Not to be confused with Titration.
In mathematics, tetration (also known as hyper-4) is an iterated exponential, the first hyper operator after exponentiation. The portmanteau word tetration was coined by English mathematician Reuben Louis Goodstein from tetra- (four) and iteration. Tetration is used for the notation of very large numbers, but has few practical applications so its study is part of pure mathematics. Shown here are examples of the first four hyper operators, with tetration as the fourth:
where each operation is defined by iterating the previous one. The peculiarity of the tetration among these operations is that the first three (addition, multiplication and exponentiation) are generalized for complex values of Addition (a+b) can be thought of as being b iterations of the "add one" function applied to a, multiplication (ab) can be thought of as a chained addition involving b numbers a, and exponentiation (ab) can be thought of as a chained multiplication involving b numbers a. Analogously, tetration (ba) can be thought of as a chained power involving b numbers a. The parameter a may be called the base-parameter in the following, while the parameter b in the following may be called the height-parameter (which is integral in the first approach but may be generalized to fractional, real and complex heights, see below)
[edit] Iterated powersNote that when evaluating multiple-level exponentiation, the exponentiation is done at the deepest level first (in the notation, at the highest level). In other words: The convention for iterated exponentiation is to work from the right to the left. Thus,
To generalize the first case (tetration) above, a new notation is needed (see below); however, the second case can be written as Thus, its general form still uses ordinary exponentiation notation. In general, we can use Knuth's up-arrow notation to write a power as [edit] TerminologyThere are many terms for tetration, each of which has some logic behind it, but some have not become commonly used for one reason or another. Here is a comparison of each term with its rationale and counter-rationale.
Tetration is often confused with closely related functions and expressions. This is because many of the terminology that is used with them can be used with tetration. Here are a few related terms:
In the first two expressions a is the base, and the number of as is the height (add one for x). In the third expression, n is the height, but each of the bases are different. Care must be taken when referring to iterated exponentials, as it is common to call expressions of this form iterated exponentiation, which is ambiguous, as this can either mean iterated powers or iterated exponentials. [edit] NotationThe notations in which tetration can be written (some of which allow even higher levels of iteration) include:
One notation above shows that tetration can be written as an iterated exponential function where the initial value is one. As a reminder, iterated exponentials have the general form:
There are not as many notations for iterated exponentials, but here are a few:
[edit] ExamplesIn the following table, most values are too large to write in scientific notation, so iterated exponential notation is employed to express them in base 10. The values containing a decimal point are approximate.
[edit] ExtensionsExtending Consider
For this reason, in the subsections below, various extensions of a function of 2 variables are considered. [edit] Extension to infinitesimal basesSometimes, 00 is taken to be an undefined quantity. In this case, values for This limit holds for negative n, as well. [edit] Extension to complex basesSince complex numbers can be raised to powers, tetration can be applied to bases of the form z = a + bi, where i is the square root of −1. For example, kz where z = i, tetration is achieved by using the principal branch of the natural logarithm, and using Euler's formula we get the relation: This suggests a recursive definition for (k + 1)i = a' + b'i given any ki = a + bi: The following approximate values can be derived:
Solving the inverse relation as in the previous section, yields the expected Such tetration sequences have been studied since the time of Euler but are poorly understood due to their chaotic behavior. Most published research historically has focused on the convergence of the power tower function. Current research has greatly benefited by the advent of powerful computers with fractal and symbolic mathematics software. Much of what is known about tetration comes from general knowledge of complex dynamics and specific research of the exponential map. [edit] Extension to infinite heightsTetration can be extended to heights (b in ba) that are not finite, but infinite. This is because for bases within a certain interval, tetration converges to a finite value as the height tends to infinity. For example, In general, the infinite power tower This may be extended to complex numbers z with the definition: where W(z) represents Lambert's W function. As the limit [edit] Extension to negative heightsTetration can be extended to heights that are negative. Using the relation: (which follows from the definition of tetration), one can derive (or define) values for kn where This confirms the intuitive definition of 1n as simply being n. However, no further values can be derived by further iteration in this fashion, as logn0 is undefined. Similarly, since log11 is also undefined: the derivation above does not hold when n = 1. Therefore, ( − 1)1 must remain an undefined quantity as well. (The figure 01 can safely be defined as 1, however.) [edit] Extension to real heightsAt this time there is no commonly accepted solution to the general problem of extending tetration to the real or complex values of b, although it is an active area of research. Various approaches are mentioned below. For an approach that is still disputed until it has been reviewed further, see ultra exponential function. In general the problem is finding, for any real a > 0, a super-exponential function
The fourth requirement differs from author to author, and between approaches. There are two main approaches to extending tetration to real heights, one is based on the regularity requirement, and one is based on the differentiability requirement. These two approaches seem to be so different that they may not be reconciled, as they produce results inconsistent with each other. Fortunately, any solution that satisfies one of these in an interval of length one can be extended to a solution for all positive real numbers. When A linear approximation (solution to the continuity requirement, approximation to the differentiability requirement) is given by: hence:
and so on. However, it is only piecewise differentiable; at integer values of x the derivative is multiplied by lna. A quadratic approximation (to the differentiability requirement) is given by: which is differentiable for all x > 0, but not twice differentiable. Other, more complicated solutions may be smoother and/or satisfy additional properties. When defining xa for every a, another possible requirement could be that xa is monotonically increasing with a. Other solutions require not just continuity, but differentiability, or even infinite differentiability. Another approach is to define tetration over real heights as the inverse of the super-logarithm, which is its inverse function with respect to the height. [edit] Extension to complex heightsThe existence of an analytic extension of za to complex values of z is not yet established. For a = e, it could be a solution of the functional equation F(z + 1) = exp(F(z)) with the additional conditions that F(0) = 1 and F(z) remains finite as [edit] Super-exponential growthA super-exponential function grows even faster than a double exponential function; for example, if a = 10:
[edit] Approaches to inverse functionsThe inverse functions of tetration are called the super-root (or hyper-4-root), and the super-logarithm (or hyper-4-logarithm). The square super root ssrt(x) which is the inverse function of xx can be represented with the Lambert W function: The super-logarithm slogab is defined for all positive and negative real numbers. The function sloga satisfies:
[edit] See also[edit] References
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