When I first read about the theorem in my textbook about polar decomposition my first thoughts were "is this really true? If you can write any matrix A as Q and S (let's use the same letters as in these videos), you can also write S as XDX^T and get A=QXDX^T which is just one rotation matrix multiplied by a diagonal matrix, multiplied by another rotation matrix. That can't be right. We can't express every linear transformation as rotating and reflecting, then scaling and then again rotating and reflecting, right?" So, my intuition was wrong then, this is apparently possible to do with every matrix, if I understood the videos correctly.
@MathTheBeautiful7 күн бұрын
Almost - the exception in the "defective" case
@jvmguy9 күн бұрын
I really like the way you teach this. I thought I knew linear algebra, but this takes things to another level.
@MathTheBeautiful8 күн бұрын
There's always another level!
@jonathanr325811 күн бұрын
idk why the quality on the lemma website is so bad. can't read much that you have written on the board.
@kingplunger603311 күн бұрын
This is not the end yet, is it ?
@aayushmehta852311 күн бұрын
Sir I abousulutly love your teaching may you always be well and teach maths to all of maths lover
@DivineScaleOfGod12 күн бұрын
I have two questions about surfaces. Is there a way to find the inverse of a surface? The other question is we have parametrization by arc lengh, but is there a way to define a parametrization by surface area?
@DivineScaleOfGod12 күн бұрын
Even though differentiation of functions having vectors as arguments is weird to think about you can still make an intuitive approach to it geometrically and see where the errors first occur.
@cardinalblues712113 күн бұрын
Thank you for your amazing videos.Speak of the rotation stuff, could you make a video details how the quarternions works. I have watched so many videos still could not fully understand the concepts .Thanks for your reply in advance
@escher440116 күн бұрын
When something is so universal like this I start to wonder if it can be somehow generalized to non-linear transformations like diffeomorphisms
@escher440116 күн бұрын
Can we restrict the form of A using this decomposition if we know that A is nil-potent with index 2?
@user-pl7ko4qk6t16 күн бұрын
At time 43:00 you write the equation for the surface MT (4 values) each of them as a function of the ambience MT (9 values). You make a contraction and now each value of the surface MT is expressed as a function of a PORTION of the ambience MT i.e. only 6 values because beta will never be = 3. Is it correct ?
@cardinalblues712117 күн бұрын
I saw the little messy 😂😂😂😂
@MathTheBeautiful16 күн бұрын
That was my goal
@cardinalblues712116 күн бұрын
@@MathTheBeautiful Sir, Do you plan to do a series on abstract algebra? And the text book on this series of linear algebra? Thank you for your amazing videos !
@holyshit92218 күн бұрын
At first look I wanted to calculate coefficients of Legendre polynomials but for numerical methods we don't need them We need nodes (roots) and weights which can be calculated from eigen problem with symmetric tridiagonal matrix b_{k,k+1} =b_{k+1,k}= k/sqrt((2k-1)(2k+1)) For nodes we need eigenvalues and for weights we need first entry of eigenvector corresponding with eigenvalue There is other method based on Newton's method and asymptotic approximations but i dont know the details Maybe video with code written from scratch
@AyushRaj-ut9mm19 күн бұрын
6:34
@YumekuiNeru22 күн бұрын
1:20 how do you prove that the two empty spaces are the same, like the size of the empty space does not change if you rearrange the pieces?
@MathTheBeautiful22 күн бұрын
I **assume** that it's true
@jonathangreene68523 күн бұрын
Yes this is exactly what I was looking for. You explained it great
@MathTheBeautiful20 күн бұрын
Glad it was helpful!
@blue_lobster_23 күн бұрын
than
@MathTheBeautiful20 күн бұрын
You're welcome!
@GT1987324 күн бұрын
I could be wrong but I think the dot product came from multiplication of quaternions. If you multiply 2 quaternions q1 and q2 (a good exercise; giving them generic components a bi cj dk etc.) you will find that many of the terms cancel, leaving you essentially with a dot product term and a cross product term. They can be thought of as symmetric and antisymmetric parts. The history of it began with quaternions first. Then people like Heavyside and Gibbs were proponents of extracting these parts of the quaternionic product into a dot product and cross product and the rest is history. It's an interesting period of history where even some of the greats struggled with quaternions and also with Maxwell's laws. There was a lot of organization and consolidation that took place, but by forgetting the history we expose ourselves to risk of a lot of confusion in the sea of vector calculus and namblas and hodge star duals, clifford algebras, etc etc.
@elements-2428 күн бұрын
Can I switch between row and column operation while calculating elementary matrix?
@MathTheBeautiful27 күн бұрын
Yes
@boutiquemaths28 күн бұрын
Sublime lecture. Such illuminating examples. 🪩 I also smiled and appreciated your dislike of ∈. I'm not against it (it's e for element at least) but it's true that I always feel a bit unnecessarily pompous when I use it.
@Fractured_Scholar29 күн бұрын
Why do you keep erasing the Tau term in favor or Pi? Do you not find Tau to be far more unifying?
@blue_lobster_Ай бұрын
thank you, amazing explanation, may God bless you
@vikraal6974Ай бұрын
This feels like a Charlie Chaplin movie after mic died.
@cardinalblues7121Ай бұрын
This is amazing, thank you so much for revealing the beauty of the mathematics. why not upload videos for Calc I. I am looking forward to your precious videos
@julijangrajfoner1730Ай бұрын
great explanation, thanks!
@cescllopisАй бұрын
ME,I THINK IT SHOULD READ <PARAMETRIZATION>.Cf. e.g. <THE OXFORD DICTIONARY OF MATHEMATICS>. ROLF NEVANLINNA HAS WRITEN A BOOK WITH THE TITLE <UNIFORMISIERUNG> [GERMAN] SPRINGER -VERLAG ,1967 2.EDITION.
@MathTheBeautifulАй бұрын
What's it about?
@cescllopisАй бұрын
ME,I THINK IT SHOULD READ <PARAMETRIZATION>. Cf. e.g. THE OXFORD DICTIONARY OF MATHEMATICS.
@MathTheBeautifulАй бұрын
Good to know
@harrisondorn7091Ай бұрын
I didn't realize math could be so beautiful! :)
@MathTheBeautifulАй бұрын
Thank you!
@ralvarezb78Ай бұрын
Very clear and impressive MASTERCLASS
@MathTheBeautifulАй бұрын
Thank you!
@ralvarezb78Ай бұрын
@@MathTheBeautifulThanks to you. I'm electrical engineer, with more than 15 years of experience and I'll subscribe next Monday on Maths at "Université de la Sorbonne" (Paris). Your video transmits not only deep knowledge on what is going on, but also passion of the teacher, and this is the very important thing. Congratulations!
@sihonglai9059Ай бұрын
What textbook do you use please?
@MathTheBeautifulАй бұрын
Writing one. It will soon be on grinfeld.org
@sihonglai9059Ай бұрын
Taylor's expansion or finding power series representations for functions is just taking derivatives to find simplest core of the function, such as straight line acceleration creating curve speed and then leading to quadratic location function. the Taylor's series are such representation with initial conditions at every level of differentiation. Seeing it in the perspectives of control system engineering or Dynamics , that is how Equations of Motion and Euler-Lagrange Equations work.
@sihonglai9059Ай бұрын
Mathematics is inherently and should be inherently beautiful and elegant. Its fundamental core is simple and unsophisticated, yet it possesses a magical beauty akin to art. Similar to art, mathematical concepts can be explained, appreciated, and embraced from various perspectives. This diversity evolves into the realm of philosophy, where not only one beautiful interpretation exists, but where limitless possibilities unfold. When all mathematical concepts converge and their interpretations harmonize into unity and none. then we will find the heaven, the kingdom of God, the Brahman. Thank you for teaching the math the way it is supposed to be taught !
@MathTheBeautifulАй бұрын
Thank you - your comments are much appreciated!
@jamesnapier3802Ай бұрын
I find it odd that you claim the ear is "one sensor", while with the eye, you count each rod and cone. There is more than one hair cell in the cochlea, you know....
@MathTheBeautifulАй бұрын
You're exactly right. I did not know that when I was making the video. However, ther overall point is valid: there's still a single signal going into the ear carrying all of the information in that one signal. With visual data, however, every point we see sends its own signal into our eye.
@ehguygАй бұрын
[[x,0] [x] = [x^2] [0,x] [1] = [x]
@FranzBiscuitАй бұрын
Well done, I think I actually get it now! The presentation was wonderful, very enjoyable indeed. Cheers. SUBSCRIBED
@MathTheBeautifulАй бұрын
Thank you!
@wagsman9999Ай бұрын
Gorgeous stuff.
@MathTheBeautifulАй бұрын
Thank you!
@joeheafner2495Ай бұрын
BOOM! This may very well be the best way to bring the metric tensor into introductory physics.
@MathTheBeautifulАй бұрын
Agreed
@user-rb9yy3ov5tАй бұрын
Pasha, you are more of an artist than a mathematician!. Marvelous the presentation.
@MathTheBeautifulАй бұрын
Haha, thank you for the compliment!
@BUY_YOUTUB_VIEWS.321Ай бұрын
Your video is like a mini-masterclass. So valuable!
@tomholroyd7519Ай бұрын
oh did you mention to your students the identity matrix hidden in the metric? 'cuz you know
@MathTheBeautifulАй бұрын
I did not, but will at another time.
@tomholroyd7519Ай бұрын
Ooooh Kayyyy Gram Matrix from now on
@MathTheBeautifulАй бұрын
Cancel culture catches up with Schmidt
@SimchaWaldmanАй бұрын
In the thumbnail, you can use LaTeX coding *\imath* and *\jmath* to get a dotless *i* and *j* respectively.
@MathTheBeautifulАй бұрын
Thank you! Yes, I think that would have been better!
@johnathancorgan3994Ай бұрын
After decades of using linear algebra in professional work, I still find these treatments of the basics quite refreshing and sometimes even enlightening. There is an elegance to the part of the world that can be modeled and predicted by linear maps.
@MathTheBeautifulАй бұрын
Me too!
@PluralistАй бұрын
@camilagonzalez1859Ай бұрын
Thank you 🙏 a😭😭
@MathTheBeautifulАй бұрын
Glad you enjoyed!
@KaiseruSozeАй бұрын
Excellent as usual. How long is a line? Twice as long as a half of a line. Which one you choose as a reference length is arbitrary.
@theoremusАй бұрын
The radian is related to arclength of the circle. Hence, to do angle measurement in radians, one needs differential geometry.
Пікірлер
beautiful explanation, thank you.
mind pothondi raa rei..........su sir
When I first read about the theorem in my textbook about polar decomposition my first thoughts were "is this really true? If you can write any matrix A as Q and S (let's use the same letters as in these videos), you can also write S as XDX^T and get A=QXDX^T which is just one rotation matrix multiplied by a diagonal matrix, multiplied by another rotation matrix. That can't be right. We can't express every linear transformation as rotating and reflecting, then scaling and then again rotating and reflecting, right?" So, my intuition was wrong then, this is apparently possible to do with every matrix, if I understood the videos correctly.
Almost - the exception in the "defective" case
I really like the way you teach this. I thought I knew linear algebra, but this takes things to another level.
There's always another level!
idk why the quality on the lemma website is so bad. can't read much that you have written on the board.
This is not the end yet, is it ?
Sir I abousulutly love your teaching may you always be well and teach maths to all of maths lover
I have two questions about surfaces. Is there a way to find the inverse of a surface? The other question is we have parametrization by arc lengh, but is there a way to define a parametrization by surface area?
Even though differentiation of functions having vectors as arguments is weird to think about you can still make an intuitive approach to it geometrically and see where the errors first occur.
Thank you for your amazing videos.Speak of the rotation stuff, could you make a video details how the quarternions works. I have watched so many videos still could not fully understand the concepts .Thanks for your reply in advance
When something is so universal like this I start to wonder if it can be somehow generalized to non-linear transformations like diffeomorphisms
Can we restrict the form of A using this decomposition if we know that A is nil-potent with index 2?
At time 43:00 you write the equation for the surface MT (4 values) each of them as a function of the ambience MT (9 values). You make a contraction and now each value of the surface MT is expressed as a function of a PORTION of the ambience MT i.e. only 6 values because beta will never be = 3. Is it correct ?
I saw the little messy 😂😂😂😂
That was my goal
@@MathTheBeautiful Sir, Do you plan to do a series on abstract algebra? And the text book on this series of linear algebra? Thank you for your amazing videos !
At first look I wanted to calculate coefficients of Legendre polynomials but for numerical methods we don't need them We need nodes (roots) and weights which can be calculated from eigen problem with symmetric tridiagonal matrix b_{k,k+1} =b_{k+1,k}= k/sqrt((2k-1)(2k+1)) For nodes we need eigenvalues and for weights we need first entry of eigenvector corresponding with eigenvalue There is other method based on Newton's method and asymptotic approximations but i dont know the details Maybe video with code written from scratch
6:34
1:20 how do you prove that the two empty spaces are the same, like the size of the empty space does not change if you rearrange the pieces?
I **assume** that it's true
Yes this is exactly what I was looking for. You explained it great
Glad it was helpful!
than
You're welcome!
I could be wrong but I think the dot product came from multiplication of quaternions. If you multiply 2 quaternions q1 and q2 (a good exercise; giving them generic components a bi cj dk etc.) you will find that many of the terms cancel, leaving you essentially with a dot product term and a cross product term. They can be thought of as symmetric and antisymmetric parts. The history of it began with quaternions first. Then people like Heavyside and Gibbs were proponents of extracting these parts of the quaternionic product into a dot product and cross product and the rest is history. It's an interesting period of history where even some of the greats struggled with quaternions and also with Maxwell's laws. There was a lot of organization and consolidation that took place, but by forgetting the history we expose ourselves to risk of a lot of confusion in the sea of vector calculus and namblas and hodge star duals, clifford algebras, etc etc.
Can I switch between row and column operation while calculating elementary matrix?
Yes
Sublime lecture. Such illuminating examples. 🪩 I also smiled and appreciated your dislike of ∈. I'm not against it (it's e for element at least) but it's true that I always feel a bit unnecessarily pompous when I use it.
Why do you keep erasing the Tau term in favor or Pi? Do you not find Tau to be far more unifying?
thank you, amazing explanation, may God bless you
This feels like a Charlie Chaplin movie after mic died.
This is amazing, thank you so much for revealing the beauty of the mathematics. why not upload videos for Calc I. I am looking forward to your precious videos
great explanation, thanks!
ME,I THINK IT SHOULD READ <PARAMETRIZATION>.Cf. e.g. <THE OXFORD DICTIONARY OF MATHEMATICS>. ROLF NEVANLINNA HAS WRITEN A BOOK WITH THE TITLE <UNIFORMISIERUNG> [GERMAN] SPRINGER -VERLAG ,1967 2.EDITION.
What's it about?
ME,I THINK IT SHOULD READ <PARAMETRIZATION>. Cf. e.g. THE OXFORD DICTIONARY OF MATHEMATICS.
Good to know
I didn't realize math could be so beautiful! :)
Thank you!
Very clear and impressive MASTERCLASS
Thank you!
@@MathTheBeautifulThanks to you. I'm electrical engineer, with more than 15 years of experience and I'll subscribe next Monday on Maths at "Université de la Sorbonne" (Paris). Your video transmits not only deep knowledge on what is going on, but also passion of the teacher, and this is the very important thing. Congratulations!
What textbook do you use please?
Writing one. It will soon be on grinfeld.org
Taylor's expansion or finding power series representations for functions is just taking derivatives to find simplest core of the function, such as straight line acceleration creating curve speed and then leading to quadratic location function. the Taylor's series are such representation with initial conditions at every level of differentiation. Seeing it in the perspectives of control system engineering or Dynamics , that is how Equations of Motion and Euler-Lagrange Equations work.
Mathematics is inherently and should be inherently beautiful and elegant. Its fundamental core is simple and unsophisticated, yet it possesses a magical beauty akin to art. Similar to art, mathematical concepts can be explained, appreciated, and embraced from various perspectives. This diversity evolves into the realm of philosophy, where not only one beautiful interpretation exists, but where limitless possibilities unfold. When all mathematical concepts converge and their interpretations harmonize into unity and none. then we will find the heaven, the kingdom of God, the Brahman. Thank you for teaching the math the way it is supposed to be taught !
Thank you - your comments are much appreciated!
I find it odd that you claim the ear is "one sensor", while with the eye, you count each rod and cone. There is more than one hair cell in the cochlea, you know....
You're exactly right. I did not know that when I was making the video. However, ther overall point is valid: there's still a single signal going into the ear carrying all of the information in that one signal. With visual data, however, every point we see sends its own signal into our eye.
[[x,0] [x] = [x^2] [0,x] [1] = [x]
Well done, I think I actually get it now! The presentation was wonderful, very enjoyable indeed. Cheers. SUBSCRIBED
Thank you!
Gorgeous stuff.
Thank you!
BOOM! This may very well be the best way to bring the metric tensor into introductory physics.
Agreed
Pasha, you are more of an artist than a mathematician!. Marvelous the presentation.
Haha, thank you for the compliment!
Your video is like a mini-masterclass. So valuable!
oh did you mention to your students the identity matrix hidden in the metric? 'cuz you know
I did not, but will at another time.
Ooooh Kayyyy Gram Matrix from now on
Cancel culture catches up with Schmidt
In the thumbnail, you can use LaTeX coding *\imath* and *\jmath* to get a dotless *i* and *j* respectively.
Thank you! Yes, I think that would have been better!
After decades of using linear algebra in professional work, I still find these treatments of the basics quite refreshing and sometimes even enlightening. There is an elegance to the part of the world that can be modeled and predicted by linear maps.
Me too!
Thank you 🙏 a😭😭
Glad you enjoyed!
Excellent as usual. How long is a line? Twice as long as a half of a line. Which one you choose as a reference length is arbitrary.
The radian is related to arclength of the circle. Hence, to do angle measurement in radians, one needs differential geometry.