Draft: Types of Dimensional Balance

 

Types of Dimensional Balance

These are dimensional balances. So far, I've understood a bit of these five types. They are Degradation, Amplification, Mixed A , Mixed B, and Equalized. Four of these types rely on lesser than to greater than attributes. Equalized doesn't require those properties. 

Dimensional Paths to Balance.
Dimensional Paths to Balance.

Here, the premise ,for balancing one dimensional elements into a two dimensional entity, is there must be a Y for every X and vice-versa. Greater balance consists of Mirage States which copies properties from their original elements and apply them to produce max internal area. I'm ignoring traveled distance and external distance for now. Lesser Balance uses my Storage and Retrieval formula to assess the minimum balance required. At the end of a cycle, you have at least 2 paths for one dimensional elements to achieve two dimensional balance. Greater Balance can overlap with Pythagorean Theorem at least 33.33...% of the time. Examples are (1*1), not (2*1),not (1*2),etc. Therefore, for case where X and Y are originally imbalance in values, quantities, and qualities, Pythagorean Theorem cannot meet these balances. I can rule it out as a proper way to achieve balance. In Lesser Balance, I tried to remove the need to amplify with Mirage States, but I have to copy elements either way. Therefore, Greater and Lesser both used Mirage States to construct their balances. When, how, and for what result I should use these paths to achieve balances are not entirely understood. I've practiced with many balanced types, but there is still room for Paths' applications.
 
Extras:
Some Path Application
Some Path Applications.
Some Path Application
Some Path Application.

All values and quantities are accounted for. When I examine interactions within the entity's quality, it reveals these types of interactions that occur between its mirage states and original states. Oblique lines, ,which are pseudo versions of 3D's right and left, emerge from adding vectors. One can carefully add and multiply each cells. Cell is really appropriate here it seems. Finally, If I increase or incur changes in Biased Oriented Time, changes in directional time and its mirages should occur. It's now possible for an entity to fill these gaps generated by minimum to maximum balances. Direct and indirect interactions by other entities and elements (one dimensional) can fill these gaps via exchange. What and how fillings occur will depend on which threshold of balance receiving and sharing entities are in. Changes in Biased Oriented Time's magnitude can cause imbalances that produce one dimensional directional time elements. These one dimensional directional potentials, might not fill 2D's balance gaps thus size, but they can give the object more directional potential in one direction. At least, that's how the theory goes for now. It might be easier to separate Dominant Directional Time's potential from Biased Oriented Time for clarity purpose only because all Directional Time come with Biased Oriented Time.    


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