Moa Dijkwel

14:41

will this review be recorded and posted??

emilyhighland

15:23

Can you do one like web assign 3.3b problem2?

Maddy Johnson

15:28

Rank, span, solutions, dependance from looking at a matrix

Bryson Passey

15:31

Can we go over Rank?

Delbert Ward

15:36

span

Braeden

15:40

the test stuff

Sarah Maia

15:42

relationship between vectors

Olivia Harrison

15:44

Problem 10, 2019 fall practice exam

Hunter Madsen

15:49

practice quiz problems 8,9,11

Cameron

15:50

Could you go over problem 11 on the practice test? It’s about rank and linear independence mostly

David Winn

15:56

Going over dependence with vectors and matrixs

Moa Dijkwel

16:00

Span, independence, trivial solution/non trivial solution

hjamias

16:03

Rank for sure, and how to find the inverse of a matrix larger than 2x2

Maddy Johnson

16:39

Properties of invertible matrices, and properties of transpose

Christopher Santos

16:48

I think he left

Ben Bohman

20:20

is this the only review?

Ammon Quackenbush

20:32

I'm pretty sure. The test opens tomorrow.

Moa Dijkwel

20:44

i think so

Jacob Christensen

20:45

I know that the TA for section 1 in Kempton's class is holding one

Moa Dijkwel

20:56

he’ll post this review tho

Jacob Christensen

21:00

It's from 7-9 and we're going over a review test.

Delbert Ward

21:10

Unless your teacher or ta is holding another one

Ben Bohman

23:10

So do we know what is being covered here?

Delbert Ward

24:29

Daniel said that it will be largely based on our questions

Ammon Quackenbush

34:00

https://learningsuite.byu.edu/plugins/Upload/fileDownload.php?fileId=f5b0525a-8wNv-eN8T-bAjE-Yfafea148ae1

Ammon Quackenbush

34:08

https://learningsuite.byu.edu/plugins/Upload/fileDownload.php?fileId=a588f67c-jh1L-f3qe-mSxa-z7589d2e0b68

Jenna Atkinson

35:24

Which of the following statements are always true? Mark all that apply.If A is n × n and invertible, then Ax = b has a unique solution for every b ∈ Rn.If A is n × n and invertible, then its columns span Rn.If A is m × n and n < m, then the columns of A are linearly independent.If A is m × n and n > m, then the columns of A are linearly dependent.If A is m × n and n > m, then the columns of A span Rm.If A is m × n and rank(A) = n, then A is invertible.

Hunter Madsen

36:05

I made a copy of the practice test. See if this link works

Hunter Madsen

36:06

https://drive.google.com/file/d/16ANIp0i5Y8LBZQYyK6FTIj7xcvPmBakF/view?usp=sharing

Ammon Quackenbush

36:27

we could also share our screens if we have a specific question

Ammon Quackenbush

36:45

on the practice test

Ben Bohman

42:51

Hey does anyone have the link to the other TA review in Prof. Kempton's class?

Jacob Christensen

43:15

https://byu.zoom.us/j/4044008726

Jacob Christensen

43:27

7-9ish

Jeremy Lakey

45:50

the red marks are true right?

Hunter Madsen

46:04

yeah

Jenna Atkinson

46:04

@Jeremy, yes

Sophie Gee

01:05:19

if you guys are looking for more of a visual representation of span and linear independence etc, i would recommend watching the youtube channel 3blue1brown’s series on linear algebra!!! its just a couple of videos and the animations are super helpful :)

Jacob Christensen

01:06:01

Thanks!

Cameron

01:11:01

^^dude facts. Those videos slap

Emma Ausman

01:13:59

We did this one in my class today. Row reducing it was the easiest way to do it

Samuel Hunter

01:22:12

dependent

Hunter Madsen

01:24:17

do only square matrices have inverses?

Shane LeBaron

01:25:17

can you use the determinant to show that a 3X3 matrix is not investable?

Shane LeBaron

01:25:56

Oh hahah ya that makes sense thanks!

Chloe Crawford

01:26:02

can we go through #4 on this same test?

Ammon Quackenbush

01:26:15

https://www.studypug.com/algebra-help/the-determinant-of-a-3-x-3-matrix-general-and-shortcut-method

Ammon Quackenbush

01:26:21

determinate of 3 x 3 matrix

Ammon Quackenbush

01:26:27

formula

Ammon Quackenbush

01:26:32

row reduction looks easier to me

Jacob Christensen

01:27:15

After Chloe's, can we do #2 on the 2019 test?

Nathan Riches

01:28:45

Are invertible matrices always linearly independent?

Kyle Ke

01:30:41

After Chloe and Jacob, could we do #18 on the winter test?

Sophie Gee

01:31:11

#18 on both tests will not be covered this semester

Sophie Gee

01:31:18

just good to know

Sarah Maia

01:31:19

we don't have to worry about span of matrices (not in my section at least)

Ammon Quackenbush

01:31:21

that's what I read on the website too

Dylan Skinner

01:31:46

we do not need to know span?

Ammon Quackenbush

01:31:47

Can we do problem 4 on the practice exam also?

Sarah Maia

01:31:59

span of vectors yes span of matrices no

Kyle Ke

01:32:05

ok ok

Ammon Quackenbush

01:32:18

never mind, we are going over #4 rn

Chloe Crawford

01:32:34

oh that is good to know

Josh Phelps

01:32:40

Were we going to 11 from this test too?

Joshua Katzenbach

01:40:56

do the two lines just mean magnitude?

Ammon Quackenbush

01:41:06

yes

Maddy Johnson

01:41:24

This one is helpful to draw vectors on a graph and draw the subtracted one to see it is false

Kyle Ke

01:50:05

has he gone over 12 already>

Kalia Reyes

01:51:03

Is there a way to look at a 3x3 matrix and determine whether it's invertible or not without row reducing?

Kyle Ke

01:55:57

Could you do 12 after please?

Hunter Madsen

02:13:16

Thanks for doing this review!

Camden

02:14:30

Thank you!

Dylan Skinner

02:14:31

Thank you! Good luck everyone!

Nathan Riches

02:14:32

Thank you!

Nathan Swihart

02:14:34

Thank you!