=="Hilbert curve" of the "noise grid"== 

 The problem with the "old Wilczekian field" is that it's designed in  many books as a digital chessboard, built by stable "n"-dimensional equal squares, or mono-dimesinal equal squares due to the "holographic principle" (the same result, but the "holographic principle" is were data are kept, the n-dimensional projection is simply a projection). 

 All the above are correct except the fact that "chromodynamic noise" is a form of "noise", thus the "noise grains" are "not continuous" and "not of stable characteristics if relativistically examined (we can probe only in a relativistic manner though)" but their (noise grains) characteristics are both "brobabilistic"(inside a wavefunctional permissible range) and "relativistic"(the other interacting grain particles cause the "dynamic range" of these grains to vary) 

  
 "Noise grains" are the product of random fluctuation of the "grid" ("noise grains" are the "grid"). We can apply "number theory"(pure mathematics) because each "grain" alone is an "integer digit". If relativistically examined via "combinatorics" as a part of a "noise set" each grain "contibutes" to the overall "grid". Even though each "grain" is an "integer digit" when we probe that set via collisions, we will distort it's original properties. 

 The "Nyquist frequency" or "Planck frequency"(same thing) of the "grid"("chromodynamic noise grains"), is half of the sampling rate of a "discrete signal" processing system. The "grid" is not a digitally quantized system, thus the "discrete signal" of the "grid"(void field or noise field) is both "probabilistic" and "relativistic" in a manner I proclaimed above. 

 All particles are "shifting statistics" or "wavefunctions" or "waves". Particles don't cause the "noise grid" to "shift", only the "statistics of the grid" do "shift". 
 "Wavefunction" means "Shifting statistics of the chromodynamic noise grid". 

 A "Hilbert curve" (also known as a Hilbert space-filling curve) is a "continuous" fractal space-filling curve. "Ideal particles" or "long-lasting particles" tend to look like "Hilbert curves", an organized "noise pattern of the grid that statistically makes apparent a particle". 

 "Particle" = "Hilbert curve" of the "noise grid". 
 In nature though, no particle is perfect, thus we need to evolve a "non-continuous" fractal space-filling fragmented curve(s) diffusion. 

 We have to "combine" existing fields of "mathematics" in order we "meliorate" our approach. 

 Frank Wilczek