First part: We first check that the columns of
the matrix are linearly
independent.
To see this, suppose
Then,
Since
, we get
, so that
. Then,
and
shows
. hence, the columns are linearly independent.
We now perform Graham-Schmidt. Let
Finally, we let
Because of Graham-Schmidt, these three vectors form an
orthonormal basis for the column space of
. We let
be the matrix whose
columns are
.
Thus,
Second part: By orthonormality, the projection is
where
Hence, the projection is
A-o 2 13 -2 Use Gram-Schmidt process to find a matrix Q with the same column space 2019 Pablo Sob...
points PooleLinAlg4 5.3.017 1 The columns of Q were obtained by applying the Gram-Schmidt Process to the columns of A. Find the upper triangular matrix R such that A QR 2 10 6 5 A=110 10-3 , Q = Need Help?Read It Talk to a Tutor + -1 points PooleLinAJg4 5.3.018. The columns of Q were obtained by applying the Gram-Schmidt Process to the columns of A. Find the upper triangular matrix R such that A = QR. (Enter sqrt(n)...
2. Use the method of Gram-Schmidt to obtain an orthonormal basis for the column space of the matrix A- 01-2 A=121
for the subspace of R4 consisting of 4. Use the Gram-Schmidt process to find an orthonormal basis all vectors of the form ſal a + b [b+c] 5. Use the Gram-Schmidt process to find an orthonormal basis of the column space of the matrix [1-1 1 67 2 -1 3 1 A=4 1 91 [3 2 8 5 6. (a) Use the Gram-Schmidt process to find an orthonormal basis S = (P1, P2, P3) for P2, the vector space of...
The columns of Q were obtained by applying the Gram-Schmidt process to the columns of A. Find an upper triangular matrix R such that A = QR. gallon | A nos A vw ok o on (83) O A. R= OB. R=
4. O 0/2 points | Previous Answers 1/100 Submissions Used Use the Gram-Schmidt Process to find an orthogonal basis for the column space of the matrix. o 1 1 1 0-1 1 -1 0 -2/3 2/3 1/3 1/2 1/2 Need Help? Talk to Tutor Submit Answer Save Progress
5.4.14 Question Help The columns of Q were obtained by applying the Gram-Schmidt process to the columns of A. Find an upper triangular 1 matrix such that A=QR. 22 2 2 3 5 22 5 7 A = Q = 2 2 4 2 22 -4 -3 1 22 Select the correct choice below and fill in the answer boxes to complete your choice. (Simplify your answers. Type exact answers, using radicals as needed.) O B. R= O A. R=...
The columns of Q were obtained by applying the Gram-Schmidt process to the columns of A. Find an upper triangular matrix R such that A = QR. 2 37 A 5 7 -2 -21 awal- Select the correct choice below and fill in the answer boxes to complete your choice. (Simplify your answers. Type exact answers, using radicals as needed.) O A. R= OB. R=
The columns of Q were obtained by applying the Gram-Schmidt Process to the columns of A. Find the upper triangular matrix R such that A = QR. (Enter sqrt(n) for n .) A = 1 5 2 8 −1 −3 0 1 , Q = 1/ 6 1/ 3 2/ 6 0 −1/ 6 1/ 3 0 1/ 3 Find out R.
linear algebra problem
2. Consider the matrix c=110-3 10-3 10-3 o 10-3 (a) Apply the Gram-Schmidt process to the columns of C, using the standard inner prod- uct. (b) Repeat part (a), this time using 3-digit floating point arithmetic. Is the result an (approximately) orthonormal set?
2. Consider the matrix c=110-3 10-3 10-3 o 10-3 (a) Apply the Gram-Schmidt process to the columns of C, using the standard inner prod- uct. (b) Repeat part (a), this time using 3-digit floating...
Let A1 1 and b = {12, 6, 18)T (a) Use the Gram-Schmidt process to find an orthonormal basis for the column basis for the column space of A; (b) Factor A into a product QR, where Q has an orthonormal set of column vectors and R is upper triangular; (c) Solve the least squares problem Ax = b. Use the results from problem! (c) to find the least square solution of Ax = b