Chapter 11: Problem 25
Let \(K\) be the parallelepiped determined by \(\mathbf{u}=\langle 3,2,1\rangle, \mathbf{v}=\langle 1,1,2\rangle\), and \(\mathbf{w}=\langle 1,3,3\rangle .\) (a) Find the volume of \(K\). (b) Find the area of the face determined by \(\mathbf{u}\) and \(\mathbf{v}\). (c) Find the angle between \(\mathbf{u}\) and the plane containing the face determined by \(\mathbf{v}\) and \(\mathbf{w}\).
Short Answer
Step by step solution
Calculate the Volume of the Parallelepiped
Calculate the Area of the Face Determined by \(\mathbf{u}\) and \(\mathbf{v}\)
Find the Angle Between \(\mathbf{u}\) and the Plane of \(\mathbf{v}\) and \(\mathbf{w}\)
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Parallelepiped Volume
The volume of a parallelepiped determined by three vectors \( \mathbf{u}, \mathbf{v}, \mathbf{w} \) is calculated as the absolute value of the scalar triple product: \( \mathbf{u} \cdot (\mathbf{v} \times \mathbf{w}) \). This involves first finding the cross product of two of the vectors, followed by a dot product with the third vector. The scalar triple product gives you the volume of the parallelepiped formed by these vectors.
- Cross Product: Finds a vector perpendicular to two vectors.
- Dot Product: Projects one vector onto another, giving a scalar.
Cross Product
For vectors \( \mathbf{a} = \langle a_1, a_2, a_3 \rangle \) and \( \mathbf{b} = \langle b_1, b_2, b_3 \rangle \), the cross product \( \mathbf{a} \times \mathbf{b} \) is given by the determinant:\[\mathbf{a} \times \mathbf{b} = \begin{vmatrix} \mathbf{i} & \mathbf{j} & \mathbf{k} \ a_1 & a_2 & a_3 \ b_1 & b_2 & b_3 \end{vmatrix} = \langle a_2b_3 - a_3b_2, a_3b_1 - a_1b_3, a_1b_2 - a_2b_1 \rangle\]
- The resulting vector is orthogonal (perpendicular) to the original two vectors. This can represent a normal direction to a plane formed by them.
- The magnitude of the cross product equals the area of the parallelogram spanned by the two original vectors.
Dot Product
For vectors \( \mathbf{a} = \langle a_1, a_2, a_3 \rangle \) and \( \mathbf{b} = \langle b_1, b_2, b_3 \rangle \), the dot product is given by:\[\mathbf{a} \cdot \mathbf{b} = a_1b_1 + a_2b_2 + a_3b_3\]
This relationship connects vector direction and magnitude. Here are a few points to note:
- The dot product measures the cosine of the angle between the two vectors, multiplied by their magnitudes.
- If the dot product is zero, the vectors are orthogonal to each other.
- The dot product is fundamental in projections and understanding angles between vectors.
Angle Between Vectors
If you have two vectors \( \mathbf{a} \) and \( \mathbf{b} \), their angle \( \theta \) can be calculated using the dot product. The cosine of the angle \( \theta \) is:\[\cos \theta = \frac{\mathbf{a} \cdot \mathbf{b}}{\| \mathbf{a} \| \cdot \| \mathbf{b} \|}\]
- The formula finds how much the vectors point in the same direction.
- The angle ranges from 0° (same direction) to 180° (opposite directions).
- Angles provide a geometric sense of alignment, crucial in determining navigation paths and understanding spatial orientation.