Consider the following vectors: 1 ----- W2 = -2 V= = -2 Enter the vector projwv in the form [C₁, C₂, C3]: 0 3 2 The set B = {W1, Ww2} is an orthogonal basis of a subspace W = Span (w₁, W₂) of R³. Compute the vector projwv, the orthogonal projection of v onto W.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Vectors and Orthogonal Projections**

**Consider the following vectors:**

\[ \mathbf{w}_1 = \begin{bmatrix} 1 \\ -2 \\ 0 \end{bmatrix}, \quad \mathbf{w}_2 = \begin{bmatrix} -4 \\ -2 \\ -5 \end{bmatrix}, \quad \mathbf{v} = \begin{bmatrix} 3 \\ 0 \\ 2 \end{bmatrix} \]

The set \(\mathcal{B} = \{\mathbf{w}_1, \mathbf{w}_2\}\) is an orthogonal basis of a subspace \(W = \text{Span}(\mathbf{w}_1, \mathbf{w}_2)\) of \(\mathbb{R}^3\). Compute the vector \(\text{proj}_W \mathbf{v}\), the orthogonal projection of \(\mathbf{v}\) onto \(W\).

Enter the vector \(\text{proj}_W \mathbf{v}\) in the form \([c_1, c_2, c_3]\): 

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Transcribed Image Text:**Vectors and Orthogonal Projections** **Consider the following vectors:** \[ \mathbf{w}_1 = \begin{bmatrix} 1 \\ -2 \\ 0 \end{bmatrix}, \quad \mathbf{w}_2 = \begin{bmatrix} -4 \\ -2 \\ -5 \end{bmatrix}, \quad \mathbf{v} = \begin{bmatrix} 3 \\ 0 \\ 2 \end{bmatrix} \] The set \(\mathcal{B} = \{\mathbf{w}_1, \mathbf{w}_2\}\) is an orthogonal basis of a subspace \(W = \text{Span}(\mathbf{w}_1, \mathbf{w}_2)\) of \(\mathbb{R}^3\). Compute the vector \(\text{proj}_W \mathbf{v}\), the orthogonal projection of \(\mathbf{v}\) onto \(W\). Enter the vector \(\text{proj}_W \mathbf{v}\) in the form \([c_1, c_2, c_3]\): [Input box]
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