Some questions about group representations

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Discussion Overview

The discussion revolves around group representations, specifically focusing on the unitary matrices that block-diagonalize certain matrices, the nature of irreducible representations of the rotation group, and the mathematical rigor involved in these concepts. Participants explore theoretical aspects, mathematical reasoning, and conceptual clarifications related to these topics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants question the rigor of the method for constructing unitary matrices from eigenvectors, suggesting a need for a more formal approach.
  • There is uncertainty about whether only Hermitian matrices can be diagonalized by unitary similarity transformations.
  • One participant initially claims that the representations \( e^{\pm i \varphi} \) are two-dimensional but later corrects themselves, stating they are actually one-dimensional representations.
  • Participants discuss the interpretation of the two representations \( e^{\pm i \varphi} \) as representing different orientations of rotation, with some asserting that both representations are necessary to capture the symmetry of the rotation group.
  • There is a debate about whether the vectors for \( e^{i\varphi} \) and \( e^{-i\varphi} \) should be expressed differently, with some arguing they can remain in the same form as elements of \( \mathbb{C} \).
  • One participant suggests that the terminology of left-handed and right-handed representations may not be standard, but acknowledges that participants can use whatever terms they prefer.
  • Another participant emphasizes that the sets of vectors for \( e^{i\varphi} \) and \( e^{-i\varphi} \) are the same, as both represent elements of \( \mathbb{C} \).

Areas of Agreement / Disagreement

Participants express varying degrees of uncertainty regarding the rigor of certain methods and the dimensionality of representations. There is no consensus on the terminology for left-handed and right-handed representations, and the discussion remains unresolved regarding the best way to express the vectors associated with the representations.

Contextual Notes

Some participants note limitations in their understanding of the mathematical operations involved in constructing matrices and the implications of dimensionality in representations. There are also unresolved questions about the standard terminology used in the context of group representations.

ShayanJ
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I was rethinking about some things I learned but I came to things that seemed to be not firm enough in my mind.

1) When we want to find the unitary matrix that block-diagonalizes a certain matrix through a similarity transformation, we should find the eigenvectors of that matrix and stick them together to get a square matrix. But this process of sticking two column matrices together doesn't seem rigorous to me. Is there a rigorous way of doing this?
2)Consider the group of rotations around an axis. It has two irreducible representations, e^{\pm i \varphi} on the vector space of complex numbers. But we also have the reducible representation of \mathbb R ^2 with Rotation matrices!
a) They both seem to be two dimensional. So sub-representations can have the same dimension of the bigger representation? Seems strange!
b) For e^{i\varphi}, we write the vectors as z=x+iy=\rho e^{i\alpha}. Should we write the vectors differently when we consider e^{-i\varphi}?
c)can we say the group of rotations around an axis has a left-handed and a right-handed irreducible representation?

Thanks
 
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1) Why doesn't this method seem rigorous? By the way, I'm pretty sure (but sadly not 100% sure) that only Hermitian matrices are diagonalized by Unitary similarity transformations. But what about this method seems non-rigorous? What kind of a method do you have in mind that is "rigorous"?

2) I don't think I can answer this question with any authority, so I will stay away from this one. :D
 
Matterwave said:
1) Why doesn't this method seem rigorous? By the way, I'm pretty sure (but sadly not 100% sure) that only Hermitian matrices are diagonalized by Unitary similarity transformations. But what about this method seems non-rigorous? What kind of a method do you have in mind that is "rigorous"?
I was thinking that there is no mathematical operation that let's you stick two column vectors to get a square matrix. But after seeing this page, the equivalent conditions part, I'm now good enough with it!
Matterwave said:
2) I don't think I can answer this question with any authority, so I will stay away from this one. :D
I have the answer to the a part. I was wrong that the e^{\pm i \varphi} representations are 2 dimensional. They're one dimensional because they associate 1 by 1 matrices to each element of the group. I also think c was not a good question so I can abandon it.
Now only 2-b remains! which it seems to me for both representations e^{\pm i \varphi}, we're using the same vector space (\mathbb C) to define the automorphisms on so I think the vectors are the same and only the automorphisms are different. But as you put it, I'm sadly not 100% sure!
 
I'm a little confused by why the group of rotations has "two representations ##e^{\pm i\varphi}##", it seems to me that the + case is a counter-clock-wise rotation, and the - case is a clock-wise rotation, so they are not representing the same thing...
 
Matterwave said:
I'm a little confused by why the group of rotations has "two representations ##e^{\pm i\varphi}##", it seems to me that the + case is a counter-clock-wise rotation, and the - case is a clock-wise rotation, so they are not representing the same thing...
Yeah, they're different in the sense that they are different irreducible representations of the same group. This is actually what we can expect from the beginning. Because rotations around an axis can be done with either of the two possible orientations and no one of them has priority and so if we had only one irreducible representation for rotations around an axis, we were missing this symmetry between the two orientations.
 
I found something interesting:
<br /> \left( \begin{array}{cc} \cos\varphi \ \ \ -\sin\varphi \\ \sin\varphi \ \ \ \cos\varphi \end{array}\right) \left( \begin{array}{cc} x \\ y \end{array}\right)=\left( \begin{array}{cc} x&#039; \\ y&#039; \end{array}\right) \Rightarrow \\ \frac{1}{2\sqrt{2}}\left( \begin{array}{cc} 1 \ \ \ i \\ 1 \ -i \end{array}\right) \left( \begin{array}{cc}\cos\varphi \ \ \ -\sin\varphi \\ \sin\varphi \ \ \ \cos\varphi \end{array}\right) \left( \begin{array}{cc} 1 \ \ \ 1 \\ -i \ \ \ i \end{array}\right) \left( \begin{array}{cc} 1 \ \ \ i \\ 1 \ -i \end{array}\right) \left( \begin{array}{cc} x \\ y \end{array}\right)=\frac{1}{\sqrt 2}\left( \begin{array}{cc} 1 \ \ \ i \\ 1 \ -i \end{array}\right) \left( \begin{array}{cc} x&#039; \\ y&#039;\end{array}\right) \Rightarrow \\ \left( \begin{array}{cc} e^{i\varphi} \ \ \ 0 \\ 0 \ \ \ e^{-i\varphi} \end{array}\right)\left( \begin{array}{cc} x+iy \\ x-iy \end{array}\right)=\left( \begin{array}{cc} x&#039;+iy&#039; \\ x&#039;-iy&#039; \end{array}\right)<br />
Which means for e^{i\varphi} the vectors are x+iy and for e^{-i\varphi}, they're x-iy.
 
Shyan said:
I was thinking that there is no mathematical operation that let's you stick two column vectors to get a square matrix.
You don't need an operation. If a,b,c,d are real numbers, then ##\begin{pmatrix}a & b\\ c & d\end{pmatrix}## is a square matrix, period. The fact that ##\begin{pmatrix}a\\ c\end{pmatrix}## and ##\begin{pmatrix}b\\ d\end{pmatrix}## are 2×1 matrices doesn't change that.

Shyan said:
Which means for e^{i\varphi} the vectors are x+iy and for e^{-i\varphi}, they're x-iy.
But the sets ##\{x+iy|x,y\in\mathbb R\}## and ##\{x-iy|x,y\in\mathbb R\}## are the same. (They're both ##\mathbb C##).
 
Last edited:
Shyan said:
a) They both seem to be two dimensional. So sub-representations can have the same dimension of the bigger representation? Seems strange!
You started out with a set of 2×2 complex matrices. Their components may be real, but you're using the multiplication operation defined on the set of 2×2 complex matrices, so all your matrices should be thought of as complex. They correspond to linear operators on ##\mathbb C^2##. This is a 2-dimensional vector space over ##\mathbb C##.

Then you found two invariant subspaces, each of them 1-dimensional. (##\mathbb C## is a 1-dimensional vector space over ##\mathbb C##), and you used them to define irreducible representations. So you went from 2 dimensions to 1.

Shyan said:
b) For e^{i\varphi}, we write the vectors as z=x+iy=\rho e^{i\alpha}. Should we write the vectors differently when we consider e^{-i\varphi}?
No need. They are arbitrary elements of ##\mathbb C##.

Shyan said:
c)can we say the group of rotations around an axis has a left-handed and a right-handed irreducible representation?
I don't think that terminology is standard, but I suppose you can call them whatever you want.
 

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