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Problem 6. Let V, W, and U be finite-dimensional vector spaces, and let T : V → W and S : W → U be linear transformations (a) Prove that if B-(Un . . . , v. . . . ,6) is a basis of V such that Bo-(Un .. . ,%) s a basis of ker(T) then (T(Fk+), , T(n)) is a basis of im(T) (b) Prove that if (w!, . . . ,u-, υ, . . . ,i)...
Problem 5. Let W and U be finite-dimensional vector spaces, and let T : W > W and S : W -> U be linear transformations. Prove that if rank(S o T) L W W such that S o T = So L. = rank(S), then there exists an isomorphism (,.. . , Vk) is a basis of ker(T), and let (w1, ., wr) is a basis of im(T) nker(S) if 1 ik Hint: Let B (vi,... , Vk,...,vj,) be...
Let V be a finite-dimensional inner product space, and let U and W be subspaces of V. Denote dim(V) = n, dim(U) = r, dim(W) = s. Recall that the proj and perp maps with respect to any subspace of V are linear transformations from V to V. Select all statements that are true. Note that not all definitions above may be used in the statements below If proju and perpu are both surjective, then n > 0 If perpw...
Q7 8 Points Let V, W, and U be three finite dimensional vector spaces over R and T:V + Wand S : W → U be two linear transformations. Q7.1 4 Points Show that null(So T) < null(T) + null(S) Please select file(s) Select file(s) Save Answer Q7.2 4 Points Show that rank(S • T) > rank(T) + rank(S) – dim(W) (Hint: Use part (1) at some point)
Q7 8 Points Let V, W, and U be three finite dimensional vector spaces over R and T:V + W and S : W + U be two linear transformations. Q71 4 Points Show that null(S o T) < null(T) + null(S) Please select file(s) Select file(s) Save Answer Q7.2 4 Points Show that rank(SoT) > rank(T) + rank(S) - dim(W) (Hint: Use part (1) at some point) Please select file(s) Select file(s) Save Answer
Let V, W, and U be three finite dimensional vector spaces over R and T:V + Wand S : W → U be two linear transformations. Show that rank( ST) > rank(T) + rank(S) - dim(W)
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.
Question 19: Linear Transformations Let S = {(u, v): 0 <u<1,0 <v<1} be the unit square and let RCR be the parallelogram with vertices (0,0), (2, 2), (3,-1), (5,1). a. Find a linear transformation T:R2 + R2 such that T(S) = R and T(1,0) = (2, 2). What is T(0, 1)? T(0,1): 2= y= b. Use the change of variables theorem to fill in the appropriate information: 1(4,)dA= S. ° Sºf(T(u, v)|Jac(T)| dudv JA JO A= c. If f(x, y)...
Let V, W, and U be three finite dimensional vector spaces over R and T:V + Wand S : W → U be two linear transformations. Show that null(SoT) < null(T) + null(S)
6. Let S and T both be linear transformations from a vector space V to itself. Let W be the set {v€ V: S(v) = T(v) }. Prove that W is a subspace of V.