Ternary numeral system: Difference between revisions
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'''Ternary''' or ''trinary'' is the [[Base (mathematics)|base]]-{{num|3}} [[numeral system]]. Analogous to a "[[bit]]", a ternary [[numerical digit|digit]] is known as a ''trit'' (''' |
'''Ternary''' or ''trinary'' is the [[Base (mathematics)|base]]-{{num|3}} [[numeral system]]. Analogous to a "[[bit]]", a ternary [[numerical digit|digit]] is known as a ''trit'' ('''tr'''inary dig'''it'''). One trit contains about 1.58496 (<math>\log_2 3</math>) bits of information. Although ''ternary'' most often refers to a system in which the three digits, {{num|0}}, {{num|1}}, and {{num|2}}, are all [[nonnegative integer]]s, the adjective also lends its name to the [[balanced ternary]] system, used in comparison logic and [[ternary computer]]s. |
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== Comparison to other radixes == |
== Comparison to other radixes == |
Revision as of 20:16, 22 June 2009
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Ternary or trinary is the base-3 numeral system. Analogous to a "bit", a ternary digit is known as a trit (trinary digit). One trit contains about 1.58496 () bits of information. Although ternary most often refers to a system in which the three digits, 0, 1, and 2, are all nonnegative integers, the adjective also lends its name to the balanced ternary system, used in comparison logic and ternary computers.
Comparison to other radixes
Compared to decimal and binary
Representations of integer numbers in ternary do not get uncomfortably lengthy as quickly as in binary. For example, decimal 365 corresponds to binary 101101101 (9 digits) and to ternary 111112 (6 digits). However, they are still far less compact than the corresponding representations in bases such as decimal — see below for a compact way to codify ternary using nonary and septemvigesimal.
Ternary | 1 | 2 | 10 | 11 | 12 | 20 | 21 | 22 | 100 |
---|---|---|---|---|---|---|---|---|---|
Binary | 1 | 10 | 11 | 100 | 101 | 110 | 111 | 1000 | 1001 |
Decimal | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Ternary | 101 | 102 | 110 | 111 | 112 | 120 | 121 | 122 | 200 |
Binary | 1010 | 1011 | 1100 | 1101 | 1110 | 1111 | 10000 | 10001 | 10010 |
Decimal | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 |
Ternary | 201 | 202 | 210 | 211 | 212 | 220 | 221 | 222 | 1000 |
Binary | 10011 | 10100 | 10101 | 10110 | 10111 | 11000 | 11001 | 11010 | 11011 |
Decimal | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 |
Ternary | 1 | 10 | 100 | 1 000 | 10 000 |
---|---|---|---|---|---|
Binary | 1 | 11 | 1001 | 1 1011 | 101 0001 |
Decimal | 1 | 3 | 9 | 27 | 81 |
Power | 30 | 31 | 32 | 33 | 34 |
Ternary | 100 000 | 1 000 000 | 10 000 000 | 100 000 000 | 1 000 000 000 |
Binary | 1111 0011 | 10 1101 1001 | 1000 1000 1011 | 1 1001 1010 0001 | 100 1100 1110 0011 |
Decimal | 243 | 729 | 2 187 | 6 561 | 19 683 |
Power | 35 | 36 | 37 | 38 | 39 |
As for rational numbers, ternary offers a convenient way to represent one third (as opposed to its cumbersome representation as an infinite string of recurring digits in decimal); but a major drawback is that, in turn, ternary does not offer a finite representation for the most basic fraction: one half (and thus, neither for one quarter, one sixth, one eighth, one tenth, etc.), because 2 is not a prime factor of the base.
Ternary | 0.111111111111... | 0.1 | 0.020202020202... | 0.012101210121... | 0.011111111111... | 0.010212010212... |
---|---|---|---|---|---|---|
Binary | 0.1 | 0.010101010101... | 0.01 | 0.001100110011... | 0.00101010101... | 0.001001001001... |
Decimal | 0.5 | 0.333333333333... | 0.25 | 0.2 | 0.166666666666... | 0.142857142857... |
Fraction | 1/2 | 1/3 | 1/4 | 1/5 | 1/6 | 1/7 |
Ternary | 0.010101010101... | 0.01 | 0.002200220022... | 0.002110021100... | 0.002020202020... | 0.002002002002... |
Binary | 0.001 | 0.000111000111... | 0.000110011001... | 0.000101110100... | 0.000101010101... | 0.000100111011... |
Decimal | 0.125 | 0.111111111111... | 0.1 | 0.090909090909... | 0.083333333333... | 0.076923076923... |
Fraction | 1/8 | 1/9 | 1/10 | 1/11 | 1/12 | 1/13 |
Sum of the digits in trinary as opposed to binary
Whereas in binary, where the sum of all previous digit values before 2n can be found using the formula 2n-1, in trinary the following formula can be used: (3n-1)/2.
An example is where in binary the fourth digit has a value of 8, the sum of all the binary numbers before 8 can be found out using the above formula as 23-1, which is 7. In trinary the fourth digit has a value of 27 and the sum of all previous trinary numbers can be found out using the above formula, as (33-1)/2, which is 13.
The formula is 3n because we are counting to base 3 and we divide by 2 now because the maximum value of each digit is 2. The general formula for the nth digit it a base-N number is:
Nn
and the sum of previous digits:
(Nn-1)/(N-1)
Compact ternary representation: base 9 and 27
Nonary (base 9, each digit is two ternary digits) or septemvigesimal (base 27, each digit is three ternary digits) is often used, similar to how octal and hexadecimal systems are used in place of binary. Ternary also has a unit similar to a byte, the tryte, which is six ternary digits.
Practical usage
A base-three system is used in Islam to keep track of counting Tasbih to 99 or to 100 on a single hand for counting prayers (as alternative for the Misbaha). The benefit—apart from allowing a single hand to count up to 99 or to 100—is that counting doesn't distract the mind too much since the counter needs only to divide Tasbihs into groups of three.
A rare "ternary point" is used to denote fractional parts of an inning in baseball. Since each inning consists of three outs, each out is considered one third of an inning and is denoted as .1. For example, if a player pitched all of the 4th, 5th and 6th innings, plus 2 outs of the 7th inning, his Innings pitched column for that game would be listed as 3.2, meaning 3⅔. In this usage, only the fractional part of the number is written in ternary form.
Ternary numbers can be used to convey self-similar structures like a Sierpinski Triangle or a Cantor set conveniently. Additionally, it turns out that the ternary representation is useful for defining the Cantor Set and related point sets, because one can define a unique representation for every point. (ie, you do not have non-unique representations for the same number such as .999.. and 1.00...)