Problem 34
Question
Two vectors \(u\) and \(v\) are given. Find the angle (expressed in degrees) between \(\mathbf{u}\) and \(v\) $$\mathbf{u}=\langle 4,0,2\rangle, \quad \mathbf{v}=\langle 2,-1,0\rangle$$
Step-by-Step Solution
Verified Answer
The angle between the vectors is approximately 36.87 degrees.
1Step 1: Dot Product
Calculate the dot product of the two vectors \(\mathbf{u}\) and \(\mathbf{v}\). The formula for the dot product \( \mathbf{u} \cdot \mathbf{v} \) is:\[\mathbf{u} \cdot \mathbf{v} = u_1v_1 + u_2v_2 + u_3v_3\]Substituting the coordinates of \(\mathbf{u}\) and \(\mathbf{v}\):\[4 \cdot 2 + 0 \cdot (-1) + 2 \cdot 0 = 8 + 0 + 0 = 8\]
2Step 2: Magnitudes of Vectors
Calculate the magnitudes of \(\mathbf{u}\) and \(\mathbf{v}\) using the formula:\[||\mathbf{u}|| = \sqrt{u_1^2 + u_2^2 + u_3^2}\]\[||\mathbf{v}|| = \sqrt{v_1^2 + v_2^2 + v_3^2}\]For \(\mathbf{u}:\)\[||\mathbf{u}|| = \sqrt{4^2 + 0^2 + 2^2} = \sqrt{16 + 0 + 4} = \sqrt{20}\]For \(\mathbf{v}:\)\[||\mathbf{v}|| = \sqrt{2^2 + (-1)^2 + 0^2} = \sqrt{4 + 1 + 0} = \sqrt{5}\]
3Step 3: Calculate Cosine of the Angle
Use the formula for the cosine of the angle \(\theta\) between two vectors:\[\cos(\theta) = \frac{\mathbf{u} \cdot \mathbf{v}}{||\mathbf{u}|| \cdot ||\mathbf{v}||}\]Substituting the known values:\[\cos(\theta) = \frac{8}{\sqrt{20} \cdot \sqrt{5}} = \frac{8}{\sqrt{100}} = \frac{8}{10} = 0.8\]
4Step 4: Angle in Degrees
Convert the angle from its cosine form to degrees using the inverse cosine function:\[\theta = \cos^{-1}(0.8)\]Using a calculator, find \(\theta\).\[\theta \approx 36.87^\circ\]
Key Concepts
Dot ProductMagnitude of a VectorCosine of the Angle Between Vectors
Dot Product
Understanding the concept of the dot product helps to determine how much one vector extends in the direction of another vector. For two vectors \( \mathbf{u} = \langle u_1, u_2, u_3 \rangle \) and \( \mathbf{v} = \langle v_1, v_2, v_3 \rangle \), the dot product is computed using the formula:
The dot product is a scalar and not a vector, meaning the result is a single number, not another vector.
For example, the calculation \( 4 \times 2 + 0 \times (-1) + 2 \times 0 = 8 + 0 + 0 = 8 \) for vectors \( \mathbf{u} = \langle 4,0,2 \rangle \) and \( \mathbf{v} = \langle 2,-1,0 \rangle \) shows their dot product is 8. This outcome signifies how aligned the vectors are. If the dot product is positive, as in this instance, it indicates that both vectors point in generally the same direction.
- \( \mathbf{u} \cdot \mathbf{v} = u_1v_1 + u_2v_2 + u_3v_3 \)
The dot product is a scalar and not a vector, meaning the result is a single number, not another vector.
For example, the calculation \( 4 \times 2 + 0 \times (-1) + 2 \times 0 = 8 + 0 + 0 = 8 \) for vectors \( \mathbf{u} = \langle 4,0,2 \rangle \) and \( \mathbf{v} = \langle 2,-1,0 \rangle \) shows their dot product is 8. This outcome signifies how aligned the vectors are. If the dot product is positive, as in this instance, it indicates that both vectors point in generally the same direction.
Magnitude of a Vector
The magnitude, or length, of a vector provides a measure of how long the vector is. For a vector \( \mathbf{u} = \langle u_1, u_2, u_3 \rangle \), the magnitude is calculated using the formula:
For instance, for \( \mathbf{u} = \langle 4,0,2 \rangle \), we find:
- \( ||\mathbf{u}|| = \sqrt{u_1^2 + u_2^2 + u_3^2} \)
For instance, for \( \mathbf{u} = \langle 4,0,2 \rangle \), we find:
- \( ||\mathbf{u}|| = \sqrt{4^2 + 0^2 + 2^2} = \sqrt{20} \)
- \( ||\mathbf{v}|| = \sqrt{2^2 + (-1)^2 + 0^2} = \sqrt{5} \)
Cosine of the Angle Between Vectors
The cosine of the angle between vectors provides insight into the orientation of these vectors with respect to each other. To find the cosine of the angle \(\theta\) between vectors \(\mathbf{u}\) and \(\mathbf{v}\), use the formula:
This calculation tells us whether vectors are oriented in the same direction, opposite, or perpendicular. A cosine value of 1 signifies identical direction, whereas -1 indicates opposite directions. Any value between will suggest a certain degree of angular difference.
In our problem, substituting the known values, we have:
- \( \cos(\theta) = \frac{\mathbf{u} \cdot \mathbf{v}}{||\mathbf{u}|| \cdot ||\mathbf{v}||} \)
This calculation tells us whether vectors are oriented in the same direction, opposite, or perpendicular. A cosine value of 1 signifies identical direction, whereas -1 indicates opposite directions. Any value between will suggest a certain degree of angular difference.
In our problem, substituting the known values, we have:
- \( \cos(\theta) = \frac{8}{\sqrt{20} \cdot \sqrt{5}} = \frac{8}{\sqrt{100}} = 0.8 \)
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