Ternary numeral system

The ternary numeral system (also called base 3) has three as its base. Analogous to a bit, a ternary digit is a trit (trinary digit). One trit is equivalent to log2 3 (about 1.58496) bits of information.

Although ternary most often refers to a system in which the three digits are all non–negative numbers, specifically 0, 1, and 2, the adjective also lends its name to the balanced ternary system, comprising the digits −1, 0 and +1, used in comparison logic and ternary computers.

Comparison to other bases

A ternary multiplication table
×12101112202122100
112101112202122100
22112022101110112121200
1010201001101202002102201000
111122110121202220100110121100
12121011202022211010102211111200
202011020022010101100112012102000
2121112210100110221120121120022100
2222121220101211111210200221012200
10010020010001100120020002100220010000

Representations of integer numbers in ternary do not get uncomfortably lengthy as quickly as in binary. For example, decimal 365 or senary 1405 corresponds to binary 101101101 (nine digits) and to ternary 111112 (six 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.

Numbers from 1 to 33 in standard ternary
Ternary 12101112202122100
Binary 1101110010111011110001001
Senary 1234510111213
Decimal 123456789
Ternary 101102110111112120121122200
Binary 101010111100110111101111100001000110010
Senary 141520212223242530
Decimal 101112131415161718
Ternary 2012022102112122202212221000
Binary 100111010010101101101011111000110011101011011
Senary 313233343540414243
Decimal 192021222324252627
Powers of 3 in ternary
Ternary 110100100010000
Binary 1111001110111010001
Senary 131343213
Decimal 1392781
Power 3031323334
Ternary 1000001000000100000001000000001000000000
Binary 1111001110110110011000100010111100110100001100110011100011
Senary 104332131404350213231043
Decimal 2437292187656119683
Power 3536373839

As for rational numbers, ternary offers a convenient way to represent 1/3 as same as senary (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 1/2 (nor for 1/4, 1/8, etc.), because 2 is not a prime factor of the base; as with base two, one-tenth (decimal1/10, senary 1/14) is not representable exactly (that would need e.g. decimal); nor is one-sixth (senary 1/10, decimal 1/6).

Fractions in ternary
Fraction 1/21/31/41/51/61/71/81/91/101/111/121/13
Ternary 0.10.10.020.01210.010.0102120.010.010.00220.002110.0020.002
Binary 0.10.010.010.00110.0010.0010.0010.0001110.000110.00010111010.00010.000100111011
Senary 0.30.20.130.10.10.050.0430.040.030.03134524210.030.024340531215
Decimal 0.50.30.250.20.160.1428570.1250.10.10.090.0830.076923

Sum of the digits in ternary as opposed to binary

The value of a binary number with n bits that are all 1 is 2n  1.

Similarly, for a number N(b, d) with base b and d digits, all of which are the maximal digit value b  1, we can write:

N(b, d) = (b  1)bd−1 + (b  1)bd−2 + … + (b  1)b1 + (b  1)b0,
N(b, d) = (b  1)(bd−1 + bd−2 + … + b1 + 1),
N(b, d) = (b  1)M.
bM = bd + bd−1 + … + b2 + b1 and
M = −bd−1  bd−2    b1  1, so
bM  M = bd  1, or
M = bd  1/b  1.

Then

N(b, d) = (b  1)M,
N(b, d) = (b  1)(bd  1)/b  1,
N(b, d) = bd  1.

For a three-digit ternary number, N(3, 3) = 33  1 = 26 = 2 × 32 + 2 × 31 + 2 × 30 = 18 + 6 + 2.

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) can be used for compact representation of ternary, similar to how octal and hexadecimal systems are used in place of binary.

Practical usage

In certain analog logic, the state of the circuit is often expressed ternary. This is most commonly seen in CMOS circuits, and also in transistor–transistor logic with totem-pole output. The output is said to either be low (grounded), high, or open (high-Z). In this configuration the output of the circuit is actually not connected to any voltage reference at all. Where the signal is usually grounded to a certain reference, or at a certain voltage level, the state is said to be high impedance because it is open and serves its own reference. Thus, the actual voltage level is sometimes unpredictable.

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 3 23. 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 the Sierpinski triangle or the Cantor set conveniently. Additionally, it turns out that the ternary representation is useful for defining the Cantor set and related point sets, because of the way the Cantor set is constructed. The Cantor set consists of the points from 0 to 1 that have a ternary expression that does not contain any instance of the digit 1.[1][2] Any terminating expansion in the ternary system is equivalent to the expression that is identical up to the term preceding the last non-zero term followed by the term one less than the last nonzero term of the first expression, followed by an infinite tail of twos. For example: 0.1020 is equivalent to 0.1012222... because the expansions are the same until the "two" of the first expression, the two was decremented in the second expansion, and trailing zeros were replaced with trailing twos in the second expression.

Ternary is the integer base with the lowest radix economy, followed closely by binary and quaternary. It has been used for some computing systems because of this efficiency. It is also used to represent three-option trees, such as phone menu systems, which allow a simple path to any branch.

A form of redundant binary representation called balanced ternary or signed-digit representation is sometimes used in low-level software and hardware to accomplish fast addition of integers because it can eliminate carries.[3]

Binary-coded ternary

Simulation of ternary computers using binary computers, or interfacing between ternary and binary computers, can involve use of binary-coded ternary (BCT) numbers, with two bits used to encode each trit.[4][5] BCT encoding is analogous to binary-coded decimal (BCD) encoding. If the trit values 0, 1 and 2 are encoded 00, 01 and 10, conversion in either direction between binary-coded ternary and binary can be done in logarithmic time.[6] A library of C code supporting BCT arithmetic is available.[7]

Tryte

Some ternary computers such as the Setun defined a tryte to be six trits[8] or approximately 9.5 bits (holding more information than the de facto binary byte).[9]

See also

References

  1. Soltanifar, Mohsen (2006). "On A sequence of cantor Fractals". Rose Hulman Undergraduate Mathematics Journal. 7 (1). Paper 9.
  2. Soltanifar, Mohsen (2006). "A Different Description of A Family of Middle–α Cantor Sets". American Journal of Undergraduate Research. 5 (2): 9–12.
  3. Phatak, D. S.; Koren, I. (1994). "Hybrid signed–digit number systems: a unified framework for redundant number representations with bounded carry propagation chains" (PDF). IEEE Transactions on Computers. 43 (8): 880–891. CiteSeerX 10.1.1.352.6407. doi:10.1109/12.295850.
  4. Frieder, Gideon; Luk, Clement (February 1975). "Algorithms for Binary Coded Balanced and Ordinary Ternary Operations". IEEE Transactions on Computers. C-24 (2): 212–215. doi:10.1109/T-C.1975.224188.
  5. Parhami, Behrooz; McKeown, Michael (2013-11-03). "Arithmetic with Binary-Encoded Balanced Ternary Numbers". Proceedings 2013 Asilomar Conference on Signals, Systems and Computers. Pacific Grove, CA, USA: 1130–1133.
  6. Jones, Douglas W. (June 2016). "Binary Coded Ternary and its Inverse".
  7. Jones, Douglas W. (2015-12-29). "Ternary Data Types for C Programmers".
  8. Impagliazzo, John; Proydakov, Eduard (2011-09-06). Perspectives on Soviet and Russian Computing: First IFIP WG 9.7 Conference, SoRuCom 2006, Petrozavodsk, Russia, July 3—7, 2006, Revised Selected Papers. Springer. ISBN 978-3-64222816-2.
  9. Brousentsov, N. P.; Maslov, S. P.; Ramil Alvarez, J.; Zhogolev, E. A. "Development of ternary computers at Moscow State University". Retrieved 2010-01-20.

Further reading

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