@blackrobe2007 get got [1,5,6] from the fact that he had the condition b3-b1-b2=0 which [1,5,6] satisfies 6-1-5=0 he could equally have chosen anything that satisfied this b3=b1+b2 if he took b3=10 and b1=3 (he could have picked any number he wanted) then; 10=3+b2 b2=7 then when he had [b1,b2-2b1,b3-b2-b1] he would get [3,7-6,10-3-7] which would give him [3,1,0] exactly what he got when chosing b=[1,5,6]
I am learning Linear Algebra from you. I am very much grateful to you for having shared these great lectures to the world, and giving other self-learners in the world opportunities of learning from the best.
"...giving other self-learners in the world opportunities of learning from the best."
True enough. Of course, it would also be nice if they would release a few more lecture series from other subjects. I'm spoiled now... it is so frustrating walking into a course without already knowing it forward and back.
1) If its only 10000 times faster thats a sad computer!!!
2) A computer can multiply and exponentiate things that would take humans years to do but we still teach multiplication to kids?
3) Concepts like this are fundamental if you actually DO write programs for computing solutions or largest eigenvalues of very large matrices. (on the order of 10^6 by 10^6 or greater, well in those cases you need a lot more tricks but the principle is the same)
Yeah dude but when it comes to hundreds of rows and columns matrices your not gonna bust your ass solving things like that, your bosses won't wait for you to solve things in a matter of days ! they'll fire you ! THEY'LL SWEEP YOU OUT !
yeah but who do you think comes up with the programs that solve this stuff in a split second? even though solving a matrix may be an exercise in futility nowadays, it is still vital to know how to do it.
I didn't say it was useless to learn how to solve matrices or know what an eigen vector is
I know those things well you have to know you can apply eigen vector to tensors or moments of inertia. The examples depicted here in this video can be easily solved by any muthafucka but you HAVE to know how use a computer
Good, I like that you share this video Solving Ax = b: Row Reduced Form R., I wish success always
AntoMelta 2 weeks ago
Nice Video Solving Ax = b: Row Reduced Form R That You Share , So Very Nice Thanks You
willamricard 2 weeks ago
I Really Like The Video Solving Ax = b: Row Reduced Form R. From Your
imegatrone 2 weeks ago
Your Video Is Very Useful Sharing olving Ax = b: Row Reduced Form R.
bundawartini 2 weeks ago
24:05 "...it's been SHIFTED..." LMAO. Prof. S. must have been thinking, "How can I have made such dumb mistake (23:57 '...it's a subspace...')"
dagarciawmedu 1 month ago
hmz bin so lieb
TaliaRebecasj604 1 month ago
He's brilliant. But observe, most mathematicians have poor handwriting.
agapitoflores001 2 months ago
@agapitoflores001 poor? you should see the doctors
LnX53 2 weeks ago
thanks professor strang
akhil089 3 months ago in playlist b.linear algebra
So I have to draw a 4-D picture on this MIT cheap balckboard - Einstein could do it..:D
hypnoticpoisons 6 months ago 7
very useful !!!!!!!!
asam175 9 months ago
how did he find that b = [1 , 5 , 6] at 06:03.. is there a systematic way to do it ? or just guess?
blackrobe2007 9 months ago
@blackrobe2007
IM not 100% sure but my prof usually did things like this. He just used values that fit the condition so he could proceed.
mphmm 9 months ago
@mphmm that sucks...how are we supposed to get those..by guessing?
blackrobe2007 9 months ago
HelloIAmDaniel 8 months ago
@blackrobe2007 same issue here, he seems to just throw some stuff, without proper proof :s
pedroissler 8 months ago
@pedroissler
read my comment below, I said where get got it from
HelloIAmDaniel 7 months ago
nice proof better than my maths prof
okonkwo289 10 months ago
I want to use that fat chalk on that big blackboard ;P
buzzingbear 10 months ago
If I were a student in that class, at the end of class I would always thank him after he says "Thanks!"
buzzingbear 10 months ago
It's so weird these videos are from 1999..
I was in elementary school learning the multiplication table in 1999.. and now I'm using these lectures to help my pass my University midterms.. woah
LukieRawr 11 months ago
Thank you Prof. You r Cool !
sarocampisi 1 year ago
24:03 "it's like a subspace, but it's been SHIFTED!!!!"
lolwtf?
SuperTuringMachine 1 year ago 2
This has been flagged as spam show
HELP! I think Strang might have got WRONG around 05:40. I think P U L is a SUBSPACE of P as P & L itself is a subspace of P.
Think like this: let p & l be a vector from P & L respectively. than u=p+l belongs to
P U L and u lies within P as p is within P and l is also within P.
Also c*p & c*l belongs to P & L respectively where c is scalar as P&L are subspace. so c*u=(c*p + c*l) belongs to P U L.
Finally, zero vector lies in both P & L. so Zero vectors belongs to P U L.
So P U L is subspace.
subash3 1 year ago
This has been flagged as spam show
HELP! I think Strang might have got WRONG around 05:40. I think P U L is a SUBSPACE of P as P & L itself is a subspace of P.
Think like this: let p & l be a vector from P & L respectively. than u=p+l belongs to
P U L and u lies within P as p is within P and l is also within P.
Also c*p & c*l belongs to P & L respectively where c is scalar as P&L are subspace. so c*u=(c*p + c*l) belongs to P U L.
Finally, zero vector lies in both P & L. so Zero vectors belongs to P U L.
So P U L is subspace.
subash3 1 year ago
what im I saying!! Its not a sub space! Its bean shiftet!!
he totally twitches when he says it. its great :D
great teacher by the way :)
ChristenGC 1 year ago
Comment removed
ChristenGC 1 year ago
21:37 MIT should totally build a 4d blackboard
roombaba 1 year ago 4
"We need an example here..Let me create an example", He totally doesn't need the text book. aha
eroicawu 1 year ago
it was really funny when he saw his mistake :D:D
rordulu 2 years ago
lol 24:03 - 24:06
but it's been SHIFTEDAGREAG
deathbystarship 2 years ago 4
his zeros look like 3eros
IamJacksColon4 2 years ago
Great lecturer, mediocre author.
ebsanu 2 years ago
Thank you MIT and Prof. Gilbert Strang.
I am learning Linear Algebra from you. I am very much grateful to you for having shared these great lectures to the world, and giving other self-learners in the world opportunities of learning from the best.
Thank you very much!
MrSystemVI 2 years ago 40
"...giving other self-learners in the world opportunities of learning from the best."
True enough. Of course, it would also be nice if they would release a few more lecture series from other subjects. I'm spoiled now... it is so frustrating walking into a course without already knowing it forward and back.
;)
AutodidacticPhd 2 years ago 2
True enough, I would love some lectures in econometrics.
Manolis090 1 year ago
Lol wow... nosojdjos what a great comment.
1) If its only 10000 times faster thats a sad computer!!!
2) A computer can multiply and exponentiate things that would take humans years to do but we still teach multiplication to kids?
3) Concepts like this are fundamental if you actually DO write programs for computing solutions or largest eigenvalues of very large matrices. (on the order of 10^6 by 10^6 or greater, well in those cases you need a lot more tricks but the principle is the same)
Mathematics215 2 years ago 2
Well, this is a lecture to people who have no idea what a vector, Matrix or Eigenvalue is!
They have to learn first before using the PC to solve problems.
If not, it is GIGO!
JimmyTheGreek2000 2 years ago
This has been flagged as spam show
The computer solves that shit 10000 times faster than a human
nosojdjos 2 years ago
It is human to make an error.
It takes a computer to screw things!
JimmyTheGreek2000 2 years ago 9
This has been flagged as spam show
Yeah dude but when it comes to hundreds of rows and columns matrices your not gonna bust your ass solving things like that, your bosses won't wait for you to solve things in a matter of days ! they'll fire you ! THEY'LL SWEEP YOU OUT !
time + money = gold
nosojdjos 2 years ago
yeah but who do you think comes up with the programs that solve this stuff in a split second? even though solving a matrix may be an exercise in futility nowadays, it is still vital to know how to do it.
urimv 2 years ago 3
This has been flagged as spam show
I didn't say it was useless to learn how to solve matrices or know what an eigen vector is
I know those things well you have to know you can apply eigen vector to tensors or moments of inertia. The examples depicted here in this video can be easily solved by any muthafucka but you HAVE to know how use a computer
nosojdjos 2 years ago