The 3 points of a triangle in $\mathbb{R}3$ are not precisely known. The uncertainty of the points shall be described by three-dimensional Gaussians where the expectation values $(x_i,y_i,z_i), i=1,2,3$ and standard deviations are known. What is the expected area and area distribution? (here a 2d sketch)
The area can be calculated via the cross product and is given in terms of $(x_i,y_i,z_i)$ as
$\frac{1}{2}\sqrt{(x_1 y_3+x_2 y_1-x_1 y_2-x_2 y_3-x_3 y_1+x_3 y_2)^2+(x_1 z_2-x_1 z_3-x_2 z_1+x_2 z_3+x_3 z_1-x_3 z_2)^2+(y_1 z_3+y_2 z_1-y_1 z_2-y_2 z_3-y_3 z_1+y_3 z_2)^2}$
Following simplifications shall be made:
- standard deviations are equal for all points and all directions
- random distributions are mutually independent
- points do not interfere, i.e. standard deviation $\ll$ point distances