Answer on Question #79868 – Math – Linear Algebra
Question
Consider the basis e 1 = ( − 2 , 4 , − 1 ) , e 2 = ( − 1 , 3 , − 1 ) e_1 = (-2, 4, -1), e_2 = (-1, 3, -1) e 1 = ( − 2 , 4 , − 1 ) , e 2 = ( − 1 , 3 , − 1 ) and e 3 = ( 1 , − 2 , 1 ) e_3 = (1, -2, 1) e 3 = ( 1 , − 2 , 1 ) of R 3 \mathbb{R}^3 R 3 over R \mathbb{R} R . Find the dual basis of { e 1 , e 2 , e 3 } \{e_1, e_2, e_3\} { e 1 , e 2 , e 3 } .
Solution
For every basis { e 1 , e 2 , e 3 } \{e_1, e_2, e_3\} { e 1 , e 2 , e 3 } there is a basis { v 1 , v 2 , v 3 } \{v_1, v_2, v_3\} { v 1 , v 2 , v 3 } such that
v i ( e j ) = { 1 if i ≠ j 0 if i = j v_i(e_j) = \begin{cases} 1 & \text{if } i \ne j \\ 0 & \text{if } i = j \end{cases} v i ( e j ) = { 1 0 if i = j if i = j
The basis { v 1 , v 2 , v 3 } \{v_1, v_2, v_3\} { v 1 , v 2 , v 3 } is known as the dual basis of { e 1 , e 2 , e 3 } \{e_1, e_2, e_3\} { e 1 , e 2 , e 3 } . Clearly, it is unique.
\begin{aligned}
&\langle v_i, e_j \rangle = \delta_{ij} \\
AM = \begin{pmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{pmatrix}, \quad M = \begin{pmatrix} -2 & 4 & -1 \\ -1 & 3 & -1 \\ 1 & -2 & 1 \end{pmatrix} \\
A = M^{-1} \\
\begin{pmatrix} -2 & 4 & -1 & 1 & 0 & 0 \\ -1 & 3 & -1 & 0 & 1 & 0 \\ 1 & -2 & 1 & 0 & 0 & 1 \end{pmatrix} \xrightarrow{R_1 / (-2)} \begin{pmatrix} 1 & -2 & 1/2 & -1/2 & 0 & 0 \\ -1 & 3 & -1 & 0 & 1 & 0 \\ 1 & -2 & 1 & 0 & 0 & 1 \end{pmatrix} \\
\begin{pmatrix} 1 & -2 & 1/2 & -1/2 & 0 & 0 \\ -1 & 3 & -1 & 0 & 1 & 0 \\ 1 & -2 & 1 & 0 & 0 & 1 \end{pmatrix} \xrightarrow{R_2 + R_1} \begin{pmatrix} 1 & -2 & 1/2 & -1/2 & 0 & 0 \\ 0 & 1 & -1/2 & -1/2 & 1 & 0 \\ 1 & -2 & 1 & 0 & 0 & 1 \end{pmatrix} \\
\begin{pmatrix} 1 & -2 & 1/2 & -1/2 & 0 & 0 \\ 0 & 1 & -1/2 & -1/2 & 1 & 0 \\ 1 & -2 & 1 & 0 & 0 & 1 \end{pmatrix} \xrightarrow{R_3 - R_1} \begin{pmatrix} 1 & -2 & 1/2 & -1/2 & 0 & 0 \\ 0 & 1 & -1/2 & -1/2 & 1 & 0 \\ 0 & 0 & 1/2 & 1/2 & 0 & 1 \end{pmatrix} \\
\begin{pmatrix} 1 & -2 & 1/2 & -1/2 & 0 & 0 \\ 0 & 1 & -1/2 & -1/2 & 1 & 0 \\ 0 & 0 & 1/2 & 1/2 & 0 & 1 \end{pmatrix} \xrightarrow{R_1 + (2)R_2} \begin{pmatrix} 1 & 0 & -1/2 & -3/2 & 2 & 0 \\ 0 & 1 & -1/2 & -1/2 & 1 & 0 \\ 0 & 0 & 1/2 & 1/2 & 0 & 1 \end{pmatrix} \\
\begin{pmatrix} 1 & 0 & -1/2 & -3/2 & 2 & 0 \\ 0 & 1 & -1/2 & -1/2 & 1 & 0 \\ 0 & 0 & 1/2 & 1/2 & 0 & 1 \end{pmatrix} \xrightarrow{R_1 + R_3} \begin{pmatrix} 1 & 0 & 0 & -1 & 2 & 1 \\ 0 & 1 & -1/2 & -1/2 & 1 & 0 \\ 0 & 0 & 1/2 & 1/2 & 0 & 1 \end{pmatrix} \\
\begin{pmatrix} 1 & 0 & 0 & -1 & 2 & 1 \\ 0 & 1 & -1/2 & -1/2 & 1 & 0 \\ 0 & 0 & 1/2 & 1/2 & 0 & 1 \end{pmatrix} \xrightarrow{R_2 + R_3} \begin{pmatrix} 1 & 0 & 0 & -1 & 2 & 1 \\ 0 & 1 & 0 & 0 & 1 & 1 \\ 0 & 0 & 1/2 & 1/2 & 0 & 1 \end{pmatrix} \\
\begin{pmatrix} 1 & 0 & 0 & -1 & 2 & 1 \\ 0 & 1 & 0 & 0 & 1 & 1 \\ 0 & 0 & 1/2 & 1/2 & 0 & 1 \end{pmatrix} \xrightarrow{(2)R_3} \begin{pmatrix} 1 & 0 & 0 & -1 & 2 & 1 \\ 0 & 1 & 0 & 0 & 1 & 1 \\ 0 & 0 & 1 & 1 & 0 & 2 \end{pmatrix}
\end{array} A = M − 1 = ( − 1 2 1 0 1 1 1 0 2 ) A = M ^ {- 1} = \left( \begin{array}{c c c} - 1 & 2 & 1 \\ 0 & 1 & 1 \\ 1 & 0 & 2 \end{array} \right) A = M − 1 = ⎝ ⎛ − 1 0 1 2 1 0 1 1 2 ⎠ ⎞ v 1 = ( − 1 , 0 , 1 ) , v _ {1} = (- 1, 0, 1), v 1 = ( − 1 , 0 , 1 ) , v 2 = ( 2 , 1 , 0 ) , v _ {2} = (2, 1, 0), v 2 = ( 2 , 1 , 0 ) , v 3 = ( 1 , 1 , 2 ) . v _ {3} = (1, 1, 2). v 3 = ( 1 , 1 , 2 ) .
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