#numerical

Numerology Notes

• Most master numbers (11, 22, 33) don’t pass their incarnations. Especially 33’s because too much power comes with a lot of responsibility

• There’s no such thing as “the best/worst number” in numerology just like there’s no such things as the “best/worst sign” in astrology. There’s good and bad to all of the numbers

• 5’s/9’s are the most likely to be relationship wreckers

• 8’s hate spending money unless it’s on people they love

• 9’s, 19’s, 22’s, and 33’s are extremely powerful manifestors

• 5’s need their freedom to be happy similar to Aquarius or Sagittarius energy

• 3’s cry a lot as babies

• 1’s/8’s typically don’t like others being dominant over them but an 8 might let it happen for money

• 22’s would be happy living near water (example: living by the beach or a lake)

• 4’s are insecure a lot of the time but if they’re at a higher vibration they’re just humble

• 6’s are very caring people

• 7’s and 8’s are often best friends but won’t work out in the long run cuz they’re enemy numbers

susan = 10 000

barbara = 480

ian = 177

vicki = 91

steven = 1130

katarina = ℯ²-ℯ

dodo = 36

ben = 1760

polly = 42 780

jamie = 2

victoria = 827

zoe = 3n+1

alistair = 410

liz = log₂3

benton = 10

yates = -9

jo= 208 271

sarah jane= 0330 100 0601

harry = 8.73

leela= 538

romana 1 = 1 x 10^700

romana 2 = 1 x 10^800 + 44

adric = π

nyssa = 4109

tegan = 42

turlough = -268

peri = 1622

mel = 74

ace = 100 gazillion

grace = 26 040

rose = 210 000

adam = -3014,671

mickey = 2818

martha = 42 110

donna = 13

jack = 201 520

amy = 11 200

rory = -1078

clara = 874

river = 31 419

nardole = 5610

bill = 266

graham = 830,012

ryan = 39

yasmin = 3 424 218

dan = 1999

The basin of attraction in a dynamic manifold constitutes all possible initial conditions from which trajectories can start to explore the attractor in a coordinate phase space. These trajectories do not cross themselves usually and continue to trace dense orbits in the attractor inside the manifold. In certain manifolds, such as chaotic ones, they are characterized by sensitivity to their formation initial conditions so that they diverge rapidly from each other since that formation.

This process represented in essence a qualitative description of how dynamical systems evolve where classical descriptions, that included continuous mathematics such as calculus, provided the quantitative description most of the time in the form of analytical solutions. Then the need to conduct machine-based analysis brought about numerical techniques with varied degrees of accuracy but that relied on discrete, rather than continuous, mathematics.

Chaos theory was reborn again through such numerical analyses to provide not only qualitative treatment, but it came with an added set of mathematical tools that described natural phenomena and reproduced some of the important solutions found using classical mathematics. In addition, this numerical formulation of chaos theory allowed for toggling from continuous mathematics to discrete one, thereby giving an advantage when communicating in machine language to carry out computing jobs.

However, such communicating requires first the realization that the continuous form of chaotic attractors in their phase space must be discretized. So, these trajectories can by "discretized" into numerics before communicating their data to the computer. Many techniques exist to achieve this including the "collapse" of such continuous formulation into either a "fixed-point" or a "limit cycle". The first type is just one data point that does not change with mapping but reveals system stability, whereas the second formation is a confined regular attractor vs. the original so-called "strange attractor".

Strange attractor - it is a complex, fractal-shaped set of numerical values in a chaotic dynamical system that attracts nearby trajectories over time. Unlike simple attractors (points or loops), they exhibit extreme sensitivity to initial conditions leading to unpredictable, non-repeating behavior.

Nowadays, the dual utilization of qualitative and computational analyses of chaos theory gave it an advantage to understand many concepts over diverse disciplines that includes traditionally non-technological topics such as literary texts and societal sciences. In these contexts, in particularly, the terminology used in describing chaos theory concepts give direct access to further analyze them technically.

Figure: fixed points of functions in the complex plane commonly lead to patterned chaos fractal structures. The plots on the left color the value of the fixed point and on the right, they present the number of iterations to reach a fixed point for the Sine function.

Prise nocturne du lampadaire

Canon 5D Mark III