User:Aquatiki/Sandbox

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  1. โ„• โ€“ Natural Numbers โ€“ 1,2,3,โ€ฆ
    Numbers used for counting discrete objects. Equality is determined by direct inspection.
  2. ๐•Ž โ€“ Whole Numbers โ€“ 0,1,2,3,โ€ฆ
    Adds zero, the additive identity. Useful when โ€œnoneโ€ must be distinguished from โ€œdoes not existโ€.
  3. โ„ค โ€“ Integers (German Zahlen) โ€“ โ€ฆ,โˆ’3,โˆ’2,โˆ’1,0,1,2,3,โ€ฆ
    Numbers closed under subtraction. Every number has an additive inverse. Often interpreted as magnitude with direction.
  4. โ„š โ€“ Rational Numbers (quotients)
    Numbers of the form <math>\frac{a}{b}</math> with <math>a,b\in\mathbb{Z}</math> and <math>b\neq0</math>.
    Equality has a finite certificate: <math>\frac{a}{b}=\frac{c}{d} \iff ad=bc</math>.
    Most quantities in the world cannot actually be divided into arbitrary rational parts.

  5. ๐•‚ โ€“ Constructible Numbers (German Konstruierbare)
    Lengths constructible with compass and straightedge. Equivalent to starting from 0 and 1 and allowing <math>+,-,\times,\div</math> and square roots.
    They cannot be exhaustively exhibited as decimals or directly compared.
  6. ๐•† โ€“ Origami Numbers
    Lengths constructible with origami folds or neusis (marked ruler). Equivalent to extending the constructible toolkit to include cube roots.

  7. ๐•Š โ€“ Shifting Root Numbers
    Numbers whose digits can be generated sequentially by classical digit-extraction root algorithms. Each digit is determined exactly and never later revised.
  8. โ„™ โ€“ Polynomial Numbers
    Roots of finite polynomials <math>a_nx^n+\dots+a_1x+a_0=0</math>.
    They can be approximated to arbitrary precision by iterative methods such as Newtonโ€™s method. Earlier digits may occasionally require revision during computation.
  9. ๐”พ โ€“ Geometric Numbers
    Numbers arising from geometric quantities that are visually meaningful but difficult to access numerically. Examples include <math>\pi</math>, <math>\ln 2</math>, and <math>\sin(1)</math>.
    The new additions at this stage are transcendental.
  10. ฮฃ โ€“ Series-defined Numbers
    Numbers defined by infinite sums <math>\sum_{n=0}^{\infty} a_n</math>.
    Stopping after finitely many terms yields a predictable approximation.
  11. ๐•ƒ โ€“ Limit-defined Numbers
    Numbers defined as limits of sequences <math>\lim_{n\to\infty} a_n</math>.
    Each stage recomputes the value from a finite rule.
  12. ๐”ธ โ€“ Arbitrary Algorithmic Numbers
    Numbers defined by any explicit algorithm generating digits or approximations, even if they have no particular geometric or analytic meaning.
  13. ๐•Œ โ€“ Uncomputable Numbers
    Quantities that can be defined logically but whose digits cannot be generated by any algorithm.

  14. ๐”‡ โ€“ Divergent Numbers
    Values assigned to divergent series by summation methods such as Cesร ro, Abel, Hรถlder, or Borel.
    Example: <math>1-1+1-1+\dots =_{\text{Cesร ro}} \tfrac12</math>.
  15. ฮถ โ€“ Zeta Numbers
    Values assigned to divergent sums using analytic continuation, especially through the Riemann zeta function.
    Example: <math>1+2+3+4+\dots =_{\zeta} -\tfrac{1}{12}</math>.
    Ramanujan is the most famous advocate of this interpretation.
  • โ„•โ€“โ„š exhibitable
  • ๐•‚โ€“๐•† geometric
  • ๐•Šโ€“๐•ƒ algorithmic approximation
  • ๐”ธโ€“๐•Œ algorithm / logic
  • ๐”‡โ€“ฮถ regularization