Calculate the dot product \( \mathbf{u} \cdot \mathbf{u} \) to find the denominator:
\[ (-1, 1) \cdot (-1, 1) = (-1)^2 + 1^2 = 1 + 1 = 2 \]
Substitute these values into the projection formula:
\[ \text{proj}_{\mathbf{u}} (\mathbf{v} + \mathbf{w}) = \left( \frac{-10}{2} \right) \mathbf{u} = -5 \mathbf{u} \]
This means multiply each component of \( \mathbf{u} \) by \( -5 \) to get the projection vector.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Vector Addition
Vector addition involves combining two or more vectors by adding their corresponding components. For example, if u = ai + bj and v = ci + dj, then u + v = (a + c)i + (b + d)j. This operation is essential to find the resultant vector before projection.
The projection of a vector a onto another vector b, denoted proj_b(a), is the vector component of a in the direction of b. It is calculated as (a · b / |b|^2) times vector b, where '·' is the dot product and |b| is the magnitude of b. This concept helps find how much of one vector lies along another.
The dot product of two vectors a and b is a scalar found by multiplying corresponding components and summing the results: a · b = a₁b₁ + a₂b₂. It measures the extent to which two vectors point in the same direction and is crucial for calculating projections.