Tuple

In mathematics, a tuple is a finite ordered list (sequence) of elements. An -tuple is a

sequence

(or ordered list) of elements, where is a non-negative integer. There is only one 0-tuple, referred to as ''the empty tuple''. An -tuple is defined inductively using the construction of an

ordered pair

.

Mathematicians usually write tuples by listing the elements within parentheses "" and separated by commas; for example, denotes a 5-tuple. Sometimes other symbols are used to surround the elements, such as square brackets "nbsp; or angle brackets "⟨ ⟩". Braces "" are used to specify arrays in some programming languages but not in mathematical expressions, as they are the standard notation for sets. The term ''tuple'' can often occur when discussing other mathematical objects, such as vectors.

In computer science, tuples come in many forms. Most typed functional programming languages implement tuples directly as product types, tightly associated with algebraic data types, pattern matching, and destructuring assignment. Many programming languages offer an alternative to tuples, known as record types, featuring unordered elements accessed by label. A few programming languages combine ordered tuple product types and unordered record types into a single construct, as in C structs and Haskell records. Relational databases may formally identify their rows (records) as ''tuples''.

Tuples also occur in relational algebra; when programming the

semantic web

with the Resource Description Framework (RDF); in

linguistics

; and in

philosophy

.

Etymology

The term originated as an abstraction of the sequence: single, couple/double, triple, quadruple, quintuple, sextuple, septuple, octuple, ..., ‑tuple, ..., where the prefixes are taken from the

Latin

names of the numerals. The unique 0-tuple is called the null tuple or empty tuple. A 1‑tuple is called a single (or singleton), a 2‑tuple is called an ordered pair or couple, and a 3‑tuple is called a triple (or triplet). The number can be any nonnegative integer. For example, a

complex number

can be represented as a 2‑tuple of reals, a

quaternion

can be represented as a 4‑tuple, an octonion can be represented as an 8‑tuple, and a sedenion can be represented as a 16‑tuple.

Although these uses treat ''‑uple'' as the suffix, the original suffix was ''‑ple'' as in "triple" (three-fold) or "decuple" (ten‑fold). This originates from medieval Latin ''plus'' (meaning "more") related to Greek ‑πλοῦς, which replaced the classical and late antique ''‑plex'' (meaning "folded"), as in "duplex".

Names for tuples of specific lengths

Note that for $n \geq 3$, the tuple name in the table above can also function as a verb meaning "to multiply he direct objectby $n$"; for example, "to quintuple" means "to multiply by 5". If $n = 2$, then the associated verb is "to double". There is also a verb "sesquiple", meaning "to multiple by 3/2". Theoretically, "monuple" could be used in this way too.

Properties

The general rule for the identity of two -tuples is
: $(a_1, a_2, \ldots, a_n) = (b_1, b_2, \ldots, b_n)$ if and only if $a_1=b_1,\texta_2=b_2,\text\ldots,\texta_n=b_n$.

Thus a tuple has properties that distinguish it from a set:
# A tuple may contain multiple instances of the same element, so
tuple $(1,2,2,3) \neq (1,2,3)$; but set $\ = \$.
# Tuple elements are ordered: tuple $(1,2,3) \neq (3,2,1)$, but set $\ = \$.
# A tuple has a finite number of elements, while a set or a multiset may have an infinite number of elements.

Definitions

There are several definitions of tuples that give them the properties described in the previous section.

Tuples as functions

The $0$-tuple may be identified as the empty function. For $n \geq 1,$ the $n$-tuple $\left(a_1, \ldots, a_n\right)$ may be identified with the (

surjective

)

function

:$F ~:~ \left\ ~\to~ \left\$

with domain
:$\operatorname F = \left\ = \left\$

and with

codomain

:$\operatorname F = \left\,$

that is defined at $i \in \operatorname F = \left\$ by
:$F(i) := a_i.$

That is, $F$ is the function defined by
:$\begin 1 \;&\mapsto&&\; a_1 \\ \;&\;\;\vdots&&\; \\ n \;&\mapsto&&\; a_n \\ \end$

in which case the equality

:$\left(a_1, a_2, \dots, a_n\right) = \left(F(1), F(2), \dots, F(n)\right)$

necessarily holds.

;Tuples as sets of ordered pairs

Functions are commonly identified with their

graphs

, which is a certain set of ordered pairs.
Indeed, many authors use graphs as the definition of a function.
Using this definition of "function", the above function $F$ can be defined as:

:$F ~:=~ \left\.$

Tuples as nested ordered pairs

Another way of modeling tuples in Set Theory is as nested

ordered pair

s. This approach assumes that the notion of ordered pair has already been defined.
# The 0-tuple (i.e. the empty tuple) is represented by the empty set $\emptyset$.
# An -tuple, with , can be defined as an ordered pair of its first entry and an -tuple (which contains the remaining entries when :
#: $(a_1, a_2, a_3, \ldots, a_n) = (a_1, (a_2, a_3, \ldots, a_n))$
This definition can be applied recursively to the -tuple:
: $(a_1, a_2, a_3, \ldots, a_n) = (a_1, (a_2, (a_3, (\ldots, (a_n, \emptyset)\ldots))))$

Thus, for example:
: $\begin (1, 2, 3) & = (1, (2, (3, \emptyset))) \\ (1, 2, 3, 4) & = (1, (2, (3, (4, \emptyset)))) \\ \end$

A variant of this definition starts "peeling off" elements from the other end:
# The 0-tuple is the empty set $\emptyset$.
# For :
#: $(a_1, a_2, a_3, \ldots, a_n) = ((a_1, a_2, a_3, \ldots, a_), a_n)$
This definition can be applied recursively:
: $(a_1, a_2, a_3, \ldots, a_n) = ((\ldots(((\emptyset, a_1), a_2), a_3), \ldots), a_n)$

Thus, for example:
: $\begin (1, 2, 3) & = (((\emptyset, 1), 2), 3) \\ (1, 2, 3, 4) & = ((((\emptyset, 1), 2), 3), 4) \\ \end$

Tuples as nested sets

Using Kuratowski's representation for an ordered pair, the second definition above can be reformulated in terms of pure set theory:
# The 0-tuple (i.e. the empty tuple) is represented by the empty set $\emptyset$;
# Let $x$ be an -tuple $(a_1, a_2, \ldots, a_n)$, and let $x \rightarrow b \equiv (a_1, a_2, \ldots, a_n, b)$. Then, $x \rightarrow b \equiv \$. (The right arrow, $\rightarrow$, could be read as "adjoined with".)

In this formulation:
: $\begin () & & &=& \emptyset \\ & & & & \\ (1) &=& () \rightarrow 1 &=& \ \\ & & &=& \ \\ & & & & \\ (1,2) &=& (1) \rightarrow 2 &=& \ \\ & & &=& \ \\ & & & & \\ (1,2,3) &=& (1,2) \rightarrow 3 &=& \ \\ & & &=& \ \\ \end$

-tuples of -sets

In discrete mathematics, especially combinatorics and finite probability theory, -tuples arise in the context of various counting problems and are treated more informally as ordered lists of length . -tuples whose entries come from a set of elements are also called ''arrangements with repetition'', '' permutations of a multiset'' and, in some non-English literature, ''variations with repetition''. The number of -tuples of an -set is . This follows from the combinatorial rule of product. If is a finite set of cardinality , this number is the cardinality of the -fold Cartesian power . Tuples are elements of this product set.

Type theory

In type theory, commonly used in

programming language

s, a tuple has a product type; this fixes not only the length, but also the underlying types of each component. Formally:
: $(x_1, x_2, \ldots, x_n) : \mathsf_1 \times \mathsf_2 \times \ldots \times \mathsf_n$
and the projections are term constructors:
: $\pi_1(x) : \mathsf_1,~\pi_2(x) : \mathsf_2,~\ldots,~\pi_n(x) : \mathsf_n$

The tuple with labeled elements used in the relational model has a record type. Both of these types can be defined as simple extensions of the simply typed lambda calculus.

The notion of a tuple in type theory and that in set theory are related in the following way: If we consider the natural model of a type theory, and use the Scott brackets to indicate the semantic interpretation, then the model consists of some sets $S_1, S_2, \ldots, S_n$ (note: the use of italics here that distinguishes sets from types) such that:
: ![\mathsf_1!.html"_;"title="mathsf_1.html"_;"title="![\mathsf_1">![\mathsf_1!">mathsf_1.html"_;"title="![\mathsf_1">![\mathsf_1!=_S_1,~[\![\mathsf_2.html" ;"title="mathsf_1">![\mathsf_1!.html" ;"title="mathsf_1.html" ;"title="![\mathsf_1">![\mathsf_1!">mathsf_1.html" ;"title="![\mathsf_1">![\mathsf_1!= S_1,~[\![\mathsf_2">mathsf_1">![\mathsf_1!.html" ;"title="mathsf_1.html" ;"title="![\mathsf_1">![\mathsf_1!">mathsf_1.html" ;"title="![\mathsf_1">![\mathsf_1!= S_1,~[\![\mathsf_2!] = S_2,~\ldots,~[\![\mathsf_n]\!] = S_n
and the interpretation of the basic terms is:
: [\![x_1]\!] \in ! mathsf_1!~ ![x_2!.html"_;"title="_2.html"_;"title="![x_2">![x_2!">_2.html"_;"title="![x_2">![x_2!\in_[\![\mathsf_2.html" ;"title="_2">![x_2!.html" ;"title="_2.html" ;"title="![x_2">![x_2!">_2.html" ;"title="![x_2">![x_2!\in [\![\mathsf_2">_2">![x_2!.html" ;"title="_2.html" ;"title="![x_2">![x_2!">_2.html" ;"title="![x_2">![x_2!\in [\![\mathsf_2!],~\ldots,~[\![x_n]\!] \in [\![\mathsf_n]\!].

The -tuple of type theory has the natural interpretation as an -tuple of set theory:Steve Awodey
''From sets, to types, to categories, to sets''
2009, preprint
: ![(x_1,_x_2,_\ldots,_x_n)!.html" ;"title="x_1,_x_2,_\ldots,_x_n).html" ;"title="![(x_1, x_2, \ldots, x_n)">![(x_1, x_2, \ldots, x_n)!">x_1,_x_2,_\ldots,_x_n).html" ;"title="![(x_1, x_2, \ldots, x_n)">![(x_1, x_2, \ldots, x_n)!= (\,[\![x_1]\!], ![x_2!], \ldots, [\![x_n]\!]\,)
The unit type has as semantic interpretation the 0-tuple.

See also

* Arity
* Coordinate vector
* Exponential object
* Formal language
* OLAP: Multidimensional Expressions
* Prime ''k''-tuple
* Relation (mathematics)
*

Sequence

* Tuplespace

Notes

References

Sources

*
* Keith Devlin, ''The Joy of Sets''. Springer Verlag, 2nd ed., 1993, , pp. 7–8
* Abraham Adolf Fraenkel, Yehoshua Bar-Hillel, Azriel Lévy,
Foundations of school Set Theory
', Elsevier Studies in Logic Vol. 67, 2nd Edition, revised, 1973, , p. 33
* Gaisi Takeuti, W. M. Zaring, ''Introduction to Axiomatic Set Theory'', Springer GTM 1, 1971, , p. 14
* George J. Tourlakis,
Lecture Notes in Logic and Set Theory. Volume 2: Set Theory
', Cambridge University Press, 2003, , pp. 182–193

External links

*

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