de(V)e(A) 6· Lot V be a finite dimensional vector space, and T : V → V...
Prob 5. Suppose V is a finite-dimensional complex vector space, T E C(V) is diagonalizable, and all eigenvalues of T are strictly below 1 in absolute value. Given V, and u є V, what is limn oo (Tnt)?
Prob le m 5 (Bonus 2 points) Let V be a finite dimensional vector space. Suppose that T : V -» V is matrix representation with respect to every basis of V. Prove that the dimension of linear transform ation that has the same that T must be a scalar multiple of the identity transformation. You can assume V is 3 Prob le m 5 (Bonus 2 points) Let V be a finite dimensional vector space. Suppose that T :...
Let V be a finite-dimensional vector space and let T L(V) be an operator. In this problem you show that there is a nonzero polynomial such that p(T) = 0. (a) What is 0 in this context? A polynomial? A linear map? An element of V? (b) Define by . Prove that is a linear map. (c) Prove that if where V is infinite-dimensional and W is finite-dimensional, then S cannot be injective. (d) Use the preceding parts to prove...
Let T be a linear operator on a finite dimensional vector space with a matrix representation A = 1 1 0 0] 16 3 2 1-3 -1 0 a. (3 pts) Find the characteristic polynomial for A. b. (3 pts) Find the eigenvalues of A. C. (2 pts) Find the dimension of each eigenspace of A. d. (2 pts) Using part (c), explain why the operator T is diagonalizable. e. (3 pts) Find a matrix P and diagonal matrix D...
3. Let V be a finite dimensional inner product space, and suppose that T is a linear operator on this space. (i) Let B be an ordered orthonormal basis for V and let U be the linear operator on V determined by [U19 = (T);. Then, for all 01,09 € V, (01, T(02)) = (U(V1), v2) (ii) Prove that the conclusion of the previous part does not hold, in general, if the basis 8 is not orthonormal.
3. Let V be a finite dimensional vector space with a positive definite scalar product. Let A: V-> V be a symmetric linear map. We say that A is positive definite if (Av, v) > 0 for all ve V and v 0. Prove: (a) if A is positive definite, then all eigenvalues are > 0. (b) If A is positive definite, then there exists a symmetric linear map B such that B2 = A and BA = AB. What...
(2) Suppose that W is finite dimensional and T E (V, W). Prove that T is injective if and only if there exists SEC(W, V) such that ST is the identity map on V. (2) Suppose that W is finite dimensional and T E (V, W). Prove that T is injective if and only if there exists SEC(W, V) such that ST is the identity map on V.
Let V be a finite-dimensional vector space over C and T in L(V). Prove that the set of zeros of the minimal polynomial of T is exactly the same as the set of the eigenvalues of T.
8. Suppose V is an n-dimensional complex vector space. Suppose T E C(V) is such that 1,2, and 3 are the only distinct eigenvalues of T (a) Prove that the dimension of each generalized eigenspace of T is at most (n - 2). (b) Show that (T-1)"-2(T-21)"-"(7-31)"-"(a) = 0V, for all α є V. 8. Suppose V is an n-dimensional complex vector space. Suppose T E C(V) is such that 1,2, and 3 are the only distinct eigenvalues of T...
1. let V be a vector space and T an operator on V (i.e., a linear map T: V--> V). Suppose that T^2 - 5T +6I = 0, where I is the identity operator and 0 stands for the zero operator ... Read Section 3.E and 3.F V) 1. Let V be a vector space and T an operator on V (i.e., a linear map T: V -» Suppose that T2 - 5T + 61 = 0, where I is...