File:Penplot.jpg: Difference between revisions

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== Summary ==
== Summary ==
{{Image_Details|user
Importing file
|description  = plot of the [[natural pension]] <math>\mathrm{pen}=\mathrm{pen}_{\mathrm e}</math>, id set, [[pentation]] to base <maht>\mathrm e=\exp(1)\approx 2.71</math>, id set, [[pentation]] to base <math>\mathrm e=\exp(1)\approx 2.71</math>; the thik black curve shows <math>y=\mathrm{pen}(x)</math>; the thik black curve shows <math>y=\mathrm{pen}(x)</math>
|author      = [[User:Dmitrii Kouznetsov|Dmitrii Kouznetsov]]
|date-created = 2014
|pub-country  = Japan, Germany
|notes        = The thin curves show the two asymptotics of pentation and the error of the linear approximation
|versions    = http://mizugadro.mydns.jp/t/index.php/File:Penplot.jpg
}}
== Licensing ==
{{CC|by|3.0}}
==Description==
[[Pentation]] pen is [[superfunction]] of [[tetration]] to the same base. Natural pentation is solution $F$ of the [[transfer equation]]
 
<math>
F(z\!+\!1)=\mathrm{tet}\Big( F(z))
</math>
 
constructed with [[regular iteration]] at the smallest real [[fixed point]]  <math>L</math> of [[tetration]]; <math>L\approx -1.8503545290271812</math> is solution of equation
 
<math>L=\mathrm{tet}(L)</math>
 
with additional condition <math>F(0)=1</math>.
 
The real-real plot <math>y=\mathrm {pen}(x)</math> is shown with thick black curve.
 
The thin curves show approximations of pentation.
 
The red horizontal line shows the fixed point of tetration, <math>y=L</math>.
 
The thin blue curve shows the asymptotic of pentation at large negative values of the real part of the argument,
 
<math>
y= L+\exp(k(x+x_1))
</math>
 
where  <math>k\approx 1.86573322821</math>
 
and <math>x_1 \approx 2.24817451898</math>
 
The thin green line shown the deviation from the linear approximation
 
<math>\mathrm{linear}(x)=1+x</math>
 
The deviation is denoted as <math>~\delta(x)=\mathrm{pen}(x)-\mathrm{linear}(x)</math>
 
In the range <math>-2.1\!<\!x\!<\!1.1</math>, the deviation is small, the linear approximation provides 2 correct significant digits. In order to make the deviation visible, it is scaled with factor 10, so, <math>y=10\delta(x)</math> is plotted.

Latest revision as of 19:52, 11 March 2022

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