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Set (mathematics)

From Wikipedia, the free encyclopedia
This article is about sets themselves. For the branches of mathematics studying sets, seeNaive set theory andSet theory.
Collection of mathematical objects
A set of polygons in anEuler diagram
This set equals the one above since they have the same elements.

Inmathematics, aset is a collection of different things; the things areelements ormembers of the set and are typicallymathematical objects: numbers, symbols, points in space, lines, othergeometric shapes, variables, or other sets. A set may befinite orinfinite. There is a unique set with no elements, called theempty set; a set with a single element is asingleton.

Sets are ubiquitous in modern mathematics. Indeed,set theory, more specificallyZermelo–Fraenkel set theory, has been the standard way to provide rigorousfoundations for all branches of mathematics since the first half of the 20th century.

Context

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Before the end of the 19th century, sets were not studied specifically, and were not clearly distinguished fromsequences. Most mathematicians consideredinfinity aspotential—meaning that it is the result of an endless process—and were reluctant to considerinfinite sets, that is sets whose number of members is not anatural number. Specifically, aline was not considered as the set of its points, but as alocus where points may be located.

The mathematical study of infinite sets began withGeorg Cantor (1845–1918). This provided some counterintuitive facts and paradoxes. For example, thenumber line has aninfinite number of elements that is strictly larger than the infinite number ofnatural numbers, and anyline segment has the same number of elements as the whole space. Also,Russell's paradox implies that the phrase "the set of all sets" is self-contradictory.

Together with other counterintuitive results, this led to thefoundational crisis of mathematics, which was eventually resolved with the general adoption ofZermelo–Fraenkel set theory as a robust foundation ofset theory and all mathematics.

Meanwhile, sets started to be widely used in all mathematics. In particular,algebraic structures andmathematical spaces are typically defined in terms of sets. Also, many older mathematical results are restated in terms of sets. For example,Euclid's theorem is often stated as "theset of theprime numbers is infinite". This wide use of sets in mathematics was prophesied byDavid Hilbert when saying: "No one will drive us from theparadise which Cantor created for us."[1]

Generally, the common usage of sets in mathematics does not require the full power of Zermelo–Fraenkel set theory. In mathematical practice, sets can be manipulated independently of thelogical framework of this theory.

The object of this article is to summarize the manipulation rules and properties of sets that are commonly used in mathematics, without reference to any logical framework. For the branch of mathematics that studies sets, seeSet theory; for an informal presentation of the corresponding logical framework, seeNaive set theory; for a more formal presentation, seeAxiomatic set theory andZermelo–Fraenkel set theory.

Basic notions

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In mathematics, a set is a collection of different things.[2][3][4][5] These things are calledelements ormembers of the set and are typicallymathematical objects of any kind such as numbers, symbols,points in space,lines, othergeometrical shapes,variables,functions, or even other sets.[6][7] A set may also be called acollection or family, especially when its elements are themselves sets; this may avoid the confusion between the set and its members, and may make reading easier. A set may be specified either by listing its elements or by a property that characterizes its elements, such as for the set of theprime numbers or the set of all students in a given class.[8][9][10]

Ifx{\displaystyle x} is an element of a setS{\displaystyle S}, one says thatx{\displaystyle x}belongs toS{\displaystyle S} oris inS{\displaystyle S}, and this is written asxS{\displaystyle x\in S}.[11] The statement "y{\displaystyle y} is not inS{\displaystyle S\,}" is written asyS{\displaystyle y\not \in S}, which can also be read as "y is not inS".[12][13] For example, ifZ{\displaystyle \mathbb {Z} } is the set of theintegers, one has3Z{\displaystyle -3\in \mathbb {Z} } and1.5Z{\displaystyle 1.5\not \in \mathbb {Z} }. Each set is uniquely characterized by its elements. In particular, two sets that have precisely the same elements areequal (they are the same set).[14] This property, calledextensionality, can be written in formula asA=Bx(xAxB).{\displaystyle A=B\iff \forall x\;(x\in A\iff x\in B).}This implies that there is only one set with no element, theempty set (ornull set) that is denoted,{\displaystyle \varnothing ,\emptyset },[a] or{}.{\displaystyle \{\,\}.}[17][18] Asingleton is a set with exactly one element.[b] Ifx{\displaystyle x} is this element, the singleton is denoted{x}.{\displaystyle \{x\}.} Ifx{\displaystyle x} is itself a set, it must not be confused with{x}.{\displaystyle \{x\}.} For example,{\displaystyle \emptyset } is a set with no elements, while{}{\displaystyle \{\emptyset \}} is a singleton with{\displaystyle \emptyset } as its unique element.

A set isfinite if there exists anatural numbern{\displaystyle n} such that then{\displaystyle n} first natural numbers can be put inone to one correspondence with the elements of the set. In this case, one says thatn{\displaystyle n} is the number of elements of the set. A set isinfinite if such ann{\displaystyle n} does not exist. Theempty set is a finite set with0{\displaystyle 0} elements.

All standard number systems are infinite sets

The natural numbers form an infinite set, commonly denotedN{\displaystyle \mathbb {N} }. Other examples of infinite sets includenumber sets that contain the natural numbers,real vector spaces,curves and most sorts ofspaces.

Specifying a set

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Extensionality implies that for specifying a set, one has either to list its elements or to provide a property that uniquely characterizes the set elements.

Roster notation

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Roster orenumeration notation is a notation introduced byErnst Zermelo in 1908 that specifies a set by listing its elements betweenbraces, separated by commas.[19][20][21][22][23] For example, one knows that{4,2,1,3}{\displaystyle \{4,2,1,3\}}and{blue, white, red}{\displaystyle \{{\text{blue, white, red}}\}}denote sets and nottuples because of the enclosing braces.

Above notations{}{\displaystyle \{\,\}} and{x}{\displaystyle \{x\}} for the empty set and for a singleton are examples of roster notation.

When specifying sets, it only matters whether each distinct element is in the set or not; this means a set does not change if elements are repeated or arranged in a different order. For example,[24][25][26]

{1,2,3,4}={4,2,1,3}={4,2,4,3,1,3}.{\displaystyle \{1,2,3,4\}=\{4,2,1,3\}=\{4,2,4,3,1,3\}.}

When there is a clear pattern for generating all set elements, one can useellipses for abbreviating the notation,[27][28] such as in{1,2,3,,1000}{\displaystyle \{1,2,3,\ldots ,1000\}}for the positive integers not greater than1000{\displaystyle 1000}.

Ellipses allow also expanding roster notation to some infinite sets. For example, the set of all integers can be denoted as

{,3,2,1,0,1,2,3,}{\displaystyle \{\ldots ,-3,-2,-1,0,1,2,3,\ldots \}}

or

{0,1,1,2,2,3,3,}.{\displaystyle \{0,1,-1,2,-2,3,-3,\ldots \}.}

Set-builder notation

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Main article:Set-builder notation

Set-builder notation specifies a set as being the set of all elements that satisfy somelogical formula.[29][30][31] More precisely, ifP(x){\displaystyle P(x)} is a logical formula depending on avariablex{\displaystyle x}, which evaluates totrue orfalse depending on the value ofx{\displaystyle x}, then{xP(x)}{\displaystyle \{x\mid P(x)\}}or[32]{x:P(x)}{\displaystyle \{x:P(x)\}}denotes the set of allx{\displaystyle x} for whichP(x){\displaystyle P(x)} is true.[8] For example, a setF can be specified as follows:F={nn is an integer, and 0n19}.{\displaystyle F=\{n\mid n{\text{ is an integer, and }}0\leq n\leq 19\}.}In this notation, thevertical bar "|" is read as "such that", and the whole formula can be read as "F is the set of alln such thatn is an integer in the range from 0 to 19 inclusive".

Some logical formulas, such asS is a set{\displaystyle \color {red}{S{\text{ is a set}}}} orS is a set and SS{\displaystyle \color {red}{S{\text{ is a set and }}S\not \in S}} cannot be used in set-builder notation because there is no set for which the elements are characterized by the formula. There are several ways for avoiding the problem. One may prove that the formula defines a set; this is often almost immediate, but may be very difficult.

One may also introduce a larger setU{\displaystyle U} that must contain all elements of the specified set, and write the notation as{xxU and ...}{\displaystyle \{x\mid x\in U{\text{ and ...}}\}}or{xU ...}.{\displaystyle \{x\in U\mid {\text{ ...}}\}.}

One may also defineU{\displaystyle U} once for all and take the convention that every variable that appears on the left of the vertical bar of the notation represents an element ofU{\displaystyle U}. This amounts to say thatxU{\displaystyle x\in U} is implicit in set-builder notation. In this case,U{\displaystyle U} is often calledthedomain of discourse or auniverse.

For example, with the convention that a lower case Latin letter may represent areal number and nothing else, theexpression{xxQ}{\displaystyle \{x\mid x\not \in \mathbb {Q} \}}is an abbreviation of{xRxQ},{\displaystyle \{x\in \mathbb {R} \mid x\not \in \mathbb {Q} \},}which defines theirrational numbers.

Subsets

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Main article:Subset

Asubset of a setB{\displaystyle B} is a setA{\displaystyle A} such that every element ofA{\displaystyle A} is also an element ofB{\displaystyle B}.[33] IfA{\displaystyle A} is a subset ofB{\displaystyle B}, one says commonly thatA{\displaystyle A} iscontained inB{\displaystyle B},B{\displaystyle B}containsA{\displaystyle A}, orB{\displaystyle B} is asuperset ofA{\displaystyle A}. This denotedAB{\displaystyle A\subseteq B} andBA{\displaystyle B\supseteq A}. However many authors useAB{\displaystyle A\subset B} andBA{\displaystyle B\supset A} instead. The definition of a subset can be expressed in notation asABif and only ifx(xAxB).{\displaystyle A\subseteq B\quad {\text{if and only if}}\quad \forall x\;(x\in A\implies x\in B).}

A setA{\displaystyle A} is aproper subset of a setB{\displaystyle B} ifAB{\displaystyle A\subseteq B} andAB{\displaystyle A\neq B}. This is denotedAB{\displaystyle A\subset B} andBA{\displaystyle B\supset A}. WhenAB{\displaystyle A\subset B} is used for the subset relation, or in case of possible ambiguity, one uses commonlyAB{\displaystyle A\subsetneq B} andBA{\displaystyle B\supsetneq A}.[34]

Therelationship between sets established by ⊆ is calledinclusion orcontainment. Equality between sets can be expressed in terms of subsets. Two sets are equal if and only if they contain each other: that is,AB andBA is equivalent toA =B.[30][8] The empty set is a subset of every set:∅ ⊆A.[17]

Examples:

  • The set of all humans is a proper subset of the set of all mammals.
  • {1, 3} ⊂ {1, 2, 3, 4}.
  • {1, 2, 3, 4} ⊆ {1, 2, 3, 4}

Basic operations

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There are several standardoperations that produce new sets from given sets, in the same way asaddition andmultiplication produce new numbers from given numbers. The operations that are considered in this section are those such that all elements of the produced sets belong to a previously defined set. These operations are commonly illustrated withEuler diagrams andVenn diagrams.[35]

The main basic operations on sets are the following ones.

Intersection

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Theintersection ofA andB, denotedAB

Theintersection of two setsA{\displaystyle A} andB{\displaystyle B} is a set denotedAB{\displaystyle A\cap B} whose elements are those elements that belong to bothA{\displaystyle A} andB{\displaystyle B}. That is,AB={xxAxB},{\displaystyle A\cap B=\{x\mid x\in A\land x\in B\},}where{\displaystyle \land } denotes thelogical and.

Intersection isassociative andcommutative; this means that for proceeding a sequence of intersections, one may proceed in any order, without the need of parentheses for specifying theorder of operations. Intersection has no generalidentity element. However, if one restricts intersection to the subsets of a given setU{\displaystyle U}, intersection hasU{\displaystyle U} as identity element.

IfS{\displaystyle {\mathcal {S}}} is a nonempty set of sets, its intersection, denotedASA,{\textstyle \bigcap _{A\in {\mathcal {S}}}A,} is the set whose elements are those elements that belong to all sets inS{\displaystyle {\mathcal {S}}}. That is,ASA={x(AS)xA}.{\displaystyle \bigcap _{A\in {\mathcal {S}}}A=\{x\mid (\forall A\in {\mathcal {S}})\;x\in A\}.}

These two definitions of the intersection coincide whenS{\displaystyle {\mathcal {S}}} has two elements.

Union

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Theunion ofA andB, denotedAB

Theunion of two setsA{\displaystyle A} andB{\displaystyle B} is a set denotedAB{\displaystyle A\cup B} whose elements are those elements that belong toA{\displaystyle A} orB{\displaystyle B} or both. That is,AB={xxAxB},{\displaystyle A\cup B=\{x\mid x\in A\lor x\in B\},}where{\displaystyle \lor } denotes thelogical or.

Union isassociative andcommutative; this means that for proceeding a sequence of intersections, one may proceed in any order, without the need of parentheses for specifying theorder of operations. The empty set is anidentity element for the union operation.

IfS{\displaystyle {\mathcal {S}}} is a set of sets, its union, denotedASA,{\textstyle \bigcup _{A\in {\mathcal {S}}}A,} is the set whose elements are those elements that belong to at least one set inS{\displaystyle {\mathcal {S}}}. That is,ASA={x(AS)xA}.{\displaystyle \bigcup _{A\in {\mathcal {S}}}A=\{x\mid (\exists A\in {\mathcal {S}})\;x\in A\}.}

These two definitions of the union coincide whenS{\displaystyle {\mathcal {S}}} has two elements.

Set difference

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Theset differenceA \B

Theset difference of two setsA{\displaystyle A} andB{\displaystyle B}, is a set, denotedAB{\displaystyle A\setminus B} orAB{\displaystyle A-B}, whose elements are those elements that belong toA{\displaystyle A}, but not toB{\displaystyle B}. That is,AB={xxAxB},{\displaystyle A\setminus B=\{x\mid x\in A\land x\not \in B\},}where{\displaystyle \land } denotes thelogical and.

Thecomplement ofA inU

WhenBA{\displaystyle B\subseteq A} the differenceAB{\displaystyle A\setminus B} is also called thecomplement ofB{\displaystyle B} inA{\displaystyle A}. When all sets that are considered are subsets of a fixeduniversal setU{\displaystyle U}, the complementUA{\displaystyle U\setminus A} is often called theabsolute complement ofA{\displaystyle A}.

Thesymmetric difference ofA andB

Thesymmetric difference of two setsA{\displaystyle A} andB{\displaystyle B}, denotedAΔB{\displaystyle A\,\Delta \,B}, is the set of those elements that belong toA orB but not to both:AΔB=(AB)(BA).{\displaystyle A\,\Delta \,B=(A\setminus B)\cup (B\setminus A).}

Algebra of subsets

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Main article:Algebra of sets

The set of all subsets of a setU{\displaystyle U} is called thepowerset ofU{\displaystyle U}, often denotedP(U){\displaystyle {\mathcal {P}}(U)}. The powerset is an algebraic structure whose main operations are union, intersection, set difference, symmetric difference and absolute complement (complement inU{\displaystyle U}).

The powerset is aBoolean ring that has the symmetric difference as addition, the intersection as multiplication, the empty set asadditive identity,U{\displaystyle U} asmultiplicative identity, and complement as additive inverse.

The powerset is also aBoolean algebra for which thejoin{\displaystyle \lor } is the union{\displaystyle \cup }, themeet{\displaystyle \land } is the intersection{\displaystyle \cap }, and the negation is the set complement.

As every Boolean algebra, the power set is also apartially ordered set for set inclusion. It is also acomplete lattice.

The axioms of these structures induce manyidentities relating subsets, which are detailed in the linked articles.

Functions

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Main article:Function (mathematics)

Afunction from a setA—thedomain—to a setB—thecodomain—is a rule that assigns to each element ofA a unique element ofB. For example, thesquare function maps every real numberx tox2. Functions can be formally defined in terms of sets by means of theirgraph, which are subsets of theCartesian product (see below) of the domain and the codomain.

Functions are fundamental for set theory, and examples are given in following sections.

Indexed families

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Intuitively, anindexed family is a set whose elements are labelled with the elements of another set, the index set. These labels allow the same element to occur several times in the family.

Formally, an indexed family is a function that has the index set as its domain. Generally, the usualfunctional notationf(x){\displaystyle f(x)} is not used for indexed families. Instead, the element of the index set is written as a subscript of the name of the family, such as inai{\displaystyle a_{i}}.

When the index set is{1,2}{\displaystyle \{1,2\}}, an indexed family is called anordered pair. When the index set is the set of then{\displaystyle n} first natural numbers, an indexed family is called ann{\displaystyle n}-tuple. When the index set is the set of all natural numbers an indexed family is called asequence.

In all these cases, the natural order of the natural numbers allows omitting indices for explicit indexed families. For example,(b,2,b){\displaystyle (b,2,b)} denotes the 3-tupleA{\displaystyle A} such thatA1=b,A2=2,A3=b{\displaystyle A_{1}=b,A_{2}=2,A_{3}=b}.

The above notationsASA{\textstyle \bigcup _{A\in {\mathcal {S}}}A} andASA{\textstyle \bigcap _{A\in {\mathcal {S}}}A} are commonly replaced with a notation involving indexed families, namelyiIAi={x(iI)xAi}{\displaystyle \bigcup _{i\in {\mathcal {I}}}A_{i}=\{x\mid (\exists i\in {\mathcal {I}})\;x\in A_{i}\}} andiIAi={x(iI)xAi}.{\displaystyle \bigcap _{i\in {\mathcal {I}}}A_{i}=\{x\mid (\forall i\in {\mathcal {I}})\;x\in A_{i}\}.}

The formulas of the above sections are special cases of the formulas for indexed families, whereS=I{\displaystyle {\mathcal {S}}={\mathcal {I}}} andi=A=Ai{\displaystyle i=A=A_{i}}. The formulas remain correct, even in the case whereAi=Aj{\displaystyle A_{i}=A_{j}} for someij{\displaystyle i\neq j}, sinceA=AA=AA.{\displaystyle A=A\cup A=A\cap A.}

External operations

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In§ Basic operations, all elements of sets produced by set operations belong to previously defined sets. In this section, other set operations are considered, which produce sets whose elements can be outside all previously considered sets. These operations areCartesian product,disjoint union,set exponentiation andpower set.

Cartesian product

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Main articles:Cartesian product andDirect product

The Cartesian product of two sets has already been used for defining functions.

Given two setsA1{\displaystyle A_{1}} andA2{\displaystyle A_{2}}, theirCartesian product, denotedA1×A2{\displaystyle A_{1}\times A_{2}} is the set formed by all ordered pairs(a1,a2){\displaystyle (a_{1},a_{2})} such thata1A1{\displaystyle a_{1}\in A_{1}} anda2A2{\displaystyle a_{2}\in A_{2}}; that is,A1×A2={(a1,a2)a1A1a2A2}.{\displaystyle A_{1}\times A_{2}=\{(a_{1},a_{2})\mid a_{1}\in A_{1}\land a_{2}\in A_{2}\}.}

This definition does not suppose that the two sets are different. In particular,A×A={(a1,a2)a1Aa2A}.{\displaystyle A\times A=\{(a_{1},a_{2})\mid a_{1}\in A\land a_{2}\in A\}.}

Since this definition involves a pair of indices (1,2), it generalizes straightforwardly to the Cartesian product ordirect product of any indexed family of sets:iIAi={(ai)iI(iI)aiAi}.{\displaystyle \prod _{i\in {\mathcal {I}}}A_{i}=\{(a_{i})_{i\in {\mathcal {I}}}\mid (\forall i\in {\mathcal {I}})\;a_{i}\in A_{i}\}.}That is, the elements of the Cartesian product of a family of sets are all families of elements such that each one belongs to the set of the same index. The fact that, for every indexed family of nonempty sets, the Cartesian product is a nonempty set is insured by theaxiom of choice.

Set exponentiation

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Main article:Set exponentiation

Given two setsE{\displaystyle E} andF{\displaystyle F}, theset exponentiation, denotedFE{\displaystyle F^{E}}, is the set that has as elements all functions fromE{\displaystyle E} toF{\displaystyle F}.

Equivalently,FE{\displaystyle F^{E}} can be viewed as the Cartesian product of a family, indexed byE{\displaystyle E}, of sets that are all equal toF{\displaystyle F}. This explains the terminology and the notation, sinceexponentiation with integer exponents is a product where all factors are equal to the base.

Power set

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Main article:Power set

Thepower set of a setE{\displaystyle E} is the set that has all subsets ofE{\displaystyle E} as elements, including theempty set andE{\displaystyle E} itself.[30] It is often denotedP(E){\displaystyle {\mathcal {P}}(E)}. For example,P({1,2,3})={,{1},{2},{3},{1,2},{1,3},{2,3},{1,2,3}}.{\displaystyle {\mathcal {P}}(\{1,2,3\})=\{\emptyset ,\{1\},\{2\},\{3\},\{1,2\},\{1,3\},\{2,3\},\{1,2,3\}\}.}

There is a natural one-to-one correspondence (bijection) between the subsets ofE{\displaystyle E} and the functions fromE{\displaystyle E} to{0,1}{\displaystyle \{0,1\}}; this correspondence associates to each subset the function that takes the value1{\displaystyle 1} on the subset and0{\displaystyle 0} elsewhere. Because of this correspondence, the power set ofE{\displaystyle E} is commonly identified with set exponentiation:P(E)={0,1}E.{\displaystyle {\mathcal {P}}(E)=\{0,1\}^{E}.}In this notation,{0,1}{\displaystyle \{0,1\}} is often abbreviated as2{\displaystyle 2}, which gives[30][36]P(E)=2E.{\displaystyle {\mathcal {P}}(E)=2^{E}.}In particular, ifE{\displaystyle E} hasn{\displaystyle n} elements, then2E{\displaystyle 2^{E}} has2n{\displaystyle 2^{n}} elements.[37]

Disjoint union

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Main article:Disjoint union

Thedisjoint union of two or more sets is similar to the union, but, if two sets have elements in common, these elements are considered as distinct in the disjoint union. This is obtained by labelling the elements by the indexes of the set they are coming from.

The disjoint union of two setsA{\displaystyle A} andB{\displaystyle B} is commonly denotedAB{\displaystyle A\sqcup B} and is thus defined asAB={(a,i)(i=1aA)(i=2aB}.{\displaystyle A\sqcup B=\{(a,i)\mid (i=1\land a\in A)\lor (i=2\land a\in B\}.}

IfA=B{\displaystyle A=B} is a set withn{\displaystyle n} elements, thenAA=A{\displaystyle A\cup A=A} hasn{\displaystyle n} elements, whileAA{\displaystyle A\sqcup A} has2n{\displaystyle 2n} elements.

The disjoint union of two sets is a particular case of the disjoint union of an indexed family of sets, which is defined asiI={(a,i)iIaAi}.{\displaystyle \bigsqcup _{i\in {\mathcal {I}}}=\{(a,i)\mid i\in {\mathcal {I}}\land a\in A_{i}\}.}

The disjoint union is thecoproduct in thecategory of sets. Therefore the notationiI={(a,i)iIaAi}{\displaystyle \coprod _{i\in {\mathcal {I}}}=\{(a,i)\mid i\in {\mathcal {I}}\land a\in A_{i}\}}is commonly used.

Internal disjoint union

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Given an indexed family of sets(Ai)iI{\displaystyle (A_{i})_{i\in {\mathcal {I}}}}, there is anatural mapiIAiiIAi(a,i)a,{\displaystyle {\begin{aligned}\bigsqcup _{i\in {\mathcal {I}}}A_{i}&\to \bigcup _{i\in {\mathcal {I}}}A_{i}\\(a,i)&\mapsto a,\end{aligned}}}which consists in "forgetting" the indices.

This maps is always surjective; it is bijective if and only if theAi{\displaystyle A_{i}} arepairwise disjoint, that is, all intersections of two sets of the family are empty. In this case,iIAi{\textstyle \bigcup _{i\in {\mathcal {I}}}A_{i}} andiIAi{\textstyle \bigsqcup _{i\in {\mathcal {I}}}A_{i}} are commonly identified, and one says that their union is thedisjoint union of the members of the family.

If a set is the disjoint union of a family of subsets, one says also that the family is apartition of the set.

Cardinality

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Main articles:Cardinality andCardinal number

Informally, the cardinality of a setS, often denoted|S|, is the number of its members.[38] This number is thenatural numbern{\displaystyle n} when there is abijection between the set that is considered and the set{1,2,,n}{\displaystyle \{1,2,\ldots ,n\}} of then{\displaystyle n} first natural numbers. The cardinality of the empty set is0{\displaystyle 0}.[39] A set with the cardinality of a natural number is called afinite set which is true for both cases. Otherwise, one has aninfinite set.[40]

The fact that natural numbers measure the cardinality of finite sets is the basis of the concept of natural number, and predates for several thousands years the concept of sets. A large part ofcombinatorics is devoted to the computation or estimation of the cardinality of finite sets.

Infinite cardinalities

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The cardinality of an infinite set is commonly represented by acardinal number, exactly as the number of elements of a finite set is represented by a natural numbers. The definition of cardinal numbers is too technical for this article; however, many properties of cardinalities can be dealt without referring to cardinal numbers, as follows.

Two setsS{\displaystyle S} andT{\displaystyle T} have the same cardinality if there exists a one-to-one correspondence (bijection) between them. This is denoted|S|=|T|,{\displaystyle |S|=|T|,} and would be anequivalence relation on sets, if a set of all sets would exist.

For example, the natural numbers and the even natural numbers have the same cardinality, since multiplication by two provides such a bijection. Similarly, theinterval(1,1){\displaystyle (-1,1)} and the set of all real numbers have the same cardinality, a bijection being provided by the functionxtan(πx/2){\displaystyle x\mapsto \tan(\pi x/2)}.

Having the same cardinality of aproper subset is a characteristic property of infinite sets:a set is infinite if and only if it has the same cardinality as one of its proper subsets.So, by the above example, the natural numbers form an infinite set.[30]

Besides equality, there is a natural inequality between cardinalities: a setS{\displaystyle S} has a cardinality smaller than or equal to the cardinality of another setT{\displaystyle T} if there is aninjection fromeS{\displaystyle S} toT{\displaystyle T}. This is denoted|S||T|.{\displaystyle |S|\leq |T|.}

Schröder–Bernstein theorem implies that|S||T|{\displaystyle |S|\leq |T|} and|T||S|{\displaystyle |T|\leq |S|} imply|S|=|T|.{\displaystyle |S|=|T|.} Also, one has|S||T|,{\displaystyle |S|\leq |T|,} if and only if there is a surjection fromT{\displaystyle T} toS{\displaystyle S}. For every two setsS{\displaystyle S} andT{\displaystyle T}, one has either|S||T|{\displaystyle |S|\leq |T|} or|T||S|.{\displaystyle |T|\leq |S|.}[c] So, inequality of cardinalities is atotal order.

The cardinality of the setN{\displaystyle \mathbb {N} } of the natural numbers, denoted|N|=0,{\displaystyle |\mathbb {N} |=\aleph _{0},} is the smallest infinite cardinality. This means that ifS{\displaystyle S} is a set of natural numbers, then eitherS{\displaystyle S} is finite or|S|=|N|.{\displaystyle |S|=|\mathbb {N} |.}

Sets with cardinality less than or equal to|N|=0{\displaystyle |\mathbb {N} |=\aleph _{0}} are calledcountable sets; these are either finite sets orcountably infinite sets (sets of cardinality0{\displaystyle \aleph _{0}}); some authors use "countable" to mean "countably infinite". Sets with cardinality strictly greater than0{\displaystyle \aleph _{0}} are calleduncountable sets.

Cantor's diagonal argument shows that, for every setS{\displaystyle S}, its power set (the set of its subsets)2S{\displaystyle 2^{S}} has a greater cardinality:|S|<|2S|.{\displaystyle |S|<\left|2^{S}\right|.}This implies that there is no greatest cardinality.

Cardinality of the real numbers

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The cardinality of set of thereal numbers is called thecardinality of the continuum and denotedc{\displaystyle {\mathfrak {c}}}. (The term "continuum" referred to thereal line before the 20th century, when the real line was not commonly viewed as a set of numbers.)

Since, as seen above, the real lineR{\displaystyle \mathbb {R} } has the same cardinality of anopen interval, every subset ofR{\displaystyle \mathbb {R} } that contains a nonemptyopen interval has also the cardinalityc{\displaystyle {\mathfrak {c}}}.

One hasc=20,{\displaystyle {\mathfrak {c}}=2^{\aleph _{0}},}meaning that the cardinality of the real numbers equals the cardinality of thepower set of the natural numbers. In particular,[41]c>0.{\displaystyle {\mathfrak {c}}>\aleph _{0}.}

When published in 1878 byGeorg Cantor,[42] this result was so astonishing that it was refused by mathematicians, and several tens years were needed before its common acceptance.

It can be shown thatc{\displaystyle {\mathfrak {c}}} is also the cardinality of the entireplane, and of anyfinite-dimensionalEuclidean space.[43]

Thecontinuum hypothesis, was a conjecture formulated by Georg Cantor in 1878 that there is no set with cardinality strictly between0{\displaystyle \aleph _{0}} andc{\displaystyle {\mathfrak {c}}}.[42] In 1963,Paul Cohen proved that the continuum hypothesis isindependent of theaxioms ofZermelo–Fraenkel set theory with theaxiom of choice.[44] This means that if the most widely usedset theory isconsistent (that is not self-contradictory),[d] then the same is true for both the set theory with the continuum hypothesis added as a further axiom, and the set theory with the negation of the continuum hypothesis added.

Axiom of choice

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Main article:Axiom of choice

Informally, the axiom of choice says that, given any family of nonempty sets, one can choose simultaneously an element in each of them.[e] Formulated this way, acceptability of this axiom sets a foundational logical question, because of the difficulty of conceiving an infinite instantaneous action. However, there are several equivalent formulations that are much less controversial and have strong consequences in many areas of mathematics. In the present days, the axiom of choice is thus commonly accepted in mainstream mathematics.

A more formal statement of the axiom of choice is:the Cartesian product of every indexed family of nonempty sets is non empty.

Other equivalent forms are described in the following subsections.

Zorn's lemma

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Main article:Zorn's lemma

Zorn's lemma is an assertion that is equivalent to the axiom of choice under the other axioms of set theory, and is easier to use in usual mathematics.

LetS{\displaystyle S} be a partial ordered set. Achain inS{\displaystyle S} is a subset that istotally ordered under the induced order. Zorn's lemma states that, if every chain inS{\displaystyle S} has anupper bound inS{\displaystyle S}, thenS{\displaystyle S} has (at least) amaximal element, that is, an element that is not smaller than another element ofS{\displaystyle S}.

In most uses of Zorn's lemma,S{\displaystyle S} is a set of sets, the order is set inclusion, and the upperbound of a chain is taken as the union of its members.

An example of use of Zorn's lemma, is the proof that everyvector space has abasis. Here the elements ofS{\displaystyle S} arelinearly independent subsets of the vector space. The union of a chain of elements ofS{\displaystyle S} is linearly independent, since an infinite set is linearly independent if and only if each finite subset is, and every finite subset of the union of a chain must be included in a member of the chain. So, there exist a maximal linearly independent set. This linearly independent set must span the vector space because of maximality, and is therefore a basis.

Another classical use of Zorn's lemma is the proof that every properideal—that is, an ideal that is not the whole ring—of aring is contained in amaximal ideal. Here,S{\displaystyle S} is the set of the proper ideals containing the given ideal. The union of chain of ideals is an ideal, since the axioms of an ideal involve a finite number of elements. The union of a chain of proper ideals is a proper ideal, since otherwise1{\displaystyle 1} would belong to the union, and this implies that it would belong to a member of the chain.

Transfinite induction

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Main articles:Well-order andTransfinite induction

The axiom of choice is equivalent with the fact that a well-order can be defined on every set, where a well-order is atotal order such that every nonempty subset has a least element.

Simple examples of well-ordered sets are the natural numbers (with the natural order), and, for everyn, the set of then-tuples of natural numbers, with thelexicographic order.

Well-orders allow a generalization ofmathematical induction, which is calledtransfinite induction. Given a property (predicate)P(n){\displaystyle P(n)} depending on a natural number, mathematical induction is the fact that for proving thatP(n){\displaystyle P(n)} is always true, it suffice to prove that for everyn{\displaystyle n},

(m<nP(m))P(n).{\displaystyle (m<n\implies P(m))\implies P(n).}

Transfinite induction is the same, replacing natural numbers by the elements of a well-ordered set.

Often, a proof by transfinite induction easier if three cases are proved separately, the two first cases being the same as for usual induction:

Transfinite induction is fundamental for definingordinal numbers andcardinal numbers.

See also

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Notes

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  1. ^Some typographical variants are occasionally used, such asϕ,[15] orϕ.[16]
  2. ^The termunit set is also occasionally used.[14]
  3. ^This property is equivalent to theaxiom of choice.
  4. ^The consistency of set theory cannot proved from within itself.
  5. ^Gödel[45] and Cohen[46] showed that the axiom of choice cannot be proved or disproved from the remaining set theory axioms, respectively.

Citations

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  1. ^Hilbert, David (1926), "Über das Unendliche",Mathematische Annalen, vol. 95, pp. 161–190,doi:10.1007/BF01206605,JFM 51.0044.02,S2CID 121888793
    "Aus dem Paradies, das Cantor uns geschaffen, soll uns niemand vertreiben können."
    Translated inVan Heijenoort, Jean,On the infinite, Harvard University Press
  2. ^Cantor, Georg; Jourdain, Philip E.B. (Translator) (1915).Contributions to the founding of the theory of transfinite numbers. New York Dover Publications (1954 English translation).By an 'aggregate' (Menge) we are to understand any collection into a whole (Zusammenfassung zu einem Ganzen)M of definite and separate objectsm of our intuition or our thought. Here: p.85
  3. ^P. K. Jain; Khalil Ahmad; Om P. Ahuja (1995).Functional Analysis. New Age International. p. 1.ISBN 978-81-224-0801-0.
  4. ^Samuel Goldberg (1 January 1986).Probability: An Introduction. Courier Corporation. p. 2.ISBN 978-0-486-65252-8.
  5. ^Thomas H. Cormen; Charles E Leiserson; Ronald L Rivest; Clifford Stein (2001).Introduction To Algorithms. MIT Press. p. 1070.ISBN 978-0-262-03293-3.
  6. ^Halmos 1960, p. 1.
  7. ^Maddocks, J. R. (2004). Lerner, K. Lee; Lerner, Brenda Wilmoth (eds.).The Gale Encyclopedia of Science. Gale. pp. 3587–3589.ISBN 0-7876-7559-8.
  8. ^abcDevlin, Keith J. (1981). "Sets and functions".Sets, Functions and Logic: Basic concepts of university mathematics. Springer.ISBN 978-0-412-22660-1.
  9. ^"Set - Encyclopedia of Mathematics".encyclopediaofmath.org. Retrieved2025-02-06.
  10. ^Publishers, HarperCollins."The American Heritage Dictionary entry: set".www.ahdictionary.com. Retrieved2025-02-06.
  11. ^Halmos 1960, p. 2.
  12. ^Marek Capinski; Peter E. Kopp (2004).Measure, Integral and Probability. Springer Science & Business Media. p. 2.ISBN 978-1-85233-781-0.
  13. ^"Set Symbols".www.mathsisfun.com. Retrieved2020-08-19.
  14. ^abStoll, Robert (1974).Sets, Logic and Axiomatic Theories. W. H. Freeman and Company. pp. 5.ISBN 9780716704577.
  15. ^Aggarwal, M.L. (2021). "1. Sets".Understanding ISC Mathematics Class XI. Vol. 1. Arya Publications (Avichal Publishing Company). p. A=3.
  16. ^Sourendra Nath, De (January 2015). "Unit-1 Sets and Functions: 1. Set Theory".Chhaya Ganit (Ekadash Shreni). Scholar Books Pvt. Ltd. p. 5.
  17. ^abHalmos 1960, p. 8.
  18. ^K.T. Leung; Doris Lai-chue Chen (1 July 1992).Elementary Set Theory, Part I/II. Hong Kong University Press. p. 27.ISBN 978-962-209-026-2.
  19. ^A. Kanamori, "The Empty Set, the Singleton, and the Ordered Pair", p.278. Bulletin of Symbolic Logic vol. 9, no. 3, (2003). Accessed 21 August 2023.
  20. ^Charles Roberts (24 June 2009).Introduction to Mathematical Proofs: A Transition. CRC Press. p. 45.ISBN 978-1-4200-6956-3.
  21. ^Johnson, David; Johnson, David B.; Mowry, Thomas A. (June 2004).Finite Mathematics: Practical Applications (Docutech ed.). W. H. Freeman. p. 220.ISBN 978-0-7167-6297-3.
  22. ^Bello, Ignacio; Kaul, Anton; Britton, Jack R. (29 January 2013).Topics in Contemporary Mathematics. Cengage. p. 47.ISBN 978-1-133-10742-2.
  23. ^Epp, Susanna S. (4 August 2010).Discrete Mathematics with Applications. Cengage. p. 13.ISBN 978-0-495-39132-6.
  24. ^Maurer, Stephen B.; Ralston, Anthony (21 January 2005).Discrete Algorithmic Mathematics. CRC Press. p. 11.ISBN 978-1-4398-6375-6.
  25. ^"Introduction to Sets".www.mathsisfun.com. Retrieved2020-08-19.
  26. ^Van Dalen, D.; Doets, H. C.; De Swart, H. (9 May 2014).Sets: Naïve, Axiomatic and Applied: A Basic Compendium with Exercises for Use in Set Theory for Non Logicians, Working and Teaching Mathematicians and Students. Elsevier Science. p. 1.ISBN 978-1-4831-5039-0.
  27. ^Basta, Alfred; DeLong, Stephan; Basta, Nadine (1 January 2013).Mathematics for Information Technology. Cengage. p. 3.ISBN 978-1-285-60843-3.
  28. ^Bracken, Laura; Miller, Ed (15 February 2013).Elementary Algebra. Cengage. p. 36.ISBN 978-0-618-95134-5.
  29. ^Frank Ruda (6 October 2011).Hegel's Rabble: An Investigation into Hegel's Philosophy of Right. Bloomsbury Publishing. p. 151.ISBN 978-1-4411-7413-0.
  30. ^abcdeJohn F. Lucas (1990).Introduction to Abstract Mathematics. Rowman & Littlefield. p. 108.ISBN 978-0-912675-73-2.
  31. ^Weisstein, Eric W."Set".Wolfram MathWorld. Retrieved2020-08-19.
  32. ^Ralph C. Steinlage (1987).College Algebra. West Publishing Company.ISBN 978-0-314-29531-6.
  33. ^Felix Hausdorff (2005).Set Theory. American Mathematical Soc. p. 30.ISBN 978-0-8218-3835-8.
  34. ^Halmos 1960, p. 3.
  35. ^Tanton, James (2005). "Set theory".Encyclopedia of Mathematics. New York: Facts On File. pp. 460–61.ISBN 0-8160-5124-0.
  36. ^Halmos 1960, p. 19.
  37. ^Halmos 1960, p. 20.
  38. ^Yiannis N. Moschovakis (1994).Notes on Set Theory. Springer Science & Business Media.ISBN 978-3-540-94180-4.
  39. ^Karl J. Smith (7 January 2008).Mathematics: Its Power and Utility. Cengage Learning. p. 401.ISBN 978-0-495-38913-2.
  40. ^Biggs, Norman L. (1989). "Functions and counting".Discrete Mathematics (revised ed.). New York: Oxford University Press. p. 39.ISBN 0-19-853427-2.
  41. ^John Stillwell (16 October 2013).The Real Numbers: An Introduction to Set Theory and Analysis. Springer Science & Business Media.ISBN 978-3-319-01577-4.
  42. ^abCantor, Georg (1878)."Ein Beitrag zur Mannigfaltigkeitslehre".Journal für die Reine und Angewandte Mathematik.1878 (84):242–258.doi:10.1515/crll.1878.84.242 (inactive 1 November 2024).{{cite journal}}: CS1 maint: DOI inactive as of November 2024 (link)
  43. ^David Tall (11 April 2006).Advanced Mathematical Thinking. Springer Science & Business Media. p. 211.ISBN 978-0-306-47203-9.
  44. ^Cohen, Paul J. (December 15, 1963a)."The Independence of the Continuum Hypothesis".Proceedings of the National Academy of Sciences of the United States of America.50 (6):1143–1148.Bibcode:1963PNAS...50.1143C.doi:10.1073/pnas.50.6.1143.JSTOR 71858.PMC 221287.PMID 16578557.
  45. ^Gödel 1938.
  46. ^Cohen 1963b.

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