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In mathematics, a tuple is a finite sequence of numbers. More generally, it is a sequence of mathematical objects, called the elements of the tuple. An n-tuple is a tuple of n elements, where n is a non-negative integer. There is only one 0-tuple, called the empty tuple. A 1-tuple and a 2-tuple are commonly called a singleton and an ordered pair, respectively. The term "infinite tuple" is occasionally used for "infinite sequences".

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 ‑tuple 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". ==Properties==
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,\text{ }a_2=b_2,\text{ }\ldots,\text{ }a_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 \{1,2,2,3\} = \{1,2,3\}. • Tuple elements are ordered: tuple (1,2,3) \neq (3,2,1), but set \{1,2,3\} = \{3,2,1\}. • A tuple has a finite number of elements, while a set or a multiset may have an infinite number of elements. ==Definitions==
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\{ 1, \ldots, n \right\} ~\to~ \left\{ a_1, \ldots, a_n \right\} with domain :\operatorname{domain} F = \left\{ 1, \ldots, n \right\} = \left\{ i \in \N : 1 \leq i \leq n\right\} and with codomain :\operatorname{codomain} F = \left\{ a_1, \ldots, a_n \right\}, that is defined at i \in \operatorname{domain} F = \left\{ 1, \ldots, n \right\} by :F(i) := a_i. That is, F is the function defined by :\begin{alignat}{3} 1 \;&\mapsto&&\; a_1 \\ \;&\;\;\vdots&&\; \\ n \;&\mapsto&&\; a_n \\ \end{alignat} 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\{ \left(1, a_1\right), \ldots, \left(n, a_n\right) \right\}. Tuples as nested ordered pairs Another way of modeling tuples in set theory is as nested ordered pairs. 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{align} (1, 2, 3) & = (1, (2, (3, \emptyset))) \\ (1, 2, 3, 4) & = (1, (2, (3, (4, \emptyset)))) \\ \end{align} 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_{n-1}), 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{align} (1, 2, 3) & = (((\emptyset, 1), 2), 3) \\ (1, 2, 3, 4) & = ((((\emptyset, 1), 2), 3), 4) \\ \end{align} 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 \{\{x\}, \{x, b\}\}. (The right arrow, \rightarrow, could be read as "adjoined with".) In this formulation: : \begin{array}{lclcl} () & & &=& \emptyset \\ & & & & \\ (1) &=& () \rightarrow 1 &=& \{\{()\},\{(),1\}\} \\ & & &=& \{\{\emptyset\},\{\emptyset,1\}\} \\ & & & & \\ (1,2) &=& (1) \rightarrow 2 &=& \{\{(1)\},\{(1),2\}\} \\ & & &=& \{\{\{\{\emptyset\},\{\emptyset,1\}\}\}, \\ & & & & \{\{\{\emptyset\},\{\emptyset,1\}\},2\}\} \\ & & & & \\ (1,2,3) &=& (1,2) \rightarrow 3 &=& \{\{(1,2)\},\{(1,2),3\}\} \\ & & &=& \{\{\{\{\{\{\emptyset\},\{\emptyset,1\}\}\}, \\ & & & & \{\{\{\emptyset\},\{\emptyset,1\}\},2\}\}\}, \\ & & & & \{\{\{\{\{\emptyset\},\{\emptyset,1\}\}\}, \\ & & & & \{\{\{\emptyset\},\{\emptyset,1\}\},2\}\},3\}\} \\ \end{array} ==-tuples of -sets ==
{{anchor|n-tuple}}{{math|n}}-tuples of {{math|m}}-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 ==
Type theory
In type theory, commonly used in programming languages, 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{T}_1 \times \mathsf{T}_2 \times \ldots \times \mathsf{T}_n and the projections are term constructors: : \pi_1(x) : \mathsf{T}_1,~\pi_2(x) : \mathsf{T}_2,~\ldots,~\pi_n(x) : \mathsf{T}_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{T}_1]\!] = S_1,~[\![\mathsf{T}_2]\!] = S_2,~\ldots,~[\![\mathsf{T}_n]\!] = S_n and the interpretation of the basic terms is: : [\![x_1]\!] \in [\![\mathsf{T}_1]\!],~[\![x_2]\!] \in [\![\mathsf{T}_2]\!],~\ldots,~[\![x_n]\!] \in [\![\mathsf{T}_n]\!]. The -tuple of type theory has the natural interpretation as an -tuple of set theory: : [\![(x_1, x_2, \ldots, x_n)]\!] = (\,[\![x_1]\!], [\![x_2]\!], \ldots, [\![x_n]\!]\,) The unit type has as semantic interpretation the 0-tuple. For a list of tuple types in programming languages, see Product type#Product types in programming languages. ==See also==
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