The scalar component of the projection of vector \( \mathbf{a} \) onto vector \( \mathbf{b} \) is given by the formula:
\[ \text{Scalar Projection} = \frac{\mathbf{a} \cdot \mathbf{b}}{\|\mathbf{b}\|} \]
Here, \( \mathbf{a} \cdot \mathbf{b} \) is the dot product of vectors \( \mathbf{a} \) and \( \mathbf{b} \), and \( \|\mathbf{b}\| \) is the magnitude of vector \( \mathbf{b} \).
Let's calculate it step by step:
Given vectors:
\[ \mathbf{a} = 2\mathbf{i} + 3\mathbf{j} + 5\mathbf{k} \]
\[ \mathbf{b} = 2\mathbf{i} - 2\mathbf{j} - 3\mathbf{k} \]
1. Calculate the dot product \( \mathbf{a} \cdot \mathbf{b} \):
\[ \mathbf{a} \cdot \mathbf{b} = (2 \cdot 2) + (3 \cdot -2) + (5 \cdot -3) \]
2. Calculate the magnitude \( \|\mathbf{b}\| \):
\[ \|\mathbf{b}\| = \sqrt{2^2 + (-2)^2 + (-3)^2} \]
3. Substitute the values into the formula for the scalar projection:
\[ \text{Scalar Projection} = \frac{\mathbf{a} \cdot \mathbf{b}}{\|\mathbf{b}\|} \]
Now, calculate the result.
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