otherwise there will be a minus in front of the lumda and negative signs will cause subsequent steps to be tedious and probably cause some careless mistakes lol
WRONG eqn at the beginning. To find eigenvalues, set det( lumda I - A)=0 and not det (A- lumda I) as he wrote on the board. other than that great lecture
Brilliant, brilliant lecture! All books I have read go straight to the algebra of computing the eigenvalues and eigenvectors without explaining the underlying meaning and make it so complicated. The simplicity of his explanation is pure brilliance!
And yet Prof. Strang doesn't mention anything about eigenvectors being the basis of the column space of matrix A in this video. So..... just like your books, this lecture also does not explain all of the underlying meaning of eigenvectors. You haven't got everything yet just by watching this lecture.
This lecture is so important to quantum mechanics, that it is a good review for the linear algebra behind it. I also give it six stars (so what it can only have 5).
Good, I like that you share this video, I wish success always Eigenvalues and Eigenvectors.
AntoMelta 2 weeks ago
Nice Video Eigenvalues and Eigenvectors That You Share , So Very Nice Thanks You
willamricard 2 weeks ago
I Really Like The Video Eigenvalues and Eigenvectors From Your
imegatrone 2 weeks ago
Your Video Eigenvalues and Eigenvectors Is Very Useful Sharing
bundawartini 2 weeks ago
Oh this is really saving my course
Imbacordes 3 weeks ago
he is amazing :)
noorceen 3 weeks ago
na wer is deutsch
RegineCarened186 1 month ago 3
Man. I hope those students realize what an amazing teacher they have. Teachers that great are slim pickin's.
59thbridge 1 month ago 2
Great! I think this is one of the best linear algebra lectures I have ever seen!
Wingedzephir 2 months ago
Savior for me.
Labyrinthofmysoul 2 months ago in playlist MIT 18.06 Linear Algebra, Spring 2005
This has been flagged as spam show
iphone and ipad app for calculating matrices:
itunes.apple.com/us/app/matrix-multiplication/id477093471?mt=8
bebefore3 2 months ago
Holy shit this is so much clearer than what I learned in college.
jpmartineau 2 months ago 3
@jpmartineau This is so much clearer than what Im learning right now at my college :)
haldur86 1 month ago in playlist MIT 18.06 Linear Algebra, Spring 2005
I'm taking this course at another popular university right now and it's nice to see a professor explaining this in clear english.
dinodonia 3 months ago
@dinodonia
what university? I am taking this course right now too at a popular university.
bje717i 2 months ago
@bje717i MIT
enkii82 2 months ago
this guy is a fucking teaching genius, period.
salgadoxilinx 3 months ago 4
awesome
suvrakantichakrabort 3 months ago
thanks professor gilbert
akhil089 3 months ago in playlist b.linear algebra
i love your lectures Mr.Strang!
you give a completely practical and intuitive meaning to mathematics concepts!
Thank you!
TSUKItsuki19 4 months ago
boooooooo *thumb up*
hypnoticpoisons 5 months ago
Enjoyed this lecture. Even laughed out loud in a couple of places.
LAnonHubbard 7 months ago
λ is an eigenvalue if dim(Vλ) > 0, i.e., if ker(T − λI) is not equal to {0}, which means that (T − λI) is not invertible, and so det(T − λI) = 0.
eddsaunders1 8 months ago
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finapon 6 months ago
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sendaitohoku 8 months ago
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sendaitohoku 8 months ago
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sendaitohoku 8 months ago
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sendaitohoku 8 months ago
WHY MUST A-yI BE SINGULAR??
MatrixOfDynamism 8 months ago
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finapon 6 months ago
@MatrixOfDynamism
you wanna find the eigenvector x (apart from the zerovector) with the property Ax=λx => (A-λI)x=0
so if there is an nonzero solution x, (A-λI) must not be invertible, in other words the term must be singular.
hypnoticpoisons 5 months ago
otherwise there will be a minus in front of the lumda and negative signs will cause subsequent steps to be tedious and probably cause some careless mistakes lol
amazingx87 9 months ago
WRONG eqn at the beginning. To find eigenvalues, set det( lumda I - A)=0 and not det (A- lumda I) as he wrote on the board. other than that great lecture
amazingx87 9 months ago
@amazingx87 you can do it either way,
alang504 9 months ago
@amazingx87 you can do it either way.
alang504 9 months ago
ugg I hate it when the audio is not right..great lecture tho
blackrobe2007 9 months ago
life saver before my final exam tomorrow,I know everything else perfectly except eigenvectors, thanks a lot MIT
robyniscool99 9 months ago
not perfect but he figures out some cool features ...
gachmari 9 months ago
thanks for this brilliant explanation. Yet I wonder why lambda_1 and lambda_2 don't add up to 0 for the second example, A=[3 1; 1 3]
dragovian 10 months ago
@dragovian whoops, my mistake. They add up to 6, which are the diagonal numbers of A. Looking at the wrong matrix
dragovian 10 months ago
lol I want to meet the 3 people who "disliked" this...who "dislikes" a linear algebra lecture....
benzbubblecat 10 months ago
Thanks the Internet! I'm now a MIT student!
DarcyWLincoln 1 year ago 6
Brilliant, brilliant lecture! All books I have read go straight to the algebra of computing the eigenvalues and eigenvectors without explaining the underlying meaning and make it so complicated. The simplicity of his explanation is pure brilliance!
sdcororaton 1 year ago
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alquiora 1 year ago
This has been flagged as spam show
@sdcororaton
And yet Prof. Strang doesn't mention anything about eigenvectors being the basis of the column space of matrix A in this video. So..... just like your books, this lecture also does not explain all of the underlying meaning of eigenvectors. You haven't got everything yet just by watching this lecture.
alquiora 1 year ago
lucky you MIT students !!!!
yoyaya007 1 year ago
Thanks Strang, this explanation is awesome. I think that all Linear Algebra courses must indicate those videos as a kind of homework.
muaythad 1 year ago
I have an absolutely awful professor for Linear Algebra. These video lectures are the only reason why I am getting an A in the class.
twirmd 1 year ago
This is the best explanation of Eigenvectors I have yet heard! 6 Stars!
paulnscheidt 1 year ago
It is amazing, I love to watch this videos. Thanks Gilbert Strang and MIT.
phdivancrace 1 year ago
He should be awarded Nobel prize for education.
padmanandm 1 year ago
If I had had such teachers... Just brilliant! Thank you very much prof. Strang!
athoverlord 1 year ago
Have a good weekend.
A real New England weekend.
berkeley73 1 year ago
'innocent looking quadratic' :D
musa78692 1 year ago
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adlertc 1 year ago
Amazing lectures, Strang always helps! Thank you very very much!
juhxmn2 1 year ago
I use this guy to teach me what my teacher was terrible at teaching. He's a lifesaver.
dougotgame33 1 year ago
Strang is probably the best lecturer I have seen on linear algebra.
powerfury 1 year ago
the guy is genius..
ezhavapanicker 1 year ago
dude this is why i love the internet
share the knowledge!!!!
dr. strang is the man!
DaWanderer 1 year ago 3
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frkngrpnr 2 years ago
Prof. Strang, I love you! An honest THANK YOU!
Thanks to you I had 18 in linear Algebra :D
iwalkedonthesun 2 years ago 2
Thanks for putting this on youtube! This really helped me!
aesklava 2 years ago 5
Really good lecture,better than my professor in uni
fza421 2 years ago 8
This lecture is so important to quantum mechanics, that it is a good review for the linear algebra behind it. I also give it six stars (so what it can only have 5).
Great lecture
russelljbarry15 2 years ago 9
Is there a way to give this 6 stars?
Really, premium stuff.
akska8 2 years ago 74
hearty thanks for sharing
anbarasan109 2 years ago 4
Awesome lesson
AbreValas 2 years ago 34