Transformation matrix with respect to a basis | Linear Algebra | Khan Academy

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Finding the transformation matrix with respect to a non-standard basis

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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.

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Thanks, but I would really start with an example and show how the idea fits before explaining the theory behind it, I lost it about half way through this video

Ch
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Excellent video. In short - to apply a transformation on a non-standard basis, you first move to the standard basis (C), then do the transformation (A), then move again to the non-standard basis (C-1).

RealMcDudu
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I can't describe how awesomely helpful these videos are. A great supplement to taking a class, or reading a book on your own. I couldn't have made it through without your help on these. You rock!

amberegbert
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Now this explained what I've been confused about for this whole semester! Thanks :)

sungboklee
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Thank you for maintaining as much abstraction as possible. Theoretical Linear Algebra courses are taught from this perspective, so it's very refreshing to see instruction without computation.

Jeff-wcho
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I couldn't believe there's such an understandable explanation after reading an extremely tedious textbook authored by a pretentious man...You explained it so well!

yuchujian
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Just so y’all know not everyone understands this way of teaching so can u add at least add 1-3 good examples with actual numbers after each short lesson then you’ll be able to hit a larger amount of ppl. Cuz this didn’t help me whatsoever. definitely a waste of time for me

TheDrunkMexicano
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Is it just me that I can't watch his video at regular speed? I always have it at 1.25x or higher.

kkevinparkk
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The best thing I found on internet today.... Thanks... For making.. It...

anweshkumar
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u directly come on topic I thing u going to start with basic

samirpatil
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Thanks Sal. I might have to start watching your videos first, before attending my real class lectures or reading the book material. Would save me a lot of time on trying to "connect the dots" which class lectures and my textbook typically do a poor job of doing.

PrUnEJuIcEtHeThIrD
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Cleared all my doubts. Nice explaination👍

abhinaygupta
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If [T(x)]B = [Ax]B = [x]B, then how does [T(x)]B = D[x]B at the top where you have it written in the second domain circle. That would mean [x]B = D[x]B which doesn't make any sense. Also I just realized you basically wrote this:

D[x]B = [T(x)]B = [Ax]B = [x]B therefore you are saying D[x]B = [x]B which doesn't make sense.

Rockyzach
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Can you please explain a video telling all the def like span, basis, eigen vectors, values

devarasettysaikrishnavamsh
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Absolutely brilliant. My concepts are rock solid now!

divyanshjain
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You explained this twice as well as my university lecturer in half the time. Thank you!!!

MCCMcom
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MAAN! I love you from all my heart at the moment! you save LIVES!

salehjamsaljames
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But what if we’re considering more general vector spaces where the vectors may not be elements of R^n?

arbitrarilyarbitrary
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I don't understand. Can a basis be thought of as where you are starting on the dimensional space? (As opposed to the origin assumed)

ryanjacksonx
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Wow, Great lesson.
Thank. really makes things straight

nivshbibi