5. A is a nonsingular matrix (that is A-exists) and suppose is an eigenvalue of A...
Suppose A is an eigenvalue of the matrix M with associated eigenvector v. Is v an eigenvector of Mk where k is any positive integer? If so, what would the associated eigenvalue be? Now suppose that the matrix A is nilpotent, i.e. A* integer k 2. Show that 0 is the only eigenvalue of A. [Hint: what is det (A)? This should help you decide that A has an eigenvalue of 0 in particular. Then you need to demonstrate that...
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
a) suppose that the nxn matrix A has its n eigenvalues arranged in decreasing order of absolute size, so that >>.... each eigenvalue has its corresponding eigenvector, x1,x2,...,xn. suppose we make some initial guess y(0) for an eigenvector. suppose, too, that y(0) can be written in terms of the actual eigenvectors in the form y(0)=alpha1.x1 +alpha2.x2 +...+alpha(n).x(n), where alpha1, alpha2, alpha(n) are constants. by considering the "power method" type iteration y(k+1)=Ay(k) argue that (see attached image) b) from an nxn...
suppose A is 5x5 matrix with eigenvector and an eigenvalue lambda= -1. The third row of A is what is k? 5 0 5 -15 [1 0 -1 k 20]
Assume all matricies are Mmxm(R) unless otherwise specified. 1. (1 point) Prove or disprove that the eigenvalues of A and AT are the same. 2. (2 points) Let A be a matrix with m distinct, non-zero, eigenvalues. Prove that the eigenvectors of A are linearly independent and span R”. Note that this means in this case) that the eigenvectors are distinct and form a base of the space. 3. (1 point) Given that is an eigenvalue of A associated with...
Let A∈ℝnxn, and suppose ?,?∈ℝ with ?≠0 such that ?+?i is an eigenvalue of ?. Suppose vectors ?,?∈ℝ? such that ?+?? is an eigenvector for ? associated with the eigenvalue ?+?i. Prove that vectors ? and ? are linearly independent.
4. (a) (6 marks) Let A be a square matrix with eigenvector v, and corresponding eigenvalue 1. Let c be a scalar. Show that A-ch has eigenvector v, and corresponding eigenvalue X-c. (b) (8 marks) Let A = (33) i. Find the eigenvalues of A. ii. For one of the eigenvalues you have found, calculate the corresponding eigenvector. iii. Make use of part (a) to determine an eigenvalue and a corresponding eigenvector 2 2 of 5 - 1
92 (a) The matrix A= 2 -5 -4 has an eigenvalue 2 -4 -5 Two of the entries of A are replaced by I, y so that it will not be convenient to find the eigenvalues by an application. 5 An eigenvector of A corresponding to the eigenvalue is 1 Find the value of and enter your answer in the box below. X= Number (b) Suppose that characteristic equation of a 8 x 8 matrix M is (1 - 2)4...
Please do number 2 Assume all matricies are Mmxm(R) unless otherwise specified. 1. (1 point) Prove or disprove that the eigenvalues of A and AT are the same. 2. (2 points) Let A be a matrix with m distinct, non-zero, eigenvalues. Prove that the eigenvectors of A are linearly independent and span R”. Note that this means in this case) that the eigenvectors are distinct and form a base of the space. 3. (1 point) Given that is an eigenvalue...
Problem 5, Show that if λ is an eigenvalue of a matrix A and v is the corresponding eigenvector, then eAtv is a solution of the ODE X AX.