Chapter 14: Problem 6
Find a vector with magnitude 3 and direction angles \(\frac{\pi}{4}, \frac{\pi}{4}, \frac{\pi}{2}\)
Short Answer
Expert verified
The vector is \( \left( \frac{3\sqrt{2}}{2}, \frac{3\sqrt{2}}{2}, 0 \right) \).
Step by step solution
01
Understand the direction angles
Direction angles are the angles a vector makes with the positive x, y, and z axes. In this problem, the direction angles are given as \( \alpha = \frac{\pi}{4} \), \( \beta = \frac{\pi}{4} \), and \( \gamma = \frac{\pi}{2} \).
02
Use direction cosines
The direction cosines of a vector are \( \cos\alpha \), \( \cos\beta \), and \( \cos\gamma \). These are used to find the unit vector's components:\[\cos\alpha = \cos\left(\frac{\pi}{4}\right) = \frac{\sqrt{2}}{2}, \quad \cos\beta = \cos\left(\frac{\pi}{4}\right) = \frac{\sqrt{2}}{2}, \quad \cos\gamma = \cos\left(\frac{\pi}{2}\right) = 0\]
03
Find the vector components for magnitude 1
The unit vector \( \mathbf{u} \) in the direction of the desired vector is:\[\mathbf{u} = \left( \frac{\sqrt{2}}{2}, \frac{\sqrt{2}}{2}, 0 \right)\]
04
Calculate the vector with the given magnitude
To find the vector with magnitude 3, scale the unit vector \( \mathbf{u} \) by 3:\[\mathbf{v} = 3 \cdot \left( \frac{\sqrt{2}}{2}, \frac{\sqrt{2}}{2}, 0 \right) = \left( \frac{3\sqrt{2}}{2}, \frac{3\sqrt{2}}{2}, 0 \right)\]
05
Verify the vector's magnitude
Calculate the magnitude of \( \mathbf{v} \) to confirm it is 3:\[|\mathbf{v}| = \sqrt{\left(\frac{3\sqrt{2}}{2}\right)^2 + \left(\frac{3\sqrt{2}}{2}\right)^2 + 0^2} = \sqrt{\frac{9 \cdot 2}{4} + \frac{9 \cdot 2}{4}} = \sqrt{9} = 3\]This verifies that \( \mathbf{v} \) is indeed of magnitude 3.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Direction Angles
Direction angles are crucial when defining a vector's orientation in three-dimensional space. These angles, often denoted by \(\alpha\), \(\beta\), and \(\gamma\), represent the vector's alignment with the positive x, y, and z axes, respectively.
For example, if we consider a vector forming angles of \(\frac{\pi}{4}\), \(\frac{\pi}{4}\), and \(\frac{\pi}{2}\) with these axes, we can imagine how the vector stretches out in space, creating specific angular relationships with the coordinate planes.
For example, if we consider a vector forming angles of \(\frac{\pi}{4}\), \(\frac{\pi}{4}\), and \(\frac{\pi}{2}\) with these axes, we can imagine how the vector stretches out in space, creating specific angular relationships with the coordinate planes.
- \(\alpha\), the angle with the x-axis, tells us how much the vector leans towards or away from this axis.
- \(\beta\), the angle with the y-axis, provides similar information in relation to the y-axis.
- \(\gamma\), the angle with the z-axis, completes this 3D orientation map.
Direction Cosines
Once we know a vector's direction angles, we can find its direction cosines. These are the cosines of the direction angles \(\cos\alpha\), \(\cos\beta\), and \(\cos\gamma\).
Direction cosines play a crucial role in vector analysis, offering a neat way to convert angular information into usable vector components.
For example, given \(\alpha = \frac{\pi}{4}\), \(\beta = \frac{\pi}{4}\), and \(\gamma = \frac{\pi}{2}\), the direction cosines are:
Direction cosines play a crucial role in vector analysis, offering a neat way to convert angular information into usable vector components.
For example, given \(\alpha = \frac{\pi}{4}\), \(\beta = \frac{\pi}{4}\), and \(\gamma = \frac{\pi}{2}\), the direction cosines are:
- \(\cos\alpha = \frac{\sqrt{2}}{2}\)
- \(\cos\beta = \frac{\sqrt{2}}{2}\)
- \(\cos\gamma = 0\)
Vector Magnitude
Vector magnitude refers to the length or size of a vector, serving as a fundamental measure of a vector's extent in space.
When we want a vector of a specific magnitude, knowing the unit vector allows us to scale appropriately. The technique involves multiplying the unit vector by the desired magnitude.
For instance, if a vector needs to have a magnitude of 3 and the unit vector is \(\mathbf{u} = \left( \frac{\sqrt{2}}{2}, \frac{\sqrt{2}}{2}, 0 \right)\), the resulting vector \(\mathbf{v}\) is given by:
\[\mathbf{v} = 3 \cdot \left( \frac{\sqrt{2}}{2}, \frac{\sqrt{2}}{2}, 0 \right) = \left( \frac{3\sqrt{2}}{2}, \frac{3\sqrt{2}}{2}, 0 \right)\]
This ensures that \(\mathbf{v}\) maintains the same direction as the unit vector, only stretched or compressed according to the specified magnitude. Calculating the magnitude of \(\mathbf{v}\) confirms it is indeed 3, verifying that our scaling was correct and achieving the specification of both direction and size.
When we want a vector of a specific magnitude, knowing the unit vector allows us to scale appropriately. The technique involves multiplying the unit vector by the desired magnitude.
For instance, if a vector needs to have a magnitude of 3 and the unit vector is \(\mathbf{u} = \left( \frac{\sqrt{2}}{2}, \frac{\sqrt{2}}{2}, 0 \right)\), the resulting vector \(\mathbf{v}\) is given by:
\[\mathbf{v} = 3 \cdot \left( \frac{\sqrt{2}}{2}, \frac{\sqrt{2}}{2}, 0 \right) = \left( \frac{3\sqrt{2}}{2}, \frac{3\sqrt{2}}{2}, 0 \right)\]
This ensures that \(\mathbf{v}\) maintains the same direction as the unit vector, only stretched or compressed according to the specified magnitude. Calculating the magnitude of \(\mathbf{v}\) confirms it is indeed 3, verifying that our scaling was correct and achieving the specification of both direction and size.