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Diagonalization matrix
Monday March 28 2016
Hanpen Robot
Let ๐”ธ be a 2x2 square matrix
and ๐•ง ๐œ†1
, ๐•ง ๐œ†2
be a eigenvector of ๐”ธ.
Now consider a coordinate on ๐•ง ๐œ†1
, ๐•ง ๐œ†2
.
๐”ธ ๐‘ฅ๐•ง ๐œ†1
+ ๐‘ฆ๐•ง ๐œ†2
= ๐‘ฅ๐œ†1 ๐•ง ๐œ†1
+ ๐‘ฆ๐œ†2 ๐•ง ๐œ†2
โˆด
๐‘ฅ
๐‘ฆ =
๐œ†1 ๐‘ฅ
๐œ†2 ๐‘ฆ
=
๐œ†1 0
0 ๐œ†2
๐‘ฅ
๐‘ฆ
Diagonalization matrix

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  • 2. Let ๐”ธ be a 2x2 square matrix and ๐•ง ๐œ†1 , ๐•ง ๐œ†2 be a eigenvector of ๐”ธ. Now consider a coordinate on ๐•ง ๐œ†1 , ๐•ง ๐œ†2 . ๐”ธ ๐‘ฅ๐•ง ๐œ†1 + ๐‘ฆ๐•ง ๐œ†2 = ๐‘ฅ๐œ†1 ๐•ง ๐œ†1 + ๐‘ฆ๐œ†2 ๐•ง ๐œ†2 โˆด ๐‘ฅ ๐‘ฆ = ๐œ†1 ๐‘ฅ ๐œ†2 ๐‘ฆ = ๐œ†1 0 0 ๐œ†2 ๐‘ฅ ๐‘ฆ