I have no idea what it has to do with God sustaining the world, but 11 dimensional structures are a real thing. For the mathematically curious a good correlate here is something called: intrinsic dimension.
But those aren’t really 11 physical dimensions, right? I can’t figure out what they actually are, unless they’re what Dan Eastwood said: non-zero principle component axes or something similar, i.e. mathematical abstractions from data.
These multivariate methods are useful for data reduction, but orthagonal vectors of data are notoriously difficult to interpret in a non-subsective manner. Social sciences, especially Psychology, use these methods extensively (ie: factor analysis) and have their own terminology for them. We hardly ever use these methods in biomedical data, except for data reduction.
It’s not uncommon for the dimensonallity of data to be less than the number of variables measured, this is due to correlations and redundancy. This is particularly true when making many multiple measurements on a single complex object, like brain activity or motion capture data of physical activity (ex: walking).