wow, these last couple of videos of the playlist help make a complete comprehensive overview of the ideas need to learn tensor algebra and tensor calculus. This is a must watch for any General Relativity student
i know Im randomly asking but does anyone know a method to log back into an Instagram account..? I stupidly lost my account password. I appreciate any help you can offer me.
@Finnegan Dylan i really appreciate your reply. I found the site through google and I'm trying it out atm. Looks like it's gonna take a while so I will reply here later with my results.
0:27 A Basis 1:31 Check Linear Combination 2:26 Span 2:52 Satisfying Linear Independence 3:21 A more complicated example (R 2x2) 3:54 Span check 4:23 Distribute the Scalars. Add up the new matrix. 4:45 Make sure a solution exists 5:43 Check Linear Independence 6:57 Row Echelon Form: - No Free Variables - All Scalars must be = 0 7:34 Both conditions verified ✔️ Basis With N Elements= Dimension N 9:05 Check Comprehension
I have a sweet information When n (number of columns) is not equal to m (number of rows) then the set is always not a basis (if the question ask if a specific set of vectors is a basis or not) but when n = m, then you have two possibilities depending on the det(A), in other words: det(A) is equal to 0 ==> the set is not a basis det(A) isn't equal to 0 ==> the set is a basis
The way you explain is wonderful. I'm glad I found you. I was breaking my head with these concepts, now it's all clear. Thanks a million for making it EASY. :) God bless.
Your videos are great, very easy to understand, clear voice and good visuals . The only recommendation that I'd give you is to show the process of the comprehension check problems. Keep up the good work
Basis vectors/Matrices seemed so far out of reach even after trying to understand them for a couple of weeks but after this video, which make them seem easy, I think I finally understand them. Thanks Dave! :))
The reduced row echelon form isn't finished yet at 7:22, you can still do R3+R4, R2-R4 and after that R1-R3 which doesn't require you to solve the remaining set of equations.
Two reasons: 1. They don't know how to teach and don't have a firm grasp of the subject themselves. 2. They want to confuse you so that fewer people have mastery of the knowledge. The less you know, the more they know, and people with big egos want to have "specialized" knowledge that is not accessible to others. Write a book nobody understands, and claim yourself a genius.
Yes. A nonzero determinant of the matrix of column vectors immediately indicates a basis. www.yorksj.ac.uk/media/content-assets/study-skills/maths-and-statistics/linear-algebra/Finding-a-Basis-Quickguide.pdf
Thanks a lot for sharing your knowledge. Your explanation is good. It would have been better if you have included explanation of the question and answers also.
For R 2X2 matix, can't we just say that the matices are linearly independent as their determinant is not equal to zero. We created the matrix 4X4 which is a square matrix and its determinant is 1, so it satisfies that they are linearly independent.!!!
1. The dimension of the matrix is 2. In the matrix , the entry in the third row and second column is _____. 3. For what values of and , the two matrices are equal?______ 4. Write a diagonal matrix of order two, such that the entries on the diagonal zero._______ 5. Given the following matrices and , then compute a) b) c) d) e) f) 6. Find the products of a row matrix and the column matrix ; that is and YX. 7. A manufacturer produces three products: A, B, and C, which he can sell in two markets. Annual sales volume is indicted as follows. Product A B C Market I 10,000 units 2,000 units 80,000 units Market II 6,000 units 20,000 units 8,000 units a) If unit sales of A, B, and C are 2.50 Birr, 1.25 Birr, and 1.50 Birr, respectively, find the total revenue as a product of matrices in each market. b) If unit sales of A, B, and C are 1.80 Birr, 1.20 Birr, and 0.80 Birr, respectively, find the gross profit as a product of matrices in each market pleas do you make this
If they are linearly independent, it means there are no linear combinations among the vectors. So, how can a basis have two conditions where (1) they are linearly independent and (2) they span the vector space V (by a linear combination of the vectors), don't the conditions contradict each other? Please clarify, and let me know if I'm missing something here.
Dude ! Linearly independent does not mean that they will have no linear combination its actually satisfies that they can have linear combination coz we check that the vectors are not dependant so that we can have all the possible linear combination!
Linear combination and linear dependent is two different things. Whether given two vector elements within the vector space are linearly dependent or not has to do nothing with the linear combination. Any set of vector elements can be written as linear combination (with respect to their coefficients)
Linear independent vectors means we cant take linear combination of them...on the other hand span is all the linear combination of those vectors. Basis is the vectors will be linearly independent + they will span. I am confused...how these 2 can be true at the same time?
also, can you confirm that there is no point in ever checking both conditions for basis, i.e., condition 1: spanning, condition 2: linearly independent? if you know it spans and number of vectors > number of dimensions, it can't be a basis. if you know it spans and number of vectors = number of dimensions, it MUST be a basis. if you know number of vectors < number of dimensions, it can't span? you might as well just manually look, saves you work
Found this comment 6 months later and now i know the answer if we multiply both sides of an equation it will still remain the same equation and is valid here the other side of the equation(right of =) is 0 and 0 multiplied by anything gives 0 so we dont include it
Can somebody please help me? In the previous video where we had to check whether a matrix is linear independent or not by row operation, we didn't get all 1's in the main diagonal. But in this video why do I have to get all one's in the main diagonal?
Dude... Every 5 seconds you pause for like 3 seconds.... then we all get to hear you take a deep breath and talk for 5 more seconds, then pause again. You need to just relax and talk like you are in a conversation.
wow, these last couple of videos of the playlist help make a complete comprehensive overview of the ideas need to learn tensor algebra and tensor calculus. This is a must watch for any General Relativity student
One day, I'll pay all the great tutors on RUclips back.
i know Im randomly asking but does anyone know a method to log back into an Instagram account..?
I stupidly lost my account password. I appreciate any help you can offer me.
@Barrett Jamie Instablaster :)
@Finnegan Dylan i really appreciate your reply. I found the site through google and I'm trying it out atm.
Looks like it's gonna take a while so I will reply here later with my results.
@Finnegan Dylan It worked and I finally got access to my account again. I am so happy!
Thanks so much you saved my ass !
@Barrett Jamie Happy to help :)
0:27 A Basis
1:31 Check Linear Combination
2:26 Span
2:52 Satisfying Linear Independence
3:21 A more complicated example (R 2x2)
3:54 Span check
4:23 Distribute the Scalars. Add up the new matrix.
4:45 Make sure a solution exists
5:43 Check Linear Independence
6:57 Row Echelon Form:
- No Free Variables
- All Scalars must be = 0
7:34 Both conditions verified ✔️
Basis With N Elements= Dimension N
9:05 Check Comprehension
people like you are angels in human form !! thank you.
gangster
Nicee, thx for this
Wow wonderful
I have a sweet information
When n (number of columns) is not equal to m (number of rows) then the set is always not a basis (if the question ask if a specific set of vectors is a basis or not)
but when n = m, then you have two possibilities depending on the det(A), in other words:
det(A) is equal to 0 ==> the set is not a basis
det(A) isn't equal to 0 ==> the set is a basis
The way you explain is wonderful. I'm glad I found you. I was breaking my head with these concepts, now it's all clear. Thanks a million for making it EASY. :) God bless.
I love your content. Why don't you have a million subs yet man!?
tell your friends and help me get there!
@@ProfessorDaveExplains I'm already on it, Dave.
@@ProfessorDaveExplains This aged well.
@@ProfessorDaveExplains well, look where you are!!
btw, is there a way I can get hold of your presentation 'ppt'?
3 now lol
Your videos are great, very easy to understand, clear voice and good visuals . The only recommendation that I'd give you is to show the process of the comprehension check problems. Keep up the good work
Professor Dave has really helped me and still helping me
you saved my life, linear algebra wanted me not to graduate
how are you doing now bud ?
I wanna know too @@Chad-be3jm
Basis vectors/Matrices seemed so far out of reach even after trying to understand them for a couple of weeks but after this video, which make them seem easy, I think I finally understand them. Thanks Dave! :))
Wow u are an awesome tutor. I easily learned the topics in 1 hour instead of 24 hours of nonsense thank u so much😊😊😊😊
Wow! Thank you so much! Your videos are so simple, easy to understand, and concise! Thank you!
I literally understood something that my professor has been explaining for two weeks in just 10 minutes. Thanks!
Thanks You so much Prof Dave, You really save me from failing this course
Dave single handedly educated half a million people in 10 minutes
Thank you for explaining this topic so clearly. 💕
YOU ARE AMAZING! YOU NEED TO HAVE MORE SUBS!!
The reduced row echelon form isn't finished yet at 7:22, you can still do R3+R4, R2-R4 and after that R1-R3 which doesn't require you to solve the remaining set of equations.
You don't need to since you can see c4 is equal to zero which would then make the rest zero.
Correct
Thank You! Can't wait for a video about a uniform space and tensors; I repent, I never truly understood them.
very clear explanation and examples,thank you !
why do professors make everything seem harder...?
I wish I knew....
They feel like they have to fill up the lecture time that was assigned and they end up stretching the material out in a complex way to fill the time
It's about Talent and the different criteria, some have the knowledge but they haven't the capability to deliver this knowledge.
@@gemy6188 In India we could also talk about lack of knowledge and poor delivery skills
Two reasons: 1. They don't know how to teach and don't have a firm grasp of the subject themselves. 2. They want to confuse you so that fewer people have mastery of the knowledge. The less you know, the more they know, and people with big egos want to have "specialized" knowledge that is not accessible to others. Write a book nobody understands, and claim yourself a genius.
this guy is actually the goat
Great video. Very clear. With gratitude from india
Your video is amazing! I finally understand this point. Thank you so much!
Please send reference books, websites that you use... That would be helpful.
Thank you for explaining this so straight forward and to the point.
5:05 since you’re taking the determinate of the square matrix and it’s a none zero number, isn’t also linearly independent too?
that was what i was thinking too :)
Yes. A nonzero determinant of the matrix of column vectors immediately indicates a basis.
www.yorksj.ac.uk/media/content-assets/study-skills/maths-and-statistics/linear-algebra/Finding-a-Basis-Quickguide.pdf
sir, you're a hero, jesus christ you have no idea how doomed i'd be without this video right now
I never imagined that I would ever understand linear algebra. Thanks bro
Thanks a lot for sharing your knowledge. Your explanation is good. It would have been better if you have included explanation of the question and answers also.
I already gave a like as soon as I saw the intro
YOU ARE SAVING MINE AND MY ROMMAMTES FUTURES THX
Really confused for 2 days Thanks prof. Dave
these r so helpful and great !! helping me survive thru college 😄😁
This was incredible and clear bro!!!
Very easy to understand..Thanks for the video🙏
Thanks for teaching me Newton's Laws!
~We love your work
at 4:11, how does it span the vector space? What if I want the vector [1 2; 2 0]. How would you get that using the given vectors?
I think the first 3 vectors is because for a R2, one need only 2 vectors for creating a base for R2. Plus, 3,2 could be 2 times the 1,0. Right?
Yeah, the could be built using 2 x + 1 x
tysm!!!!!! you saved my life!!
Thanks Professor Dave! ❤
Wonderful theme
For R 2X2 matix, can't we just say that the matices are linearly independent as their determinant is not equal to zero.
We created the matrix 4X4 which is a square matrix and its determinant is 1, so it satisfies that they are linearly independent.!!!
I thought the same thing, but idk
why didnt u use the other possible diagonal as the last element at 3:52
1. The dimension of the matrix is
2. In the matrix , the entry in the third row and second column is _____.
3. For what values of and , the two matrices are equal?______
4. Write a diagonal matrix of order two, such that the entries on the diagonal zero._______
5. Given the following matrices and , then compute
a) b) c) d) e) f)
6. Find the products of a row matrix and the column matrix ; that is and YX.
7. A manufacturer produces three products: A, B, and C, which he can sell in two markets. Annual sales volume is indicted as follows.
Product A B C
Market I 10,000 units 2,000 units 80,000 units
Market II 6,000 units 20,000 units 8,000 units
a) If unit sales of A, B, and C are 2.50 Birr, 1.25 Birr, and 1.50 Birr, respectively, find the total revenue as a product of matrices in each market.
b) If unit sales of A, B, and C are 1.80 Birr, 1.20 Birr, and 0.80 Birr, respectively, find the gross profit as a product of matrices in each market
pleas do you make this
Sir can we find the null space of set of vectors from M2x2 like we do for vectors in R^n
but the main question is-why the canonical basis is indexed by natural numbers?And can we describe canonaical basis in terms of matrices?
Superb 😃😃
Do free variables effect whether or not the basi can be linearly independent?
For the first question in the comprehension part, 0 is the determinant, so that should be linearly dependent right?
Independent
|A|=0 =linearly independent
@@eduardomoreira7624 This is not true. A determinant of 0 means that the columns of the matrix are linearly dependent.
If they are linearly independent, it means there are no linear combinations among the vectors. So, how can a basis have two conditions where (1) they are linearly independent and (2) they span the vector space V (by a linear combination of the vectors), don't the conditions contradict each other? Please clarify, and let me know if I'm missing something here.
Dude ! Linearly independent does not mean that they will have no linear combination its actually satisfies that they can have linear combination coz we check that the vectors are not dependant so that we can have all the possible linear combination!
Linear combination and linear dependent is two different things. Whether given two vector elements within the vector space are linearly dependent or not has to do nothing with the linear combination. Any set of vector elements can be written as linear combination (with respect to their coefficients)
How can you have more than a dimension of 3 in a 3D space? Wouldnt any more vectors are just repetitive and therefore be linearly dependent?
Mathematics isn't limited to the three spatial dimensions we are familiar with, it can utilize many more. We just are incapable of visualizing it.
Thanks
Really very good contain 🙏🏽
At 5:26 how is the determinant 1? Cause multiplying the 4 brackets above from the formula (ad-bc) gets: 0, 0, 1, then the last one is 0-1 which is -1
doesnt matter regardless, if the det isnt equal to 0 we can proceed
really great video prof.Dave! #bakasenpai
Good expression , thanks 🇹🇷
Professor, vector space with the only vector "zero vector" has dimension 1. 8:23
Nope, it has dim 0 or none
Since the basis of zero vector is empty set , its dimension is 0
Linear independent vectors means we cant take linear combination of them...on the other hand span is all the linear combination of those vectors. Basis is the vectors will be linearly independent + they will span. I am confused...how these 2 can be true at the same time?
Doesn't the det of matrix being 1 (not 0) means its elements are linearly independent (so we don't need to form row echelon form)
I agree with this.
also, can you confirm that there is no point in ever checking both conditions for basis, i.e., condition 1: spanning, condition 2: linearly independent?
if you know it spans and number of vectors > number of dimensions, it can't be a basis.
if you know it spans and number of vectors = number of dimensions, it MUST be a basis.
if you know number of vectors < number of dimensions, it can't span?
you might as well just manually look, saves you work
What if such cases when determinant is zero yet it has infinitely many solutions?
Can we expect a subspace who span vector space but vectors (elements ) in that subspace are linearly dependent?
so good
thank you
Hello, I have some delightful news that will brighten your day!
2 v + 3 w.. In this v and w are vectors and these are basis as well?
what if instead of all leading ones we had a leading 2 in some position. thats okay right ?. since its not Reduced row echelon form
How to apply curl to higher dimensional vector field
6:36
how can we multiply R3 by -1
wont it change the equation??
Found this comment 6 months later and now i know the answer
if we multiply both sides of an equation it will still remain the same equation and is valid
here the other side of the equation(right of =) is 0 and 0 multiplied by anything gives 0 so we dont include it
But Im not getting the determinant value as 1 in example 2 while checking for spaning 5.23 ...
Can somebody please help.... please...
superb ....
Thx
thanks a lot!
Can somebody please help me? In the previous video where we had to check whether a matrix is linear independent or not by row operation, we didn't get all 1's in the main diagonal. But in this video why do I have to get all one's in the main diagonal?
works either way, i think
because all we aim is to reduce the variables
This is a godsend. Ya boy thought he was fucked for midterm
Isnt the set of vectors rank 4 ? How can a rank 4 span R2
in the comprehension, how the first one is not linearly independent ?
He unlocked the 4th dimension 👀
cool haircut and nice video .
4:54
thank you, can you give me a vector space with infinite dimensions?
why is the first one not a basis in the comprehension
Your explanation is good but you didnt explain the type of questions in the check comprehension
Can anyone provide me solution of last 2 questions?
thank you linear algebra jesus.
why aren't u my college professor 😭
Move words passing through a video when you are explaining
Save my life
What happend to your hair prof ?
Stop watching anime brother.
We must fight the MPLA.
(Matrices Projections Linear Algebra)
in french: span is engendré!!!
Pls help me?
Sir ua so handsome
I miss the jesus version 😂😂
🤣🤣🤣🤣
Sahh dude
😮
1st to comment!
There is god and he is an American
I am disappointed...I sent you an email two weeks ago. No response from you yet.
Dude... Every 5 seconds you pause for like 3 seconds.... then we all get to hear you take a deep breath and talk for 5 more seconds, then pause again. You need to just relax and talk like you are in a conversation.
No. The pacing is deliberate for those who need time to process what's on the screen. Teaching math is not a conversation.
The pacing is all good to me
@@ProfessorDaveExplains yes you are right sir