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==Polynomial approximation==
==Polynomial approximation==
The [[Taylor expansion]] for the tetration can be written in the usial form:
The [[Taylor series]] for the tetration can be written in the usial form:
:<math>\mathrm{tet}(z)=\sum_{n=0}^{\infty} c_n (z-z_0)^n</math>
:<math>\mathrm{tet}(z)=\sum_{n=0}^{\infty} c_n (z-z_0)^n</math>
where the <math>n</math>th coefficient
where the <math>n</math>th coefficient

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Fig.1. Tetration for , , , and versus .

Tetration is a rapidly growing mathematical function, which was introduced in the 20th century and proposed for the representation of huge numbers in the mathematics of computation. For positive integer values of its argument , tetration on base can be defined with:

For real values of the argument and various values of the base , this is plotted in Fig.1.

Up to year 2008, this function has not been listed among elementary functions, it is not implemented in programming languages and it is not used for the internal representation of data in computers.

In this article, the generalizaiton of tetration for complex (and, in particular, real) values of its argument is described. Tetration is assumed to be a holomorphic function, at least for positive values of the real part of its argument. This tetration is used to construct the holomorphic extension of the iterated exponential for the case of non-integer values of the number of iterations.

Definiton

For real , Tetration on the base is a function of a complex variable, which is holomorphic at least in the range , bounded in the range , and satisfies conditions

at least within the range .

The definition above generalizes the definitions recently suggested for the specific cases of base [1] and [2].

Etymology and place of tetration in the big picture of math

Creation of word tetration is attributed to the English mathematician Reuben Louis Goodstein [3].

The place of tetration in the mathematical analysis can be seen at the strong zoom-out of the big picture of math. Using mathematical notation, the zoom-out of the mathematical analysis can be drawn as follows:

has only one argument and means unitary increment
 ;
 ;
 ;
 ;
 ;

Except the zeroth row, each operation in the sequence above is just a recurrence of operations from the previous row. Operation ++ could be called zeration (although in programming languages it is called increment), addition (or summation) could be called unation, multiplication (or product) could be called duation , exponentiation coluld be called trination. The following operations ( tetration, pentation) have not been used so often, at least up to the year 2008. Although tetration has been given many other names: superexponentiation [4], ultraexponent [5], generalized exponent [6], other names were not applied to the holomorphic extension of tetration, defined in the previous section.

Manipulation with the holomorphic extensions and the inverses of summation, multiplication, exponentiation form the core of the mathematical analysis. The table above shows the place of tetration in the big picture of math, in the penultimate row.

In such a way, the name tetration indicates, that this operation is fourth (id est, tetra) in the hierarchy of operations after summation, multiplication, and exponentiation. In principle, one can define "pentation", "sextation", "septation" in a similar manner, although tetration, perhaps, already has a growth rate fast enough for the requirements of the 21st century.

Real values of the arguments, general view

Examples of behavior of this function at the real axis are shown in figure 1 for values , , , and for . It has a logarithmic singularity at , and it is a monotonic increasing function.

At tetration approaches its limiting value as , and .

Fast growth and application

For tetration grows faster than any exponential function. For this reason tetration has been proposed for the representation of huge numbers in the mathematics of computation[4]. A number that cannot be stored as floating point could be represented 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 can be interpreted as iterated exponential:

and so on; then, the argument of tetration can be interpreted as number of exponentiations of unity. From definition it follows, that

and

Relation with the Ackermann function

At base , tetration is related to the Ackermann function [7]

where Ackermann function is defined for the non-negative integer values of its arguments with equations

The generalization of the 4th Ackermann funciton for the complex values of is described in the preprint [2] . Construction of such holomorphic extension is equivalent to construction of tetration for the base .

Asymptotic behavior and properties of tetration

The analytic extension of tetration grows rapidly along the real axis of the complex -plane, at least for some values of base . However, it does not grow infinitely in the direction of imaginary axis. The asymptotic behavior determines the basic properties of tetration.

The exponential convergence of discrete iteration of logarithm corresponds to the exponential asymptotic behavior

where

,

and are fixed complex numbers, and is eigenvalue of logarithm, solution of equation

.
FIg.2. Graphic solution of equation for (two real solutions, and ), (one real solution ) (no real solutions).

Solutions of this equation are called fixed points of logarithm.

Fixed points of logarithm

Three examples of graphical solution of equation for fixed points of logarithm are shown in figure 2 for , , and .

The black line shows function in the plane. The colored curves show function for cases (red), (green), and (blue).

At , there exist 2 solutions, and .

At there exist one solution .

and , there are no real solutions.

In general,

  • at , there are two real solutions;
  • at , there is one soluition, and
  • at , there exist two solutions, but they are complex.

In particular, at , the solutions are
and
.

At , the solutions are
and
.

At , the solutions are
and
.

Few hundred straightforward iterations of equation (14) are sufficient to get the error smaller than the last decimal digit in the approximations above.

Basic properties

FIg.3. parameters of asymptotic of tetration versus logarithm of the base

The solutions and of equation (14) are plotted in figure 3 versus with thin black lines. Let , and only at , the equality takes place. Basic properties of tetration are determined by the base . The main parameters versus are plotted in figure 3. The thin black solid curve at represents the real part of the solutions and of (14); the thin black dashed curve represents the two options for the imaginary part; the two solutions are complex conjugaitons of each other. Requirement of definition of tetration determine the asymptotic of the solution. Parameter tetermines periodicity of quasi-periodicity of tetration. The two solutions for are shown in figure 3 with green lines.

At both solutons for are real. The negative corresponds to tetration, decaying to the asymptotic value in the direction of real axis; positive corresponds to the solution growing along the real axis. At the real axix, such a solution remains larger than unity; this does not allow to satisfy confition . Therefore, only one negative corresponds to the asymptotic behavior of tetration.

At , both options for are mutually complex conjugate. The real part is shown thif thick green line; one option of the imaginary part is shown with dashed line.

Possibilities for the period (or quasi-period) are shown in Figure 3 with fotted lines. At , only "negative" period corresponds to tetration. At , the periodicity can be achieved only asymptotically; and is quasi-period. The real part of quasi-period is markes with black dotted line; one of two options tor the imaginary part is marked with pink dotted line.

Generally, at , tetration is periodic; the period is pure imaginary.

At , tetration is not periodic, and no exponential asymptotic exist.

, tetration is quasi–periodic, the quasi-period in the upper complex half-plane is conjugate to that in the lower complex half-plane. The larger is base , the shorter is quasi-period. As the quasi-periods are complex conjugated, the quasi-periodicity takes place away from the real axis.

Evaluation of tetration

As the asymptoric of tetration is crutually depend of base in ficinity of value , the evaluation procidure is different foe the cases , , and , and should be considered serapately.

Case

Fig.4. Tetration for

At , the period is imaginary. Period with smallest modulus corresponds to the solution that is unity at the origen of coordinates. For , function is shown in figure 4 with levels of constant real part and levels of constant imaginary part. Levels and levels aew shown with thick lines. Intermediate levels are shown with thin lines. There are branch points at ; the cut lines are . For this value of base, the period

Failed to parse (syntax error): {\displaystyle T=\frac{2\pi}{\ln^2(2)}\approx −17.1431481793548471041794 ~\mathrm{i}} .

There is cut at , ; although the jump at this cut reduces at the increase of . In such a way, the function approaches its limiting value almost everywhere, although there is set of singularities at negiative integer values of .

The solution follows asymptotic at large values of real part of the argument, exponentially approaching the limiting value. In particular, for , this maximum limiting value is in the left hand side of the figure, and to its minimum llimiting value in the right hand side. For , these limiting values are and .

The trace of the solution along the real axis corresponds to the red dotted curve in Figure 1. Other solutions of the recursive equation , that may grow up along the real axis, can be constructed in the similar way, but they do not satisfy criteria formulated in the definition of tetration; in particular, .

Case

(CC) Image: Dmitrii Kouznetsov
Fig.5. Tetration at .

At , the liniting value , and, asymptotically,

The function is shown in figure 5.

Levels are shown with thick black lines.

Levels are shown with thick red lines.

Levels are shown with thick blue lines.

Intermediate levels are shown with thin lines.

There is cut at , , but the hump of the function at the cut reduces as reduces, id est, with increasing of . In suchg a way, everywhere, at , the function approaches its limiting value . almost everywhere, although there is set of singularities at negiative integer values of .

Behavior of this function at real values of argument is shown in Figure 1 with thin solid line. Other solutions of the recursive equation can be constructed in the ximilar way; they may grow up along the real axis, but they do not satisfy criteria formulated in the definition of tetration; in particular, .

Case

(CC) Image: Dmitrii Kouznetsov
Fig.6. Tetration at base and .

At , tetration is asymptotically periodic. It exponentially decays to the fixed points and in th eupper and lower halfplane. This allows to express it through its values along the imaginary axis, using the Cauchi integral. [1].

For the base and tetration is plotted in figure 6. Levels and are drawn with thick lines. The function has logarithmic singulatiry at point -2 and cut at real values of the argument, smaller than -2. In the right hand side, symbols mean huge values that cannot be stored in the conventional floating point representation (logarithm, mantissa). In the upper left and lower left part of eath graphic, the function approaches its asymptotic values and . Function is quasi-periodic; the same fractal structure reproduces again and again at the translation of argument with quasiperiod in the upper halfplane and in the lower halfplane.

There is cut at , . The jump of the function at this cut approaches almost everywhere, although there is set of singularities at negiative integer values of .

Along the real axis, tetration for this values of base is plotted also in figure 1 with thick solid and dashed lines.

Behavior along the real axis

The growth of tetration along the real axis is crutially determient by its base.

At the growth is limited by the minimal of the limiting values . Tetration approaches this limiting value exponentially.

At , the growth is limited by the fixerd point . Tetration approaches this limiting value as rational function.


The growing-up holomorphic solution of equation can be constructed in the similar way also at , but at the real axis, such a solution remains larger than unity, and the condition cannot be satiscied. Therefore, this solution cannot be interpreted as extension of iterative exponentiation for non-integer number of exponentiations; in this sense, such a solution is not a tetration.

Tetration shows explosively-fast growth along the real axis only at values .

Tetration at base e

Holomorphyc tetration on the narutal base is most developed, at least up to yeat 2008. In the rest of this article, it is assumer that although the most of results allow the straightforward extension to the case of real .

Inverse of tetration

(CC) Image: Dmitrii Kouznetsov
Fig.7. kslog in the complex plane.

The inverse of tetration can be performed using the Newton method, solving equation , leading to

.

The inverse function has branchpints and . For the kslog, at base , shown in the figure 7, the cuts are placed horisontaly, along the lines

, .

Due to the symmetry , it is sufficient to plot only half of the complex plane.

(CC) Image: Dmitrii Kouznetsov
Fig.8. Shaded region is image of the upper halfplane at the mapping with kslog function.

The mapping with function kslog is shown in figure 8. For in the shaded region, the relation

takes place. The upper part of the complex plane is mapped into the upper halfplane, and the lower halfplane is mapped to the lower halfplane. The real axis is mapped into the halfline . The fixed points is mapped to imaginary infinity, following the shadower strip.

In figure 8, the images of the grid lines and images of the grid lines are shown. These curves reproduce levels and shown in figure 6 for .

Together, the pair of functions tet and kslog allow to evaluate any iteration (including negative, fractional and even complex) of the exponential finction.

Polynomial approximation

The Taylor series for the tetration can be written in the usial form:

where the th coefficient

is expressed through the derivative of the function. The coefficients of the expansion can be calculated ising the straightforward differentiation of the representation through the Cauchi integral.

Taylor expansion at zero

Fig.N. Approximation of tetration with polynomial of 25th power

For , the calcuation gives the following values

0 = 1
1 ≈ 1.091767351258322138
2 ≈ 0.271483212901696469
3 ≈ 0.212453248176258214
4 ≈ 0.069540376139988952
5 ≈ 0.044291952090474256
6 ≈ 0.014736742096390039
7 ≈ 0.008668781817225539
8 ≈ 0.002796479398385586
9 ≈ 0.001610631290584341
10≈ 0.000489927231484419
11≈ 0.000288181071154065
12≈ 0.000080094612538551
13≈ 0.000050291141793809
14≈ 0.000012183790344901
15≈ 0.000008665533667382
16≈ 0.000001687782319318
17≈ 0.000001493253248573
18≈ 0.000000198760764204
19≈ 0.000000260867356004
20≈ 0.000000014709954143
21≈ 0.000000046834497327
22≈-0.000000001549241666
23≈ 0.000000008741510781
24≈-0.000000001125787310
25≈ 0.000000001707959267

The truncated Taylor series gives the polyomial approximation. In Figure N, the polynomial

is shown in the complex plane.

Levels are shown with thick black curves.
Levels are shown with thin red curves.
Levels are shown with thin thin blue curves.
Levels are shown with thick red curves.
Levels are shown with thick blue curves.
Levels are shown with thick pink curves.
Levels are shown with thin green curves.

In the upper left corner of figure N, the same is shown for function

At the botton, left, the overlap of the upper two images is shown.

At the botton, right, lines of constant modulus and constant phase of holomorphic tetration in the same range.

The good approximation of tetration takes place in the range of order of unity or smaller; the radius of convergence of the series is 2.

Expansion at 3i

Taylor expansion ot tetration developed at 3i, truncated at 30th power, plotted in the complex plane.

Coefficients of the expansion

can be evaluated in the similar way:

The plot of approximation of tetration with the resulting polynomial of 30th power is shown in figure

Asymptotic expansion at large values of the imaginary part of the argument

Fig.As. Deviation of tetration from its asymptotic expansion.

Here only case of base is considered; although the generalization for the case is straghtforward. In this section, the bevavior of tetration is considered for the moderate values of and large values of

At , in the upper halfplane, tetration approach the fixed point of the logarithm. This approach is exponential. Using the exponential

as a small parameter, for some complex constant , the tetration can be estimated as follows:

Substitution of this expression into the equation gives

Value can be found fitting the tetration with function at large values of . Then, the expansion can be written in the form

assuming that and . At given , such a representation indicates the possible approximations of tetration. The deviations od tetration from these approximations are shown in figure Fig.As.

The four plots in fig.As correspond to the four asumptotic approximations. The deviations

,
,
,

are shown in the complex plane with lines of constant phase and constant modulus.

Levels are shown with thick red lines.
Level is shown with thick black lines.
Levels are shown with thick blue lines.
Levels are shown with scratched lines. (these lines reveal the step of sampling used by the plotter).
Levels are shown with thin red lines.
Levels are shown with thin blue lines.
Levels are shown with thin thick black lines.
Level is shown with thick red line.
Levels are shown with thick black lines.
Level is shown with thick red line.
Levels are shown with thick black lines.
Level is shown with thick green line.
Level is shown with thick black line.

The plotter tried to draw also

Level with thick black line and
Level with thin dark green line, which are seen a the upper left hand side corners of the two last pictures, but the precision of evaluation of tetration is not sufficient to plot the smooth lines; for the same reason, the curve for
in the last picture, in the upper right band side looks a little bit irreguler; also, the pattenn in the upper left corner of the last two pictures looks chaotic; the plotter cannot distinguish the function from its asymptotic aproximation.

The figure indicates that, at , , the asymptotic approximation

gives at least 14 correct significant figures. At large values of the imaginary part, this approximation is more precise than the evaluation of tetration through the contour integral.

Approximation of tetration with rational functions

Due to recurrent relation , it is sufficient to approximate tetration in any vertical strip of unit with in the complex plane. Some of such approximations are suggested in [1],

Approximation of slog

Function slog, which is inverse of tetration, allows the approximation with elementary functions.

Taylor expansion

Approximation of slog with polynomial of 16th power from the Taylor expansion at unity.

The Taylor series fot the tetration can be inverted, gining the expansion of the superlogarithm:

.

Approximations for the first 16 coefficients:

The pacial sum with 16 terms (from zero to 16) is plotten in the figure in the complex plane. LInes of the constant real part and the constant imahinary part are drawn.

The radius of convergence of this series is determined by the distance to the closest singulatiry; the representation of witht the Taylor series is valid for

Obviously, it fails at . For this case, the asymptotic expansion can be used.

Expansion at fixed point of logarithm

Fitting of slog with the expansion around .

Superlogarithm can be approximated with expansion [8]

,

where is fixed point of logarithm. This expansion indicates the ways to construct the asymptotic approximations of slog. The coefficients can be expressed from the asymptotical analysis of equation . Also, they can be expressed from the asymptotical estimate of tetration at large values of the imaginary part of the argument. The evaluation of first coefficients gives

These coefficients allow to approximate slog in vicinity of the fixed point of logarithm with function

.

In the figure this is shown in the compled -plane.

Levels are shown with thick black lines.
Levels are shown with thin red lines.
Levels are shown with thin dark green lines.
Levels is shown with thick green line.

(Deviation of this line from the real axis indicates the error of the approximation.)

Level is shown with thick red line
Levels are shown with thin dark blue lines lines.

For comparison, dashed lines show the precise evaluation for some of the levels above for the robust implementation of the slog function as inverse of tetration. While , the deviation of these dashed lines from the levels for function is not seen even at the strong zooming-in of the central part of the figure.

Approximation of slog with elementary functions

Approximation of slog with function fslog.
Numerical test of approximation of slog with function fslog.

The precision of approximation of slog (with fixed precision of the arithmetics used for the tvaluation) can be extended, takung unto account the singularitues of slog at the fixed points. From the asumptotical representation above, one can guess the robust representation for slog:

The coefficients of this expansion are real. The first coefficients:

This representation allows construction of approximations, truncating the series. One of such approximations

is shown in figure in the complex plane. LInes of constant and those of constant are plotted.

The range of approximation of slog with this function is wider than that with the Taylor expasion at unity. The extended range of approcimation allows its validation with the numerical test of identities

The residuals

and

are shown in the figure with levels const. In the voided regions in vicinity of and , the residual is at the level of . (It is difficult to make the residual smaller, using the arithmetics with double complex variables.) This test indicates, that at , the approximation of slog with two the logarithms and the polynomial of 50th power gives at least 9 correct significant figures.

Iterated exponential and

Fig.9. in the complex plane for various .

Pre-historic approach to the iterated exponential

Especially interesting is the case of iteration of natural exponential, id est, . Existence of the fractional iteration, and, in particular, existence of operation was demonstrated in 1950 by H.Kneser. [8]. However, that time, there was no computer facility for the evlauation of such an exotic function that ; perhaps, just absence of an apropriate plotter did not allow Kneser to plot the distribution of fractal exponential function in the complex plane for various values of , shown in Fig.9.

Fig.10. versus

The Implementation through the tetration

Holomorphic tetration allows to extend the iterated exponential

For non-integer values of . It can be defined as

If in the notation the superscript is omitted, it is assumed to be unity; for example . If the subscript is omitted, it is assumed to be Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \mathrm{e}} , id est, Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp^c=\exp_\mathrm{e}^c}

Iterated exponential in the complex plane

Function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle f=\exp^c(z)} is shown in figure 9 with levels of constant real part and levels of constant imaginary part. Levels Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \Re(f)=-3,-2,-1,0,1,2,3,4,5,6,7,8,9} and Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \Im(f)=-3,..14} are drown with thick lines. Red corresponds to a negative value of the real or the imaginaryt part, black corresponds to zero, and blue corresponds to the positeive values. Levels Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \Re(f)=-0.2, -0.4, -0.6, -0.8} are shown with thin red lines. Levels Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \Im(f)= 0.2, 0.4, 0.6, 0.8} are shown with thin green lines. Levels Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \Re(f)=\Re(L)} and Levels Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \Im(f)=\Im(L)} are marked with thick green lines, where Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle L\approx 0.31813150520476413 +1.3372357014306895~ \mathrm{i}} is fixed point of logarithm. At non-integer values of Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle c} , and Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle L^*} are branch points of function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp^c} ; in figure, the cut is placed parallel to the real axis. At Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle c<0} there is an additional cut which goes along the negative part of the real axis. In the figure, the cuts are marked with pink lines.

Iterated exponential of a real argument

For real values of the argument, function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle y=\exp^c(x)} is ploted in figure 10 versus Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle x} for values Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle c=0,\pm 0.1, \pm 0.5, \pm 0.9, \pm 1, \pm 2} .
in programming languages, inverse function of exp is called log.

For logarithm on base e, notation ln is also used. In particular, Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp^{-1}(x)=\ln(x)} , Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp^{-2}(x)=\ln\big(\ln(x)\big)} and so on.

At least for the real and big enough Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle x} , the relation Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp^u\big(\exp^v(x)\big)=\exp^{u+v}(x)} holds, which is qute analogous of relations Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle ux\!+\!vx=(u\!+\!v)x} and . However, at negative Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle u} or negative Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle v} , value Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle x} should be big enough, that Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp^u(x)} and Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp^v(x)} and Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp^{u+v}(x)} are defined, see figure 10. For example, at Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \min(u,v,u\!+\!v)=-2} , we need Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle x\!>\!1} . In particular, at Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle u\!=\!1} , Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle v\!=\!-1} , we have Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp^1\!\big(\exp^{-1}(x)\big)=\exp\!\big(\ln(x)\big)=x} .

Applicaiton of iterated exponential

The iterated exponential, that can be implemented with holomorphic tetration, may have various applicaitons. In particular, The Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \exp_b^c(x)} at </math>0\!<\!c\!<\!1</math> could describe a process that grows faster than any polynomial, but slower than any exponential. In such a way, the iterated exponential, at the proper implementation, should greatley extend the abilities of fast and precise fitting of functions. This is just analogy of function which, at fractal values of Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle a} , may be good for description of a function that grows faster than any linear function but slower than any quadratic function.

Similar functions

WIthdrowal of some of requirements from the definition of tetration allows the huge variety of similar functions.

Entire solutions of Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F(z\!+\!1)=\exp(F(z))}

Withdrowal of the requirement Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F\big(z^*\big)=F(z)^*} and Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F(0)\!=\!1} allows the solution by Kneser [8], which is entire and also could be used to buld up various powers of the exponential; in particular, Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \sqrt{\exp}} . Such entire function is shown in upper part of figure 1c in [1], in order to reveal the asymptotic henavior of holomotphic tetration.

WIthdrowal of condition Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F(0)\!=\!1} allows to construct solutions, similar to the growing tetration, for base Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle 1\!<\!b\!\le\!\exp(1/\mathrm{e})} . Although such solutions cannot be interpreted as generalization of exponential iterated Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z} times, they can be useful for generalization of exponential function.

Non-holomorphic modificaiton of tetration

Fig.11. Almost identical function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle f(z)\!=\! z \!+\! 10^{-9} \sin(2 \pi z)} in the complex Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z\!=\!x\!+\!\mathrm{i} y} plane.
Fig.12. Motified tetration at the complex plane.
Fig.13. Zoom in of fig.12

WIthdrowal of requirement of holomorphicity from the definition of tetration allows functions, which look like the tetration, at least along the real axis. Even the reduction of the range of holomorphism in the requirement allows to consider tetration with modified argument. The modified tetration can be defined as

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \mathrm{tem}(z)=\mathrm{tet}\!\big(J(z)\big)= \mathrm{tet}\!\big(z\!+\! h(z)\big)} ,

where Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle J(z)=z+h(z)} , and is a 1-periodic function. The simple example of such such function is

Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle h(z)=10^{-9}\sin(2 \pi z)}

In this case, along the real axis, the function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle J} is almost identical to its argument; and values of the modified tetration are close to values of tetration. Being plotted at figure 1 or in figure 10, the deviation of such function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle J} from the identity is small, and the deviation of the modified tetration from tetration is also small. If the figures are printed in the real scale, then the defiation of the curves would be of order of atomic size.

However the difference becomes seen at the complex values of the argument. In figure 11, function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle J(z)=z\!+\!h(z)} is plotted in the complex Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z\!=\!x\!+\!\mathrm{i} y} plane. Levels of constant real part and those of constant imajinary part are drawn. In vicinity of the real axis, these lines almost coincide with the gridline; the grid is drawn with step unity and extended one step to the right and one step to the left ftom the graphic. in order to show that it behaves as it if would be a continuation of the plot. At Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle |\Im(z)|\approx 3} , the deviation from the identitcal function becomes visible, and at Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle |\Im(z)|>3} , the Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle J(z)} has many points with real values, including those with various negative integer values. The tetration has cut at negative values of Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z<-2} and singularities there. Therefore, the cuts of the modified tetration are determined by the lines Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle J(z) \le -2 } , and modified tetration unavoidable havs singulatities in points Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z} such that Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle J(z) \in \{ n\in \mathbb{N} ~:~ n<-1 \} } . These singulatities are determined by the function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle h} and do not depend on the base of tetration. In figure 11, the lines Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle J(z)<-2} are seen not only along the real axis, but also at the top and at the bottom of the figure. In such a way, figure 11 shows the cutlines of the mofified tetration. One has no need to evaluate tetration in order to see the margin of the hange of holomorphism of the modified tetration.

In fugure 12, the modified tetration is plotted in the coplex Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z} -plane. The additional cuts are seen in the upper and lower parts of the figure 12. Only within the strip along the real axis, the function is holomorphic. While the amplitude of sinusoidal is of order of Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle 10^{-9}} , the strip of holomorphism is wider than unity, although this sidth slightly reduces along the real axis.

In order to see the behavior of the modified tetration in vivinity of the additional singularities, in fig.13, the sooming-in of the part of figure 12 is shown.The zoom has improved resolution, so, in its turn, it can be zoomed in to the size of the screen of a computer to see the details. In each cell of the grid, the small and deformed image of the central part of the fig.12 appears.

One has no need to evaluate tetration in order to reveal its singulatities outside the real azis. All the solutions Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z} of equation Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z+h(z)=n} for integer Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle n<-1} are singularities (branchpoints) of the modified tetration.

Let Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \mathcal{M}= \{ n\in \mathbb{N}~:~n<-1 \} } .

The following theorem is suggested: For any entire 1-periodic function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle h} such that Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle h(0)\!=\!0} , Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle h} is not a constant, Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle h\big(z^*\big)=h(z)^*~\forall z\in \mathbb{C} } , there exist Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z\in \mathbb{C} : |\Re(z)|\!<\!1~,~ z\!+\!h(z)~ \in \mathcal{M} } .

Although this theorem is not yet proved, the intents to construct at least one example of function, that woud contradict it, were not successful. This theorem is somehow independent from the theory of tetration, but it indicates, that any modified tetration cannot be holomorphic in the range .

Assording to the theorem above, the modified tetration does not satisfy the condition of quasi-periodicity, and does not satisfy the criterion of holomorphism in the definition of tetration. The sequance of cutlines for the epecific example of mofidied tetration is seen in figure 13; the modified tetration is not even continuous. An addition to function Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle h} smome highest sinusoidals brings the discontinuities even closer to the real axis. This indicates, that if in at least one point at the real axis between Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle -\!1} and Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle 1} , some solution Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F} of equations Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F(z\!+\!1)\!=\!\exp(F(z))} , Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F(0)\!=\!1} differs from tetration tet for at least Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle 10^{-9}} , then this solution is not holomorphic in the range Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \{z\in \mathbb{C} : |\Re(z)|<1, |\Im(z)|<4 \}} .

Even small deformation of tetration tet breaks its continuity. Similar reasons in favor of uniqueness tetration are suggested also in [1]. There is only one tetration, that satisfies requirements of the definition, although the rigorous mathematical proof of the uniqueness is still under development.


References

  1. 1.0 1.1 1.2 1.3 1.4 D.Kouznetsov. Solutions of Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F(z+1)=\exp(F(z))} in the complex Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle z} plane. Mathematics of Computation, 2008, in press; preprint: http://www.ils.uec.ac.jp/~dima/PAPERS/analuxp99.pdf Cite error: Invalid <ref> tag; name "k" defined multiple times with different content Cite error: Invalid <ref> tag; name "k" defined multiple times with different content Cite error: Invalid <ref> tag; name "k" defined multiple times with different content
  2. 2.0 2.1 D.Kouznetsov. Ackermann functions of complex argument. Preprint of the Institute for Laser Science, UEC, 2008. http://www.ils.uec.ac.jp/~dima/PAPERS/2008ackermann.pdf Cite error: Invalid <ref> tag; name "k2" defined multiple times with different content
  3. R.L.Goodstein (1947). "Transfinite ordinals in recursive number theory". Journal of Symbolic Logic 12.
  4. 4.0 4.1 P.Walker. Infinitely differentiable generalized logarithmic and exponential functions. Mathematics of computation, 196 (1991), 723-733.
  5. M.H.Hooshmand. ”Ultra power and ultra exponential functions”. Integral Transforms and Special Functions 17 (8), 549-558 (2006)
  6. N.Bromer. Superexponentiation. Mathematics Magazine, 60 No. 3 (1987), 169-174
  7. W.Ackermann. ”Zum Hilbertschen Aufbau der reellen Zahlen”. Mathematische Annalen 99(1928), 118-133.
  8. 8.0 8.1 8.2 H.Kneser. “Reelle analytische L¨osungen der Gleichung Failed to parse (SVG (MathML can be enabled via browser plugin): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \varphi(\varphi(x)) = e^x } und verwandter Funktionalgleichungen”. Journal fur die reine und angewandte Mathematik, 187 (1950), 56-67. Cite error: Invalid <ref> tag; name "kneser" defined multiple times with different content Cite error: Invalid <ref> tag; name "kneser" defined multiple times with different content