Linear algebra - Anti-Commutation Relations

Click For Summary

Homework Help Overview

The discussion revolves around anti-commutation relations in linear algebra, specifically focusing on the expression {x_i, x_j} = 2*y_ij* I for indices i and j ranging from 1 to 3. Participants are tasked with demonstrating this relationship using defined matrices for x_i.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the need to evaluate all combinations of i and j and express confusion about the process. There are requests for examples to clarify the calculations involved.

Discussion Status

Some participants have provided guidance on calculating the anti-commutator and have clarified its definition. Others are exploring a related problem involving commutation relations, questioning whether similar methods apply.

Contextual Notes

Participants express uncertainty regarding the definitions and relationships between the matrices involved, as well as the implications of the indices in the context of the problems presented.

SpiffyEh
Messages
191
Reaction score
0

Homework Statement


Show that {x_i, x_j} = 2*y_ij* I for i = 1; 2; 3 and j = 1; 2; 3.
where
y_ij: N x N -> {0,1}, such that y_ij = {1, if i = j ; 0, if i not = j

Homework Equations





The Attempt at a Solution



I'm confused about exactly what I'm supposed to do here. Do i do all the combinations between i and j or what? Can someone please show me an example or two so that I can do the rest. Thank you
 
Physics news on Phys.org
Yes, you need to show it for all combinations of i and j.

How are the xi's defined?
 
x_1 =
[0 1
1 0]

x_2 =
[ 0 -i
i 0]

x_3 =
[1 0
0 -1]

could you show me one of them just so that i know I'm doing them correctly please.
 
Last edited:
The easiest thing to do is just calculate the six possibilities. For example, for x1 and x2, you want to calculate

\begin{align*}<br /> \{x_1,x_2\} &amp; = x_1 x_2 + x_2 x_1 \\<br /> &amp; = \begin{bmatrix}0 &amp; 1 \\ 1 &amp; 0\end{bmatrix}\begin{bmatrix}0 &amp; -i \\ i &amp; 0\end{bmatrix} + \begin{bmatrix}0 &amp; -i \\ i &amp; 0\end{bmatrix}\begin{bmatrix}0 &amp; 1 \\ 1 &amp; 0\end{bmatrix}<br /> \end{align*}<br />
 
vela said:
The easiest thing to do is just calculate the six possibilities. For example, for x1 and x2, you want to calculate

\begin{align*}<br /> \{x_1,x_2\} &amp; = x_1 x_2 + x_2 x_1 \\<br /> &amp; = \begin{bmatrix}0 &amp; 1 \\ 1 &amp; 0\end{bmatrix}\begin{bmatrix}0 &amp; -i \\ i &amp; 0\end{bmatrix} + \begin{bmatrix}0 &amp; -i \\ i &amp; 0\end{bmatrix}\begin{bmatrix}0 &amp; 1 \\ 1 &amp; 0\end{bmatrix}<br /> \end{align*}<br />

I calculate that then do the 2*y_ij* I and compare? how do i know {x1, x2} = x1x2 + x2x1?
 
Last edited:
SpiffyEh said:
I calculate that then do the 2*y_ij* I and compare?
Yes.
how do i know {x1, x2} = x1x2 + x2x1?
That's the definition of the anticommutator.
 
vela said:
Yes.

That's the definition of the anticommutator.

oh, ok. I wish we had been told that. But it makes sense.

I also have one similar to that

Commutation Relations. Show that [x_i; x_j ] = 2\sqrt{-1}\sume_ijk * x_k
from k= 1 to 3
for i = 1,2,3 and j= 1,2,3

where e_ijk = { 1 if(i,j,k) is (1,2,3),(2,3,1),(3,1,2)
-1 if (i,j,k) is (3,2,1),(1,3,2) or (2,1,3)
0 if i= j or j=k or k=1

For this do i basically do the same thing? is the relationship the same for the x1x2 + x2x1? And also say i do x1 and x2, I'm not sure what to choose for k
 
The commutator is defined as [A,B]=AB-BA.

The righthand side of the equation is

2\sqrt{-1}\sum_{k=1}^3 \epsilon_{ijk}x_k

You're summing over k. You don't get to choose it.

Suppose i=1 and j=2, then \epsilon_{ijk}=0 if k=1 or k=2, so the only term that will survive is the k=3 term. So you want to show

[x_1,x_2] = 2\sqrt{-1}x_3
 
Last edited:
oh! ok that makes sense. Thank you so much
 

Similar threads

  • · Replies 13 ·
Replies
13
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
Replies
3
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
Replies
9
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
Replies
5
Views
3K
Replies
7
Views
2K