(5) Prove or give a countcrcxample: If A, B E Cnx"are sclf-adjoint, then AB is also self-adjoint. (6) Let V be a finitc-dimensional inner product space over C, and suppose that T E C(V) has the p...
4. From Axler's book: EXERCISE 4 of SECTION 9B. Suppose V is a real inner product space and T E C(V) is self-adjoint. Show that Tc is a self-adjoint operator on the inner product space Vc defined by the previous exercise. 4 4. From Axler's book: EXERCISE 4 of SECTION 9B. Suppose V is a real inner product space and T E C(V) is self-adjoint. Show that Tc is a self-adjoint operator on the inner product space Vc defined by...
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 T (V), and B be an orthonormal basis, so that M(T,B) (5+20 pts) Is T self-adjoint? Why/Why Not? (5+20 pts) Is T normal? Why/Why Not? . (10 pts/box with explanation) Now, let R E L(V) be a self-adjoint operator, SEL(V) a normal operator, and U E L(V) an operator that is neither self-adjoint nor normal; what properties do these operators have-mark R (if true only for F = R) / C (if true only for F = C)...
5. Let V be quadratic polynomials on the interval [-1,1], with the inner product 〈f,g):= | f(t)g(t)dt, and D VVfHf be the differentiation operator. (a) Find the Hermitian transpose (adjoint) D, which is determined by its action on a basis, by calculating D'(1), D*(x), D'(x2), explicitly. Find the eigenvalues and corresponding eigenfunctions of D* (c) Find (D) 5. Let V be quadratic polynomials on the interval [-1,1], with the inner product 〈f,g):= | f(t)g(t)dt, and D VVfHf be the differentiation...
Prob 2. Let T be a normal operator on a complex finite-dimensional inner product space V whose distinct eigenvalues are λι, 'Ak E C. For any u E V such that llul-1, show that j-1 for some nonnegative numbers a,, j-1,.,k, that sum up to 1 Prob 2. Let T be a normal operator on a complex finite-dimensional inner product space V whose distinct eigenvalues are λι, 'Ak E C. For any u E V such that llul-1, show that...
1. Let V be a vector space with bases B and C. Suppose that T:V V is a linear map with matrix representations Ms(T)A and Me(T) B. Prove the following (a) T is one-to-one iff A is one-to-one. (b) λ is an eigenvalue of T iff λ is an eigenvalue of B. Consequently, A and B have the same eigenvalues (c) There exists an invertible matrix V such that A-V-BV 1. Let V be a vector space with bases B...
LINEAR ALGEBRA: Sheldon Axler, “Linear Algebra Done Right” I only need the table completed with answers either (always true , sometimes, or no ) and short explanation if sometimes. 3, Let T e L(V), and 'B be an orthonormal basis, so that (5+20 pts) Is T self-adjoint? Why/Why Not? (5+20 pts) Is T normal? Why/Why Not? (10 pts/box with explanation) Now, let RE C(V) be a self-adjoint operator, SEL(V) a normal operator, and U E C(V) an operator that is...
Let V be a finite-dimensional inner product space. For an operator TEL(V), define its norm by ||T|:= max{||Tull VEV. ||0|| = 1}. (1) To explain this, note that {l|Tu ve V, || 0 || = 1} is a non-empty subset of [0,00). The expression max{||TV|| | V EV, ||0|| = 1} means the maximum, or largest, value in this set. In words, the norm of an operator describes the maximal amount that it 'stretches' (or shrinks) vectors. (a) (1 point)...
Let V be a finite dimensional vector space over R with an inner product 〈x, y〉 ∈ R for x, y ∈ V . (a) (3points) Let λ∈R with λ>0. Show that 〈x,y〉′ = λ〈x,y〉, for x,y ∈ V, (b) (2 points) Let T : V → V be a linear operator, such that 〈T(x),T(y)〉 = 〈x,y〉, for all x,y ∈ V. Show that T is one-to-one. (c) (2 points) Recall that the norm of a vector x ∈ 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.