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Matrices - Eigenvalues/vectors/diagonalisation

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Uploaded by on Mar 14, 2009

The method of diagonalisation using eigenvalues and eigenvectors with examples

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Uploader Comments (burny1)

  • Can you tell me... What are the strengths and limitations of using diagonalisation of matrices.

  • @Ashbearify They are good at solving functions as in this video /watch?v=JC3KmZGkc9w . However if there are a large number of variables and/or a large matrix it is very difficult without the use of a computer to solve the simultaneous equations. Not to mention finding the determinant becomes time consuming also. But for smaller matrices it can be quite simple.

  • from where did u get x1 times the metrix (1,1) at 4:56 minutes ?? 

  • @orpawil i'm just taking the x1 out of the eigenvector (x1,x1) we have found so x1 can just multiply to be anything. eg we could say it is 2 and use (2,2). because we decided that inorder for (A-I)x=0 x needs to have both x1 and x2 same

  • i have a question only eigen values and eigen vector not diagonalisation.

  • i dont understand your question sorry. diagonaliseation is at the end of the video

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All Comments (26)

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  • what just happened...? fairly unclear explanation

  • thanks for sharing mate

  • wats a vekter

  • OMG....THANK YOUUUUU SOOO MUCH.... u just save my ass before my midterm exam ^_^

  • Thank you very much. i'll have an exam about this tomorrow, on my Information Retrieval Course, this eigenvalues and eigenvectors cause me a very hard time!

  • thanks a lot man you helped me a lot!!

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