Given a sphere of radius 1 centered at the origin and $n$ spheres with radii $r_i$ centered at predefined coordinates, $c_i$, in space, I am after the surface area of the unit sphere that is not intersected by any of the surrounding spheres. E.g. given the coordinates
c = {{{1.2,0,0},1}, {{0,-1.7,0},1.2}, {{0.7,1,0},0.9}, {{-0.5,-0.5,-0.5},1}}
I am interested in the (potentially) visible blue surface area in the graphic generated by:
{Blue, Sphere[{0,0,0},1], Red, Sphere[#,#2]&@@@c} // Graphics3D
In principle, I can obtain this area by evaluating the following integral
fun = Function[{t,p},
Evaluate[ Times @@
(UnitStep[Total[({Sin[t]*Cos[p],Sin[t]*Sin[p],Cos[t]}-#)^2]-#2^2]& @@@ c)
]
]
NIntegrate[Evaluate[fun[t,p]*Sin[t]], {t,0,Pi}, {p,0,2Pi}] // AbsoluteTiming
However, this approach is slow (in particular for a large numbers of spheres), and has convergence issues.
In an attempt to speed up the integral evaluation, I have devised the following code snippet, which is based on a naive (non-adaptive) application of the trapezoidal rule:
n = 1000;
theta = N@Pi/(n-1)*Range[0,n-1];
phi = 2*N@Pi/(2*n-1)*Range[0,2*n-1];
int1 = ConstantArray[1.,n];
int1[[{1,-1}]] = 0.5;
int2 = ConstantArray[1.,2*n];
int2[[{1,-1}]]=0.5;
(* Calculating ptsT is slow. However, it could be pre-calculated once ... *)
ptsT=Transpose[Outer[{Sin[#]*Cos[#2],Sin[#]*Sin[#2],Cos[#]}&, theta, phi], {3,2,1}];
(
lv = Transpose @
Fold[#1*UnitStep[Total[(ptsT - #2[[1]])^2] - #2[[2]]^2] &,
ConstantArray[1., {2 n, n}], c];
int1.((lv.int2)*Sin[theta]) *Pi/(n - 1) * 2*Pi/(2 n - 1)
) // AbsoluteTiming
How can this calculation be sped up? I am also interested in increasing the number of surrounding spheres to approximately 50.
The following code snippet will generate $n$ spheres, which might be useful in comparing the performance of different approaches:
coords[n_] := Transpose@{
1.1 * Table[
With[{y = (2*i + 1)/n - 1, phi = i*(Pi*(3 - Sqrt[5]))},
{Cos[phi]*#, y, Sin[phi]*#} &[Sqrt[1 - y*y]]
],
{i, 0, n - 1}],
ConstantArray[0.3, n]}
Answer
I don't know your speed or precision requirements but here's an approach that yields a low precision estimate to your 50 sphere problem in a few seconds. It's based on the fact that the surface area of a sphere can be computed via $$\int_0^{2\pi}\int_0^{\pi} \sin(\varphi) \, d\varphi \, d\theta.$$ We'll simply write a test function to determine when a point is close to one of the spheres and use this to restrict the domain of integration.
ctest = Compile[{{phi, _Real}, {theta, _Real},
{centers, _Real, 2}, {radii, _Real, 1}},
Module[{p3d, result},
result = 1.0;
p3d = {Cos[theta] Sin[phi], Sin[theta] Sin[phi], Cos[phi]};
Do[If[Norm[p3d - centers[[i]]] < radii[[i]], result = 0.0;
Break[]],
{i, 1, Length[centers]}];
result]];
test[phi_?NumericQ, theta_?NumericQ,
ptsRadii : {{{_, _, _}, _} ..}] :=
ctest[phi, theta, Sequence @@ Transpose[ptsRadii]];
NIntegrate[
Sin[phi] test[phi, theta, coords[50]], {phi, 0, Pi}, {theta, 0, 2 Pi},
Method -> "AdaptiveMonteCarlo", PrecisionGoal -> 2] // AbsoluteTiming
(* Out: {4.800880, 1.72108} *)
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