Excellent introduction! The rankings are crystal clear now.
@IntegralMoon9 жыл бұрын
This is awesome :) I'd love to see more of these!
@fredcsjb20779 жыл бұрын
Your videos are awesome! Keep'em coming!
@ninosawbrzostowiecki18928 жыл бұрын
I appreciate the self deprecating humor.
@mshahzaib41957 жыл бұрын
Thank you so much, you explained it in simple words
@lilydog10006 жыл бұрын
Visually very useful in explaining tensors.
@mijnkampvuur9 жыл бұрын
Good and simple explanation!
@RedTriangle537 жыл бұрын
To anyone who thinks the explanation was too vague, it's really supposed to be. The definition of a tensor is even vaguer. Basically an n-rank tensor is an n-dimensional grid of scalars. Each tensor has some different function, just like a temperature scalar has a different function from a probability scalar, the different tensors just tend to have more complex varieties. The jacobi matrix(spatial higher order derivative) of a velocity vector is a specific rank 2 acceleration tensor for example, but the stress tensor, also rank 2, has a very different meaning and application. The thing they have in common is that they are mathematical constructs of a certain dimension. Just like a unit vector and a force vector and a curl vector are different, but still rank 1 tensors because they are one layer deep.
@abebuckingham81986 жыл бұрын
Perhaps your background in physics has ill-prepared you for this but there is no mathematical vagueness in their definition. You have reduced the nature of tensors to indexing entries in an array but this is just a means of representing a tensor, it is not what a tensor actually is. The definitive property is that they are multilinear maps and you have mentioned this nowhere in your video. Your explanation is not merely vague, it's incorrect.
@jkli60318 жыл бұрын
Actually there are some interesting properties for those things to become what we call a 'tensor'
@samaramar26627 жыл бұрын
are tensors scalars? or vectors? or neutral?
@RedTriangle537 жыл бұрын
I don't know what you mean by neutral. Vectors and scalars are types of tensors. A tensor is basically any mathematical construct that makes sense physically, and with higher ranks you can achieve higher complexity.
@samaramar26627 жыл бұрын
what is a mathematical construct?
@RedTriangle537 жыл бұрын
It's synonymous with `mathematical object`.
@interestingmatters3-d1377 жыл бұрын
what about space time tensors ???!??
@TheDavidlloydjones7 жыл бұрын
I certainly am glad you raised that question, Madam. Seize, seize with both hands, with both hands I say, the opportunities as they become apparent to you, and with application, the application of your intellect to the question before you, you, you too, will in the fullness of time, be able to reach, reach I say, as so many have said before me when confronted with a question of the depth, breadth, and even more important the general applicability of the question you have so pungently brought to our attention....
@scitwi91647 жыл бұрын
Saying that vectors are just lists of numbers, and matrices are just arrays of numbers, is like saying that a computer is just a box with lots of buttons, and a computer program is just a string of zeros and ones. It's a true statement, but totally misses the point. Because those are just *representations* of those objects, not the objects themselves.
@samaramar26627 жыл бұрын
are tensors vectors? or scalars? or neutral?
@-danR5 жыл бұрын
A vector is an _ordered_ list of numbers. I think you're getting ahead of the game and implicitly thinking about what you can _do_ with tensors, ie, "stress tensors", by which say a vector normal to a point on a surface can be related to a vector more oblique to the point that surface. But the tensor part _itself_ is still nothing but an (invariant) array of numbers.
@indranathmukherjee61646 жыл бұрын
But what is tensor?
@-danR5 жыл бұрын
You mean _why_ is a tensor, ie: What good are these ordered arrays of numbers? What they _are_ could hardly have been stated more succinctly, although it would been helpful to have depicted the numbers more generally: [a b] ⎡a b⎤ ⎣c d⎦
@alfreds.30237 жыл бұрын
answer the "why" please. and how the are used
@kyrinky9 жыл бұрын
It really does not help saying that you are lazy and skipping on potential good material to explain. it'd be great if you could go more into detail with this stuff, since you seem to know how to explain stuff.
@ifnstorm41589 жыл бұрын
Shit ! I thought matrices were at Rank 1 and vectors at Rank 2. I have to review the covariant tensor of q order by the way or I'll get confusion on tensors .