2. Let W = { A € M2x2(IR) trace(A) = 0} W2 = { A € M2x2(IR) A = AT ). a) Show that W C M2x2(IR) is a subspace and find a basis for W. b) Find a basis for WinW2 and compute its dimension.
2. Let w-a b :a 2b-7c, a subset of M2 2x2 c d a) (5 points) Find a set of "vectors" in M2-2whose span is W b) (5 points) Show that the vectors in part (a) are linearly independent. c) ( point) Since Wis the span of the vectors obtained in part (a), we can conclude that W isa of M2x2. (See Theorem 4.1.2 in the 4.1 Part 2 notes)
Problem 5: Let V and W be vector spaces and let B = {V1, V2, ..., Un} CV be a basis for V. Let L :V + W be a linear transformation, and let Ker L = {2 € V: L(x)=0}. (a) If Ker L = {0}, show that C = {L(v1), L(02), ..., L(vn) } CW is a linearly independent set in W. (b) If C = {L(01), L(V2),..., L(Un)} C W is a linearly independent set in W,...
(12 points) Let vi = 1 and let W be the subspace of R* spanned by V, and v. (a) Convert (V. 2) into an ohonormal basis of W NOTE: If your answer involves square roots, leave them unevaluated. Basis = { (b) Find the projection of b = onto W (c) Find two linearly independent vectors in R* perpendicular to W. Vectors = 1
Let T:V→WT:V→W be an isomorphism. Prove that if {w⃗ 1,w⃗ 2,…,w⃗ n}{w→1,w→2,…,w→n} is a linearly independent set in WW, then the preimages of {w⃗ 1,w⃗ 2,…,w⃗ n}{w→1,w→2,…,w→n} is a linearly independent set in VV.
Let T :V → W be an isomorphism. Prove that if {ū1, ū2, ..., ūn} is a linearly independent set in W, then the preimages of {ū1, ū2, ... , ūn} is a linearly independent set in V.
Let V and W be vector spaces over F, and let f: V W be a linear transformation. (a) Prove that f is one-to-one if and only if f carries linearly independent (b) Suppose that f is one-to-one and that S is a subset of V. Prove that subsets of V to linearlv independent subsets of W S is linearly independent if and only if (S) is linearly independent.
4. Let V = R4, and let W = Spa ermine whether the set is linearly independent in V/W. Prove that your answer is correct.
We say that an nxn matrix is skew-symmetric if A^T=-A. Let W be the set of all 2x2 skew-symmetric matrices: W = {A in m2x2(R) l A^T=-A}. (a) Show that W is a subspace of M2x2(R) (b) Find a basis for W and determine dim(W). (c) Suppose T: M2x2(R) is a linear transformation given by T(A)=A^T +A. Is T injective? Is T surjective? Why or why not? You do not need to verify that T is linear. 3. (17 points)...
Problem 1: Let W = {p(t) € Pz : p'le) = 0}. We know from Problem 1, Section 4.3 and Problem 1, Section 4.6 that W is a subspace of P3. Let T:W+Pbe given by T(p(t)) = p' (t). It is easy to check that T is a linear transformation. (a) Find a basis for and the dimension of Range T. (b) Find Ker T, a basis for Ker T and dim KerT. (c) Is T one-to-one? Explain. (d) Is...