Problem 42
Question
Two direction angles of a vector are given. Find the third direction angle, given that it is either obtuse or acute as indicated. (In Exercises 43 and \(44,\) round your answers to the nearest degree.) $$\beta=\frac{2 \pi}{3}, \quad \gamma=\frac{\pi}{4} ; \quad \alpha \text { is acute }$$
Step-by-Step Solution
Verified Answer
The acute angle \( \alpha \) is 60 degrees.
1Step 1: Understanding Direction Angles
For a vector in three-dimensional space, the direction angles \( \alpha, \beta, \gamma \) are measured from the axes, with \( \alpha \) measured from the x-axis, \( \beta \) from the y-axis, and \( \gamma \) from the z-axis. They relate to the direction cosines, which sum up to 1: \( \cos^2 \alpha + \cos^2 \beta + \cos^2 \gamma = 1 \).
2Step 2: Convert Given Angles to Radians
The problem specifies \( \beta = \frac{2\pi}{3} \) and \( \gamma = \frac{\pi}{4} \). These are already in radians, so we can proceed to find their direction cosines.
3Step 3: Calculate Direction Cosines
Calculate \( \cos \beta \) and \( \cos \gamma \): 1. \( \cos \beta = \cos\left(\frac{2\pi}{3}\right) = -\frac{1}{2} \) 2. \( \cos \gamma = \cos\left(\frac{\pi}{4}\right) = \frac{\sqrt{2}}{2} \)
4Step 4: Apply the Direction Cosines Formula
Utilize the formula: \[ \cos^2 \alpha + \cos^2 \beta + \cos^2 \gamma = 1 \] Substitute the calculated cosines: \[ \cos^2 \alpha + \left(-\frac{1}{2}\right)^2 + \left(\frac{\sqrt{2}}{2}\right)^2 = 1 \] This simplifies to: \[ \cos^2 \alpha + \frac{1}{4} + \frac{2}{4} = 1 \] Thus, \[ \cos^2 \alpha = 1 - \frac{1}{4} - \frac{1}{2} = \frac{1}{4} \]
5Step 5: Solve for \( \alpha \) Given It is Acute
Since \( \alpha \) is acute, \( \cos \alpha = \sqrt{\frac{1}{4}} = \frac{1}{2} \). The angle \( \alpha \) corresponding to \( \cos \alpha = \frac{1}{2} \) is \( \alpha = \frac{\pi}{3} \) or 60 degrees in acute form.
Key Concepts
Direction CosinesAcute AngleThree-Dimensional Vectors
Direction Cosines
Direction cosines play a crucial role when dealing with three-dimensional vectors.
When we talk about direction angles, it refers to the angles a vector makes with each axis in a 3D space. For a vector, these angles are typically denoted as \( \alpha, \beta, \text{ and } \gamma \), corresponding to the x, y, and z axes respectively.
The direction cosines, which are \( \cos \alpha, \cos \beta, \text{ and } \cos \gamma \), are essentially the cosines of each of these respective angles. They're important because they help define the vector's orientation in space.
Here's a key relationship to remember:
When we talk about direction angles, it refers to the angles a vector makes with each axis in a 3D space. For a vector, these angles are typically denoted as \( \alpha, \beta, \text{ and } \gamma \), corresponding to the x, y, and z axes respectively.
The direction cosines, which are \( \cos \alpha, \cos \beta, \text{ and } \cos \gamma \), are essentially the cosines of each of these respective angles. They're important because they help define the vector's orientation in space.
Here's a key relationship to remember:
- \( \cos^2 \alpha + \cos^2 \beta + \cos^2 \gamma = 1 \)
Acute Angle
An acute angle is any angle that's less than 90 degrees.
When it comes to vector direction angles, the classification of an angle as acute can greatly influence the final results of calculations.
In our context, if we find that the cosine of a certain direction angle is positive, the angle itself will be acute. Why? Because cosine values are positive in the first quadrant, which corresponds to angles between 0 and 90 degrees.
Let's break this down:
When it comes to vector direction angles, the classification of an angle as acute can greatly influence the final results of calculations.
In our context, if we find that the cosine of a certain direction angle is positive, the angle itself will be acute. Why? Because cosine values are positive in the first quadrant, which corresponds to angles between 0 and 90 degrees.
Let's break this down:
- \( \cos \alpha = \frac{1}{2} \) implies \( \alpha = \frac{\pi}{3} \), which translates to 60 degrees.
Three-Dimensional Vectors
Three-dimensional vectors, often represented as \([x, y, z]\), are fundamental in describing quantities that have both a magnitude and a direction in 3D space.
They're widely used in physics, engineering, and mathematics to model real-world dimensions.
Here's what makes them special:
These angles help in finding how a vector is oriented in space.
For instance, a vector perpendicular to the x-axis would have a direction angle of 90 degrees with it. Knowing these angles and their cosines allows us to analyze a vector's behavior and its interactions with other vectors or forces.
They're widely used in physics, engineering, and mathematics to model real-world dimensions.
Here's what makes them special:
- They can express movement or force in any spatial direction.
- Their components (x, y, z) denote the vector's influence along each respective axis.
These angles help in finding how a vector is oriented in space.
For instance, a vector perpendicular to the x-axis would have a direction angle of 90 degrees with it. Knowing these angles and their cosines allows us to analyze a vector's behavior and its interactions with other vectors or forces.
Other exercises in this chapter
Problem 41
Find the horizontal and vertical components of the vector with given length and direction, and write the vector in terms of the vectors i and j. $$|\mathbf{v}|=
View solution Problem 42
Let \(\mathbf{u}, \mathbf{v},\) and \(\mathbf{w}\) be vectors, and let \(a\) be a scalar. Prove the given property. $$(\mathbf{u}-\mathbf{v}) \cdot(\mathbf{u}+\
View solution Problem 42
Find the horizontal and vertical components of the vector with given length and direction, and write the vector in terms of the vectors i and j. $$|\mathbf{v}|=
View solution Problem 43
Show that the vectors proj, \(\mathbf{u}\) and \(\mathbf{u}-\) proj, \(\mathbf{u}\) are orthogonal.
View solution