
Let V k a vector spaee ave a Fhel F. set of vectors rave is linea...
. Let V be a vector space and S a set. Let V$ = {f S V} on VS by be the set of all functions from S to V. Define addition and scalar multiplication (fg)(s) f(s) + g(s) and (af)(s) = af(s) for all a F, f,gE V, and s E S. Show that VS is a vector space
(1) Let S (v1, V2,..., Vn be a set of vectors in a vector space V. (a) Define what does it mean for S to be linearly independent. (b) Define what does it mean for S to be a spanning set for V. (c) Define what does it mean for S to be a basis for v.
3 - 2 Let u= Note that {u, v, w} is an orthogonal set of vectors and w - -3 4 9 be a vector in subspace W, where W = Span{u, v, w}. Let y= 11 -27 Write y as a linear combination of u, v, and uw, i.e. y = ciu + cqũ + c3W. Answer: y=
Let V be the set of vectors [2x − 3y, x + 2y, −y, 4x] with x, y R2. Addition and scalar multiplication are defined in the same way as on vectors. Prove that V is a vector space. Also, point out a basis of it.
Let V be the set of vectors shown below V. a. If u andare in Visvin V? Why? b. Find a specific vector u in V and a specific scalare such that cu is not in V. a. If u and are in V, is vin? O A The vector u ov must be in V because V is a subset of the vector space R? OB. The vector uv may or may not be in V depending on the...
5. Let S = {vi, u2, , v) be a set of k vectors in Rn with k > n. Show that S cannot be a basis for Rn.
(3) (10 points) Let H and K be non-empty subsets of a vector space V. The sum of H and K, written H + K, is the set of all vectors in V that can be written as the sum of two vectors, one in H and the other in K: that is H + K = {W EVw = u + v, for some u E H and v EK}. Show that if H and K are subspaces of...
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,...
(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 ×...
Let A be an m × n matrix, let x Rn and let 0 be the zero vector in Rm. (a) Let u, v є Rn be any two solutions of Ax 0, and let c E R. Use the properties of matrix-vector multiplication to show that u+v and cu are also solutions of Ax O. (b) Extend the result of (a) to show that the linear combination cu + dv is a solution of Ax 0 for any c,d...