- Pauli Matrices and Rotation
1. Vector Space of Traceless Hermitian Matrices
(1) Basis: ${\sigma_x, \sigma_y, \sigma_z}$
- $\mathbf{\sigma} = (\sigma_x, \sigma_y, \sigma_z)$
- $\mathbf{n} = (n_x, n_y, n_z)$
- $\mathbf{n} \cdot \mathbf{\sigma} = n_x \sigma_x + n_y \sigma_y + n_z \sigma_z \in V$
- Inner product: $X \cdot Y = \frac{1}{2}\text{tr}(XY)$
(2) Basis: ${\frac{1}{2}\sigma_x, \frac{1}{2}\sigma_y, \frac{1}{2}\sigma_z}$
- $\tilde{\sigma}_x = \frac{1}{2}\sigma_x$, $\tilde{\sigma}_y = \frac{1}{2}\sigma_y$, $\tilde{\sigma}_z = \frac{1}{2}\sigma_z$
- $\mathbf{\tilde{\sigma}} = (\tilde{\sigma}_x, \tilde{\sigma}_y, \tilde{\sigma}_z)$
- $\mathbf{n} = (n_x, n_y, n_z)$
- $\mathbf{n} \cdot \mathbf{\tilde{\sigma}} = n_x \tilde{\sigma}_x + n_y \tilde{\sigma}_y + n_z \tilde{\sigma}_z \in V$
- Inner product: $X \cdot Y = 2 \text{tr}(XY)$
2. Rotation in Vector Space $S$ with Basis ${|+\rangle_s, |-\rangle_s}$
Rotation in Complex Plane and Coordinate Plane
- $e^{i\theta}$: Rotation of complex numbers in the complex plane
- $e^{-i\theta \mathbf{n} \cdot \mathbf{\sigma}}$: For a rotation axis $\mathbf{n}$ (corresponding to the y-axis) and a measurement axis $\mathbf{n’}(S)$(corresponding to the $z$-axis) that is perpendicular to the rotation axis, rotate a vector in the eigenvector space $S$ (a vector space with basis {|+⟩_s, |-⟩_s}) by an angle $\theta$.
Example: $\mathbf{n} = (0, 1, 0) \Rightarrow \mathbf{n} \cdot \mathbf{\sigma} = \sigma_y$
$$e^{-i\theta\sigma_y} = \cos\theta - i\sin\theta\sigma_y = \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix}$$Example: $\mathbf{n} = (0, 1, 0) \Rightarrow \mathbf{n} \cdot \mathbf{\tilde{\sigma}} = \tilde{\sigma}_y$
$$\begin{align*} e^{i\theta\tilde{\sigma}_y} &= \cos\frac{\theta}{2} + i\sin\frac{\theta}{2}\sigma_y\\ &= \begin{pmatrix} \cos\frac{\theta}{2} & \sin\frac{\theta}{2} \\ -\sin\frac{\theta}{2} & \cos\frac{\theta}{2} \end{pmatrix} \end{align*}$$Note: The rotation of vectors in vector space $S$ is given by:
$$e^{-i\theta \mathbf{n} \cdot \mathbf{\sigma}}, e^{-i\theta \mathbf{n} \cdot \mathbf{\tilde{\sigma}}}$$
3. Rotation of Traceless Hermitian Matrices in Vector Space $V$
For $X \in V$ with basis ${\tilde{\sigma}_x, \tilde{\sigma}_y, \tilde{\sigma}_z}$:
- $U(R(\theta)) = e^{-i\theta \mathbf{n} \cdot \mathbf{\tilde{\sigma}}}$
- $R(\theta)[X] \leftrightarrow U(R)XU^{\dagger}(R)$
- $\mathbf{n} = (0,0,1) \Rightarrow \mathbf{n} \cdot \mathbf{\tilde{\sigma}} = \tilde{\sigma}_z$
In this case, $[X] = \left[\begin{pmatrix} z & x-iy \\ x+iy & -z \end{pmatrix}\right ] = (x,y,z)$Example: $\mathbf{n} \cdot \mathbf{\tilde{\sigma}} = \tilde{\sigma}_z$, $U(R) = e^{-i\theta\tilde{\sigma}_z}$, $X=\sigma_x$
$$X' = U(R)XU^{\dagger}(R) = \begin{pmatrix} 0 & e^{-i\theta} \\ e^{i\theta} & 0 \end{pmatrix}$$$$= \begin{pmatrix} 0 & \cos\theta - i\sin\theta \\ \cos\theta + i\sin\theta & 0 \end{pmatrix}$$This means: $(1,0,0) \rightarrow (\cos\theta, \sin\theta, 0)$
Important Notes:
- In a vector space $V$, the coordinates of a vector are represented as $\mathbf{n}$, which is an expression in terms of axes, and it should be noted that the axis of rotation is expressed in the same format.
- This can be understood by setting the reduced Planck constant $\hbar = 1$.