About Sets

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    SET

    DEFINITION

    A set is a collection of distinct objects, considered as an object in its own right.

    Sets are one of the most fundamental concepts in mathematics. Developed at

    the end of the 19th century, set theory is now a ubiquitous part of mathematics,

    and can be used as a foundation from which nearly all of mathematics can be

    derived. In mathematics education, elementary topics such as Venn diagrams

    are taught at a young age, while more advanced concepts are taught as part of a

    university degree. By a "set" we mean any collection M into a whole of definite,

    distinct objects m (which called the "elements" ofM).

    The elements or members of a set can be anything: numbers, people, letters of

    the alphabet, other sets, and so on. Sets are conventionally denoted with capital

    letters. Sets A and B are equal if and only if they have precisely the same

    elements.

    As discussed below, the definition given above turned out to be inadequate for

    formal mathematics; instead, the notion of a "set" is taken as an undefined

    primitive in axiomatic set theory. The most basic properties are that a set "has"elements, and that two sets are equal. If and only if they have the same

    elements. The intersection of two sets is made up of the objects contained in

    both sets, shown in a Venn diagram:

    There are two ways of describing, or specifying the members of, a set. One way

    is by intensional definition, using a rule orsemantic description:

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    A is the set whose members are the first four positive integers.

    B is the set of colors of the French flag.

    The second way is by extension that is, listing each member of the set. An

    extensional definition is denoted by enclosing the list of members in brackets:

    C= {4, 2, 1, 3}

    D = {blue, white, red}

    Unlike a multiset, every element of a set must be unique; no two members may

    be identical. All set operations preserve the property that each element of the set

    is unique. The order in which the elements of a set are listed is irrelevant, unlike

    a sequence ortuple. For example,

    {6, 11} = {11, 6} = {11, 11, 6, 11},

    Because the extensional specification means merely that each of the elements

    listed is a member of the set.

    For sets with many elements, the enumeration of members can be abbreviated.

    For instance, the set of the first thousand positive integers may be specifiedextensionally as:

    {1, 2, 3, ..., 1000},

    where the ellipsis ("...") indicates that the list continues in the obvious way.

    Ellipses may also be used where sets have infinitely many members. Thus the

    set of positive even numbers can be written as {2, 4, 6, 8, ... }.

    The notation with braces may also be used in an intensional specification of a

    set. In this usage, the braces have the meaning "the set of all ...". So, E =

    {playing card suits} is the set whose four members are , , , and . A more

    general form of this is set-builder notation, through which, for instance, the set F

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    of the twenty smallest integers that are four less than perfect squares can be

    denoted:

    F= {n2 4 : nis an integer; and 0 n 19}

    In this notation, the colon (":") means "such that", and the description can be

    interpreted as "F is the set of all numbers of the form n2 4, such that n is a

    whole number in the range from 0 to 19 inclusive." Sometimes the vertical bar

    ("|") is used instead of the colon.

    One often has the choice of specifying a set intensionally or extensionally. In the

    examples above, for instance,A = Cand B = D.

    Membership

    Main article: Element (mathematics)

    The key relation between sets is membership when one set is an element of

    another. IfA is a member ofB, this is denotedAB, while ifCis not a member

    ofB then CB. For example, with respect to the sets A = {1,2,3,4}, B = {blue,

    white, red}, and F= {n2 4 : nis an integer; and 0 n 19} defined above,

    4 A and 285 F; but

    9 Fand green B.

    Subsets

    If every member of setA is also a member of set B, thenA is said to be a subset

    ofB, writtenAB (also pronouncedA is contained in B). Equivalently, we can

    write BA, read as B is a superset of A, B includes A, orB contains A. The

    relationship between sets established by is called inclusion orcontainment.

    IfA is a subset of, but not equal to, B, then A is called a proper subset ofB,

    writtenAB (A is a proper subset of B) orBA (B is proper superset of A).

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    Note that the expressions A B and BA are used differently by different

    authors; some authors use them to mean the same as AB (respectively B

    A), whereas other use them to mean the same asAB (respectively BA).

    A is a subset ofB

    Example:

    The set of all men is a propersubset of the set of all people.

    {1, 3} {1, 2, 3, 4}.

    {1, 2, 3, 4} {1, 2, 3, 4}.

    The empty set is a subset of every set and every set is a subset of itself:

    A.

    AA.

    An obvious but useful identity, which can often be used to show that two

    seemingly different sets are equal:

    A = B if and only ifAB and BA.

    Power sets

    The power set of a set S is the set of all subsets ofS. This includes the subsets

    formed from all the members of S and the empty set. If a finite set S has

    cardinality n then the power set of S has cardinality 2n. The power set can be

    written as P(S).

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    IfS is an infinite (eithercountable oruncountable) set then the power set ofS is

    always uncountable. Moreover, ifS is a set, then there is never a bijection from S

    onto P(S). In other words, the power set ofS is always strictly "bigger" than S.

    As an example, the power set of {1, 2, 3} is {{1, 2, 3}, {1, 2}, {1, 3}, {2, 3}, {1}, {2},

    {3}, }. The cardinality of the original set is 3, and the cardinality of the power set

    is 23

    = 8. This relationship is one of the reasons for the terminologypower set.

    Cardinality

    The cardinality |S| of a set S is "the number of members of S." For example,

    since the French flag has three colors, |B| = 3.

    There is a unique set with no members and zero cardinality, which is called the

    empty set (or the null set) and is denoted by the symbol (other notations are

    used; see empty set). For example, the set of all three-sided squares has zero

    members and thus is the empty set. Though it may seem trivial, the empty set,

    like the number zero, is important in mathematics; indeed, the existence of this

    set is one of the fundamental concepts ofaxiomatic set theory.

    Some sets have infinite cardinality. The set N ofnatural numbers, for instance, is

    infinite. Some infinite cardinalities are greater than others. For instance, the set of

    real numbers has greater cardinality than the set of natural numbers. However, it

    can be shown that the cardinality of (which is to say, the number of points on) a

    straight line is the same as the cardinality of any segment of that line, of the

    entire plane, and indeed of any finite-dimensional Euclidean space.

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    Special sets

    There are some sets which hold great mathematical importance and are referred

    to with such regularity that they have acquired special names and notational

    conventions to identify them. One of these is the empty set. Many of these sets

    are represented using blackboard bold or bold typeface. Special sets of numbers

    include:

    P, denoting the set of all primes:P = {2, 3, 5, 7, 11, 13, 17, ...}.

    N, denoting the set of all natural numbers:N = {1, 2, 3, . . .}.

    Z, denoting the set of all integers (whether positive, negative or zero): Z =

    {... , 2, 1, 0, 1, 2, ...}. Q, denoting the set of all rational numbers (that is, the set of all properand

    improper fractions): Q = {a/b : a, bZ, b 0}. For example, 1/4 Q and

    11/6 Q. All integers are in this set since every integer a can be

    expressed as the fraction a/1.

    R, denoting the set of all real numbers. This set includes all rational

    numbers, together with all irrational numbers (that is, numbers which

    cannot be rewritten as fractions, such as,e, and 2, as well asnumbers

    that cannot be defined).

    C, denoting the set of all complex numbers:C = {a + bi: a, bR}. For

    example, 1 + 2iC.

    H, denoting the set of all quaternions:H = {a + bi+ cj+ dk: a, b, c, dR}.

    For example, 1 + i+ 2j kH.

    Each of the above sets of numbers has an infinite number of elements, and each

    can be considered to be a proper subset of the sets listed below it. The primes

    are used less frequently than the others outside of number theory and related

    fields.

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    Basic operations

    There are several fundamental operations for constructing new sets from given

    set.

    Unions

    The union ofA and B, denoted byAB

    Main article: Union (set theory)

    Two sets can be "added" together. The union ofA and B, denoted byAB, is

    the set of all things which are members of eitherA orB. Examples:

    {1, 2} {red, white} = {1, 2, red, white}.

    {1, 2, green} {red, white, green} = {1, 2, red, white, green}.

    {1, 2} {1, 2} = {1, 2}.

    Some basic properties of unions:

    AB = BA.

    A (BC) = (AB) C.

    A (AB).

    AA =A.

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    A =A.

    AB if and only ifAB = B.

    Intersections

    A new set can also be constructed by determining which members two sets have

    "in common". The intersection ofA and B, denoted by A B, is the set of all

    things which are members of bothA and B. IfA B = , thenA and B are said to

    be disjoint.

    The intersection ofA and B, denotedA B.

    Examples:

    {1, 2} {red, white} = .

    {1, 2, green} {red, white, green} = {green}.

    {1, 2} {1, 2} = {1, 2}.

    Some basic properties of intersections:

    A B = BA.

    A (B C) = (A B) C.

    A BA.

    AA =A.

    A = .

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    AB if and only ifA B =A.

    Complements

    The relative complement ofB inA

    The complement ofA in U

    The symmetric difference ofA and B

    Main article: Complement (set theory)

    Two sets can also be "subtracted". The relative complementofB inA (also called

    the set-theoretic difference ofA and B), denoted byA \ B, (orA B) is the set of

    all elements which are members ofA but not members ofB. Note that it is valid

    to "subtract" members of a set that are not in the set, such as removing the

    element green from the set {1, 2, 3}; doing so has no effect.

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    In certain settings all sets under discussion are considered to be subsets of a

    given universal set U. In such cases, U\A is called the absolute complement or

    simply complements ofA, and is denoted byA.

    Examples:

    {1, 2} \ {red, white} = {1, 2}.

    {1, 2, green} \ {red, white, green} = {1, 2}.

    {1, 2} \ {1, 2} = .

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

    IfUis the set of integers, Eis the set of even integers, and O is the

    set of odd integers, then E = O.

    Some basic properties of complements:

    A \ B B \A.

    AA = U.

    AA = .

    (A) =A.

    A \A = .

    U = and = U.

    A \ B =A B.

    An extension of the complement is the symmetric difference, defined for setsA,

    B as

    For example, the symmetric difference of {7,8,9,10} and {9,10,11,12} is the set

    {7,8,11,12}.

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    Cartesian product

    A new set can be constructed by associating every element of one set with every

    element of another set. The Cartesian productof two setsA and B, denoted byA

    B is the set of all ordered pairs (a, b) such that a is a member ofA and b is a

    member ofB.

    Examples:

    {1, 2} {red, white} = {(1, red), (1, white), (2, red), (2, white)}.

    {1, 2, green} {red, white, green} = {(1, red), (1, white), (1, green),

    (2, red), (2, white), (2, green), (green, red), (green, white), (green,

    green)}.

    {1, 2} {1, 2} = {(1, 1), (1, 2), (2, 1), (2, 2)}.

    Some basic properties of Cartesian products:

    A = .

    A (BC) = (A B) (A C).

    (AB) C= (A C) (B C).

    LetA and B be finite sets. Then

    |A B| = |B A| = |A| |B|.

    Applications

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    Set theory is seen as the foundation from which virtually all of mathematics can

    be derived. For example, structures in abstract algebra, such as groups, fields

    and rings, are sets closed under one or more operations.

    One of the main applications of naive set theory is constructing relations. A

    relation from a domainA to a codomain B is a subset of the Cartesian productA

    B. Given this concept, we are quick to see that the set Fof all ordered pairs (x,

    x2), where x is real, is quite familiar. It has a domain set R and a codomain set

    that is also R, because the set of all squares is subset of the set of all real. If

    placed in functional notation, this relation becomes f(x) = x2. The reason these

    two are equivalent is for any given value, y that the function is defined for, its

    corresponding ordered pair, (y, y

    2

    ) is a member of the set F.

    Axiomatic set theory

    Although initially naive set theory, which defines a set merely as any well-defined

    collection, was well accepted, it soon ran into several obstacles. It was found that

    this definition spawned several paradoxes, most notably:

    Russell's paradoxIt shows that the "set of all sets which do not containthemselves," i.e. the "set" {x:xis a set andxx} does not exist.

    Cantor's paradoxIt shows that "the set of all sets" cannot exist.

    The reason is that the phrase well-defined is not very well defined. It was

    important to free set theory of these paradoxes because nearly all of

    mathematics was being redefined in terms of set theory. In an attempt to avoid

    these paradoxes, set theory was axiomatic based on first-order logic, and thus

    axiomatic set theorywas born.

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    Intensional definition

    In logic and mathematics, an intensional definition gives the meaning of a term

    by specifying all the properties required to come to that definition, that is, the

    necessary and sufficient conditions for belonging to the set being defined.

    For example, an intensional definition of "bachelor" is "unmarried man." Being an

    unmarried man is an essential property of something referred to as a bachelor. It

    is a necessary condition: one cannot be a bachelor without being an unmarried

    man. It is also a sufficient condition: any unmarried man is a bachelor.[1]

    This is the opposite approach to the extensional definition, which defines by

    listing everything that falls under that definition an extensional definition of

    "bachelor" would be a listing of all the unmarried men in the world .[1]

    As becomes clear, intensional definitions are best used when something has a

    clearly-defined set of properties, and it works well for sets that are too large to list

    in an extensional definition. It is impossible to give an extensional definition for an

    infinite set, but an intensional one can often be stated concisely there is an

    infinite number of even numbers, impossible to list, but they can be defined by

    saying that even numbers are integermultiples of two.

    Definition by genus and difference, in which something is defined by first stating

    the broad category it belongs to and then distinguished by specific properties, is

    a type of intensional definition. As the name might suggest, this is the type ofdefinition used in Linnaean taxonomy to categorize living things, but is by no

    means restricted to biology. Suppose we define a miniskirt as "a skirt with a

    hemline above the knee." We've assigned it to a genus, or larger class of items: it

    is a type of skirt. Then, we've described the differentia, the specific properties

    that make it its own sub-type: it has a hemline above the knee.

    http://en.wikipedia.org/wiki/Logichttp://en.wikipedia.org/wiki/Mathematicshttp://en.wikipedia.org/wiki/Meaning_%28linguistic%29http://en.wikipedia.org/wiki/Definitionhttp://en.wikipedia.org/wiki/Necessary_and_sufficient_conditionshttp://en.wikipedia.org/wiki/Set_%28mathematics%29http://en.wikipedia.org/wiki/Intensional_definition#cite_note-Cook-0http://en.wikipedia.org/wiki/Intensional_definition#cite_note-Cook-0http://en.wikipedia.org/wiki/Intensional_definition#cite_note-Cook-0http://en.wikipedia.org/wiki/Extensional_definitionhttp://en.wikipedia.org/wiki/Extensional_definitionhttp://en.wikipedia.org/wiki/Intensional_definition#cite_note-Cook-0http://en.wikipedia.org/wiki/Intensional_definition#cite_note-Cook-0http://en.wikipedia.org/wiki/Intensional_definition#cite_note-Cook-0http://en.wikipedia.org/wiki/Infinityhttp://en.wikipedia.org/wiki/Even_and_odd_numbershttp://en.wikipedia.org/wiki/Integerhttp://en.wikipedia.org/wiki/Definition_by_genus_and_differencehttp://en.wikipedia.org/wiki/Linnaean_taxonomyhttp://en.wikipedia.org/wiki/Biologyhttp://en.wikipedia.org/wiki/Biologyhttp://en.wikipedia.org/wiki/Linnaean_taxonomyhttp://en.wikipedia.org/wiki/Definition_by_genus_and_differencehttp://en.wikipedia.org/wiki/Integerhttp://en.wikipedia.org/wiki/Even_and_odd_numbershttp://en.wikipedia.org/wiki/Infinityhttp://en.wikipedia.org/wiki/Intensional_definition#cite_note-Cook-0http://en.wikipedia.org/wiki/Extensional_definitionhttp://en.wikipedia.org/wiki/Extensional_definitionhttp://en.wikipedia.org/wiki/Intensional_definition#cite_note-Cook-0http://en.wikipedia.org/wiki/Set_%28mathematics%29http://en.wikipedia.org/wiki/Necessary_and_sufficient_conditionshttp://en.wikipedia.org/wiki/Definitionhttp://en.wikipedia.org/wiki/Meaning_%28linguistic%29http://en.wikipedia.org/wiki/Mathematicshttp://en.wikipedia.org/wiki/Logic
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    Semantics

    Semantics (from Greek) is the study of meaning. It typically focuses on the

    relation between signifiers, such as words, phrases, signs and symbols, and

    what they stand for.

    Linguistic semantics is the study of meanings that humans use language to

    express. Other forms of semantics include the semantics of programming

    languages, formal logics, and semiotics.

    The word "semantics" itself denotes a range of ideas, from the popular to the

    highly technical. It is often used in ordinary language to denote a problem of

    understanding that comes down to word selection or connotation. This problem

    of understanding has been the subject of many formal inquiries, over a long

    period of time, most notably in the field offormal semantics. In linguistics, it is the

    study of interpretation of signs or symbols as used by agents or communities

    within particular circumstances and contexts. Within this view, sounds, facial

    expressions, body language, proxemics have semantic (meaningful) content, and

    each has several branches of study. In written language, such things as

    paragraph structure and punctuation have semantic content; in other forms oflanguage, there is other semantic content.

    The formal study of semantics intersects with many other fields of inquiry,

    including lexicology, syntax, pragmatics, etymology and others, although

    semantics is a well-defined field in its own right, often with synthetic properties. In

    philosophy of language, semantics and reference are related fields. Further

    related fields include philology,communication, and semiotics. The formal study

    of semantics is therefore complex.

    Semantics contrasts with syntax, the study of the combinatorics of units of a

    language (without reference to their meaning), and pragmatics, the study of the

    relationships between the symbols of a language, their meaning, and the users of

    the language.

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    Intensional definition also applies to rules or sets of axioms that generate all

    members of the set being defined. For example, an intensional definition of

    "square number" can be "any number that can be expressed as some integer

    multiplied by itself." The rule "take an integer and multiply it by itself"

    always generates members of the set of square numbers, no matter which

    integer one chooses, and for any square number, there is an integer that was

    multiplied by itself to get it.

    Similarly, an intensional definition of a game, such as chess, would be the rules

    of the game; any game played by those rules must be a game of chess, and any

    game properly called a game of chess must have been played by those rules.

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    Category of sets

    In the mathematical field of category theory, the category of sets, denoted as

    Set, is the category whose objects are sets. The arrows ormorphisms between

    setsA and B are all functions fromA to B. Care must be taken in the definition of

    Set to avoid set-theoretic paradoxes.

    The category of sets is the most basic and the most commonly used category in

    mathematics. Many other categories (such as the category of groups, with group

    homomorphisms as arrows) add structure to the objects of this category and/orrestrict the arrows to functions of a particular kind.

    Properties of the category of sets

    The epimorphisms in Set are the surjective maps, the monomorphisms are the

    injective maps, and the isomorphisms are the bijective maps.

    The empty set serves as the initial object in Set with empty functions as

    morphisms. Every singleton is a terminal object, with the functions mapping all

    elements of the source sets to the single target element as morphisms. There are

    thus no zero objects in Set.

    The category Set is complete and co-complete. The product in this category is

    given by the cartesian product of sets. The coproduct is given by the disjoint

    union: given sets Ai where i ranges over some index set I, we construct the

    coproduct as the union ofAi{i} (the cartesian product with iserves to ensure that

    all the components stay disjoint).

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    Set is the prototype of a concrete category; other categories are concrete if they

    "resemble" Set in some well-defined way.

    Every two-element set serves as a subobject classifierin Set. The power object

    of a setA is given by its power set, and the exponential object of the setsA and

    B is given by the set of all functions from A to B. Set is thus a topos (and in

    particularcartesian closed).

    Set is not abelian, additive or preadditive. Its zero morphisms are the empty

    functions X.

    Every not initial object in Set is injective and (assuming the axiom of choice)

    also projective.

    Foundations for the category of sets

    In ZermeloFraenkel set theory the collection of all sets is not a set; this follows

    from the axiom of foundation. One refers to collections that are not sets as proper

    classes. One can't handle proper classes as one handles sets; in particular, one

    can't write that those proper classes belong to a collection (either a set or a

    proper class). This is a problem: it means that the category of sets cannot be

    formalized straightforwardly in this setting.

    One way to resolve the problem is to work in a system that gives formal status to

    proper classes, such as NBG set theory. In this setting, categories formed from

    sets are said to be smalland those (like Set) that are formed from proper classes

    are said to be large.

    Another solution is to assume the existence ofGrothendieck universes. Roughly

    speaking, a Grothendieck universe is a set which is itself a model of ZF(C) (for

    instance if a set belongs to a universe, its elements and its powerset will belong

    to the universe). The existence of Grothendieck universes (other than the empty

    set and the set V of all hereditarily finite sets) is not implied by the usual ZF

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    axioms; it is an additional, independent axiom, roughly equivalent to the

    existence ofstrongly inaccessible cardinals. Assuming this extra axiom, one can

    limit the objects ofSet to the elements of a particular universe. (There is no "set

    of all sets" within the model, but one can still reason about the class Uof all inner

    sets, i. e., elements ofU.)

    In one variation of this scheme, the class of sets is the union of the entire tower

    of Grothendieck universes. (This is necessarily a proper class, but each

    Grothendieck universe is a set because it is an element of some larger

    Grothendieck universe.) However, one does not work directly with the "category

    of all sets". Instead, theorems are expressed in terms of the category SetUwhose

    objects are the elements of a sufficiently large Grothendieck universe U, and arethen shown not to depend on the particular choice of U. As a foundation for

    category theory, this approach is well matched to a system like Tarski-

    Grothendieck set theory in which one cannot reason directly about proper

    classes; its principal disadvantage is that a theorem can be true of all SetU but

    not ofSet.

    Various other solutions, and variations on the above, have been proposed.

    The same issues arise with other concrete categories, such as the category of

    groups or the category of topological spaces.

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    Set theory

    Set theory is the branch ofmathematics that studies sets, which are collections

    of objects. Although any type of object can be collected into a set, set theory is

    applied most often to objects that are relevant to mathematics.

    The modern study of set theory was initiated by Georg Cantor and Richard

    Dedekind in the 1870s. After the discovery of paradoxes in naive set theory,

    numerous axiom systems were proposed in the early twentieth century, of which

    the ZermeloFraenkel axioms, with the axiom of choice, are the best-known.

    The language of set theory is used in the definitions of nearly all mathematical

    objects, such as functions, and concepts of set theory are integrated throughout

    the mathematics curriculum. Elementary facts about sets and set membership

    can be introduced in primary school, along with Venn and Euler diagrams, to

    study collections of commonplace physical objects. Elementary operations such

    as set union and intersection can be studied in this context. More advanced

    concepts such as cardinality are a standard part of the undergraduate

    mathematics curriculum.

    Set theory is commonly employed as a foundational system for mathematics,

    particularly in the form ofZermeloFraenkel set theory with the axiom of choice.

    Beyond its foundational role, set theory is a branch of mathematics in its own

    right, with an active research community. Contemporary research into set theory

    includes a diverse collection of topics, ranging from the structure of the real

    numberline to the study of the consistency oflarge cardinals.

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    Class (set theory)

    In set theory and its applications throughout mathematics, a class is a collection

    ofsets (or sometimes other mathematical objects) which can be unambiguously

    defined by a property that all its members share. The precise definition of "class"

    depends on foundational context. In work on ZF set theory, the notion of class is

    informal, whereas other set theories, such as NBG set theory, axiomatize the

    notion of "class".

    Every set is a class, no matter which foundation is chosen. A class that is not a

    set (informally in ZermeloFraenkel) is called a proper class, and a class that is

    a set is sometimes called a small class. For instance, the class of all ordinal

    number, and the class of all set are proper classes in many formal systems.

    Outside set theory, the word "class" is sometimes used synonymously with "set".

    This usage dates from a historical period where classes and sets were not

    distinguished as they are in modern set-theoretic terminology. Many discussions

    of "classes" in the 19th century and earlier are really referring to sets, or perhaps

    to a more ambiguous concept.

    Examples

    The collection of all algebraic objects of a given type will usually be a proper

    class. Examples include the class of all groups, the class of all vector spaces,

    and many others. In category theory, a category whose collection of objects

    forms a proper class (or whose collection of morphisms forms a proper class) is

    called a large category.

    The surreal numbers are a proper class of objects that has the properties of a

    field.

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    Within set theory, many collections of sets turn out to be proper classes.

    Examples include the class of all sets, the class of all ordinal numbers, and the

    class of all cardinal numbers.

    One way to prove that a class is proper is to place it in bijection with the class of

    all ordinal numbers. This method is used, for example, in the proof that there is

    no free complete lattice.

    Paradoxes

    The paradoxes of naive set theory can be explained in terms of the inconsistent

    assumption that "all classes are sets". With a rigorous foundation, these

    paradoxes instead suggest proofs that certain classes are proper. For example,

    Russell's paradox suggests a proof that the class of all sets which do not contain

    themselves is proper, and the Burali-Forti paradox suggests that the class of all

    ordinal numbers is proper.

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    Classes in formal set theories

    ZF set theory does not formalize the notion of classes. They can instead be

    described in the metalanguage, as equivalence classes of logical formulas. For

    example, if is a structure interpreting ZF, then the metalanguage expression

    is interpreted in by the collection of all the elements from the

    domain of ; that is, all the sets in . So we can identify the "class of all sets"

    with the predicatex=xor any equivalent predicate.

    Because classes do not have any formal status in the theory of ZF, the axioms of

    ZF do not immediately apply to classes. However, if an inaccessible cardinal is

    assumed, then the sets of smaller rank form a model of ZF (a Grothendieck

    universe), and its subsets can be thought of as "classes".

    Another approach is taken by the von NeumannBernaysGdel axioms (NBG);

    classes are the basic objects in this theory, and a set is then defined to be a

    class that is an element of some other class. However, the set existence axioms

    of NBG are restricted so that they only quantify over sets, rather than over all

    classes. This causes NBG to be a conservative extension of ZF.

    MorseKelley set theory admits proper classes as basic objects, like NBG, but

    also allows quantification over all proper classes in its set existence axioms. This

    causes MK to be strictly stronger than both NBG and ZF.

    In other set theories, such as New Foundations or the theory of semisets, the

    concept of "proper class" still makes sense (not all classes are sets) but the

    criterion of sethood is not closed under subsets. For example, any set theory with

    a universal set has proper classes which are subclasses of sets.

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    Family of sets

    In set theory and related branches ofmathematics, a collection Fofsubsets of a

    given set S is called a family of subsets ofS, or a family of sets overS. More

    generally, a collection of any sets whatsoever is called a family of sets.

    Examples

    The power set P(S) is a family of sets overS.

    Thek-subsets S(k) of ann-set S form a family of sets.

    The class Ord of all ordinal numbers is a large family of sets; that is, it is

    not itself a set but instead a proper class.

    Properties

    Any family of subsets ofS is itself a subset of the power set P(S).

    Any family of sets whatsoever is a subclass of the proper class V of allsets (the universe).

    Related concepts

    Certain types of objects from other areas of mathematics are equivalent to

    families of sets, in that they can be described purely as a collection of sets of

    objects of some type:

    A hypergraph, also called a set system, is formed by a set of vertices

    together with another set of hyperedges, each of which may be an

    arbitrary set. The hyperedges of a hypergraph form a family of sets, and

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    any family of sets can be interpreted as a hypergraph that has the union of

    the sets as its vertices.

    An abstract simplicial complex is a combinatorial abstraction of the notion

    of a simplicial complex, a shape formed by unions of line segments,

    triangles, tetrahedra, and higher dimensional simplices, joined face to

    face. In an abstract simplicial complex, each simplex is represented simply

    as the set of its vertices. Any family of finite sets in which the subsets of

    any set in the family also belong to the family forms an abstract simplicial

    complex.

    An incidence structure consists of a set ofpoints, a set of lines, and an

    (arbitrary) binary relation specifying which points belong to which lines. If

    no two lines contain the same set of points, an incidence structure can be

    specified by a family of sets, the sets of points belonging to each line, and

    any family of sets can be interpreted as an incidence structure in this way.

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    Power set

    The elements of the power set of the set {x, y, z} ordered in respect to inclusion.

    In mathematics, given a set S, the power set (orpower set) ofS, written ,

    P(S), (S) or2S, is the set of all subsets ofS, including the empty set and S

    itself. In axiomatic set theory (as developed e.g. in the ZFC axioms), the

    existence of the power set of any set is postulated by the axiom of power set.

    Any subset Fof is called afamily of setsoverS. Example:

    IfS is the set {x, y, z}, then the subsets ofS are:

    {} (also denoted , the empty set)

    {x}

    {y}

    {z}

    {x, y}

    {x, z}

    {y, z}

    {x, y, z}

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    hence the power set ofS is

    Properties

    If S is a finite set with |S| = n elements, then the power set of S contains

    elements.

    Cantor's diagonal argument shows that the power set of a set (whether infinite or

    not) always has strictly highercardinality than the set itself (informally the power

    set must be larger than the original set). In particular, Cantor's theorem shows

    that the power set of a countably infinite set is uncountably infinite. For example,

    the power set of the set of natural numbers can be put in a one-to-one

    correspondence with the set ofreal numbers (see cardinality of the continuum).

    The power set of a set S, together with the operations ofunion, intersection and

    complement can be viewed as the prototypical example of a Boolean algebra. In

    fact, one can show that any finite Boolean algebra is isomorphic to the Boolean

    algebra of the power set of a finite set. For infinite Boolean algebras this is no

    longer true, but every infinite Boolean algebra is a subalgebra of a power set

    Boolean algebra (see Stone's representation theorem).

    The power set of a set S forms an Abelian group when considered with the

    operation of symmetric difference (with the empty set as its unit and each set

    being its own inverse) and a commutative monoid when considered with the

    operation of intersection. It can hence be shown (by proving the distributive laws)

    that the power set considered together with both of these operations forms a

    commutative ring.

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    Representing subsets as functions

    In set theory, XY is the set of all functions from Y toX. As 2 can be defined as

    {0,1} (see natural number), 2S

    (i.e., {0,1}S) is the set of all functions from S to

    {0,1}. By identifying a function in 2S

    with the corresponding preimage of 1, we see

    that there is a bijection between 2S

    and , where each function is the

    characteristic function of the subset in with which it is identified. Hence 2S

    and could be considered identical set-theoretically. (Thus there are two

    distinct notational motivations for denoting the power set by 2S: the fact that this

    function-representation of subsets makes it a special case of theXYnotation and

    the property, mentioned above, that |2S| = 2|S|.)

    We can apply this notion to the example above to see the isomorphism with the

    binary numbers from 0 to 2n-1 with n being the number of elements in the set. In

    S, a 1 in the position corresponding to the location in the set indicates the

    presence of the element. So {x, y} = 110

    For the whole power set ofS we get:

    { } = 000 (Binary) = 0 (Decimal)

    {x} = 100 = 4

    {y} = 010 = 2

    {z} = 001 = 1

    {x, y} = 110 = 6

    {x, z} = 101 = 5

    {y, z} = 011 = 3

    {x, y, z} = 111 = 7

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    Relation to binomial theorem

    The power set is closely related to the binomial theorem. The number of sets with

    kelements in the power set of a set with n elements will be a combination C(n,k),

    also called a binomial coefficient.

    For example the power set of a set with three elements, has:

    C(3,0) = 1 set with 0 elements

    C(3,1) = 3 sets with 1 element

    C(3,2) = 3 sets with 2 elements

    C(3,3) = 1 set with 3 elements.

    Algorithms

    If is a finite set, there is a recursive algorithm to calculate .

    Define the operation

    In English, return the set with the element added to each set in .

    If ,then is returned.

    Otherwise:

    Let be any single element of .

    Let , where ' ' denotes the relative

    complement of in .

    And the result: is returned.

    In other words, the power set of the empty set is the set containing the empty set

    and the power set of any other set is all the subsets of the set containing some

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    specific element and all the subsets of the set not containing that specific

    element.

    There are other more efficient ways to calculate the power set. For example, use

    a list of the n elements of S to fix a mapping from the bit positions of n-bit

    numbers to those elements; then with a simple loop run through all the 2n

    numbers representable with n bits, and for each contribute the subset of S

    corresponding to the bits that are set (to 1) in the number. When n exceeds the

    word-length of the computer, typically 64 in modern CPUs but greater in modern

    GPUs, the representation is naturally extended by using an array of words

    instead of a single word.

    Subsets of limited cardinality

    The set of subsets of S of cardinality less than is denoted by or

    Similarly, the set of non-empty subsets of S might be denoted by

    Topologization of power set

    Since any family of functions XY from Y to Xmight be topologized establishing

    the so-called function space, the same can be done with the power set 2S

    identified as {0,1}S. This particular type of function space is often called a

    hyperspace and the topology on the power set is referred to as hypertopology.

    Power object

    A set can be regarded as an algebra having no nontrivial operations or defining

    equations. From this perspective the idea of the power set ofX as the set of

    subsets ofXgeneralizes naturally to the subalgebras of an algebraic structure or

    algebra.

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    Now the power set of a set, when ordered by inclusion, is always a complete

    atomic Boolean algebra, and every complete atomic Boolean algebra arises as

    the lattice of all subsets of some set. The generalization to arbitrary algebras is

    that the set of subalgebras of an algebra, again ordered by inclusion, is always

    an algebraic lattice, and every algebraic lattice arises as the lattice of

    subalgebras of some algebra. So in that regard subalgebras behave analogously

    to subsets.

    However there are two important properties of subsets that do not carry over to

    subalgebras in general. Firstly, although the subsets of a set form a set (as well

    as a lattice), in some classes it may not be possible to organize the subalgebras

    of an algebra as itself an algebra in that class, although they can always beorganized as a lattice. Secondly, whereas the subsets of a set are in bijection

    with the functions from that set to the set {0,1} = 2, there is no guarantee that a

    class of algebras contains an algebra that can play the role of 2 in this way.

    Certain classes of algebras do enjoy both these properties. The first property is

    more common, the case of having both is relatively rare. One class that does

    have both is that of multigraphs. Given two multigraphs G and H, a

    homomorphism h: G H consists of two functions, one mapping vertices tovertices and the other mapping edges to edges. The set HG of homomorphisms

    from G to Hcan then be organized as the graph whose vertices and edges are

    respectively the vertex and edge functions appearing in that set. Furthermore the

    subgraphs of a multigraph G are in bijection with the graph homomorphisms from

    G to the multigraph definable as the complete directed graph on two vertices

    (hence four edges, namely two self-loops and two more edges forming a cycle)

    augmented with a fifth edge, namely a second self-loop at one of the vertices.

    We can therefore organize the subgraphs ofGas the multigraph G, called the

    power object ofG.

    What is special about a multigraph as an algebra is that its operations are unary.

    A multigraph has two sorts of elements forming a set V of vertices and E of

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    edges, and has two unary operations s,t: E V giving the source (start) and

    target (end) vertices of each edge. An algebra all of whose operations are unary

    is called a presheaf. Every class of presheaves contains a presheaf that p lays

    the role for subalgebras that 2 plays for subsets. Such a class is a special case

    of the more general notion of elementary topos as a category that is closed (and

    moreover cartesian closed) and has an object , called a subobject classifier.

    Although the term "power object" is sometimes used synonymously with

    exponential object YX

    , in topos theory Yis required to be

    Fuzzy set

    Fuzzy sets are sets whose elements have degrees of membership. Fuzzy setswere introduced by Lotfi A. Zadeh (1965) as an extension of the classical notion

    ofset. In classical set theory, the membership of elements in a set is assessed in

    binary terms according to a bivalent condition an element either belongs or

    does not belong to the set. By contrast, fuzzy set theory permits the gradual

    assessment of the membership of elements in a set; this is described with the aid

    of a membership function valued in the real unit interval [0, 1]. Fuzzy sets

    generalize classical sets, since the indicator functions of classical sets are

    special cases of the membership functions of fuzzy sets, if the latter only take

    values 0 or 1. Classical bivalent sets are in fuzzy set theory usually called crisp

    sets. The fuzzy set theory can be used in a wide range of domains in which

    information is incomplete or imprecise, such as bioinformatics.

    Definition

    A fuzzy set is a pair (A,m) whereA is a set and .

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    For each , m(x) is called the grade of membership ofx in (A,m). For a

    finite setA = {x1,...,xn}, the fuzzy set (A,m) is often denoted by {m(x1) /x1,...,m(xn)

    /xn}.

    Let . Thenxis called not included in the fuzzy set (A,m) ifm(x) = 0,xis

    called fully included ifm(x) = 1, andx is called fuzzy member if 0 < m(x) < 1.

    The set is called the support of (A,m) and the set

    is called its kernel.

    Sometimes, more general variants of the notion of fuzzy set are used, with

    membership functions taking values in a (fixed or variable) algebra orstructure L

    of a given kind; usually it is required that L be at least a poset or lattice. The

    usual membership functions with values in [0, 1] are then called [0, 1]-valued

    membership functions.

    Fuzzy logic

    As an extension of the case ofmulti-valued logic, valuations ( ) of

    propositional variables (Vo) into a set of membership degrees (W) can be thought

    of as membership functions mapping predicates into fuzzy sets (or more formally,

    into an ordered set of fuzzy pairs, called a fuzzy relation). With these valuations,

    many-valued logic can be extended to allow for fuzzy premises from which

    graded conclusions may be drawn.

    This extension is sometimes called "fuzzy logic in the narrow sense" as opposed

    to "fuzzy logic in the wider sense," which originated in the engineering fields of

    automated control and knowledge engineering, and which encompasses many

    topics involving fuzzy sets and "approximated reasoning. Industrial applications

    of fuzzy sets in the context of "fuzzy logic in the wider sense" can be found at

    fuzzy logic.

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    Fuzzy number

    A fuzzy number is a convex,normalized fuzzy set whose membership

    function is at least segmentally continuous and has the functional value A(x) = 1

    at precisely one element.

    Internal set

    In mathematical logic, in particular in model theory and non-standard analysis, an

    internal set is a set that is a member of a model.

    Internal set is the key tool in formulating the transfer principle, which concerns

    the logical relation between the properties of the real numbers R, and the

    properties of a larger field denoted *R called the hyperreals. The field *R

    includes, in particular, infinitesimal ("infinitely small") numbers, providing a

    rigorous mathematical realisation of a project initiated by Leibniz. Roughly

    speaking, the idea is to express analysis over R in a suitable language of

    mathematical logic, and then point out that this language applies equally well to

    *R. This turns out to be possible because at the set-theoretic level, the

    propositions in such a language are interpreted to apply only to internal sets

    rather than to all sets (note that the term "language" is used in a loose sense in

    the above).

    Internal sets in the ultrapower construction

    Relative to the ultrapowerconstruction of the hyperreal numbers as equivalence

    classes of sequences , an internal subset [An] of *R is one defined by a

    sequence of real sets , where a hyperreal [un] is said to belong to the set

    if and only if the set of indices n such that , is a member of

    the ultrafilter used in the construction of *R. This can be likened to the funfair

    game "guess your weight," where someone guesses the contestant's weight, with

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    closer guesses being more correct, and where the guesser "wins" if he or she

    guesses near enough to the contestant's weight, with the actual weight being

    completely correct (mapping to 1 by the membership function).

    Fuzzy interval

    A fuzzy interval is an uncertain set with a mean interval whose elements

    possess the membership function value A(x) = 1. As in fuzzy numbers, the

    membership function must be convex, normalized, at least segmentally

    continuous.

    Internal set theory

    Internal set theory (IST) is a mathematical theory ofsets developed by Edward

    Nelson that provides an axiomatic basis for a portion of the non-standard

    analysis introduced by Abraham Robinson. Instead of adding new elements to

    the real numbers, the axioms introduce a new term, "standard", which can be

    used to make discriminations not possible under the conventional axioms for

    sets. Thus, the starting point of IST is a modification of ZFC. In particular, non-

    standard elements within the set of real numbers can be shown to have

    properties that correspond to the properties of infinitesimal and unlimited

    elements.

    Nelson's formulation is made more accessible for the lay-mathematician by

    leaving out many of the complexities of meta-mathematical logic that were

    initially required to justify rigorously the consistency of infinitesimal elements.

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    Intuitive justification

    Whilst IST has a perfectly formal axiomatic scheme, described below, an intuitive

    justification of the meaning of the term 'standard' is desirable. This is not part of

    the official theory, but is a pedagogical device that might help the student engage

    with the formalism. The essential distinction, similar to the concept of definable

    numbers, contrasts the finiteness of the domain of concepts that we can specify

    and discuss with the unbounded infinity of the set of numbers; compare finitism.

    The number of symbols we write with is finite.

    The number of mathematical symbols on any given page is finite.

    The number of pages of mathematics a single mathematician can producein a lifetime is finite.

    Any workable mathematical definition is necessarily finite.

    There are only a finite number of distinct objects a mathematician can

    define in a lifetime.

    There will only be a finite number of mathematicians in the course of our

    (presumably finite) civilisation.

    Hence there is only a finite set of whole numbers our civilisation can

    discuss in its allotted timespan.

    What that limit actually is, is unknowable to us, being contingent on many

    accidental cultural factors.

    This limitation is not in itself susceptible to mathematical scrutiny, but the

    fact that there is such a limit, whilst the set of whole numbers continues

    forever without bound, is a mathematical truth.

    The term standard is therefore intuitively taken to correspond to somenecessarily finite portion of "accessible" whole numbers. In fact the argument can

    be applied to any infinite set of objects whatsoever - there are only so many

    elements that we can specify in finite time using a finite set of symbols and there

    are always those that lie beyond the limits of our patience and endurance, no

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    matter how we persevere. We must admit to a profusion of non-standard

    elements too large or too anonymous to grasp within any infinite set.

    Principles of the standardpredicate

    The following principles follow from the above intuitive motivation and so should

    be deducible from the formal axioms. For the moment we take the domain of

    discussion as being the familiar set of whole numbers.

    Any mathematical expression that does not use the new predicate

    standardexplicitly or implicitly is a Classical Formula.

    Any definition that does so is a Non-Classical Formula.

    Any number uniquely specified by a classical formula is standard (by

    definition).

    Non-standard numbers are precisely those that cannot be uniquely

    specified (due to limitations of time and space) by a classical formula.

    Non-standard numbers are elusive: each one is too enormous to be

    manageable in decimal notation or any other representation, explicit or

    implicit, no matter how ingenious your notation. Whatever you succeed in

    producing is by-definition merely another standard number. Nevertheless, there are (many) non-standard whole numbers in any

    infinite subset ofN.

    Non-standard numbers are completely ordinary numbers, having decimal

    representations, prime factorisations, etc. Every classical theorem that

    applies to the natural numbers applies to the non-standard natural

    numbers. We have created, not new numbers, but a new method of

    discriminating between existing numbers.

    Moreover - any classical theorem that is true for all standard numbers is

    necessarily true for all natural numbers. Otherwise the formulation "the

    smallest number that fails to satisfy the theorem" would be a classical

    formula that uniquely defined a non-standard number.

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    The predicate "non-standard" is a logically consistent method for

    distinguishing large numbers - the usual term will be illimited. Reciprocals

    of these illimited numbers will necessarily be extremely small real

    numbers - infinitesimals. To avoid confusion with other interpretations of

    these words, in newer articles on IST those words are replaced with the

    constructs "i-large" and "i-small".

    There are necessarily only finitely many standard numbers - but caution is

    required: we cannot gather them together and hold that the result is a well-

    defined mathematical set. This will not be supported by the formalism (the

    intuitive justification being that the precise bounds of this set vary with time

    and history). In particular we will not be able to talk about the largest

    standard number, or the smallest non-standard number. It will be valid to

    talk about some finite set that contains all sta