Tetration Inverse Calculator

Explore inverse tetration and super-logarithms. Enter a tower base and target value to estimate the height of the power tower and examine the calculation steps.

Calculate Inverse Tetration

The super-logarithm is the inverse operation of tetration. Given a base a and a target x, this calculator investigates the height h satisfying a ↑↑ h = x.

Enter a positive real base greater than 1.
The value whose tetration height you want to investigate.
Controls the numerical matching tolerance.
Maximum number of integer tower levels to evaluate.

What Is Inverse Tetration?

Tetration is repeated exponentiation. Inverse tetration asks how many levels of exponentiation are needed to produce a particular value.

a ↑↑ h = x
sloga(x) = h

The function slog is called the super-logarithm. It is analogous to the ordinary logarithm, which reverses exponentiation. The super-logarithm reverses tetration.

Example: Base 2

2 ↑↑ 1 = 2
2 ↑↑ 2 = 4
2 ↑↑ 3 = 16
2 ↑↑ 4 = 65,536

Therefore:

slog2(16) = 3

Super-Logarithm and Ordinary Logarithm

The ordinary logarithm reverses exponentiation:

loga(x) = y   ⇔   ay = x

The super-logarithm reverses tetration:

sloga(x) = h   ⇔   a ↑↑ h = x

Integer and Fractional Heights

Integer tetration heights have a direct definition as finite power towers. Fractional heights require an extension of tetration between integer levels.

There is no single universally mandatory fractional-tetration convention. This calculator therefore reports exact integer matches separately and uses linear interpolation only as an explicitly labelled estimate for targets between adjacent integer tower values.

Numerical Limitations

Power towers grow very quickly for many bases. Ordinary floating-point arithmetic has a finite numerical range and precision. Very tall towers may overflow, and values that are extremely close together may become indistinguishable.

The calculator is intended for supported positive bases greater than 1 and finite positive target values. Its numerical interpolation should not be confused with a rigorously defined analytic super-logarithm.

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