Answer on Question #81421 – 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
Let { e 1 , e 2 , e 3 } \{e^1, e^2, e^3\} { e 1 , e 2 , e 3 } is the dual basis of { e 1 , e 2 , e 3 } \{e_1, e_2, e_3\} { e 1 , e 2 , e 3 } . Then ⟨ e i , e j ⟩ = δ j i \langle e^i, e_j \rangle = \delta_j^i ⟨ e i , e j ⟩ = δ j i or
( e 1 e 2 e 3 ) ( e 1 e 2 e 3 ) = I 3 (e^1 \quad e^2 \quad e^3) \begin{pmatrix} e_1 \\ e_2 \\ e_3 \end{pmatrix} = I_3 ( e 1 e 2 e 3 ) ⎝ ⎛ e 1 e 2 e 3 ⎠ ⎞ = I 3
If A = ( e 1 e 2 e 3 ) = ( − 2 4 − 1 − 1 3 − 1 1 − 2 1 ) A = \begin{pmatrix} e_1 \\ e_2 \\ e_3 \end{pmatrix} = \begin{pmatrix} -2 & 4 & -1 \\ -1 & 3 & -1 \\ 1 & -2 & 1 \end{pmatrix} A = ⎝ ⎛ e 1 e 2 e 3 ⎠ ⎞ = ⎝ ⎛ − 2 − 1 1 4 3 − 2 − 1 − 1 1 ⎠ ⎞ , then A − 1 = ( e 1 e 2 e 3 ) A^{-1} = (e^1 \quad e^2 \quad e^3) A − 1 = ( e 1 e 2 e 3 )
A − 1 A = I 3 A^{-1}A = I_3 A − 1 A = I 3
Augment the matrix A A A with identity matrix
( − 2 4 − 1 1 0 0 − 1 3 − 1 0 1 0 1 − 2 1 0 0 1 ) \begin{pmatrix} -2 & 4 & -1 & 1 & 0 & 0 \\ -1 & 3 & -1 & 0 & 1 & 0 \\ 1 & -2 & 1 & 0 & 0 & 1 \end{pmatrix} ⎝ ⎛ − 2 − 1 1 4 3 − 2 − 1 − 1 1 1 0 0 0 1 0 0 0 1 ⎠ ⎞ ( − 2 4 − 1 1 0 0 − 1 3 − 1 0 1 0 1 − 2 1 0 0 1 ) → R 1 / ( − 2 ) ( 1 − 2 1 / 2 − 1 / 2 0 0 − 1 3 − 1 0 1 0 1 − 2 1 0 0 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} ⎝ ⎛ − 2 − 1 1 4 3 − 2 − 1 − 1 1 1 0 0 0 1 0 0 0 1 ⎠ ⎞ R 1 / ( − 2 ) ⎝ ⎛ 1 − 1 1 − 2 3 − 2 1/2 − 1 1 − 1/2 0 0 0 1 0 0 0 1 ⎠ ⎞ ( 1 − 2 1 / 2 − 1 / 2 0 0 − 1 3 − 1 0 1 0 1 − 2 1 0 0 1 ) → R 2 + R 1 ( 1 − 2 1 / 2 − 1 / 2 0 0 0 1 − 1 / 2 − 1 / 2 1 0 1 − 2 1 0 0 1 ) \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} ⎝ ⎛ 1 − 1 1 − 2 3 − 2 1/2 − 1 1 − 1/2 0 0 0 1 0 0 0 1 ⎠ ⎞ R 2 + R 1 ⎝ ⎛ 1 0 1 − 2 1 − 2 1/2 − 1/2 1 − 1/2 − 1/2 0 0 1 0 0 0 1 ⎠ ⎞ ( 1 − 2 1 / 2 − 1 / 2 0 0 0 1 − 1 / 2 − 1 / 2 1 0 1 − 2 1 0 0 1 ) → R 3 − R 1 ( 1 − 2 1 / 2 − 1 / 2 0 0 0 1 − 1 / 2 − 1 / 2 1 0 0 0 1 / 2 1 / 2 0 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} \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} ⎝ ⎛ 1 0 1 − 2 1 − 2 1/2 − 1/2 1 − 1/2 − 1/2 0 0 1 0 0 0 1 ⎠ ⎞ R 3 − R 1 ⎝ ⎛ 1 0 0 − 2 1 0 1/2 − 1/2 1/2 − 1/2 − 1/2 1/2 0 1 0 0 0 1 ⎠ ⎞ ( 1 − 2 1 / 2 − 1 / 2 0 0 0 1 − 1 / 2 − 1 / 2 1 0 0 0 1 / 2 1 / 2 0 1 ) → R 1 + ( 2 ) R 2 ( 1 0 − 1 / 2 − 3 / 2 2 0 0 1 − 1 / 2 − 1 / 2 1 0 0 0 1 / 2 1 / 2 0 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} \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} ⎝ ⎛ 1 0 0 − 2 1 0 1/2 − 1/2 1/2 − 1/2 − 1/2 1/2 0 1 0 0 0 1 ⎠ ⎞ R 1 + ( 2 ) R 2 ⎝ ⎛ 1 0 0 0 1 0 − 1/2 − 1/2 1/2 − 3/2 − 1/2 1/2 2 1 0 0 0 1 ⎠ ⎞ ( 1 − 2 1 / 2 − 1 / 2 0 0 0 1 − 1 / 2 − 1 / 2 1 0 0 0 1 / 2 1 / 2 0 1 ) → R 1 + R 3 ( 1 0 0 − 1 2 1 0 1 − 1 / 2 − 1 / 2 1 0 0 0 1 / 2 1 / 2 0 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} \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} ⎝ ⎛ 1 0 0 − 2 1 0 1/2 − 1/2 1/2 − 1/2 − 1/2 1/2 0 1 0 0 0 1 ⎠ ⎞ R 1 + R 3 ⎝ ⎛ 1 0 0 0 1 0 0 − 1/2 1/2 − 1 − 1/2 1/2 2 1 0 1 0 1 ⎠ ⎞ ( 1 0 0 − 1 2 1 0 1 − 1 / 2 − 1 / 2 1 0 0 0 1 / 2 1 / 2 0 1 ) → R 2 + R 3 ( 1 0 0 − 1 2 1 0 1 0 0 1 1 0 0 1 / 2 1 / 2 0 1 ) \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} ⎝ ⎛ 1 0 0 0 1 0 0 − 1/2 1/2 − 1 − 1/2 1/2 2 1 0 1 0 1 ⎠ ⎞ R 2 + R 3 ⎝ ⎛ 1 0 0 0 1 0 0 0 1/2 − 1 0 1/2 2 1 0 1 1 1 ⎠ ⎞ ( 1 0 0 − 1 2 1 0 1 0 0 1 1 0 0 1 / 2 1 / 2 0 1 ) → ( 2 ) R 3 ( 1 0 0 − 1 2 1 0 1 0 0 1 1 0 0 1 1 0 2 ) \left( \begin{array}{ccccc}
1 & 0 & 0 & -1 & 2 & 1 \\
0 & 1 & 0 & 0 & 1 & 1 \\
0 & 0 & 1/2 & 1/2 & 0 & 1
\end{array} \right) \xrightarrow{(2)R_3} \left( \begin{array}{ccccc}
1 & 0 & 0 & -1 & 2 & 1 \\
0 & 1 & 0 & 0 & 1 & 1 \\
0 & 0 & 1 & 1 & 0 & 2
\end{array} \right) ⎝ ⎛ 1 0 0 0 1 0 0 0 1/2 − 1 0 1/2 2 1 0 1 1 1 ⎠ ⎞ ( 2 ) R 3 ⎝ ⎛ 1 0 0 0 1 0 0 0 1 − 1 0 1 2 1 0 1 1 2 ⎠ ⎞
As can be seen, we have obtained the identity matrix to the left. So
A − 1 = ( − 1 2 1 0 1 1 1 0 2 ) = ( e 1 e 2 e 3 ) A^{-1} = \left( \begin{array}{ccc}
-1 & 2 & 1 \\
0 & 1 & 1 \\
1 & 0 & 2
\end{array} \right) = \left( \begin{array}{ccc}
e^1 & e^2 & e^3
\end{array} \right) A − 1 = ⎝ ⎛ − 1 0 1 2 1 0 1 1 2 ⎠ ⎞ = ( e 1 e 2 e 3 )
Therefore, the vectors
e 1 = ( − 1 0 1 ) , e^1 = \left( \begin{array}{c}
-1 \\
0 \\
1
\end{array} \right), e 1 = ⎝ ⎛ − 1 0 1 ⎠ ⎞ , e 2 = ( 2 1 0 ) , e^2 = \left( \begin{array}{c}
2 \\
1 \\
0
\end{array} \right), e 2 = ⎝ ⎛ 2 1 0 ⎠ ⎞ , e 3 = ( 1 1 2 ) e^3 = \left( \begin{array}{c}
1 \\
1 \\
2
\end{array} \right) e 3 = ⎝ ⎛ 1 1 2 ⎠ ⎞
form the dual basis.
Answer:
e 1 = ( − 1 0 1 ) , e 2 = ( 2 1 0 ) , e 3 = ( 1 1 2 ) . e^1 = \left( \begin{array}{c}
-1 \\
0 \\
1
\end{array} \right), \quad e^2 = \left( \begin{array}{c}
2 \\
1 \\
0
\end{array} \right), \quad e^3 = \left( \begin{array}{c}
1 \\
1 \\
2
\end{array} \right). e 1 = ⎝ ⎛ − 1 0 1 ⎠ ⎞ , e 2 = ⎝ ⎛ 2 1 0 ⎠ ⎞ , e 3 = ⎝ ⎛ 1 1 2 ⎠ ⎞ .
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