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1-1 1 (1 2) 1.4) Find the QR decomposition of the matrix A = | 1

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Answer #1

Answer:) We see that the three vectors making up A, which are

\mathbf{a} = (1, 1, 1); \mathbf{b} = (-1,1,0); \mathbf{c} = (1,2,1)

are linearly independent (since \mathbf{a \cdot b \times c} \neq \mathbf{0} , which means they are non-coplanar, and hence independent in 3D), we can form an orthonormal basis out of them:

  1. \mathbf{\hat{e}}_1 = \dfrac{\mathbf{a}}{||\mathbf{a}||} = \dfrac{1}{\sqrt{3}}(1,1,1)
  2. en

  3. ag-c-e1.c-ếp.c= (1,2,1)--(1,2,1)--(V3-1.2V3+2.0)= a3 аз 3 3 аз 6v3 9

Now, we get that :

1/V3-1/3(V3+1) (4/3 -2/v3) 104-63 9 1/V3 -1/3 (4/3- 4/V3) 104-63 e1 e2 e3 (1-1/v3) 104-63

and also,

104 6V3 9 V3/3- 5/3 2/уз 0 ез . с (5-11/уз) 0 0 104 6y3

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1-1 1 (1 2) 1.4) Find the QR decomposition of the matrix A = | 1 1-1 1 (1 2) 1.4) Find the QR decomposition of the...
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