Tetration: Difference between revisions
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At <math>b > \exp(1/\mathrm{e})</math> tetration <math>\mathrm{tet}_b(x)</math> grows faster than any exponential function. For this reason the tetration is suggested for the representation of huge numbers in [[mathematics of computation]]. | At <math>b > \exp(1/\mathrm{e})</math> tetration <math>\mathrm{tet}_b(x)</math> grows faster than any exponential function. For this reason the tetration is suggested for the representation of huge numbers in [[mathematics of computation]]. | ||
A number, that cannot be stored as [[floating point]], could be stored as <math>\mathrm{tet}_b(x)</math> for some standard value of <math>b</math> (for example, <math>b=2</math> or <math>b=\mathrm{e}</math>) and relatively moderate value of <math>x</math>. The analytic properties of tetration could be used for the implementation of arithmetic operations without to convert | A number, that cannot be stored as [[floating point]], could be stored as <math>\mathrm{tet}_b(x)</math> for some standard value of <math>b</math> (for example, <math>b=2</math> or <math>b=\mathrm{e}</math>) and relatively moderate value of <math>x</math>. The analytic properties of tetration could be used for the implementation of arithmetic operations with huge numbers without to convert them to the floating point representation. | ||
==Integer values of the argument== | ==Integer values of the argument== |
Revision as of 06:39, 29 October 2008
This article is currently under construction. While, use article from wikipedia http://en.wikipedia.org/wiki/Tetration
Definiton
For real , Tetration on the base is function of complex variable, which is holomorphic at least in the range , bounded in the range , and satisfies conditions
at least within range .
Real values of the arguments
Examples of behavior of this function at the real axis are shown in figure 1 for values , , , and for . It has logarithmic singularity at , and it is monotonously increasing function.
At tetration approaches its limiting value as , and .
At tetration grows faster than any exponential function. For this reason the tetration is suggested for the representation of huge numbers in mathematics of computation. A number, that cannot be stored as floating point, could be stored as for some standard value of (for example, or ) and relatively moderate value of . The analytic properties of tetration could be used for the implementation of arithmetic operations with huge numbers without to convert them to the floating point representation.
Integer values of the argument
For integer , tetration
Etymology
Creation of word tetration is attributed to Englidh mathematician Reuben Louis Goodstein [1] [2].
Piecewice tetration
uxp
Analytic tetration
This section is not yet written. There is non-finished draft at User:Dmitrii Kouznetsov/Analytic Tetration.
Inverse of tetration
See also
References
- ↑ "TETRATION, a term for repeated exponentiation, was introduced by Reuben Louis Goodstein". Earliest Known Uses of Some of the Words of Mathematics, http://members.aol.com/jeff570/t.html
- ↑ R.L.Goodstein (1947). "Transfinite ordinals in recursive number theory". Journal of Symbolic Logic 12.
Free online sources
- http://reglos.de/lars/ffx.html , Lars Kindermann. References about Iterative Roots and Fractional Iteration.
- http://math.eretrandre.org/tetrationforum/index.php , Discussion about tetration
- http://tetration.itgo.com/ Tetration site by Andrew Robbins
- http://www.tetration.org/ Tetration site by Daniel Geisler