Note
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Turning the sphere inside out#
There are several videos online talking about how a sphere can be turned inside out in a continuous fashion, for instance in this YouTube video. Thanks to an excellent paper by Adam Bednorz and Witold Bednorz, Differential and its Applications 64, 59 (2019) (also available on arXiv), we can plot this so-called eversion of a sphere (turning it inside out without pinching or tearing the surface, in other words by preserving its topology).
The mathematics involved can seem a bit, well, involved. What matters is the overall process visible in the animation: first the sphere is corrugated and stretched out a bit to allow some legroom for the smooth transformation, then the lobes are twisted around through each other, and the process is reversed in order to unfold the sphere. It’s not obvious that the transformation is truly smooth; this was proved in the paper by Bednorz and Bednorz.
from __future__ import annotations
import numpy as np
import pyvista as pv
# define some parameters
n_steps = 30 # number of steps for a given stage of the animation
Q = 2 / 3 # arbitrary < 1
w = 2 # arbitrary > 0
n = 2 # arbitrary integer > 1, the number of "lobes"
beta = 1 # arbitrary > 1
alpha_final = 1 # arbitrary > 1
eta_final = 2 # arbitrary > 1
kappa = (n - 1) / (2 * n)
Let’s define the chain of mappings we’ll need for implementing the eversion:
def sphere_to_cylinder(theta, phi):
"""Map from spherical polar coordinates to cylindrical ones.
Input theta goes from -pi/2 to pi/2, phi goes from -pi to pi.
Output h goes from -infinity to infinity, phi goes from -phi to phi.
"""
h = w * np.sin(theta) / np.cos(theta) ** n
# phi is unchanged
return h, phi
def cylinder_to_wormhole(h, phi, t, p, q):
"""
Map from a cylinder to an open wormhole using Eq. (4).
Input h goes from -infinity to infinity, phi goes from -phi to phi.
Output is an (x, y, z) point embedded in 3d space.
The parameters t, p, q vary during the eversion process.
Start from |t| > 1 (fixed), p = 1 and q = 0. End at p = 0, qt = +-1.
"""
x = t * np.cos(phi) + p * np.sin((n - 1) * phi) - h * np.sin(phi)
y = t * np.sin(phi) + p * np.cos((n - 1) * phi) + h * np.cos(phi)
z = h * np.sin(n * phi) - t / n * np.cos(n * phi) - q * t * h
return x, y, z
def close_wormhole(x0, y0, z0, eta, xi, alpha):
"""
Close the wormhole using Eqs. (7)-(8).
Input is an (x0, y0, z0) point embedded in 3d space.
Output is an (x2, y2, z2) == (x'', y'', z'') point embedded in 3d space.
The parameters eta, xi, alpha vary during the eversion process.
"""
# Eq. (7): (x, y, z) -> (x', y', z')
denominator = xi + eta * (x**2 + y**2)
x1 = x0 / (denominator**kappa)
y1 = y0 / (denominator**kappa)
z1 = z0 / denominator
gamma = 2 * np.sqrt(alpha * beta)
# singular case, Eq (9):
if np.isclose(gamma, 0):
denominator = x1**2 + y1**2
x2 = x1 / denominator
y2 = y1 / denominator
z2 = -z1
return x2, y2, z2
# Eq. (8): (x', y', z') -> (x'', y'', z'')
exponential = np.exp(gamma * z1)
numerator = alpha - beta * (x1**2 + y1**2)
denominator = alpha + beta * (x1**2 + y1**2)
x2 = x1 * exponential / denominator
y2 = y1 * exponential / denominator
z2 = numerator / denominator * exponential / gamma - (alpha - beta) / (alpha + beta) / gamma
return x2, y2, z2
def unfold_sphere(theta, phi, t, q, eta, lamda):
"""
Unfold the sphere using Eqs. (12), (15), (10).
Input is a (theta, phi) point in spherical coordinates.
Output is an (x, y, z) point embedded in 3d space.
The parameter lamda varies. Lamda = 1 is the final stage of the
wormhole closing, and lamda = 0 is the recovered sphere.
"""
# apply Eqs. (12), (15)
# fmt: off
x = (
t * (1 - lamda + lamda * np.cos(theta)**n) * np.cos(phi)
- lamda * w * np.sin(theta) * np.sin(phi)
)
x /= np.cos(theta)**n
y = (
t * (1 - lamda + lamda * np.cos(theta)**n) * np.sin(phi)
+ lamda * w * np.sin(theta) * np.cos(phi)
)
y /= np.cos(theta) ** n
z = (
lamda * (
(w * np.sin(theta) * (np.sin(n * phi) - q * t)) / np.cos(theta)**n
- t / n * np.cos(n * phi)
)
- (1 - lamda) * eta**(1 + kappa) * t * abs(t)**(2 * kappa)
* np.sin(theta) / np.cos(theta)**(2 * n) # noqa: E131
)
# fmt: on
# apply Eq. (10)
denominator = x**2 + y**2
x2 = x * eta**kappa / denominator ** (1 - kappa)
y2 = y * eta**kappa / denominator ** (1 - kappa)
z2 = -z / eta / denominator
return x2, y2, z2
Now chain the functions by performing the process in Table 1 of the paper.
Start from the bottom for t = -1/Q, keep stepping up, linearly changing
parameters that change from row to row, then at the top go from t = -1/Q
to t = 1/Q, then go back from top to bottom. Save each frame to a GIF.
We make good use of the backface_params keyword parameter of
pyvista.Plotter.add_mesh(), allowing us to plot the inside and the
outside with different colors.
# plot options to use for each frame
opts = dict(
color='aquamarine',
specular=1.0,
specular_power=50.0,
backface_params=dict(color='forestgreen'),
smooth_shading=True,
reset_camera=True,
)
# use a small figure window to reduce the size of the GIF
plotter = pv.Plotter(window_size=(300, 300))
plotter.open_gif('sphere_eversion.gif')
def save_frame(x, y, z):
"""Generate and store a frame of the eversion."""
plotter.clear()
plotter.enable_lightkit()
plotter.add_mesh(pv.StructuredGrid(x, y, z), **opts)
plotter.write_frame()
# initial parameters, will be updated
t = -1 / Q
q = Q
p = xi = alpha = 0
eta = 1
# sphere -> inverted wormhole
theta, phi = np.mgrid[-np.pi / 2 : np.pi / 2 : 200j, -np.pi : np.pi : 400j]
h, phi = sphere_to_cylinder(theta, phi)
for lamda in np.linspace(0, 1, n_steps, endpoint=False):
x2, y2, z2 = unfold_sphere(theta, phi, t, q, eta, lamda)
save_frame(x2, y2, z2)
# inverted wormhole -> unfolded wormhole
x, y, z = cylinder_to_wormhole(h, phi, t, p, q)
xis = np.linspace(0, 1, n_steps)
alphas = np.linspace(0, alpha_final, n_steps)
etas = np.linspace(1, eta_final, n_steps)
for xi, alpha, eta in zip(xis, alphas, etas):
x2, y2, z2 = close_wormhole(x, y, z, eta, xi, alpha)
save_frame(x2, y2, z2)
# unfolded wormhole -> closed wormhole
for q in np.linspace(Q, 0, n_steps):
p = 1 - abs(q * t)
x, y, z = cylinder_to_wormhole(h, phi, t, p, q)
x2, y2, z2 = close_wormhole(x, y, z, eta, xi, alpha)
save_frame(x2, y2, z2)
# closed wormhole turned inside out (flip sign of time)
# unfolded wormhole -> closed wormhole
for t in np.linspace(-1 / Q, 1 / Q, n_steps):
p = 1 - abs(q * t)
x, y, z = cylinder_to_wormhole(h, phi, t, p, q)
x2, y2, z2 = close_wormhole(x, y, z, eta, xi, alpha)
save_frame(x2, y2, z2)
# closed wormhole -> unfolded wormhole
for q in np.linspace(0, Q, n_steps + 1)[1:]:
p = 1 - abs(q * t)
x, y, z = cylinder_to_wormhole(h, phi, t, p, q)
x2, y2, z2 = close_wormhole(x, y, z, eta, xi, alpha)
save_frame(x2, y2, z2)
# unfolded wormhole -> inverted wormhole
x, y, z = cylinder_to_wormhole(h, phi, t, p, q)
xis = np.linspace(1, 0, n_steps + 1)[1:]
alphas = np.linspace(alpha_final, 0, n_steps + 1)[1:]
etas = np.linspace(eta_final, 1, n_steps + 1)[1:]
for xi, alpha in zip(xis, alphas):
x2, y2, z2 = close_wormhole(x, y, z, eta, xi, alpha)
save_frame(x2, y2, z2)
# inverted wormhole -> sphere
for lamda in np.linspace(1, 0, n_steps + 1)[1:]:
x2, y2, z2 = unfold_sphere(theta, phi, t, q, eta, lamda)
save_frame(x2, y2, z2)
plotter.close()
Looking at the still image of the middle state with t = 0, we see a nice
symmetric configuration where two “inside” and two “outside” lobes of the
sphere are visible.
Total running time of the script: (0 minutes 48.062 seconds)