Problem 10
Question
Find (a) \(\mathbf{u} \cdot \mathbf{v}\) and (b) the angle between \(\mathbf{u}\) and \(\mathbf{v}\) to the nearest degree. $$ \mathbf{u}=2 \mathbf{i}+\mathbf{j}, \quad \mathbf{v}=3 \mathbf{i}-2 \mathbf{j} $$
Step-by-Step Solution
Verified Answer
(a) The dot product is 4. (b) The angle is approximately 74°.
1Step 1: Calculate the dot product
The dot product of two vectors \( \mathbf{u} = a_1 \mathbf{i} + b_1 \mathbf{j} \) and \( \mathbf{v} = a_2 \mathbf{i} + b_2 \mathbf{j} \) is calculated as \( \mathbf{u} \cdot \mathbf{v} = a_1a_2 + b_1b_2 \). For the vectors given, \( \mathbf{u} = 2\mathbf{i} + \mathbf{j} \) and \( \mathbf{v} = 3\mathbf{i} - 2\mathbf{j} \), the dot product is \( 2 \times 3 + 1 \times (-2) = 6 - 2 = 4 \).
2Step 2: Calculate magnitudes of the vectors
To find the angle between two vectors, we need their magnitudes. The magnitude of a vector \( \mathbf{u} = a \mathbf{i} + b \mathbf{j} \) is given by \( \| \mathbf{u} \| = \sqrt{a^2 + b^2} \). Thus, for \( \mathbf{u} \), \( \| \mathbf{u} \| = \sqrt{2^2 + 1^2} = \sqrt{5} \), and for \( \mathbf{v} \), \( \| \mathbf{v} \| = \sqrt{3^2 + (-2)^2} = \sqrt{13} \).
3Step 3: Calculate the cosine of the angle between the vectors
The cosine of the angle \( \theta \) between two vectors \( \mathbf{u} \) and \( \mathbf{v} \) is given by \( \cos \theta = \frac{\mathbf{u} \cdot \mathbf{v}}{\| \mathbf{u} \| \| \mathbf{v} \|} \). Substituting the known values, \( \cos \theta = \frac{4}{\sqrt{5} \cdot \sqrt{13}} = \frac{4}{\sqrt{65}} \).
4Step 4: Calculate the angle in degrees
To find the angle in degrees, we take the inverse cosine (arccos) and convert from radians to degrees. Use a calculator for \( \theta = \cos^{-1}(\frac{4}{\sqrt{65}}) \). This results in approximately \( 74^{\circ} \).
Key Concepts
Dot ProductVector MagnitudesAngle Between Vectors
Dot Product
The dot product of two vectors is a scalar value that gives us insight into the relationship between the two vectors. If you take two vectors, say \( \mathbf{u} = a_1 \mathbf{i} + b_1 \mathbf{j} \) and \( \mathbf{v} = a_2 \mathbf{i} + b_2 \mathbf{j} \), the dot product \( \mathbf{u} \cdot \mathbf{v} \) is calculated by:
- Multiplying corresponding components of the vectors.
- Adding these products together.
- \( 2 \times 3 = 6 \)
- \( 1 \times -2 = -2 \)
- So, \( \mathbf{u} \cdot \mathbf{v} = 6 - 2 = 4 \)
Vector Magnitudes
To fully understand the relationship between two vectors, we need to know their magnitudes, which are also known as their lengths. You can think of the magnitude as the "size" or "length" of the vector in space.
- For any vector \( \mathbf{u} = a \mathbf{i} + b \mathbf{j} \), the magnitude is calculated using the formula \( \| \mathbf{u} \| = \sqrt{a^2 + b^2} \).
- \( \sqrt{(2)^2 + (1)^2} = \sqrt{4 + 1} = \sqrt{5} \)
- \( \sqrt{(3)^2 + (-2)^2} = \sqrt{9 + 4} = \sqrt{13} \)
Angle Between Vectors
The angle between two vectors tells us how divergent or convergent they are. To find this angle, we use the cosine of the angle formula:
- \( \cos \theta = \frac{\mathbf{u} \cdot \mathbf{v}}{\| \mathbf{u} \| \| \mathbf{v} \|} \)
- Dot product \( = 4 \)
- Magnitude of \( \mathbf{u} = \sqrt{5} \)
- Magnitude of \( \mathbf{v} = \sqrt{13} \)
- \( \cos \theta = \frac{4}{\sqrt{5} \cdot \sqrt{13}} = \frac{4}{\sqrt{65}} \)
- \( \theta = \cos^{-1}\left( \frac{4}{\sqrt{65}} \right) \)
Other exercises in this chapter
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