Tetrahedral Symmetry

Tetrahedral Symmetry#

A tetrahedron is formed by joining alternating vertices as one traverses the edges of a cube. Taking these four vertices to be

\[\begin{split}\begin{align*} {\bf V}_1 &= \frac1{\sqrt{3}}(1, 1, 1) \\ {\bf V}_2 &= \frac1{\sqrt{3}}(-1, -1, 1) \\ {\bf V}_3 &= \frac1{\sqrt{3}}(1, -1, -1) \\ {\bf V}_4 &= \frac1{\sqrt{3}}(-1, 1, -1) \,, \end{align*} \end{split}\]

(such that they each lie on the unit sphere) we find that the corresponding spherically-projected coordinates are

\[k_1 = -k_2 = \frac{1+i}{\sqrt{3} -1} \,,\quad k_3 = -k_4 = \frac{1-i}{\sqrt{3}+1} \,.\]

(Note that an equivalent tetrahedron could be constructed using the points antipodal to the ones above; this is referred to as the “diametral tetrahedron”.)

The discrete rotational symmetries of the tetrahedron can be constructed by composing the two-fold rotation about the \(z\) axis (which maps \({\bf V}_1 \leftrightarrow{\bf V}_2\), \({\bf V}_3 \leftrightarrow{\bf V}_4\)) with the three-fold rotation about the \({\bf V}_1\) axis (which maps \({\bf V}_2 \rightarrow {\bf V}_3\), \({\bf V}_3 \rightarrow {\bf V}_4\), \({\bf V}_4 \rightarrow {\bf V}_2\)). On the complex plane, these correspond to

\[\begin{split}\begin{align*} I:\quad z \to z' &= -z \\ II:\quad z \to z' &= \frac{z+i}{z-i} \,, \end{align*}\end{split}\]

respectively.

from sympy import I, Matrix, Rational, conjugate, cos, exp, pi, simplify, sqrt, symbols
# Check of the above:
sp1 = (1 + I) / (sqrt(3) - 1)
sp2 = -(1 + I) / (sqrt(3) - 1)
sp3 = (1 - I) / (sqrt(3) + 1)
sp4 = (-1 + I) / (sqrt(3) + 1)

# fmt: off
((sp1 + I) / (sp1 - I)).equals(sp1) and \
((sp2 + I) / (sp2 - I)).equals(sp3) and \
((sp3 + I) / (sp3 - I)).equals(sp4) and \
((sp4 + I) / (sp4 - I)).equals(sp2)
# fmt: on
True

In terms of the homogeneous coordinates \(u\) and \(v\), these two transformations map directly to

\[ \begin{align}\begin{aligned}\begin{split}\begin{aligned} I:&\quad \begin{array}{ccc} u' &=& i\,u \\ v' &=& -i\,v \end{array} \\ II:&\quad \begin{array}{ccc} u' &=& \tfrac12(1+i)\,u - \tfrac12(1-i)\,v \\ v' &=& \tfrac12 (1+i) u + \tfrac12(1-i)\,v \,. \end{array} \end{aligned}\end{split}\\\begin{split}% \begin{align*} % u' &= (d+i\,a_3)u - (a_2-i\,a_1)v \\ % v' &= (a_2+i\,a_1)u + (d-i\,a_3) v \,. % \end{align*} \end{split}\end{aligned}\end{align} \]

Polynomial Invariants#

Keeping in mind that all symmetry transformations of the tetrahedron merely exchange a number of vertices with one another, it’s expected that a polynomial with roots at the locations of the vertices in the complex plane will be invariant under such transformations. To see this, consider the product

\[\begin{split}\begin{align*} \Phi(u, v) &:= \prod_{i=1}^4 \left(u - k_i\, v\right) = (u^2-k_1^2)(v^2-k_3^2) \\ &= u^4 - 2i\sqrt{3}\,u^2v^2 + v^4 \end{align*}\end{split}\]

and apply the transformation \((u, v) \to (u', v')\) as before. In the general case, this gives

\[\begin{split}\begin{align*} \Phi(u', v') &= \prod_{i=1}^4 \left(u' - k_i\, v'\right) \\ &= \prod_{i=1}^4 \left(A - k_i\, C\right) \prod_{i=1}^4 \left(u - k_i'\, v\right) \\ &= \prod_{i=1}^4 \left(A - k_i\, C\right) \, \Phi(u, v) \end{align*}\end{split}\]

where we define

\[k'_i := \frac{k_i\, D - B}{- k_i\, C + A} \quad\leftrightarrow\quad k_i = \frac{k_i'\,A+B}{k_i'\,C+D} \,.\]

In the case of both transformations \(I\) and \(II\), the product \(\prod_{i=1}^4 \left(u - k_i'\, v\right)\) is clearly invariant, because the vertices all transform into one another under any of the transformations. For transformation \(I\), the product \(\prod_{i=1}^4 \left(A - k_i\, C\right) = 1\) because \(A=i\) and \(C=0\). For transformation \(II\), this product instead gives

\[\begin{split}\begin{align*} \prod_{i=1}^4 \left(A - k_i\, C\right) &= \left[\tfrac12 (1+i)\right]^4\prod_{i=1}^4 \left(1 - k_i\right) \\ &= -\tfrac14(1-k_1^2)(1-k_3^2) \\ &=-\tfrac14\left[1-i(2+\sqrt{3})\right]\left[1+i(2-\sqrt{3})\right] \\ &=-\frac12+i\frac{\sqrt{3}}2 = e^{2\pi i/3} \,. \end{align*}\end{split}\]

The above guarantees that the function \(\Phi^3(u,v)\) is an absolute invariant under the symmetries of the tetrahedral group.

# Check of the above
simplify(
    (Rational(1, 2) * (1 + I)) ** 4 * (1 - sp1) * (1 - sp2) * (1 - sp3) * (1 - sp4)
)
\[\displaystyle - \frac{1}{2} + \frac{\sqrt{3} i}{2}\]

The above can also be done for the edge midpoints, and face centers, of the tetrahedron. In the latter case, it’s as simple as trading \(k_i \to -1/\bar k_i\) in the above expression for \(\Phi\) (since the face centers are in line with the antipodes of the vertices). This yields

\[\begin{split}\begin{align*} \Psi(u, v) &:= \prod_{i=1}^4\left(u + \bar k_i^{-1}\, v\right) = \prod_{i=1}^4\left(u - \bar k_i\, v\right) \\ &= u^4 + 2i\sqrt{3}\,u^2v^2 + v^4 \,. \end{align*}\end{split}\]

(The second-last equality follows since \(k_1k_4 = k_2k_3 =-1\).) As one might expect, under transformation \(II\) the function \(\Psi(u,v)\) becomes

\[\Psi(u',v') = e^{-2\pi i/3} \, \Psi(u,v) \,.\]

Therefore, the combinations \(\Phi \Psi\) and \(\Psi^3\) are also absolute invariants.

orth = Rational(1, 2) * Matrix([[1 + I, -1 + I], [1 + I, 1 - I]])
u, v = symbols("u v")
U, V = symbols("U V")
uv = Matrix([u, v])

uv_prime = orth * uv
print(f"{uv_prime=}")

Phi = (u - sp1 * v) * (u - sp2 * v) * (u - sp3 * v) * (u - sp4 * v)

# print(Phi.subs(u, uv_prime[0]))
Phi_prime = Phi.subs([(u, U), (v, V)]).subs([(U, uv_prime[0]), (V, uv_prime[1])])
(Phi_prime / exp(2 * pi * I / 3)).rewrite(cos).radsimp().expand()
uv_prime=Matrix([
[u*(1/2 + I/2) + v*(-1/2 + I/2)],
[ u*(1/2 + I/2) + v*(1/2 - I/2)]])
\[\displaystyle u^{4} - 2 \sqrt{3} i u^{2} v^{2} + v^{4}\]

In contrast, the six midpoints are at \(z=0\), \(z=\infty\), \(z=\pm 1\), and \(z=\pm i\). In this case, the invariant polynomial is given by

\[t(u, v) = uv(u-v)(u+v)(u-iv)(u+iv) = uv(u^4-v^4) \,.\]

Under the transformation \(II\) (with \(A=\tfrac12(1+i)=-B^*=C=D^*\)), we see that

\[\begin{split}\begin{align*} t(u',v') &= \left(A\,u-A^*\,v\right)\left(A\,u+A^*\,v\right) \\ &\times\left[\left(A\,u-A^*\,v\right)^2 - \left(A\,u+A^*\,v\right)^2\right]\left[\left(A\,u-A^*\,v\right)^2+\left(A\,u+A^*\,v\right)^2\right] \\ &=\left(A^2\,u^2 - A^{*2}\,v^2\right)\left[4\,AA^*\,uv\right]\left[2\left(A^2\,u^2+A^{*2}\,v^2\right)\right] \\ &=\frac i2\left(u^2 + v^2\right)\left[-2\,uv\right]\left[i\left(u^2-v^2\right)\right] = t(u,v) \end{align*}\end{split}\]

where, in the last line, we make use of \(A^2 = i/2 = -A^{*2}\). Similarly, \(t(u',v') = t(u,v)\) under transformation \(I\) where \(A=i=D^*\), \(B=C=0\), we find

\[\begin{split}\begin{align*} t(u',v') &= AA^*\,uv(A^2\,u^2-A^{*2}\,v^2)(A^2\,u^2+A^{*2}\,v^2) \\ &= t(u,v) \,. \end{align*}\end{split}\]

Therefore, \(t(u,v)\) is an absolute invariant as well.

By direct computation, one can evaluate the combination \(\Psi^3- \Phi^3\). As it turns out, this expression has a particularly simple form:

\[\Psi^3(u, v) -\Phi^3(u, v) = 12\sqrt{3}\,i\,t^2(u, v) \,.\]
# Check of the above:
Phi = (u - sp1 * v) * (u - sp2 * v) * (u - sp3 * v) * (u - sp4 * v)
Psi = (
    (u - conjugate(sp1) * v)
    * (u - conjugate(sp2) * v)
    * (u - conjugate(sp3) * v)
    * (u - conjugate(sp4) * v)
)
simplify(Psi**3 - Phi**3).factor()
\[\displaystyle 12 \sqrt{3} i u^{2} v^{2} \left(u - v\right)^{2} \left(u + v\right)^{2} \left(u^{2} + v^{2}\right)^{2}\]
# Second check:
t = u * v * (u - v) * (u + v) * (u**2 + v**2)
(Psi**3 - Phi**3).equals(12 * sqrt(3) * I * t**2)
True
e_3, z_1 = symbols("e_3 z_1")

zs = [0, z_1, z_1 * e_3, z_1 * e_3]