Number Systems
Background: Number Systems is a post to explore number systems in general and for use in the
physical and computational sciences.
Post 8.3
Natural Events in Fibonacci Number Space
Parallel Processing Algorithms
Posts 1 – 8 have established:
1 𝐷 = (1 +
𝛾∞
𝑓
𝑇𝐷
)
−1
(1 +
𝛾 𝐷
𝑓
𝑇𝐷
)
+1
For natural events, this definition should correlate to the Bernoulli base of natural logarithms:
∫
1
𝑥
𝑑𝑥
𝑒
1
= 1 where lim
𝑛→∞
(1 +
1
𝑛
)
𝑛
= 𝑒
A mathematical description of nature should not be accurate unless the number system complies
with both natural conditions of the number one shown above. It has been shown:
6.6260700 E -34 = 6.6260700 x (1 − 𝑅 𝐸
3
1⁄
5
2⁄
) x 10 -34
From posts 2 and 3, we could also write:
6.6260700 E-34 = 6.6260700 x (1∞ − 𝑅 𝐸
𝑓{3}
) x 10-34
A natural example:
1
𝑐3
2 =
1
35
2 𝑥 10−16
meter-2 sec+2
For F(n) = 4 where D = 5:
15 = (1 +
𝛾∞
𝑓
𝑇5→13
)
−1
(1 +
𝛾5
𝑓
𝑇5→13
)
+1
∫
1
𝑥
𝑒3
1
𝑑𝑥 = 1 𝑤ℎ𝑒𝑟𝑒 lim
𝑛→∞
(1 +
1
𝑛
)
𝑛
= 𝑒3 = 𝑒
ℎ = ℎ3 = 𝑏3 𝐸 𝐵 𝑥 𝑘𝑎𝑝𝑝𝑎 𝑤ℎ𝑒𝑟𝑒 𝐸 = (𝑚𝑎 𝑔)𝑥𝑏3
h = 6.6260700 E-34 = 6.6260700 x (1∞ − 𝑅 𝐸
𝑓{3}
) x 10-34
meter+2 kg+1 sec-1
𝒘𝒉𝒆𝒓𝒆 𝒂 𝒈 = 𝒈
when g = gEarthSurface <g units: acceleration+1 second+2>
Define
𝐸 𝐵 =
𝐸
𝑚
𝑥
1
𝑏_3
3
𝐸
𝐸 𝐵
= 𝑚𝑏_3
3
𝐸
𝐸 𝐵
= 𝑚𝑉3
𝐸
𝐸 𝐵
= 𝑚𝑉𝐵
To be rigorous, the numerical value of hν should be the value hν = hν(r) while physical results at
spatial location r from a center of mass should be dimensionless.
The arithmetic statement
1 𝐷 = (1 +
𝛾∞
𝑓
𝑇𝐷
)
−1
(1 +
𝛾 𝐷
𝑓
𝑇𝐷
)
+1
1
𝑐3
2 =
1
35
2 𝑥 10−16
𝑏3 =
1∞
35
2 𝐸 − (8+1
𝑥 2+1
)
𝑏3 =
1∞
𝑐𝐷+_1𝐷
𝐷−_1𝐷
Post 8.3.1 is intended to further clarify parallel processing through algorithms using Fibonacci
Number Space.

Post_Number Systems_8.3

  • 1.
    Number Systems Background: NumberSystems is a post to explore number systems in general and for use in the physical and computational sciences. Post 8.3 Natural Events in Fibonacci Number Space Parallel Processing Algorithms Posts 1 – 8 have established: 1 𝐷 = (1 + 𝛾∞ 𝑓 𝑇𝐷 ) −1 (1 + 𝛾 𝐷 𝑓 𝑇𝐷 ) +1 For natural events, this definition should correlate to the Bernoulli base of natural logarithms: ∫ 1 𝑥 𝑑𝑥 𝑒 1 = 1 where lim 𝑛→∞ (1 + 1 𝑛 ) 𝑛 = 𝑒 A mathematical description of nature should not be accurate unless the number system complies with both natural conditions of the number one shown above. It has been shown: 6.6260700 E -34 = 6.6260700 x (1 − 𝑅 𝐸 3 1⁄ 5 2⁄ ) x 10 -34 From posts 2 and 3, we could also write: 6.6260700 E-34 = 6.6260700 x (1∞ − 𝑅 𝐸 𝑓{3} ) x 10-34 A natural example: 1 𝑐3 2 = 1 35 2 𝑥 10−16 meter-2 sec+2 For F(n) = 4 where D = 5: 15 = (1 + 𝛾∞ 𝑓 𝑇5→13 ) −1 (1 + 𝛾5 𝑓 𝑇5→13 ) +1 ∫ 1 𝑥 𝑒3 1 𝑑𝑥 = 1 𝑤ℎ𝑒𝑟𝑒 lim 𝑛→∞ (1 + 1 𝑛 ) 𝑛 = 𝑒3 = 𝑒 ℎ = ℎ3 = 𝑏3 𝐸 𝐵 𝑥 𝑘𝑎𝑝𝑝𝑎 𝑤ℎ𝑒𝑟𝑒 𝐸 = (𝑚𝑎 𝑔)𝑥𝑏3
  • 2.
    h = 6.6260700E-34 = 6.6260700 x (1∞ − 𝑅 𝐸 𝑓{3} ) x 10-34 meter+2 kg+1 sec-1 𝒘𝒉𝒆𝒓𝒆 𝒂 𝒈 = 𝒈 when g = gEarthSurface <g units: acceleration+1 second+2> Define 𝐸 𝐵 = 𝐸 𝑚 𝑥 1 𝑏_3 3 𝐸 𝐸 𝐵 = 𝑚𝑏_3 3 𝐸 𝐸 𝐵 = 𝑚𝑉3 𝐸 𝐸 𝐵 = 𝑚𝑉𝐵 To be rigorous, the numerical value of hν should be the value hν = hν(r) while physical results at spatial location r from a center of mass should be dimensionless. The arithmetic statement 1 𝐷 = (1 + 𝛾∞ 𝑓 𝑇𝐷 ) −1 (1 + 𝛾 𝐷 𝑓 𝑇𝐷 ) +1 1 𝑐3 2 = 1 35 2 𝑥 10−16 𝑏3 = 1∞ 35 2 𝐸 − (8+1 𝑥 2+1 ) 𝑏3 = 1∞ 𝑐𝐷+_1𝐷 𝐷−_1𝐷 Post 8.3.1 is intended to further clarify parallel processing through algorithms using Fibonacci Number Space.