Problem 25
Question
In Problems \(25-28\), find the direction cosines and direction angles of the given vector. $$ \mathbf{a}=\mathbf{i}+2 \mathbf{j}+3 \mathbf{k} $$
Step-by-Step Solution
Verified Answer
Direction cosines: \(\frac{1}{\sqrt{14}}, \frac{2}{\sqrt{14}}, \frac{3}{\sqrt{14}}\). Direction angles: \(\alpha, \beta, \gamma\).
1Step 1: Understanding the Vector
We are given the vector \( \mathbf{a} = \mathbf{i} + 2 \mathbf{j} + 3 \mathbf{k} \). This vector can be represented with its components as \( \mathbf{a} = (1, 2, 3) \), where \( 1 \) is the component in the \( x \)-direction, \( 2 \) is in the \( y \)-direction, and \( 3 \) is in the \( z \)-direction.
2Step 2: Compute the Magnitude of the Vector
The magnitude \( \|\mathbf{a}\| \) of the vector \( \mathbf{a} \) is calculated using the formula \( \|\mathbf{a}\| = \sqrt{x^2 + y^2 + z^2} \). Substituting the values for \( \mathbf{a} = (1, 2, 3) \), we get \( \|\mathbf{a}\| = \sqrt{1^2 + 2^2 + 3^2} = \sqrt{14} \).
3Step 3: Calculate the Direction Cosines
The direction cosines of the vector \( \mathbf{a} \) are given by \( \cos \alpha = \frac{x}{\|\mathbf{a}\|} \), \( \cos \beta = \frac{y}{\|\mathbf{a}\|} \), and \( \cos \gamma = \frac{z}{\|\mathbf{a}\|} \). For \( \mathbf{a} = (1, 2, 3) \) and \( \|\mathbf{a}\| = \sqrt{14} \), the direction cosines are: \( \cos \alpha = \frac{1}{\sqrt{14}} \), \( \cos \beta = \frac{2}{\sqrt{14}} \), and \( \cos \gamma = \frac{3}{\sqrt{14}} \).
4Step 4: Find the Direction Angles
The direction angles \( \alpha \), \( \beta \), and \( \gamma \) can be found by taking the inverse cosine of the direction cosines. Thus, \( \alpha = \cos^{-1}\left(\frac{1}{\sqrt{14}}\right) \), \( \beta = \cos^{-1}\left(\frac{2}{\sqrt{14}}\right) \), and \( \gamma = \cos^{-1}\left(\frac{3}{\sqrt{14}}\right) \).
Key Concepts
Vector Mathematics3D VectorsMathematical Problems
Vector Mathematics
Vector mathematics involves the study of quantities that have both magnitude and direction. Unlike scalar quantities, which only have magnitude, vectors are critical in fields like physics, engineering, and even computer science due to their ability to represent various multi-dimensional phenomena. In our exercise, the vector \( \mathbf{a} = \mathbf{i} + 2 \mathbf{j} + 3 \mathbf{k} \) serves as a perfect example of a 3D vector. Here, the vector is defined in terms of unit vectors \( \mathbf{i} \), \( \mathbf{j} \), and \( \mathbf{k} \), which are vectors of length one in the directions of the x, y, and z axes respectively.
\( \mathbf{a} \)'s components \((1, 2, 3)\) tell us how much the vector stretches along each axis, and these components are essential for calculating properties like magnitude and direction. Understanding these basics of vector representation allows you to solve more complex mathematical problems involving vectors.
\( \mathbf{a} \)'s components \((1, 2, 3)\) tell us how much the vector stretches along each axis, and these components are essential for calculating properties like magnitude and direction. Understanding these basics of vector representation allows you to solve more complex mathematical problems involving vectors.
3D Vectors
In three-dimensional space, 3D vectors are vital for representing positions, forces, velocities, and more. A vector in 3D space is often written as \( (x, y, z) \), where each component represents the vector's projection on each of the three axes. For the vector \( (1, 2, 3) \), these numbers mean you're moving 1 unit along the x-axis, 2 units along the y-axis, and 3 units along the z-axis.
To find its magnitude, or the vector's length, we use the formula \( \|\mathbf{a}\| = \sqrt{x^2 + y^2 + z^2} \). By substituting in our values, \( \|\mathbf{a}\| = \sqrt{1^2 + 2^2 + 3^2} = \sqrt{14} \). This provides a measure of how "far" the vector reaches in space, an essential step before delving into direction cosines and angles.
3D vectors are widely used in various applications such as computer graphics, where they help simulate realistic movements and transformations.
To find its magnitude, or the vector's length, we use the formula \( \|\mathbf{a}\| = \sqrt{x^2 + y^2 + z^2} \). By substituting in our values, \( \|\mathbf{a}\| = \sqrt{1^2 + 2^2 + 3^2} = \sqrt{14} \). This provides a measure of how "far" the vector reaches in space, an essential step before delving into direction cosines and angles.
3D vectors are widely used in various applications such as computer graphics, where they help simulate realistic movements and transformations.
Mathematical Problems
Solving mathematical problems involving vectors in 3D often includes finding direction cosines and angles. Direction cosines are the cosines of the angles between the vector and the positive x, y, and z axes, respectively. They are calculated by dividing each component by the vector's magnitude. For instance, the direction cosines for the vector \( (1, 2, 3) \) with magnitude \( \sqrt{14} \) are:
- \( \cos \alpha = \frac{1}{\sqrt{14}} \)
- \( \cos \beta = \frac{2}{\sqrt{14}} \)
- \( \cos \gamma = \frac{3}{\sqrt{14}} \)
- \( \alpha = \cos^{-1}\left(\frac{1}{\sqrt{14}}\right) \)
- \( \beta = \cos^{-1}\left(\frac{2}{\sqrt{14}}\right) \)
- \( \gamma = \cos^{-1}\left(\frac{3}{\sqrt{14}}\right) \)
Other exercises in this chapter
Problem 24
Find \(\mathbf{a}+(\mathbf{b}+\mathbf{c})\) for the given vectors. \(\mathbf{a}=\langle 1,1\rangle, \mathbf{b}=\langle 4,3\rangle, \mathbf{c}=\langle 0,-2\rangl
View solution Problem 25
In Problems \(25-28\), determine whether the given vectors are linearly independent or linearly dependent. $$ \langle 4,-8\rangle,(-6,12) \text { in } R^{2} $$
View solution Problem 25
Find the indicated scalar or vector without using \((5),(13)\), or \((15)\). $$ (\mathbf{i}+\mathbf{j}) \times(\mathbf{i}+5 \mathbf{k}) $$
View solution Problem 25
The given three points form a triangle. Determine which triangles are isosceles and which are right triangles. $$ (0,0,0),(3,6,-6),(2,1,2) $$
View solution