Let T:R3 + Rbe the linear transformation that projects vectors orthogonally into the vector v =...
need help please 5) Let T be the linear transformation that projects vectors in Ronto the line through the vector I a) Find the where the standard unit vectors ē, ē, andē are sent by T. b) Use the answer to (a) to write the matrix for T c) Find the null space and column space of the matrix obtained in (b), d) Interpret your answer geometrically in terms of lines, planes or other subspaces on R
explain your answer please 2. Let T:R3 +R be the linear transformation whose standard matrix is 1 2 6 3 7 0 where b is a real number. (a) Compute the determinant of A in terms of b. (b) Find all values of such that the transformation is onto
Let x = [X1 X2 X3], and let T:R3 → R3 be the linear transformation defined by x1 + 5x2 – x3 T(x) - X2 x1 + 2x3 Let B be the standard basis for R3 and let B' = {V1, V2, V3}, where 4 4. ---- 4 and v3 -- 4 Find the matrix of T with respect to the basis B, and then use Theorem 8.5.2 to compute the matrix of T with respect to the basis B”....
2. (a) Let T be the linear transformation which projects R3 orthogonally onto the plane 2x+3y+4a-0. what are the eigenvalues and associated eigenspaces of T? Justify your answer (b) Does the linear transformation described in (a) have an inverse? Why, or why not? [10 pts] 2. (a) Let T be the linear transformation which projects R3 orthogonally onto the plane 2x+3y+4a-0. what are the eigenvalues and associated eigenspaces of T? Justify your answer (b) Does the linear transformation described in...
Please answer me fully with the details. Thanks! Let V and W be vector spaces, let B = (j,...,Tn) be a basis of V, and let C = (Wj,..., Wn) be any list of vectors in W. (1) Prove that there is a unique linear transformation T : V -> W such that T(V;) i E 1,... ,n} (2) Prove that if C is a basis of W, then the linear transformation T : V -> W from part (a)...
Find an example of a vector space V, and a linear transformation T : V + V such that R(T) = ker(T). Your vector space V must have dimension > 2. You may find it helpful to let V be a euclidean space and T a matrix transformation,
= Let T:R3 → Rº be the linear transformation given by T(x,y,z) = (x – 2, x + y, x + y + 2z) for all (x,y,z) e R3. Determine whether T is invertible or not. If T is invertible, find the inverse of T and compute inverse image of (1,1,1) under T.
Problem 3. Let V and W be vector spaces of dimensions n and m, respectively, and let T : V -> V be a linear transformation (a) Prove that for every pair of ordered bases B = (Ti,...,T,) of V and C = (Wi, ..., Wm) of W, then exists a unique (B, C)-matrix of T, written A = c[T]g. (b) For each n e N, let Pn be the vector space of polynomials of degree at mostn in the...
2. (a) Let T be the linear transformation which projects R^3 orthogonally onto the plane 2x+3y+4z = 0. What are the eigenvalues and associated eigenspaces of T? Justify your answer. (b) Does the linear transformation described in (a) have an inverse? Why, or why not?
7. Let T : V → W be a linear transformation, and let v1,v2,...,vn be vectors in V. Suppose that T (v1), T (v2), . . . , T (vn) are linearly independent. Show that v1, v2, . . . , vn are linearly independent.