The doughnut representation satisfies uniqueness everywhere, but isn't symmetric: the circles in the vertical direction are all the same size; but if you consider circles in the other direction, they depend on the angle; for instance circles at the top of the doughnut are bigger than the circle encircling the doughnut hole, and smaller than the circle encircling the entire doughnut. You can visualize how this asymmetry happens by turning the square into a doughnut: start with the square above; make it into a roll so that the left and right sides are identified, and then now bend the roll to identify the top and bottom edges: if you bent towards you, then the backside gets stretched a lot more than the front side on the way to forming the full doughnut.
Clifford torus is a way to satisfy both properties (symmetry and uniqueness) at the same time and it's a theorem that one needs to be in 4 dimensions for this to happen.
https://en.wikipedia.org/wiki/Clifford_torus#Still_more_gene...
Torus (as in 2-dimensional torus) is nice in R^4, and in general the n-dimensional torus is nice in R^{2n}
Spent awhile digging around until I found a euclidean 2-torus: the Clifford torus which can provide foundations to make the world wrapping metaphor a bit more accurate for flat 2D systems. It's still unknown to me if the authors actually had this in mind when they wrote the description of the wrapping system but it was certainly a fun side trek.
Borrelli, V.; Jabrane, S.; Lazarus, F.; Thibert, B. (April 2012), "Flat tori in three-dimensional space and convex integration", Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, 109 (19): 7218–7223, doi:10.1073/pnas.1118478109, PMC 3358891, PMID 22523238
> It was a long-held belief that ... no isometric embedding of the square flat torus—a differentiable injective map that preserves distances—could exist into three-dimensional space. In the mid 1950s Nash (1) and Kuiper (2) amazed the world mathematical community by showing that such an embedding actually exists.
> ...
> In this article, we convert convex integration theory into an explicit algorithm. We then provide an implementation leading to images of an embedded square flat torus in three-dimensional space. This visualization has led us in turn to discover a unique geometric structure. This structure, described in the corrugation theorem below, reveals a remarkable property: The normal vector exhibits a fractal behavior.