Problem 12
Question
Find the angles between the vectors in Exercises \(9-12\) to the nearest hundredth of a radian. \begin{equation} \mathbf{u}=\mathbf{i}+\sqrt{2} \mathbf{j}-\sqrt{2 \mathbf{k},} \quad \mathbf{v}=-\mathbf{i}+\mathbf{j}+\mathbf{k} \end{equation}
Step-by-Step Solution
Verified Answer
The angle between the vectors is approximately 1.83 radians.
1Step 1: Determine the dot product of the vectors
Calculate the dot product of the vectors \( \mathbf{u} = \mathbf{i} + \sqrt{2} \mathbf{j} - \sqrt{2} \mathbf{k} \) and \( \mathbf{v} = -\mathbf{i} + \mathbf{j} + \mathbf{k} \).The dot product is calculated as follows:\[ \mathbf{u} \cdot \mathbf{v} = (1)(-1) + (\sqrt{2})(1) + (-\sqrt{2})(1) \]\[ \mathbf{u} \cdot \mathbf{v} = -1 + \sqrt{2} - \sqrt{2} = -1 \]
2Step 2: Determine the magnitudes of the vectors
Calculate the magnitudes of both vectors.For \( \mathbf{u} \):\[ \|\mathbf{u}\| = \sqrt{1^2 + (\sqrt{2})^2 + (-\sqrt{2})^2} = \sqrt{1 + 2 + 2} = \sqrt{5} \]For \( \mathbf{v} \):\[ \|\mathbf{v}\| = \sqrt{(-1)^2 + 1^2 + 1^2} = \sqrt{1 + 1 + 1} = \sqrt{3} \]
3Step 3: Use the dot product to find the cosine of the angle
Use the formula for the cosine of the angle between two vectors:\[ \cos(\theta) = \frac{\mathbf{u} \cdot \mathbf{v}}{\|\mathbf{u}\| \|\mathbf{v}\|} \]Substitute the completed calculations:\[ \cos(\theta) = \frac{-1}{\sqrt{5} \cdot \sqrt{3}} = \frac{-1}{\sqrt{15}} \]
4Step 4: Calculate the angle using the inverse cosine
To find the angle \( \theta \), take the inverse cosine:\[ \theta = \cos^{-1}\left(\frac{-1}{\sqrt{15}}\right) \]Using a calculator, convert this into radians and round to the nearest hundredth:\[ \theta \approx 1.83 \text{ radians} \]
5Step 5: Finalize and verify the angle
Verify that the angle found is reasonable, considering the components of the vectors. As both vectors are in 3-dimensional space and their dot product is negative, the angle should logically fall between \( \pi/2 \) and \( \pi \), which matches our calculation of \( \theta \approx 1.83 \text{ radians}.\)
Key Concepts
Understanding Dot ProductVector Magnitudes ExplainedDiscovering the Inverse Cosine
Understanding Dot Product
The dot product, also known as the scalar product, is a crucial operation when working with vectors. It's used to measure how much two vectors point in the same direction. The formula for the dot product of two vectors \( \mathbf{u} = a_1\mathbf{i} + b_1\mathbf{j} + c_1\mathbf{k} \) and \( \mathbf{v} = a_2\mathbf{i} + b_2\mathbf{j} + c_2\mathbf{k} \) is \( a_1 \cdot a_2 + b_1 \cdot b_2 + c_1 \cdot c_2 \). In our example, it simplifies to:
- Multiply the corresponding components of each vector: \( (1 \times -1), (\sqrt{2} \times 1), (-\sqrt{2} \times 1) \)
- Then, sum the results: \( -1 + \sqrt{2} - \sqrt{2} = -1 \)
Vector Magnitudes Explained
Vector magnitude is the length or size of the vector, often seen as how far it reaches in space. To find a vector's magnitude, use the formula: \( \|\mathbf{u}\| = \sqrt{a^2 + b^2 + c^2} \). It's a simple way of using the Pythagorean theorem in three dimensions. Let's break it down:For the vector \( \mathbf{u} = \mathbf{i} + \sqrt{2} \mathbf{j} - \sqrt{2} \mathbf{k} \), the magnitude is calculated as follows:
- Take each component: \( 1, \sqrt{2}, -\sqrt{2} \)
- Square them: \( 1^2, (\sqrt{2})^2, (-\sqrt{2})^2 \)
- Add them together: \( 1 + 2 + 2 = 5 \)
- Finally, take the square root: \( \sqrt{5} \)
Discovering the Inverse Cosine
Once we have the dot product and the magnitudes of both vectors, the next step is to find the angle between them. This is where the inverse cosine, or arc cosine, comes into play. The formula to find the cosine of the angle \( \theta \) between two vectors \( \mathbf{u} \) and \( \mathbf{v} \) is:\[ \cos(\theta) = \frac{\mathbf{u} \cdot \mathbf{v}}{\|\mathbf{u}\| \|\mathbf{v}\|} \]Next, plug the values into the formula:
- Dot product: \(-1 \)
- Magnitude of \( \mathbf{u} \): \( \sqrt{5} \)
- Magnitude of \( \mathbf{v} \): \( \sqrt{3} \)
- Calculate: \( \cos(\theta) = \frac{-1}{\sqrt{5} \cdot \sqrt{3}} = \frac{-1}{\sqrt{15}} \)
Other exercises in this chapter
Problem 12
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