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  3. Linear Algebra Foundations
  4. Linear Algebra Foundations #10 - Eigenvectors
  5. Discussions

Linear Algebra Foundations #10 - Eigenvectors

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  • 12223348_Vikash
     + 0 comments

    -2 -1

  • SDido
     + 0 comments

    There is a mistake in the data. k1 =\= "the other" k1

    Someone please change this to k1 and k2 as suggested above.

    The method that is to be taken if k1 and the other "k1" were equal is going to find the eigenspace of this k1. But, alas, when these are not the same one: that's a FATAL mistake. (Sorry).

  • bennattj
     + 0 comments

    Well this "notation" couldn't have been more confusing. For anyone else confused, this is what they are asking for:

    image

    The k_1 and k_2 (or both k_1's as they wrote it) are simply the fact that a multiple of an eigenvector is also an eigenvector.

  • merajmasuk
     + 1 comment

    What is actually k1 here?

  • shubhamkr11
     + 0 comments

    I could not understand the formula provided - v1 = k1 [+1 A ]T