Skip to content

n-dimensional ellipsoids

Orthogonal projections of multidimensional ellipsoids – IV – the relation to a Schur complement of the quadratic form matrix

The first three posts in this series showed that the orthogonal projection of a (n-1)-dimensional ellipsoid from a n-dimensional Euclidean space to a (n-1)-dimensional subspace has a surface which is a (n-2)-dimensional ellipsoid. In this fourth post we will extend our insights to projections down onto a p-dimensional sub-spaces with 1 ≤ p < n. The sub-space has a (n-p)-dimensional… Read More »Orthogonal projections of multidimensional ellipsoids – IV – the relation to a Schur complement of the quadratic form matrix

orthogonal projections of ellipsoid

Orthogonal projections of multidimensional ellipsoids – I – points on the ellipsoid that give us the surface points of the projection

In the mathematical section of this blog we deal with the geometry of Multivariate Normal Distributions [MVNs]. We found that the contour surfaces of MVNs are multidimensional ellipsoids given by quadratic forms of their constituting vectors. We have identified the variance-covariance matrix of a MVN as the inverse matrix mediating the required quadratic form. We also considered ellipsoidal cores of… Read More »Orthogonal projections of multidimensional ellipsoids – I – points on the ellipsoid that give us the surface points of the projection

n-dimensional spheres and ellipsoids – III – Surface area of n-dimensional ellipsoid and its relation to MVN-statistics

In the 2nd post of this series we have derived an explicit formula for the volume of a n-dimensional ellipsoid (in an Euclidean space). One reason for the relatively simple derivation was that the determinant of the generating linear transformation could be taken in front of the volume integral. Unfortunately, an analogue sequence of steps is not possible for an… Read More »n-dimensional spheres and ellipsoids – III – Surface area of n-dimensional ellipsoid and its relation to MVN-statistics