Problem 11
Question
In Exercises \(9-14,\) sketch the coordinate axes and then include the vectors \(\mathbf{u}, \mathbf{v}\) and \(\mathbf{u} \times \mathbf{v}\) as vectors starting at the origin. $$ \mathbf{u}=\mathbf{i}-\mathbf{k}, \quad \mathbf{v}=\mathbf{j}+\mathbf{k} $$
Step-by-Step Solution
Verified Answer
The vectors are \(\mathbf{u} = \langle 1, 0, -1 \rangle\), \(\mathbf{v} = \langle 0, 1, 1 \rangle\), and \(\mathbf{u} \times \mathbf{v} = \langle 1, -1, 1 \rangle\).
1Step 1: Identify the Vectors and Their Components
Begin by identifying the given vectors and their respective components.Vector \(\mathbf{u}\) is \(\langle 1, 0, -1 \rangle\), where the components correspond to the coefficients of \(\mathbf{i}, \mathbf{j},\) and \(\mathbf{k}\) respectively.Vector \(\mathbf{v}\) is \(\langle 0, 1, 1 \rangle\).
2Step 2: Calculate the Cross Product \(\mathbf{u} \times \mathbf{v}\)
To find the cross product \(\mathbf{u} \times \mathbf{v}\), set up the determinant:\[\mathbf{u} \times \mathbf{v} = \begin{vmatrix}\mathbf{i} & \mathbf{j} & \mathbf{k} \1 & 0 & -1 \0 & 1 & 1\end{vmatrix}\]Calculate the determinant:\[\mathbf{u} \times \mathbf{v} = (0-(-1))\mathbf{i} - (1-0)\mathbf{j} + (1\cdot1 - 0\cdot(-1))\mathbf{k}\]This simplifies to:\[\mathbf{u} \times \mathbf{v} = \mathbf{i} - \mathbf{j} + \mathbf{k}\]
3Step 3: Draw the Coordinate Axes
Draw a three-dimensional coordinate system with axes labeled \(x\), \(y\), and \(z\). Ensure that each axis is properly oriented and scaled.
4Step 4: Plot the Vector \(\mathbf{u}\)
From the origin \((0, 0, 0)\), draw the vector \(\mathbf{u} = \langle 1, 0, -1 \rangle\). This vector moves one unit in the \(x\)-direction and one unit back in the \(z\)-direction.
5Step 5: Plot the Vector \(\mathbf{v}\)
Starting at the origin \((0, 0, 0)\), draw the vector \(\mathbf{v} = \langle 0, 1, 1 \rangle\). This vector moves one unit in the \(y\)-direction and one unit up in the \(z\)-direction.
6Step 6: Plot the Cross Product Vector \(\mathbf{u} imes \mathbf{v}\)
Finally, starting from the origin \((0, 0, 0)\), draw the cross product vector \(\mathbf{u} \times \mathbf{v} = \langle 1, -1, 1 \rangle\). This vector moves one unit in the \(x\)-direction, one unit back in the \(y\)-direction, and one unit up in the \(z\)-direction.
Key Concepts
Coordinate AxesVector ComponentsDeterminant
Coordinate Axes
The coordinate axes are a crucial part of vector mathematics. They help us understand where points lie in a three-dimensional space. Typically, these axes are labeled as \(x\), \(y\), and \(z\), representing three perpendicular directions.
When we plot vectors like \(\mathbf{u}\) and \(\mathbf{v}\), we use these axes to locate their positions in the space. For instance, in the exercise, vector \(\mathbf{u}\) moves along the \(x\) and \(-z\) directions. Similarly, vector \(\mathbf{v}\) corresponds to the \(y\) and \(z\) axes.
By visualizing these vectors on the coordinate axes, we can better comprehend their direction and magnitude.
When we plot vectors like \(\mathbf{u}\) and \(\mathbf{v}\), we use these axes to locate their positions in the space. For instance, in the exercise, vector \(\mathbf{u}\) moves along the \(x\) and \(-z\) directions. Similarly, vector \(\mathbf{v}\) corresponds to the \(y\) and \(z\) axes.
By visualizing these vectors on the coordinate axes, we can better comprehend their direction and magnitude.
- The \(x\)-axis is usually horizontal.
- The \(y\)-axis is typically vertical.
- The \(z\)-axis comes out towards you, perpendicular to the other two axes.
Vector Components
Vector components are the projections of a vector along the coordinate axes. These components give us a clear understanding of how much a vector extends in each direction. In our exercise, the vector \(\mathbf{u}\) is expressed as \(\langle 1, 0, -1 \rangle\), meaning it has:
It helps us visualize how a vector moves through 3D space.
- 1 unit in the \(x\)-direction
- 0 units in the \(y\)-direction
- -1 unit in the \(z\)-direction
- 0 units in the \(x\)-direction
- 1 unit in the \(y\)-direction
- 1 unit in the \(z\)-direction
It helps us visualize how a vector moves through 3D space.
Determinant
The determinant is an important concept when dealing with matrices and vectors. When calculating the cross product of two vectors, the determinant provides a systematic way to find a vector that is perpendicular to both.
To compute the cross product \(\mathbf{u} \times \mathbf{v}\), we organize their components in a 3x3 matrix form, with the unit vectors \(\mathbf{i}, \mathbf{j}, \mathbf{k}\) forming the first row. The vector components of \(\mathbf{u}\) and \(\mathbf{v}\) follow in subsequent rows:
\[\begin{vmatrix}\mathbf{i} & \mathbf{j} & \mathbf{k} \ 1 & 0 & -1 \ 0 & 1 & 1\end{vmatrix}\]
This matrix is solved by expanding the determinant along the first row, yielding each component of the resulting vector: \(\mathbf{i} - \mathbf{j} + \mathbf{k}\).
This systematic approach not only aids in finding the cross product but also enhances our understanding of vector direction and orientation. It's a foundational skill in linear algebra and vector calculus.
To compute the cross product \(\mathbf{u} \times \mathbf{v}\), we organize their components in a 3x3 matrix form, with the unit vectors \(\mathbf{i}, \mathbf{j}, \mathbf{k}\) forming the first row. The vector components of \(\mathbf{u}\) and \(\mathbf{v}\) follow in subsequent rows:
\[\begin{vmatrix}\mathbf{i} & \mathbf{j} & \mathbf{k} \ 1 & 0 & -1 \ 0 & 1 & 1\end{vmatrix}\]
This matrix is solved by expanding the determinant along the first row, yielding each component of the resulting vector: \(\mathbf{i} - \mathbf{j} + \mathbf{k}\).
This systematic approach not only aids in finding the cross product but also enhances our understanding of vector direction and orientation. It's a foundational skill in linear algebra and vector calculus.
Other exercises in this chapter
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