4. Let R3 be equipped with the dot product and let B = {(2,1,1),(0,4,-2),(3,5, -1)}. B...
4. Let R3 be equipped with the dot product and let B = {(2,1,1),(0,4,-2),(3,5, -1)}. Bis a basis for R3. Use the Gram-Schmidt process to convert B into an orthonormal basis.
4. Let R3 be equipped with the dot product and let B = {(2,1,1),(0,4,-2),(3,5, -1)}. B is a basis for Rs. Use the Gram-Schmidt process to convert B into an orthonormal basis.
6. Let R* be equipped with the dot product and let B = {(1,-1,1),(1,0,1),(1,1,2)). B is a basis for R3. Use the Gram-Schmidt process to convert B into an orthonormal basis.
Use the Gram-Schmidt process to transform the basis, B = {(1,2), (3, 4)} for R² into (a) an orthogonal basis for R and (b) an orthonormal basis for R using the Euclidean inner product; that is, dot product, and use vectors in the order in which they are given.
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) = v'Mw. where vt indicates the transpose. Please note this is NOT the standard dot product. It is a inner product different (a) (5 points) Apply the Gram-Schmidt process to the basis E = {e1,e2, e3} (the standard basis) to find an orthogonal basis B. 4. Consider the vector space...
4. Consider R2x2 with inner product (A, B) tr(ATB), and let V CR2x2 be the subspace 1 1 1 0 This is consisting of upper-triangular matrices. Let B= a basis for V. (You do not need to prove this.) (a) (8 points) Use the Gram-Schmidt procedure on 3 to find an orthonormal basis for V. Find projy (B) (b) (4 points) Let B= 4. Consider R2x2 with inner product (A, B) tr(ATB), and let V CR2x2 be the subspace 1...
22. Let R3 have the Euclidean inner product. Use theGram-Schmidt process to transform the basis (11, 12, uz) into an orthonormal basis. (a) u1 = (1, 1, 1), u2=(-1,1,0), uz =(1, 2, 1)
4 | , y-| 4 | and W be the subspace of R3 spanned by x and y 5. Let x 5c. Apply the Gram -Schmidt orthogonalization process to construct an orthonormal basis of W.
(3 points) Let 4 2 -4 -13 0.5 2 4 0 4.5 Use the Gram-Schmidt process to determine an orthonormal basis for the subspace of R4 spanned by x, y, and Z. (3 points) Let 4 2 -4 -13 0.5 2 4 0 4.5 Use the Gram-Schmidt process to determine an orthonormal basis for the subspace of R4 spanned by x, y, and Z.
#8. Let W be the subspace of R3 spanned by the two linearly independent vectors v1 = (-1,2,2) and v2 = (3, -3,0). (a) Use the Gram-Schmidt orthogonalization process to find an orthonormal basis for W. (b) Use part (a) to find the matrix M of the orthogonal projection P: R W . (c) Given that im(P) = W, what is rank(M)?