109 Linear Algebra True or False Questions that Guarantee you ACE YOUR FINAL!

preview_player
Показать описание
We answer 109 Linear Algebra true or false questions.

Click this link for the questions.

For more Linear Algebra Videos

SMASH the like button for good luck on the final exam!

00:39 Chapter 1 - Linear Equations in Linear Algebra

17:10 Chapter 2 - Matrix Algebra

25:45 Chapter 3 - Determinants

34:40 Chapter 4 - Vector Spaces

46:50 Chapter 5 - Eigenvalues and Eigenvectors

1:01:48 Chapter 6 - Orthogonality and Least Squares
Рекомендации по теме
Комментарии
Автор

MISTAKES:
Q23 should be False. For example v1 is the zero vector and v2, v3 are any two orthogonal non zero vectors.

Good luck studying for you Linear Algebra Final!
Check out my Linear Algebra playlist for more practice problems!

DrWeselcouch
Автор

This is going to be insanely helpful! I will recommend my former students to watch this since I don't teach linear algebra myself and haven't done it for over a decade. I will also watch it to review it for myself. Thank you!

blackpenredpen
Автор

Omgggg, how did you do 109 linear algebra true false questions in less than 75 mins 😂😂😂 I did 111 in more than 4 hours 😂😂😂

drpeyam
Автор

This going to help students at UW-Madison because our mid-terms only consist of 10 T/F questions.

neilbhutada
Автор

This is great! I’m sure that this will go viral, and I would love to see this for Calculus too! Keep up the great videos! :)

jaxrevfi
Автор

Nice video. I'd prefer if there was a slightly longer pause between asking the questions and showing the answer, even a second longer, so I have time to pause and consider it before you reveal the solution.

battlemode
Автор

Q23 in my opinion should be False, for example v1 is the zero vector and v2, v3 are any two orthogonal non zero vectors.

mathematicalpoetry
Автор

Really appreciate all the hard work you're putting in!! Really helpful stuff!

jakekatsikas
Автор

Q62. The statement is true if A is in echelon form. It is not only true if A is in echelon form; consider A = [1, 0; 1, 1].

owen
Автор

Thank you, we will have 20 true false and 20 mcq in this final exam 😁 happy new year

tho_norlha
Автор

i have a question on #56, isn't the 2nd column in the example linearly dependent to the first column?

daray
Автор

Question three is confusing, because what if the field is not infinite, such as field Z7?

CuteLittleHen
Автор

I have a question on 82nd question, on 56:09, so what if our matrix is an orthogonal matrix, then A^T would be equal to A^-1, and the eigenvalues of A^-1 is 1/ λ. So wouldn't our eigenvalues change in this case ?

eminbaybarstimurstudent
Автор

Could we get a calculus video that's just like this one please🙏🙏🙏🙏😭

sakhiwosekunqobadlamini
Автор

Q23 is wrong, right?
v1 could be 0, v2 wouldn't be a multiple of v1, you can take v3 linearly independent of v2, and {v1, v2, v3} wouldn't be linearly independent?

Aeldrion
Автор

Thank you professor. I have a wonder about the question 12. You say that this would be true if A had a pivot position in every column. Do you mean every column as well as row? Because for example A = [1, 0; 0, 1; 0, 0] has a pivot in every column but b = (0, 0, 1) (a vector in R^3) has no solution, yes? Or is the question saying, if there is a solution, it must be unique?

balasavenedintulashabalbeoriwe
Автор

Very very very very very very very nicely 😀😀😀😀🥰

aashsyed
Автор

Thank you so much! This is a very helpful resource

yashmane
Автор

I think question 103 is wrong by definition, need c1, c2 to be non-zero

JMac___
Автор

using this an hour before my final, legendary stuff here

jollux