Question 6 1 pts A 3x3 matrix with real entries can have (select ALL that apply)...
The 2 x 2 matrix 1 = ( 43 II has two distinct real eigenvalues. 1. Give the characteristic polynomial for A in Maple notation in the form t^2 + a*t + b Characteristic polynomial = 2. Find the set of eigenvalues for A, enclosed in braces , ) with the two eigenvalues separated by a comma, like (-4, 7) Set of eigenvalues for A = 5 3. Find one eigenvector for each eigenvalue, using Maple > for vectors, e.g....
Problem 1: Consider the matrix 3 -2 -11 A = -1 2 -1 |-1 -2 3 a) Find the characteristic polynomial of A and show that A has an eigenvalue at zero. Find the other two eigenvalues of A. b) Find an eigenvector of A corresponding to all eigenvalue. c) Can you diagonalize this matrix?
Consider the matrix 3 -2 1 A 1 2 -1 1-2 3 a) Find the characteristic polynomial of A and show that A has an eigenvalue at zero. Find the other two eigenvalues of A b) Find eigenvectors of A corresponding to all eigenvalues c) Can you diagonalize this matrix?
4. (Extra credit, all hand work. Use your paper and attach.) Let A-and assume a,b,ct are positivs. 0 b c (a) Let f) denote the characteristic polynomial of A. Calculate it and show work. You should get (b) Prove that A has only one real eigenvalue, that it is positive, and that the other two eigenvalues of A must be conjugate complex numbers. Let eigenvalues. λ denote the real positive eigenvalue and let λ2 and λ3 denote the other two...
Review 4: question 1 Let A be an n x n matrix. Which of the below is not true? A. A scalar 2 is an eigenvalue of A if and only if (A - 11) is not invertible. B. A non-zero vector x is an eigenvector corresponding to an eigenvalue if and only if x is a solution of the matrix equation (A-11)x= 0. C. To find all eigenvalues of A, we solve the characteristic equation det(A-2) = 0. D)....
# 2: Consider the real symmetric matrix A= 4 1 a) What are the eigenvalues and eigenvectors. [Hint: Use wolframalpha.] b) What is the trace of A, what is the sum of the eigenvalues of A. What is a general theorem th c) The eigenvalues of A are real. What is a general theorem which assert conditions that t d) Check that the eigenvectors are real. What is a general theorem which asserts conditions th asserts equality? eigenvalues are real...
A real symmetric matrix B e Rnxn (i.e. BT = B) is said to be positive definite if all of its eigenvalues 11, 12, ..., In are positive. (Recall that is an eigenvalue of B if and only if there exits a nonzero vector t such that Bt = it). Show that B-1 is also positive definite. That is, you need to show that all the eigenvalues of B-1 are also positive. (Hint: consider equation Bt; = liti for all...
Question 1 1 pts Cis a 3x3 matrix with exactly two distinct eigenvalues, 11 and 12. Which of the following are possibilities for the algebraic and geometric multiplicities of l, and 12 as eigenvalues of C? (select ALL that apply) It is possible that 11 has algebraic multiplicity 2 and geometric multiplicity 2, and X2 has algebraic multiplicity 1 and geometric multiplicityo. It is possible that X has algebraic multiplicity 2 and geometric multiplicity 1, and 12 has algebraic multiplicity...
Question 4 [35 marks in totalj An n x n matrix A is called a stochastic matrix if it! satisfies two conditions: (i) all entries of A are non-negative; and (ii) the sum of entries in each column is one. If the (,) entry of A is denoted by any for ij € {1, 2,...,n}, then A is a stochastic matrix when alij 20 for all i and j and I j = 1 for all j. These matrices are...
i have some algebra questions. please give me all the correct answers. thank you Consider the vector space P1 aa+b:a,beR,ie the space of polynomials of degree at most 1. LetT: PiP1 bethe Then and T(4-4% If we identify these linear polynomials with vectors via then T(az +b)and hence T has matrix representation This matrix has characteristic polynomial From this we can determine that the linear transformation T has the set of eigenvalues in polynomial form, an associated set of eigenvectors...