Computing Dimension of Null Space & Column Space

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The dimension of a subspace is the number of basis vectors. For the two canonical subspaces associated to any matrix - the Null Space and the Column Space - we repeat quickly the computation of basis vectors for them and thus are able to compute their dimensions.

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**Now it's your turn**
1) Summarize the big idea of this video in your own words
2) Write down anything you are unsure about to think about later
3) What questions for the future do you have? Where are we going with this content?
4) Can you come up with your own sample test problem on this material? Solve it!

Learning mathematics is best done by actually DOING mathematics. A video like this can only ever be a starting point. I might show you the basic ideas, definitions, formulas, and examples, but to truly master math means that you have to spend time - a lot of time! - sitting down and trying problems yourself, asking questions, and thinking about mathematics. So before you go on to the next video, pause and go THINK.

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This video was created by Dr. Trefor Bazett, an Assistant Professor, Educator at the University of Cincinnati.

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When you solve for x3 shouldn't you get x3 = -3x4 = -3t?

I think the 1 and -3 should be switched for the second basis vector t* (0, 0, 1, -3)

andrewfalcone
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Your single video is better than my professor's whole teaching career. Thank you very much. :)

YashTrivedi
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Mr. B, I just want to say that your Linear Algebra playlist has helped me really understand Linear Algebra. You break everything down into simple, understandable pieces, and then reassemble it all later, without disregarding the big picture of what it is we're doing. Thanks so much for putting in the time to make these videos! Best Linear Alegebra playlist, by far.

mr.dumpling
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wish i could be this excited when solving matrices

anonymous-wdyw
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why do you have so few followers?! So much better than my prof!!

cachah
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2:05 But there are m components in the basis vector ... So to represent them there should be M-dimensions right?

shreyasgosavi
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I am confused as to how something with infinite number of solutions be considered linearly independent

vikar