Let V be a finite-dimensional vector space, and let B be a basis of
V. Show that there is an inner product on V for which B is
orthonormal.
Let V be a finite-dimensional vector space, and let B be a basis of V. Show...
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.
Let V be a finite-dimensional vector space, and let f :V + V be a linear map. Let also A be a matrix representation of f in some basis of V. As you know, any other matrix representation of f is similar to A. Show, conversely, that every matrix similar to A is a matrix representation of f with respect to some basis of V.
6. (10) Show that if W is a k-dimensional subspace of an inner product space V (not necessarily finite dimensional), then b - projwb is perpendicular to every vector in W. Here projwb is the orthogonal projection of b onto W. (Hint: Use the theorem that W has an orthonormal basis (a, a, .., ak), show that (b - projwbla) = 0, for all :)
Question 1. Let V be a finite dimensional vector space over a field F and let W be a subspace of Prove that the quotient space V/W is finite dimensional and dimr(V/IV) = dimF(V) _ dimF(W). Hint l. Start with a basis A = {wi, . . . , w,n} for W and extend it to a basis B = {wi , . . . , wm, V1 , . . . , va) for V. Hint 2. Our goal...
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...
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 and TE L(VV), such that, T30. a) Show that the spectrum of T is ơ(T)-{0} b) Show that T cannot be diagonalized (unless we are in the trivial case T O)
Please solve the math problem in detail. 8. Let V be a finite dimensional vector space over C, with a positive definite hermitian product. Let A: V→ V be a hermitian operator. Show that ltiA and 1-1A are invertible. [Hint: Ifu#0, show that IKHA) 8. Let V be a finite dimensional vector space over C, with a positive definite hermitian product. Let A: V→ V be a hermitian operator. Show that ltiA and 1-1A are invertible. [Hint: Ifu#0, show that...
Let V be a finite-dimensional complex vector space and let T from V to V be a linear transformation. Show that V is the direct sum of U and W where W and U are T-invariant subspaces and the restriction of T on U is nilpotent and the restriction of T on W is an isomorphism.
Problem 6. Let V be a vector space (a) Let (--) : V x V --> R be an inner product. Prove that (-, -) is a bilinear form on V. (b) Let B = (1, ... ,T,) be a basis of V. Prove that there exists a unique inner product on V making Borthonormal. (c) Let (V) be the set of all inner products on V. By part (a), J(V) C B(V). Is J(V) a vector subspace of B(V)?...