Eigenvalues of a 3x3 matrix | Alternate coordinate systems (bases) | Linear Algebra | Khan Academy

preview_player
Показать описание

Determining the eigenvalues of a 3x3 matrix

Missed the previous lesson?

Linear Algebra on Khan Academy: Have you ever wondered what the difference is between speed and velocity? Ever try to visualize in four dimensions or six or seven? Linear algebra describes things in two dimensions, but many of the concepts can be extended into three, four or more. Linear algebra implies two dimensional reasoning, however, the concepts covered in linear algebra provide the basis for multi-dimensional representations of mathematical reasoning. Matrices, vectors, vector spaces, transformations, eigenvectors/values all help us to visualize and understand multi dimensional concepts. This is an advanced course normally taken by science or engineering majors after taking at least two semesters of calculus (although calculus really isn't a prereq) so don't confuse this with regular high school algebra.

About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.

For free. For everyone. Forever. #YouCanLearnAnything

Рекомендации по теме
Комментарии
Автор

Not only did I learn how to find Eigenvalues, I also learned how to factor a cubic function! Thank you so much for all the good videos Sal, they help me out a lot!

kamam
Автор

since this video was created in 2009, indeed the explanation is beautiful, easy to be recalled even after 11 years.

mohemmedansari
Автор

I've always learned as "A - lambda times I", so all you do is substract a lambda in each of the matrix diagonal.

samus
Автор

Ive spent a good 3 hours on a question trying to calculate eigenvalues and then I found this video and worked it out straight away! Thumbs up and thank you

mrlevylev
Автор

Sal, can you PLEASE make a multi variable calc playlist? And thank you so much for everything! I think it's hard to comprehend the help you are giving us all!

KraussHelmut
Автор

First of all, thank you for the great tutorial. Though, I prefer (A- lamda l) but offcourse both work. I suggest everyone to use horner's method to reduce the equation. Way faster and in my opinion easier ;).

Unknwn
Автор

My teacher just taught us (a-lambaI) and now I'm confused.

justinballew
Автор

I'm so glad this video is online, I'm currently taking a class on Quantum Mechanics (and I'm only 17), and the matrix algebra is incredibly complex, so this made it easier to understand...

MaruTheGreat
Автор

Why couldn't Patrick jmt make a video on this :(

Hamzrs
Автор

so.. much... writing... but still clearer than my prof. thanks man!

halorulesyourface
Автор

yeah i also think its det(A-lambda), all my uni text books say that for finding eigenvalues and also later on when diagonlising matrices

ChippyBlack
Автор

If you use the row echelon for of Ix-A to make the second row and the first column zero, then you can easily factorize x-3. The way in this video may not work if the solutions are not integers (so we cant guess the roots).

MyAfricanCats
Автор

12:07 I just came over from professor Dave's video on this. Really helpful

Memelord_
Автор

@TerminatorSe7en You can do it either way; given that you derive the equation from the definition of an eigenvalue, where A(v)=lambda(v), lambda(v) - A(v) = 0, but also, A(v) - lambda(v) = 0. So, you can use either det(A-lambda In), or det(lambda In - A), they're effectively the same thing.

petecdun
Автор

Even in the year 2021, Sal Khan is still a lifesaver.

williamwright
Автор


No he is right, I thought the same thing but when he circled the +lambda^2 term it looked like it was negative but it wasnt

AlexKrippner
Автор

thnks for your helps it makes me feel good and iam happy now after i have watched this vedio . please make it more for benefit

guube
Автор

This guy is good. He proves that Math is not a secret society .

Автор

WOW! I missed it too. Everyone ignore this comment like the original commentor said to. We all thought it said minus lambda^2 but it actually is "+ lambda^2"

jralocalsonly
Автор

You are my hero!

Also:
12:39
That's what she said!

Cipher