Essentially this can lead to euclidean geometry in programming essentially allowing near infinite decompression either in programming or in devices or even spaceships.

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In physics and mathematics, in the area of vector calculus, Helmholtz’s theorem,^[1][2] also known as the fundamental theorem of vector calculus,^{[3][4][5][6][7][8][9]} states that any sufficiently smooth, rapidly decaying vector field in three dimensions can be resolved into the sum of an irrotational (curl-free) vector field and a solenoidal (divergence-free) vector field; this is known as the Helmholtz decomposition or Helmholtz representation. It is named after Hermann von Helmholtz.^[10]

As an irrotational vector field has a scalar potential and a solenoidal vector field has a vector potential, the Helmholtz decomposition states that a vector field (satisfying appropriate smoothness and decay conditions) can be decomposed as the sum of the form − ∇ ϕ + ∇ × A {\displaystyle -\nabla \phi +\nabla \times \mathbf {A} }, where ϕ {\displaystyle \phi } is a scalar field called “scalar potential”, and A is a vector field, called a vector potential.