Coordinate Systems

Two kinds of mappings for information exist: circular, where the radius to each point is constant, and basic, where the distance to a point is a sum of the base times the basic integer logarithm of the point plus a remainder.

In actual fact, circle systems are simulated in all point systems as some combination of split basic systems, where the distance traversed on the radius is actually a variant of the basic root, and the optimal design is a function on the square root of each space.

For this case we have to define that the only true circular system is the unit. The useful theorem of this is that any item can be described unitarily, and the system of any system made into a combination. This program of direction encoding adds a necessary restriction to each point case, from a limited pool of correct determinants on the arbitrary axis; however, the function of the axis can be made to fit into a single combination.

This arbitrary axis, which can be any function, is set to the proper distribution in a given case, with proper membranes, proper diameter, and proper growth, or flux.

The proper distribution is determined by straight-forward balancing, solving for the discrete sums of several-way enactments in the dimension field. The given case is any thing, related definitely or promiscuously to the units of the domain, in the parts of each.

Channels coordinate the subsystems into the membrane, and the diameters are nested into the pattern of the case, in midpoints, validating assumption of range, and hence the netness of the growth.