Let {v1, ..., vk} ⊂ R n be nonzero mutually orthogonal vectors (i.e. every vector in the set is orthogonal to every other vector in the set) and define the n × k matrix A = [ v1 · · · vk ] . Show that the only solution to Ax = 0 is the trivial solution.
Let {v1,v2 ..., vk} be non-zero mutually orthogonal vectors in Rn . Then the vectors v1,v2 ..., vk are linearly independent(non-zero mutually orthogonal vectors are linearly independent). Let A the n × k matrix with v1,v2 ..., vk as columns and let X = (x1,x2,…xk)T be a solution to the equation AX = 0. Further, let vi = (ai1,ai2,…,ain)T(1 ≤ i ≤k). Then, we have x1a11+x2a21+…xkak1 = 0 for each i (1 ≤ i ≤k) so that x1v1 +x2v2 +…+xkvk = 0. However, since the vectors v1,v2 ..., vk are linearly independent , therefore, x1=x2=…=xk = 0 . Hence X = 0. Thus the equation AX = 0 has only a trivial solution.
Let {v1, ..., vk} ⊂ R n be nonzero mutually orthogonal vectors (i.e. every vector in...
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...
multi and optimization, please help Problem 3: Let ri be given n mutually orthogonal vectors in R", and zo E R" be also given. Find (a) the distance di from zo to H, := {TE Rn : ХТХǐ (b) the distance sk from zo to tiHi, 1-k < n (c) the distance mk from xo to k+iHi,1 S k < n (d) calculate sk + mk. 0) Problem 3: Let ri be given n mutually orthogonal vectors in R", and...
Problem 3: Let r be given n mutually orthogonal vectors in Rn, and ro E R be also given. Find: (a) the distance di from ao to Hi := {x E Rn·Xi Xi = 0 (b) the distance sk from 20 to nil Hi, 1 〈 k < n (c) the distance mk from ro to k+1Hi,1 S k< n (d) calculate skmk
(1 point) All vectors are in R". Check the true statements below: A. Not every orthogonal set in R™ is a linearly independent set. B. If a set S= {ui,...,Up} has the property that uiU;=0 whenever i+j, then S is an orthonormal set. C. If the columns of an m x n matrix A are orthonormal, then the linear mapping 1 → Ax preserves lengths. D. The orthogonal projection of y onto v is the same as the orthogonal projection...
(1 point) Suppose V1, V2, U3 is an orthogonal set of vectors in R. Let w be a vector in Span(V1, U2, U3) such that 01.01 = 33, U2 · U2 = 10.25, 03 · 03 = 36, W • V1 = 99, w · U2 = 71.75, w · Uz = -108, then w = Vi+ U2+ U3
חו (1 point) Suppose V1, V2, V3 is an orthogonal set of vectors in R Let w be a vector in span(V1, V2, V3) such that (v1,vi) = 24, (v2,v2) = 21, (V3, V3) = 9, (w,v) 120, (w, v2) = 147, (w,v3) -36, Vi+ V2+ then w= V3.
6.2.24 Justify each Assume all vectors are in R. Mark each statement True or False. Justify each answer a. Not every orthogonal set in Rn is linearly independent. O A. False. Orthogonal sets must be linearly independent in order to be orthogonal. O B. True. Every orthogonal set of nonzero vectors is linearly independent, but not every orthogonal set is linearly independent. O C. False. Every orthogonal set of nonzero vectors is linearly independent and zero vectors cannot exist in...
Suppose V1, V2, V3 is an orthogonal set of vectors in R5. Let w be a vector in span(V1, V2, V3) such that (V1, V1) = 51, (V2, V2) = 638, (V3, V3) = 36, (w, V1) = 153, (w, v2) = 4466, (w, V3) = -36, then W = _______ V1 + _______ V2+ _______ V3.
P4. Prove: If V = {V1, V2, ...,V) is a linearly indepen- dent set of vectors in R", and if W = {Wx+1, ...,wn} is a basis for the null space of the matrix A that has the vectors V1, V2, ..., Vk as its successive rows, then VUW = {V1, V2, ..., Vk, Wk+1,...,w.} is a basis for R". [Hint: Since V UW contains n vectors, it suffices to show that VUW is linearly independent. As a first step,...
Let I, Y ER" be two nonzero n-dimensional vectors and define the n x n matrix A = ty eigenvalues of A are 0 and y's Show that the