(4) Let V and W be vector spaces over R: consider the free vector space F(V × W) on the Cartesian product V x W of V and W. Given an element (v, w) of V x W, we view (v, w) as an element of F(V x W) via the inclusion map i : V x W F(V x W) Any element of F(V x W) is a finite linear combination of such elements (v, w) Warning. F(V ×...
Exercise 12.6.3 Let V and W be finite dimensional vector spaces over F, let U be a subspace of V and let α : V-+ W be a surjective linear map, which of the following statements are true and which may be false? Give proofs or counterexamples O W such that β(v)-α(v) if v E U, and β(v) (i) There exists a linear map β : V- otherwise (ii) There exists a linear map γ : W-> V such that...
Let V and W be finite dimensional vector spaces over R and T:V + W be linear. Let V be a subspace of V and Wo = T(V). (Select ALL that are TRUE) If T is surjective then Vo = {v EV : there is w E Wo such that T(v) = w} If T is injective then dim(VO) = dim(W). dim(ker(T) n Vo) = dim(VO) - dim(Wo).
Vectors pure and applied Exercise 11.5.9 Let U and V be finite dimensional spaces over F and let θ : U linear map. v be a (i) Show that o is injective if and only if, given any finite dimensional vector space W map : V W such that over F and given any linear map α : U-+ W, there is a linear (ii) Show that θ is surjective if and only if, given any finite dimensional vector space...
solution to 2 (ii) Show that the image of f is not a subspace of R 2. Let U, V, and W be vector spaces over the field k, and let f: Ux V- W be a bilinear map. Show that the image of f is a union of subspaces of W. 3. Let k be a field, and let U, V, and W be vector spaces over k. Recall that (ii) Show that the image of f is not...
Let V and W be two vector spaces over R and T:V + W be a linear transformation. We call a linear map S:W → V a generalized inverse of T if To SoT=T and SoToS = S. If V and W are finite dimensional, show that there exists a generalized inverse of T.
Let V and W be two vector spaces over R and T:V + W be a linear transformation. We call a linear map S: W → V a generalized inverse of T if To SOT = T and SoTo S = S. If V and W are finite dimensional, show that there exists a generalized inverse of T.
Let V and W be two vector spaces over R and T:V + W be a linear transformation. We call a linear map S: W → V a generalized inverse of T if To SOT = T and SoTo S = S. If T is an isomorphism, show that T-1 is the unique generalized inverse of T.
Q10.2 3 Points Let V and W be finite dimensional vector spaces over R and T:V + W be linear. Let Vo be a subspace of V and Wo = T(V). (Select ALL that are TRUE) If T is surjective then Vo = {v E V: there is w E Wo such that T(v) = w}. If T is injective then dim(V.) = dim(Wo). dim(ker(T) n ) = dim(V.) - dim(Wo). Save Answer
Let U,V,W be vector spaces over field F, and let S ∈ L(U,V) andT ∈ L(V,W). (a) Show that if T ◦ S is injective, then S is injective (b) Give an example showing that if T ◦ S is injective then T need not be injective. (c) Show that if T ◦ S is surjective, then T is surjective. (d) Give an example showing that if T ◦ S is injective then S need not be surjective.