User:IssaRice/Linear algebra/Dual basis: Difference between revisions
No edit summary |
No edit summary |
||
| Line 11: | Line 11: | ||
Now let us extend this example to discuss dual spaces. | Now let us extend this example to discuss dual spaces. | ||
Given some mixture (i.e. linear combination) <math>a \times CO_2 + b \times CO</math>, the dual basis of <math>\beta</math> consists of two linear functionals <math> | Given some mixture (i.e. linear combination) <math>a \times CO_2 + b \times CO</math>, the dual basis of <math>\beta</math> consists of two linear functionals <math>\varphi_1, \varphi_2</math> such that | ||
<math>\varphi_1(a \times CO_2 + b \times CO) = a</math> | <math>\varphi_1(a \times CO_2 + b \times CO) = a</math> | ||
| Line 17: | Line 17: | ||
<math>\varphi_2(a \times CO_2 + b \times CO) = b</math> | <math>\varphi_2(a \times CO_2 + b \times CO) = b</math> | ||
Similarly, given some mixture <math>c \times C + d \times O</math>, the dual | Similarly, given some mixture <math>c \times C + d \times O</math>, the dual basis of <math>\beta'</math> consists of two linear functionals <math>\psi_1, \psi_2</math> such that | ||
<math>\psi_1(c \times C + d \times O) = c</math> | <math>\psi_1(c \times C + d \times O) = c</math> | ||
Revision as of 05:46, 30 July 2019
see p. 224 of https://terrytao.files.wordpress.com/2011/06/blog-book.pdf
the following example is based on p. 115 of https://terrytao.files.wordpress.com/2016/12/linear-algebra-notes.pdf
Let be the space of all mixtures of CO2 and CO, and let and .
The change of coordinate matrix, from to , is then .
The change of coordinate matrix, from to , is the inverse of , and we have .
Now let us extend this example to discuss dual spaces.
Given some mixture (i.e. linear combination) , the dual basis of consists of two linear functionals such that
Similarly, given some mixture , the dual basis of consists of two linear functionals such that
Now we can ask, given , how can we write it in terms of ?
Given the mixture , we can write this as . Thus, and . In other words, our task is to express in terms of and . We get , so .
Similarly, we get .
Thus, the matrix is . This matrix is the transpose of . This is not a coincidence.