I am very happy to see the vidoe after you give this Next presentation about tensors. In this presentation I show the relation between tensors and coordinate system and how a tensor changes when coordinate system
Your Video Is Very Useful Sharing Next presentation about tensors. In this presentation I show the relation between tensors and coordinate system and how a tensor changes when coordinate system.
after i watched this video, my insight is very open because the video is very good to give information Next presentation about tensors. In this presentation I show the relation between tensors and coordinate system and how a tensor changes when coordinate system
still confuse about what is tensor. a rank 1 tensor has 3 component to represent a arrow in space. It's components have only 1 direction in each axis. So rank 2 tensor has 9 component to represent a arrow in space. it that what tensor is?
@gre36789 It's not e of i that should be transposed, but e of j. This, of course, results in the transpose of the resulting matrix shown in the video, but that's as it should be according to the Wikipedia page on the outer product and according to the result you get from Mathematica's OuterProduct[Times, {1,0},{0,1}] command. This way the definition uses straight forward matrix multiplication -- if you transpose e of i and matrix-multiply that with e of j you get the 2x1 column VECTOR {0,1}.
@canciones3 Thanks. I am working on new presentations about applications of tensors of order larger than 3, cause these are the most interesting. these tensors have applications in material mechanics and in the theory of relativity.
we are already tensed regarding these concepts..tensed up with this tensors....the notes is no doubt good. but the music?! the background music is kinda fear evoking... tension inducing...oooooo.........please put some pleasant music or no music instead. thankyou
I like that you used just two dimensions. Once the idea is grasped in two dimensions, it's not difficult to imagine it in 3 or more. Thanks.
scttzwdrff 1 month ago
I am very happy to see the vidoe after you give this Next presentation about tensors. In this presentation I show the relation between tensors and coordinate system and how a tensor changes when coordinate system
bebeheuy 1 month ago
I Really Like The Video From Your Tensor and coordinate system
AntoMelta 1 month ago
Your Video Is Very Useful Sharing Next presentation about tensors. In this presentation I show the relation between tensors and coordinate system and how a tensor changes when coordinate system.
willamricard 1 month ago
after i watched this video, my insight is very open because the video is very good to give information Next presentation about tensors. In this presentation I show the relation between tensors and coordinate system and how a tensor changes when coordinate system
imegatrone 1 month ago
Comment removed
anakmudajaman 1 month ago
still confuse about what is tensor. a rank 1 tensor has 3 component to represent a arrow in space. It's components have only 1 direction in each axis. So rank 2 tensor has 9 component to represent a arrow in space. it that what tensor is?
ilovephysics1122 2 months ago
Yes, that the main idea I wanted to pass to the viewers of my presentation.
EinsteinInSkirt 3 months ago
So it's pretty much Linear algebra combined with trig? that's easy
RainbowDashXSyndrome 3 months ago
Thank you very much for the explanation. I´m waiting for your new presentations. Greetings from Spain!.
supertren 6 months ago
At 2:06 e of i should be transposed. If you take the Kronecker product as written, you will have a 4x1 matrix not a 2x2.
gre36789 8 months ago
@gre36789 I think that you are right
supertren 6 months ago
@gre36789 It's not e of i that should be transposed, but e of j. This, of course, results in the transpose of the resulting matrix shown in the video, but that's as it should be according to the Wikipedia page on the outer product and according to the result you get from Mathematica's OuterProduct[Times, {1,0},{0,1}] command. This way the definition uses straight forward matrix multiplication -- if you transpose e of i and matrix-multiply that with e of j you get the 2x1 column VECTOR {0,1}.
dubistverrueckt 1 month ago in playlist More videos from EinsteinInSkirt
Everythings good and explicit. Any ideas on what this can do on real life application? Thx
canciones3 11 months ago
@canciones3 without vectors and tensors there's no relativity, without relativity GPS cannot function,
and a whole bunch of science's fields that are explained by vectors.
VERGIS92 11 months ago
@canciones3 Thanks. I am working on new presentations about applications of tensors of order larger than 3, cause these are the most interesting. these tensors have applications in material mechanics and in the theory of relativity.
EinsteinInSkirt 7 months ago
we are already tensed regarding these concepts..tensed up with this tensors....the notes is no doubt good. but the music?! the background music is kinda fear evoking... tension inducing...oooooo.........please put some pleasant music or no music instead. thankyou
adithyaplays 11 months ago
@adithyaplays
catdanceable 4 months ago