of A correspond zero column vector. Let A be the n xn matrix vvT. n eigenvector of A corresponding to eigenvalue = |v||2. lat O is an eigenvalue of multiplicity n - 1. (Hint: What is rank A?) (b) Show that 0 is an eigenvalue of
DETAILS LARLINALG8 7.2.050. Show that the matrix is not diagonalizable. [ ] : 0 The matrix is not diagonalizable because it only has one linearly independent eigenvector. The matrix is not diagonalizable because it only has one distinct eigenvalue. The matrix is not diagonalizable because [*] is not an eigenvector. The matrix is not diagonalizable because k is not an eigenvalue.
A scalar matrix is simply a matrix of the form XI, where I is the nxn identity matrix. (a) Prove that if A is similar 1 to \I, then in fact A= \I. (b) Show that a diagonalizable matrix having only one eigenvalue is a scalar matrix. 1 100 100 (c) Prove that o 100 is not diagonalizable. 0 0 1 1
True False a) For nxn A, A and AT can have different eigenvalues. b) The vector v 0 cannot be an eigenvector of A. c) If λ's an eigenvalue of A, then λ2 is an eigenvalue of A2. True False d) If A is invertible, then A is diagonalizable. e) If nxn A is singular, then Null(A) is an eigenspace of A. f) For nxn A, the product of the eigenvalues is the trace of A. True False g) If...
1) Let A and B be nxn matrices. Show that if I is a nonzero eigenvalue of AB, then it is also an eigenvalue of BA.
ui l uentical . i Let A be a square matrix of order n and λ be an eigenvalue of A with geometric multiplicity k, where 1kn. Choose a basis B -(V1, v2,. .. , Vk) of &A) and extend this to a basis B of R". (1) Show that the matrix of the linear transformation x Ax on R" induced by the matrix A with respect the basis B on both the domain and codomain is: ui l uentical...
estion 3 Let A be an n x n symmetric matrix. Then, which of the following is not true? a) A is diagonalizable. b) If I is an eigenvalue of A with multiplicity k, then the eigenspace of has dimension k c) Some eigenvalues of A can be complex. d) All eigenvalues of A are real.