Non-integer base of numeration

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Short description: Number systems with a non-integer radix (base), such as base 2.5

A non-integer representation uses non-integer numbers as the radix, or base, of a positional numeral system. For a non-integer radix β > 1, the value of

[math]\displaystyle{ x = d_n \dots d_2d_1d_0.d_{-1}d_{-2}\dots d_{-m} }[/math]

is

[math]\displaystyle{ \begin{align} x &= \beta^nd_n + \cdots + \beta^2d_2 + \beta d_1 + d_0 \\ &\qquad + \beta^{-1}d_{-1} + \beta^{-2}d_{-2} + \cdots + \beta^{-m}d_{-m}. \end{align} }[/math]

The numbers di are non-negative integers less than β. This is also known as a β-expansion, a notion introduced by (Rényi 1957) and first studied in detail by (Parry 1960). Every real number has at least one (possibly infinite) β-expansion. The set of all β-expansions that have a finite representation is a subset of the ring Z[β, β−1].

There are applications of β-expansions in coding theory (Kautz 1965) and models of quasicrystals (Burdik et al. 1998; Thurston 1989).

Construction

β-expansions are a generalization of decimal expansions. While infinite decimal expansions are not unique (for example, 1.000... = 0.999...), all finite decimal expansions are unique. However, even finite β-expansions are not necessarily unique, for example φ + 1 = φ2 for β = φ, the golden ratio. A canonical choice for the β-expansion of a given real number can be determined by the following greedy algorithm, essentially due to (Rényi 1957) and formulated as given here by (Frougny 1992).

Let β > 1 be the base and x a non-negative real number. Denote by x the floor function of x (that is, the greatest integer less than or equal to x) and let {x} = x − ⌊x be the fractional part of x. There exists an integer k such that βkx < βk+1. Set

[math]\displaystyle{ d_k = \lfloor x/\beta^k\rfloor }[/math]

and

[math]\displaystyle{ r_k = \{x/\beta^k\}.\, }[/math]

For k − 1 ≥  j > −∞, put

[math]\displaystyle{ d_j = \lfloor\beta r_{j+1}\rfloor, \quad r_j = \{\beta r_{j+1}\}. }[/math]

In other words, the canonical β-expansion of x is defined by choosing the largest dk such that βkdkx, then choosing the largest dk−1 such that βkdk + βk−1dk−1x, and so on. Thus it chooses the lexicographically largest string representing x.

With an integer base, this defines the usual radix expansion for the number x. This construction extends the usual algorithm to possibly non-integer values of β.

Conversion

Following the steps above, we can create a β-expansion for a real number [math]\displaystyle{ n \geq 0 }[/math] (the steps are identical for an [math]\displaystyle{ n \lt 0 }[/math], although n must first be multiplied by −1 to make it positive, then the result must be multiplied by −1 to make it negative again).

First, we must define our k value (the exponent of the nearest power of β greater than n, as well as the amount of digits in [math]\displaystyle{ \lfloor n_\beta \rfloor }[/math], where [math]\displaystyle{ n_\beta }[/math] is n written in base β). The k value for n and β can be written as:

[math]\displaystyle{ k = \lfloor \log_\beta(n) \rfloor + 1 }[/math]

After a k value is found, [math]\displaystyle{ n_\beta }[/math] can be written as d, where

[math]\displaystyle{ d_j = \lfloor (n/\beta^j) \bmod \beta \rfloor, \quad n = n-d_j*\beta^j }[/math]

for k − 1 ≥  j > −∞. The first k values of d appear to the left of the decimal place.

This can also be written in the following pseudocode:

function toBase(n, b) {
	k = floor(log(b, n)) + 1
	precision = 8
	result = ""

	for (i = k - 1, i > -precision-1, i--) {
		if (result.length == k) result += "."
		
		digit = floor((n / b^i) mod b)
		n -= digit * b^i
		result += digit
	}

	return result
}

[1]

Note that the above code is only valid for [math]\displaystyle{ 1 \lt \beta \leq 10 }[/math] and [math]\displaystyle{ n \geq 0 }[/math], as it does not convert each digits to their correct symbols or correct negative numbers. For example, if a digit's value is 10, it will be represented as 10 instead of A.

Example implementation code

To base π

   let k = Math.floor(Math.log(num)/Math.log(Math.PI)) + 1;
   if (k < 0) k = 0;
   let digits = [];
   for (let i = k-1; i > (-1*precision)-1; i--) {
       let digit = Math.floor((num / Math.pow(Math.PI, i)) % Math.PI);
       num -= digit * Math.pow(Math.PI, i);
       digits.push(digit);
       if (num < 0.1**(precision+1) && i <= 0)
           break;
   }
   if (digits.length > k)
       digits.splice(k, 0, ".");
   return digits.join("");

}

From base π

  • JavaScript:[1]
    function fromBasePI(num) {
   let numberSplit = num.split(/\./g);
   let numberLength = numberSplit[0].length;
   let output = 0;
   let digits = numberSplit.join("");
   for (let i = 0; i < digits.length; i++) {
       output += digits[i] * Math.pow(Math.PI, numberLength-i-1);
   }
   return output;

}

Examples

Base 2

Base 2 behaves in a very similar way to base 2 as all one has to do to convert a number from binary into base 2 is put a zero digit in between every binary digit; for example, 191110 = 111011101112 becomes 1010100010101000101012 and 511810 = 10011111111102 becomes 10000010101010101010101002. This means that every integer can be expressed in base 2 without the need of a decimal point. The base can also be used to show the relationship between the side of a square to its diagonal as a square with a side length of 12 will have a diagonal of 102 and a square with a side length of 102 will have a diagonal of 1002. Another use of the base is to show the silver ratio as its representation in base 2 is simply 112. In addition, the area of a regular octagon with side length 12 is 11002, the area of a regular octagon with side length 102 is 1100002, the area of a regular octagon with side length 1002 is 110000002, etc…

Golden base

Main page: Golden ratio base

In the golden base, some numbers have more than one decimal base equivalent: they are ambiguous. For example: 11φ = 100φ.

Base ψ

There are also some numbers in base ψ are also ambiguous. For example, 101ψ = 1000ψ.

Base e

With base e the natural logarithm behaves like the common logarithm as ln(1e) = 0, ln(10e) = 1, ln(100e) = 2 and ln(1000e) = 3.

The base e is the most economical choice of radix β > 1 (Hayes 2001), where the radix economy is measured as the product of the radix and the length of the string of symbols needed to express a given range of values.

Base π

Base π can be used to more easily show the relationship between the diameter of a circle to its circumference, which corresponds to its perimeter; since circumference = diameter × π, a circle with a diameter 1π will have a circumference of 10π, a circle with a diameter 10π will have a circumference of 100π, etc. Furthermore, since the area = π × radius2, a circle with a radius of 1π will have an area of 10π, a circle with a radius of 10π will have an area of 1000π and a circle with a radius of 100π will have an area of 100000π.[2]

Properties

In no positional number system can every number be expressed uniquely. For example, in base ten, the number 1 has two representations: 1.000... and 0.999.... The set of numbers with two different representations is dense in the reals (Petkovšek 1990), but the question of classifying real numbers with unique β-expansions is considerably more subtle than that of integer bases (Glendinning Sidorov).

Another problem is to classify the real numbers whose β-expansions are periodic. Let β > 1, and Q(β) be the smallest field extension of the rationals containing β. Then any real number in [0,1) having a periodic β-expansion must lie in Q(β). On the other hand, the converse need not be true. The converse does hold if β is a Pisot number (Schmidt 1980), although necessary and sufficient conditions are not known.

See also

References

Further reading

  • Sidorov, Nikita (2003), "Arithmetic dynamics", in Bezuglyi, Sergey; Kolyada, Sergiy, Topics in dynamics and ergodic theory. Survey papers and mini-courses presented at the international conference and US-Ukrainian workshop on dynamical systems and ergodic theory, Katsiveli, Ukraine, August 21–30, 2000, Lond. Math. Soc. Lect. Note Ser., 310, Cambridge: Cambridge University Press, pp. 145–189, ISBN 978-0-521-53365-2 

External links