Proving Vector Identity Using Tensors: Urgent Help Needed

In summary: Just express ##\vec{D}## in the form ##\vec{D} = a \vec{A} + b \vec{B} + c \vec{C}## and then solve for ##a##, ##b##, and ##c## by looking at the components of the vectors on both sides of the equation.
  • #1
David B
3
0

Homework Statement


Hello everyone, can anyone help me prove this using tensors?
Given three arbitrary vectors not on the same line, A, B, C, any other vector D can be expressed in terms of these as:
539fd77825ca4b49399a84cf91b85b53.png

where [A, B, C] is the scalar triple product A · (B × C)

Homework Equations


I know that scalar triple product A · (B × C) in tensor notation is

NumberedEquation1.gif


and triple product can be written as:

Inline5.gif
Inline6.gif
Inline7.gif

Inline8.gif
Inline9.gif
Inline10.gif

Inline11.gif
Inline12.gif
Inline13.gif

Inline14.gif
Inline15.gif
Inline16.gif

Inline17.gif
Inline18.gif
Inline19.gif


The Attempt at a Solution



I just tried to prove as normal, and after simplifying numerator of fractions with their repective denominator in tensor form, finally I arrived to D=3D !
please help!
thanks
 
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  • #2
You need to show us your actual attempt and not just describe it and give your result. If you do not show us what you did, how are we supposed to see where you went wrong and help you correct it?
 
  • #3
We assume vectors have the following tensor notation:
6.png

After simplifying numerators with denominators we have
1.png

And we know that the permutation symbol has the following characteristic (I also mentioned on vector algebra):
2.png

So we have
3.png

And I assumed that (from permutation symbol characteristics):
4.png

So I arrived to
5.png

Which is WRONG!
please help
 
Last edited:
  • #4
You cannot simply cancel terms in the denominator and numerator like you are doing. The repeated indices represent sums (Einstein's summation convention) and both the denominator and numerator are therefore containing sums where all of ##A_i## (for example) represent different values for each term of the sum. In other words, what you are doing is the equivalent of
$$
\frac{x_1 y_1 + x_2 y_2}{x_1 z_1 + x_2 z_2} = \frac{y_1 + y_2}{z_1 + z_2}.
$$
This is obviously not true unless you have very particular values for the numbers included.

David B said:
And I assumed that (from permutation symbol characteristics):
4-png.88974.png
This is utter nonsense. The different ##\varepsilon##s do not even have the same indices so you cannot possibly expect this relation to hold.

You are also doing something obscure when you are trying to identify a vector with its components through ##A = A_i##. This cannot possibly hold as the left hand side is a vector and the right hand side is a number. You can take the component of a vector in a certain direction, but then you need to do that in the same direction for all terms of the vector. What you have done here
David B said:
6-png.88976.png
between the second and third line does not make any sense. You should be taking the ##i##th component of the vector ##D##, which in the first term would be proportional to ##A_i##, in the second proportional to ##B_i##, and in the third to ##C_i## (note the same index ##i## on all of these). Until you have these basics down, you will have no chance of solving this problem.
 
  • #5
Hello
the first note is true,
$$
\frac{x_1 y_1 + x_2 y_2}{x_1 z_1 + x_2 z_2} = \frac{y_1 + y_2}{z_1 + z_2}.
$$
is totally wrong and now I understood.
For your second note, I used the following:
ca96fade4343202b0b4c317f1f4ce469.png

220px-Permutation_indices_3d_numerical.svg.png

and I just assumed m is replaced insted of k, j, i respectively.
whats the problem with it?
And for the third, I think I understood what you mean. I try to rewrite the answer and post it again.
thanks so much
I am beginner and the way I tried to prove is what my instructor used. I will try to correct it
 
Last edited:
  • #6
David B said:
Hello
the first note is true,
$$
\frac{x_1 y_1 + x_2 y_2}{x_1 z_1 + x_2 z_2} = \frac{y_1 + y_2}{z_1 + z_2}.
$$
is totally wrong and now I understood.
For your second note, I used the following:
ca96fade4343202b0b4c317f1f4ce469.png

220px-Permutation_indices_3d_numerical.svg.png

and I just assumed m is replaced insted of k, j, i respectively.
whats the problem with it?
And for the third, I think I understood what you mean. I try to rewrite the answer and post it again.
thanks so much
I am beginner and the way I tried to prove is what my instructor used. I will try to correct it

You are doing it the hard way. If I were doing it I would just express ##\vec{D}## in the form ##\vec{D} = a \vec{A} + b \vec{B} + c \vec{C}##, then solve the equations for ##a,b,c##.
 
  • #7
David B said:
whats the problem with it?
All equations on index form must have the same indices on both sides, you cannot just assume that one index is replacable by another. ##\varepsilon_{ijk}## is only equal to ##\varepsilon_{mjk}## if ##i=m##, which is not always the case in your equations.
 
  • #8
Ray Vickson said:
You are doing it the hard way. If I were doing it I would just express ##\vec{D}## in the form ##\vec{D} = a \vec{A} + b \vec{B} + c \vec{C}##, then solve the equations for ##a,b,c##.
To OP: This does seem like a much better way to do it for your purposes. You do not even need to be familiar with tensor notation to take it from here.
 

1. What is the purpose of using tensors in proving vector identities?

Tensors are useful mathematical tools that allow us to represent and manipulate multidimensional data, such as vectors and matrices. By using tensors, we can simplify and generalize vector identities, making them easier to prove and understand.

2. How do tensors help in proving vector identities?

Tensors provide a concise and efficient way to represent and manipulate vector identities. They allow us to express complex equations in a compact form, making it easier to understand and prove vector identities.

3. Can tensors be used to prove all vector identities?

Yes, tensors can be used to prove all vector identities. They are a powerful mathematical tool that allows us to represent and manipulate any type of vector identity, no matter how complex it may be.

4. Are there any limitations to using tensors in proving vector identities?

While tensors are a versatile tool, they do have some limitations. They can become increasingly complex and difficult to manipulate as the number of dimensions increases. Additionally, not all vector identities may be easily expressed in tensor form.

5. How can I improve my understanding of using tensors to prove vector identities?

To improve your understanding of using tensors to prove vector identities, it is important to have a strong foundation in linear algebra and tensor calculus. You can also practice by working through various examples and exercises to familiarize yourself with the principles and techniques of using tensors in vector identity proofs.

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