Because every position parallel to an idealized plane is equivalent, the relevant physical field can be treated as uniform across that direction. Its value therefore depends on the distance or scale measured relative to the plane rather than on a lateral coordinate. This removes position-dependent variation and turns a spatially complicated field calculation into a simpler symmetric one.
The approximation is most credible when the observation region is far from the surface boundaries compared with the distance or other scale of interest. Under that condition, edge-generated variation contributes little to the local behavior, so the field appears effectively uniform parallel to the plane. Near an edge, this symmetry-based simplification becomes less reliable.
It discards edge information, replacing finite geometry with a translationally symmetric idealization. As a result, the predicted field is position-independent parallel to the plane in the modeled region, whereas a finite surface can have boundary-related variation. This tradeoff makes the equations simpler but limits accuracy near boundaries, where the approximation no longer represents the full geometry.
For a uniformly charged sheet, choose a pillbox-shaped Gaussian surface that crosses the sheet and use the plane's translational symmetry to evaluate the field consistently across equivalent lateral positions. Gauss's law then connects the charge enclosed by that surface with the field calculation. The result is a direct route to the idealized sheet's electric field.
In capacitor analysis, treating relevant surfaces as effectively infinite allows the electric-field calculation to use planar symmetry instead of tracking edge geometry. The approximation is especially useful in the interior region, where boundaries are sufficiently distant relative to the scale being examined. It provides a streamlined model while signaling that edge effects are outside the calculation.
The same reasoning can be applied to gravitational sheets and to other systems whose surfaces are sufficiently broad and flat for boundary effects to be neglected. The subject-specific field changes, but the modeling advantage remains: translational symmetry makes the field effectively uniform parallel to the plane. This connects electrostatic and gravitational idealizations through a shared geometric simplification.