Problem 26
Question
Find the angle between \(\mathbf{x}=[1,-3,2]^{\prime}\) and \(\mathbf{y}=[3,1,-4]^{\prime}\).
Step-by-Step Solution
Verified Answer
The angle between the vectors is approximately \( 112.62^\circ \).
1Step 1: Calculate the Dot Product
The dot product of two vectors \( \mathbf{x} \) and \( \mathbf{y} \) is given by the formula: \[ \mathbf{x} \cdot \mathbf{y} = x_1y_1 + x_2y_2 + x_3y_3 \]For \( \mathbf{x} = [1, -3, 2]^{\prime} \) and \( \mathbf{y} = [3, 1, -4]^{\prime} \), the dot product is:\[ 1 \times 3 + (-3) \times 1 + 2 \times (-4) = 3 - 3 - 8 = -8 \]
2Step 2: Calculate the Magnitude of Each Vector
The magnitude of a vector \( \mathbf{x} = [x_1, x_2, x_3]^{\prime} \) is given by:\[ \| \mathbf{x} \| = \sqrt{x_1^2 + x_2^2 + x_3^2} \]For \( \mathbf{x} = [1, -3, 2]^{\prime} \), the magnitude is:\[ \| \mathbf{x} \| = \sqrt{1^2 + (-3)^2 + 2^2} = \sqrt{1 + 9 + 4} = \sqrt{14} \]For \( \mathbf{y} = [3, 1, -4]^{\prime} \), the magnitude is:\[ \| \mathbf{y} \| = \sqrt{3^2 + 1^2 + (-4)^2} = \sqrt{9 + 1 + 16} = \sqrt{26} \]
3Step 3: Use the Dot Product Formula to Find the Angle
The formula for the angle \( \theta \) between two vectors using the dot product is:\[ \cos \theta = \frac{\mathbf{x} \cdot \mathbf{y}}{\| \mathbf{x} \| \| \mathbf{y} \|} \]Plug in the values calculated:\[ \cos \theta = \frac{-8}{\sqrt{14} \times \sqrt{26}} \]Calculate \( \sqrt{14} \times \sqrt{26} = \sqrt{364} \). Therefore,\[ \cos \theta = \frac{-8}{\sqrt{364}} = \frac{-8}{2\sqrt{91}} = \frac{-4}{\sqrt{91}} \]
4Step 4: Calculate the Angle \( \theta \)
To find the angle \( \theta \), take the inverse cosine (arccos) of \( \cos \theta \):\[ \theta = \cos^{-1} \left( \frac{-4}{\sqrt{91}} \right) \]Using a calculator, compute this value to find:\[ \theta \approx 112.62^\circ \]
Key Concepts
Understanding the Dot ProductCalculating the Magnitude of a VectorUsing Inverse Cosine to Find the Angle Between Vectors
Understanding the Dot Product
The dot product is a fundamental operation in vector calculus that combines two vectors to produce a scalar quantity. It reveals important information about the relationship between the two vectors, such as whether they are orthogonal (perpendicular) or have some directional similarity or opposition.
In mathematical terms, the dot product of two vectors \( \mathbf{x} = [x_1, x_2, x_3]\) and \( \mathbf{y} = [y_1, y_2, y_3]\) is expressed as:
In the example of vectors \( \mathbf{x} = [1, -3, 2]\) and \( \mathbf{y} = [3, 1, -4]\), the dot product calculated is \(-8\), indicating they are not orthogonal and have a certain angle between them. A negative dot product often suggests that the vectors are pointing in broadly opposite directions.
In mathematical terms, the dot product of two vectors \( \mathbf{x} = [x_1, x_2, x_3]\) and \( \mathbf{y} = [y_1, y_2, y_3]\) is expressed as:
- \( \mathbf{x} \cdot \mathbf{y} = x_1y_1 + x_2y_2 + x_3y_3 \)
In the example of vectors \( \mathbf{x} = [1, -3, 2]\) and \( \mathbf{y} = [3, 1, -4]\), the dot product calculated is \(-8\), indicating they are not orthogonal and have a certain angle between them. A negative dot product often suggests that the vectors are pointing in broadly opposite directions.
Calculating the Magnitude of a Vector
The magnitude of a vector (also referred to as the length or norm) is a measure of its size or length in space, independent of its direction. It provides a single value that represents the extent of the vector, making it an invaluable tool in vector calculus.
The magnitude for a vector \( \mathbf{x} = [x_1, x_2, x_3]\) is calculated using the formula:
For the given vectors, the magnitudes are computed as:
The magnitude for a vector \( \mathbf{x} = [x_1, x_2, x_3]\) is calculated using the formula:
- \( \| \mathbf{x} \| = \sqrt{x_1^2 + x_2^2 + x_3^2} \)
For the given vectors, the magnitudes are computed as:
- \( \mathbf{x} = [1, -3, 2] \) yields \( \sqrt{14} \)
- \( \mathbf{y} = [3, 1, -4] \) yields \( \sqrt{26} \)
Using Inverse Cosine to Find the Angle Between Vectors
One of the more intriguing applications of the dot product and vector magnitude is using them together to determine the angle between two vectors. This involves using the inverse cosine function (often denoted as \( \cos^{-1}\) or arccos), which helps to find an angle whose cosine value is known.
The formula used to calculate the angle \( \theta \) between vectors \( \mathbf{x} \) and \( \mathbf{y} \) is:
In the example, \( \cos \theta = \frac{-4}{\sqrt{91}} \), and using a calculator to find the inverse cosine yields \( \theta \approx 112.62^\circ \). This value indicates that the vectors are neither parallel nor orthogonal but have an obtuse angle, showcasing the importance of understanding and applying vector calculus.
The formula used to calculate the angle \( \theta \) between vectors \( \mathbf{x} \) and \( \mathbf{y} \) is:
- \( \cos \theta = \frac{\mathbf{x} \cdot \mathbf{y}}{\| \mathbf{x} \| \| \mathbf{y} \|} \)
In the example, \( \cos \theta = \frac{-4}{\sqrt{91}} \), and using a calculator to find the inverse cosine yields \( \theta \approx 112.62^\circ \). This value indicates that the vectors are neither parallel nor orthogonal but have an obtuse angle, showcasing the importance of understanding and applying vector calculus.
Other exercises in this chapter
Problem 26
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