4. Consider the vector space V = R3 and the matrix 2 -1 -1 2 -1 -1 0 2 We can define an inner product on V by (v, w) =...
QUESTION 2 Consider the vector space R3 (2.1) Show that (12) ((a, b, c), (x, v, z))-at +by +(b+ c)(y + z) is an inner product on R3 (2.2) Apply the Gram-Schmıdt process to the following subset of R3 (12) to find an orthogonal basis wth respect to the inner product defilned in question 2.1 for the span of this subset (2.3) Fınd all vectors (a, b, c) E R3 whuch are orthogonal to (1,0, 1) wnth respect to the...
(1 point) Consider the complex inner product space C with the usual inner product Let -4i 4i and let w = span(vi,V2). (a) Compute the following inner products: (v.vi)- 2 (Vi, V2-12 (2. V)12 (b) Apply the Gram-Schmidt procedure to Vi and v2 to find an orthogonal basis (ui,u2l for W , u2=1112
9 -4 0 0 A4 5 2 0 0 0 1 2 and consider the vector space R4 with the inner product given by v, w)Aw. Let 0 0 -2 and let W span(Vi, V2, V3 ). In this problem, you will apply the Gram-Schmidt procedure to vi, v2, v3 to find an orthogonal basis (u, u2, u31 for W (with respect to the above inner product). b) Compute the following inner products. (v2, u1) - Then u2 =Y2__v2.ul) ui,...
Hi, could you post solutions to the following questions. Thanks. 2. (a) Let V be a vector space on R. Give the definition of a subspace W of V 2% (b) For each of the following subsets of IR3 state whether they are subepaces of R3 or not by clearly explaining your answer. 2% 2% (c) Consider the map F : R2 → R3 defined by for any z = (zi,Z2) E R2. 3% 3% 3% 3% i. Show that...
1). Let V be an n-dimensional inner product space, let L be a linear transformation L : V + V. a) Define for inner product space V the phrase "L:V - V" is an orthogonal transforma- tion". b) Define "orthogonal matrix" b) If v1, ..., Vn is an orthonormal basis for V define the matrix of L relative to this basis and prove that it is an orthogonal matrix A.
c and d only 2. Consider the vector space R3 with the standard inner product and the standard norm |x| x, x) Use the formula for projection given in Chapter 5, Section 4.2 of LADW to find the matrix of orthogonal projection P onto the column space of the matrix -) 1 1 A = 2 4 (a) What is the projection matrix P? (b) What is the size of P? (c) Since the dimension of the column space of...
6. (15 pts) Consider an inner product on the vector space P2[-1, 1] of polynomials of degree 2 or less in the closed interval [-1, 1], defined as follows: (f, 9) = | f(t)g(t) dt, for all f, ge P2[-1, 1]. Apply the Gram-Schmidt process to the basis {3, t – 2,t2 + 1} to obtain an {x1, X2, X3} = %3D orthonormal basis.
Problem 1. Let the inner product (,) be defined by (u.v)xu (x)v (x) dx, and let the norm Iilbe defined by lIul-)Corhe target funtio), and work with the approximating space P4 Use Gram-Schmidt orthogonalization with this inner product to find orthogonal polynomials (x) through degree four. Standardize your polynomials such that p: (1) 1. (a) Form the five-by-five Gram matrix for this inner product with the basis functions p (x) degree 4 approximation o f (x) using the specified norm,...
1.(16) Let P be an inner product space with an inner product defined as <.g > Ox)g(x)dx a) Let / =1+x.8=-2+x-x. Compute: <.8 >. The angle between / and g, and proj, b) Let h=1+ mx' in P Find m such that and h are orthogonal c) Let B = (1+x.I-XX+X' is a basis for P. Use the Gram-Schmidt process to covert B to an orthogonal basis for P. 2. Suppose and ware vectors in an inner product space V...
[A] Consider the inner product space obtained by equipping ?[0,2] with the inner product given below: 〈?(?),?(?)〉 = ∫ ?(?)?(?)?? 2 0 Determine the value of each of the following (simplifying where possible; no decimals). You do not have to show the steps of calculating the integrals, but must at least write the integrals used in your calculations. (A.1) 〈?,1〉 (A.2) ‖ ? − 1 ‖ (A.3) ?(??,?? + 10), i.e. the distance between ?? and ?? +...