Відео

3:44 , i did not understand where this s came from.

i dont understand where did you get the values of s from?

Thank you! Helped me a lot

Hello .you made a mistake on 3:26 in the last entry of the matrix.

How a1=-s is it not equal to s?

my hero

Thank you, this helped me understand what I was doing better. Your explanation around 6:00 where you give generic formulas for where to look at limits and left or right curves is very helpful.

You are a life saver

I think there is a mistake in 6:40, these vectors should be lin independent. Great series tho, thanks for your work.

Thank you

Thanks for the explanation ! Really helpful to first write what it even means for a vector to be in a sum or an intersection. I kept accidentally doing the basis of a sum for an intersection instead of understanding correctly what it means

Eisai leventissa

So is basis u1 u2 v1 v2?

Thanks

thanks

Thank you a lot

How u can write the eqution plz guid about derivation

How we can find intersection

wonderfully explained ma'am

3:09

Just a tip those who are going through this In U+V we can't straight away write the individual basis, because who knows if those two share something common , even if it's not entirely same and in linear combination still that is redundant , that's why all these process. So we try to reduce that system by RREorm What I wanted to say is while reducing the answer might carry if we write span{v1, v2, w1, w2} instead of span{v1, w1, v2, w2} then you will see w2 interns of v1, w1, v2. Edit : this is in fact same mechanism when we try to find coordinate of (x, y) w. R. T. Some basis. We write basis in columns and along side apply the same row operations to the entry of given vector.

QUEEN

Why a1 is equal to -S?

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Good morning. I would like to ask if the topic Row Equivalence is the same with this topic? I am going to report the Row Equivalence in our class. Please help me. Thank you so much.

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Can you link the worksheet pdfs for your LCQR videos?

100th sub and congrats

at 1:01, should be -8, not 8 (for those who may be confused)

0:24 girlsofyourcity.online

0:40 girlsofyourcity.online

At 5:08, the "Notice:" of the second section is different from the one in the official version of the notes linked on Omnivox. Specifically: In this video (as seen on 27th Oct., 2020): "A linear system has a unique solution if and only if the reduced *coefficient* matrix has the same number of leading entries as variables (of the linear system)." In official notes (last updated 20th Aug., 2020): "A linear system has a unique solution if and only if the reduced *augmented* matrix has the same number of leading entries as variables (of the linear system)."

Nice content, keep up the good work. This deserves more views, I would recommend using smzeus . c o m to promote your videos.

owo

In plane Euclidean geometry, a rhombus is a quadrilateral whose four sides all have the same length.

I subscribed!

Amazing!

Splendid!

Quite

Fantastic!

Crystal clear!

Superb!

thank you!

thank you!

thank you! this was nicely explained

the justifications were super easy to get, thank you!

Superb!

Fantastic!

Good video quality!

Very clear! Thank you