5. (10pts) Let B (v1 (1,1,0), v2 (1,0,-1). v3 (0,1,-1)) be a basis of R3 Using the Gram-Schmidt process, find an orthogonal basis of R3. (You don't have to normalize the vectors.)
2. Let set S = {(1,0, 2), (2, 1, 0) and (0,3,3)}. S is a basis for Rs. Using the Gram-Schmidt orthonormalization process to set S, obtain an orthonormal basis B' for R. 3. Find a third order Fourier approximation for the function f(x) = T-X 2 on the interval [0, 21).
1. Use the Gram-Schmidt process to transform the given basis into an orthonormal basis. w= (1, 2, 1,0), w, = (1, 1, 2,0), W3 = (0,1,1, - 2), w4 = (1, 0, 3, 1)
linear algebra (a) Use Gram-Schmidt, (using the given vectors as labeled) to find an orthonormal basis for the span of 0 0 V3- (b) Use Gram-Schmidt, (using the given vectors as labeled) to find an orthonormal basis for the span of 0 V3-0 v2= (c) What can we conclude from the two examples computed above? Also, did you find one computation "easier than the other? If so, what do you think made it easier?
7. Consider the following matrix (a) Find the QR decomposition of A using the Gram Schmidt process. (b) Use the QR decomposition from (a) to find the least-squares solution to Ax = b where -3 7. Consider the following matrix (a) Find the QR decomposition of A using the Gram Schmidt process. (b) Use the QR decomposition from (a) to find the least-squares solution to Ax = b where -3
Question 4 (2 points) After applying the Gram-Schmidt algorithm to the vectors L1 = (3, 0, 3, 0), 2 = 1, 1,0, 0), 3 = : 0, 1,t, 1) (precisely in this order) where t is a parameter, one obtains an orthogonal basis {w1, w2, w3} of the subspace in R4. What is the last vector w3 obtained by the Gram-Schmidt algorithm? t, -9 27 t, 9 27 (ਉ - ੮, ਮੰਗ - 1) (ਸੰਨ + ਕt, + ਕt, +...
The set is a basis for a subspace W. Use the Gram-Schmidt process to produce an orthogonal basis for W. Assume the vectors are in the order X, and x2 The orthogonal basis produced using the Gram-Schmidt process for Wis. (Use a somma to separato vectors as needed.)
The set is a basis for a subspace W. Use the Gram-Schmidt process to produce an orthogonal basis for W. Assume the vectors are in the order x1X2 2 -511 9 The orthogonal basis produced using the Gram-Schmidt method for W is (Type a vector or list of vectors. Use a comma to separate vectors as needed.) The set is a basis for a subspace W. Use the Gram-Schmidt process to produce an orthogonal basis for W. Assume the vectors...
3. For the equation 24 = r, in 0 <<1,0<t<1, (1,0) = sin(x), on 0 SEST (0,1)=0, u(1. t) = 0, on 0 <t<1, (1) Using the separation of variables, find its solution.
9. Using theorem 12.3, find the three angles of the triangle with vertices P (1,0,-1), Q = (3,-2,0), and R (1,3, 3). a b 2 cose 9. Using theorem 12.3, find the three angles of the triangle with vertices P (1,0,-1), Q = (3,-2,0), and R (1,3, 3). a b 2 cose