Part 4: Eigenvalues and Eigenvectors

[@mitocw]

For links to Professors Strang’s related courses on OCW, visit the Related Resources page on the full resource site: ocw.mit.edu/2020-vision.

[@diveshsoni2779]

I think there might be an error at 7.37. Shouldn’t A2 =(XɅX-1)(XɅX-1) rather than (XɅX-1)(XAX-1) ?

[@uditakatugampola]

Thank you for all these excellent lectures. It will help many students.

[@ゾカリクゾ]

@@diveshsoni2779 yup that's a mistake

[@70mavgr]

85 years old and his mind is as sharp as ever. Some people are simply on another lever.

[@tens0r884]

And others on another level :)

[@brendawilliams8062]

Amazing!!

[@erickleuro6159]

I'm sure someone else already mentioned it, but in the Eigenvector, Eigenvalue factorization of A^2 at 9:26, in the second parenthesis, there should be a capital lambda instead of "A". Professor Strang and MIT-OCW, a million Eigen-thanks to both of you for these lectures. They are truly enlightening and a joy to watch

[@neoblackcyptron]

His lectures are the golden standard. I think I will visit and re-visit his lectures for the rest of my life. I always learn something new. Linear Algebra is one of those subjects where, you gain deeper insight the more times you revisit the concepts again and again, after applying them in the real world.

[@iwonakozlowska6134]

In my country it is said that there are no irreplaceable people , but I think Gilbert Strang is an absolute exception to this rule.

[@maheshmane6365]

His energy and devotion about mathematics is amazing.....thank u for teaching linear algebra ......

[@uditakatugampola]

Very agree.

[@nickey0207]

X1.5 unleashes the true power of Strang!

[@rswamy1241]

He is the god of algebra.

[@brendawilliams8062]

Awesome

[@neurojojo]

Prof. Strang seemed to be just as surprised as me when he saw the slide 07:25

[@uditakatugampola]

Very true.

[@davidneff8086]

MIT Great professor, since 1960.

[@MrFurano]

Great lectures! Yet, I think the camera should have always included Prof. Strang in the frame. Don't zoom in on the lecture notes. Everyone can print out the notes. They are publicly available. When the video only shows the notes, I don't get to see what Prof. Strang pointed at when he talked.

[@amitbarnahum4732]

thinking exactly the same

[@maxwellsdaemon7]

I am about to finish this series of videos. Enjoying it so far. BTW, \lambda_r should be \lambda_n on the slide at 5:01

[@brendawilliams8062]

They are well explained

[@hamzaliaqet9206]

At 2:55, he meant cosine is 0 (not 1).

[@pencil5723]

Thank you Professor Strang! I love your 18.06 course!!

[@echolee601]

Very thought-provoking lectures！Thank you Professor Strang

[@johncunningham650]

Thank you for this lecture, this information will be put to good use

[@louis9116]

This man needs to be the presient

[@金炼]

I love it. Very nice video.

[@aponom84]

3:09 "Хорошо!" :-D

[@weili5716]

"You can tune out if you hate proofs"

[@brendawilliams8062]

Thankyou

[@mcab2222]

I want to get old like him

[@brendawilliams8062]

We need the matrix on a super cereal box.

[@videofountain]

Staggering Enthusiasm

[@MasterCivilEngineering]

Step by step video solution for civil engineering questions

[@MasterCivilEngineering]

Step by step video solutions for civil engineering questions

[@timmy18135]

4:48

[@uditakatugampola]

You may also like kzbin.info/www/bejne/hpXFc3tsqK1po9k Here we discuss a quick method to find eigenvectors for certain matrices. Thank you.