\[\vec {u}=\begin{bmatrix} 0\\ 4\\ -3 \end{bmatrix}\]
Answer:
\[\vec {u}=\answer {0}\vec {i}+\answer {4}\vec {j}+\answer {-3}\vec {k}\]
Standard Unit Vectors in \(\RR ^n\)
Standard Unit Vectors in \(\RR ^2\) and \(\RR ^3\)
A unit vector is a vector of length 1. A unit vector in the positive direction of a coordinate axis is called a standard unit vector. There are two standard unit vectors in \(\RR ^2\). The vector \(\vec {i}=\begin{bmatrix} 1\\ 0 \end{bmatrix}\) is parallel the \(x\)-axis, and the vector \(\vec {j}=\begin{bmatrix} 0\\ 1 \end{bmatrix}\) is parallel the \(y\)-axis.
![[Picture]](main.online-8a075466df2d95ea88347bcaafdb2b66.svg)
Vector names \(\vec {i}\) and \(\vec {j}\) are reserved for standard unit vectors in the direction of \(x\) and \(y\) axes, respectively. We chose to express \(\vec {i}\) and \(\vec {j}\) as column vectors, instead of row vectors, because the context in which we will encounter them in the future will require them to be column vectors. You may see them presented as row vectors in a different course.
There are three standard unit vectors in \(\RR ^3\):
\[\vec {i}=\begin{bmatrix} 1\\ 0\\ 0 \end{bmatrix},\quad \vec {j}=\begin{bmatrix} 0\\ 1\\ 0 \end{bmatrix},\quad \vec {k}=\begin{bmatrix} 0\\ 0\\ 1 \end{bmatrix}\]
![[Picture]](main.online-5f8ca10fba4dc48d11adbc2ab10a4184.svg)
A Vector as a Linear Combination of Standard Unit Vectors
Every vector in \(\RR ^2\) and \(\RR ^3\) can be written as a sum of scalar multiples of \(\vec {i}\), \(\vec {j}\) and \(\vec {k}\). For example, if \(\vec {v}=\begin{bmatrix} 3\\ -2\\ 7 \end{bmatrix}\), then
\[\vec {v}=\begin{bmatrix} 3\\ -2\\ 7 \end{bmatrix}=\begin{bmatrix} 3\\ 0\\ 0 \end{bmatrix}+\begin{bmatrix} 0\\ -2\\ 0 \end{bmatrix}+\begin{bmatrix} 0\\ 0\\ 7 \end{bmatrix}=3\begin{bmatrix} 1\\ 0\\ 0 \end{bmatrix}+(-2)\begin{bmatrix} 0\\ 1\\ 0 \end{bmatrix}+7\begin{bmatrix} 0\\ 0\\ 1 \end{bmatrix}=3\vec {i}-2\vec {j}+7\vec {k}\]
The expression \(3\vec {i}-2\vec {j}+7\vec {k}\) is called a linear combination of \(\vec {i}\), \(\vec {j}\) and \(\vec {k}\).
Standard Unit Vectors in \(\RR ^n\)
When working with vectors in \(\RR ^n\), we often use a different notation to denote the standard unit vectors.
Let \(\vec {e}_i\) denote a vector that has \(1\) as the \(i^{th}\) component and zeros elsewhere. In other
words,
\[\vec {e}_i=\begin{bmatrix} 0\\ 0\\ \vdots \\ 1\\ \vdots \\ 0 \end{bmatrix}\]
where \(1\) is in the \(i^{th}\) position. We say that \(\vec {e}_i\) is a standard unit vector of \(\RR ^n\). Practice Problems
Express the given vector as a linear combination of appropriate standard unit
vectors.
Express the given vector as a linear combination of appropriate standard unit
vectors.
\[\vec {w}=\begin{bmatrix} 5\\ -3\\ 1\\ 7 \end{bmatrix}\]
Answer:
\[\vec {w}=\answer {5}\vec {e}_1+\answer {-3}\vec {e}_2+\answer {1}\vec {e}_3+\answer {7}\vec {e}_4\]
Express the given vector in component form.
\[\vec {u}=\vec {i}+3\vec {j}\]
is a vector in \(\RR ^2\).
Answer:
\[\vec {u}=\begin{bmatrix}\answer {1}\\\answer {3}\end{bmatrix}\]