Symmetric matrices - eigenvalues & eigenvectors

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A basic introduction to symmetric matrices and their properties, including eigenvalues and eigenvectors. Several examples are presented to illustrate the ideas. Symmetric matrices enjoy interesting applications to quadratic forms.
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The best ever explanation of eigen value theorem .

TheOnlyRaceEngineer
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I'm glad you are enjoying my videos and hope that my free ebook is also of some use. The link is in the description.
Your comment sparks the question "What's the optimal number of YouTube views to have?" to which I reply "Oh, just a few more". :-) (This is my 21st century remix of a famous quote from Rockefeller)

DrChrisTisdell
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Thank you so much! You made things so clear and simple to understand

hotgirleverr
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Thanks a lot sir, your vids still helping us

plyer
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Hi - there are more examples in my free ebook. The link is in the description

DrChrisTisdell
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So in 35:14, both (1, 0, -1)(0, 1, -1) and (1, 0, -1)(1, -2, 1) are correct. Right?

surajvijay
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can you please calculate the matrix
0/0/-24
1/0/-26
0/1/-9
thanks

Magneticromance