Why does the Lie group ##SO(N)## have ##n=\frac{N(N-1)}{2}## real parameters?

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Discussion Overview

The discussion centers on the number of real parameters associated with the Lie group ##SO(N)##, specifically addressing why it is given by the formula ##n=\frac{N(N-1)}{2}##. The scope includes theoretical aspects of Lie groups and their algebraic properties.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant notes that for orthogonal matrices, the condition ##R^{\text{T}}R=I## leads to the conclusion that there are ##n=\frac{N(N-1)}{2}## real parameters, questioning the case for unitary matrices.
  • Another participant responds by stating that the dimension of unitary matrices is ##\dim U_n(\mathbb{C}) =n^2##, and with the restriction of determinant being one, the dimension of special unitary matrices is ##\dim SU_n(\mathbb{C})= n^2-1##.
  • A different participant argues that while orthogonal matrices are not necessarily symmetric, the symmetry of ##R^T R## results in at most ##n(n+1)/2## constraints, leading to ##n(n-1)/2## degrees of freedom, albeit with some uncertainty in the reasoning.
  • Another approach presented involves linearizing a group element ##R## to derive the conditions for the Lie algebra, concluding that the number of real parameters corresponds to the upper triangular components of a matrix, which also results in ##n(n-1)/2## parameters.

Areas of Agreement / Disagreement

Participants express differing views on the implications of symmetry in orthogonal matrices and the relationship between the dimensions of various matrix groups. The discussion remains unresolved regarding the specific implications for unitary matrices compared to orthogonal matrices.

Contextual Notes

Some assumptions about the properties of matrices and the nature of constraints are not fully explored, and the reasoning involves varying degrees of rigor and clarity.

LagrangeEuler
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When we have a Lie group, we want to obtain number of real parameters. In case of orthogonal matrices we have equation
R^{\text{T}}R=I,
that could be written in form
\sum_i R_{i,j}R_{i,k}=\delta_{j,k}.
For this real algebra ##SO(N)## there is ##n=\frac{N(N-1)}{2}## real parameters. Why this is the case when unitary matrix is not symmetric?
 
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LagrangeEuler said:
Why this is the case when unitary matrix is not symmetric?
Why is what the case? ##\dim U_n(\mathbb{C}) =n^2## and with the restriction ##\det =1## we get ##\dim SU_n(\mathbb{C})= n^2-1##
 
Orthogonal matrices are not necessarily symmetric, but since RTR is symmetric, we get at most n(n+1)/2 constraints in n^2 variables. Thus we are left n(n-1)/2 degrees of freedom, with some hand-waving involved.
 
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One approach is to note that the number of real parameters is the same as the dimensions of the Lie algebra. We consider a group element ##R## and linear-ize to first order to produce an element ##R' =R+\epsilon K ## which must obey the group properties up to first order.
$$\begin{align*}
&\Big(R^T + \epsilon K^T\Big)\Big(R+\epsilon K \Big)
=R^T R & + \epsilon(K^T R + R^T K) \\
&\text{at }R=I \text{ we must have }
&K^T + K = 0\end{align*}$$
Thus we must have zeros along the diagonal. The upper triangular matrix part of the matrix is just the negative transpose of the lower triangular matrix, that is ##K_{ij}=-K_{ji}##. So the number of real parameters for K is the same as the number of upper triangular components which is ##n(n-1)/2##. As the dimension of the Lie algebra and the group are the same, the number of parameters for the group is also ##n(n-1)/2##.
 

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