Union (set theory) explained

In set theory, the union (denoted by ∪) of a collection of sets is the set of all elements in the collection.[1] It is one of the fundamental operations through which sets can be combined and related to each other. A refers to a union of zero sets and it is by definition equal to the empty set.

For explanation of the symbols used in this article, refer to the table of mathematical symbols.

Union of two sets

The union of two sets A and B is the set of elements which are in A, in B, or in both A and B.[2] In set-builder notation,

A\cupB=\{x:x\inAorx\inB\}

.[3]

For example, if A = and B = then AB = . A more elaborate example (involving two infinite sets) is:

A =

B =

A\cupB=\{2,3,4,5,6,...\}

As another example, the number 9 is not contained in the union of the set of prime numbers and the set of even numbers, because 9 is neither prime nor even.

Sets cannot have duplicate elements,[4] so the union of the sets and is . Multiple occurrences of identical elements have no effect on the cardinality of a set or its contents.

Algebraic properties

See also: List of set identities and relations and Algebra of sets.

Binary union is an associative operation; that is, for any sets,A \cup (B \cup C) = (A \cup B) \cup C.Thus, the parentheses may be omitted without ambiguity: either of the above can be written as . Also, union is commutative, so the sets can be written in any order.[5] The empty set is an identity element for the operation of union. That is,, for any set . Also, the union operation is idempotent: . All these properties follow from analogous facts about logical disjunction.

Intersection distributes over unionA \cap (B \cup C) = (A \cap B)\cup(A \cap C) and union distributes over intersectionA \cup (B \cap C) = (A \cup B) \cap (A \cup C).The power set of a set, together with the operations given by union, intersection, and complementation, is a Boolean algebra. In this Boolean algebra, union can be expressed in terms of intersection and complementation by the formulaA \cup B = (A^\complement \cap B^\complement)^\complement,where the superscript

{}\complement

denotes the complement in the universal set .

Finite unions

One can take the union of several sets simultaneously. For example, the union of three sets A, B, and C contains all elements of A, all elements of B, and all elements of C, and nothing else. Thus, x is an element of ABC if and only if x is in at least one of A, B, and C.

A finite union is the union of a finite number of sets; the phrase does not imply that the union set is a finite set.[6] [7]

Arbitrary unions

The most general notion is the union of an arbitrary collection of sets, sometimes called an infinitary union. If M is a set or class whose elements are sets, then x is an element of the union of M if and only if there is at least one element A of M such that x is an element of A.[8] In symbols:

x\incupM\iff\existsA\inM,x\inA.

This idea subsumes the preceding sections—for example, ABC is the union of the collection . Also, if M is the empty collection, then the union of M is the empty set.

Notations

The notation for the general concept can vary considerably. For a finite union of sets

S1,S2,S3,...,Sn

one often writes

S1\cupS2\cupS3\cup...\cupSn

or \bigcup_^n S_i. Various common notations for arbitrary unions include \bigcup \mathbf, \bigcup_ A, and \bigcup_ A_. The last of these notations refers to the union of the collection

\left\{Ai:i\inI\right\}

, where I is an index set and

Ai

is a set for every . In the case that the index set I is the set of natural numbers, one uses the notation \bigcup_^ A_, which is analogous to that of the infinite sums in series.

When the symbol "∪" is placed before other symbols (instead of between them), it is usually rendered as a larger size.

Notation encoding

In Unicode, union is represented by the character .[9] In TeX,

\cup

is rendered from \cup and \bigcup is rendered from \bigcup.

See also

External links

Notes and References

  1. Web site: Weisstein . Eric W . Union . live . https://web.archive.org/web/20090207202412/http://mathworld.wolfram.com/Union.html . 2009-02-07 . 2009-07-14 . Wolfram Mathworld.
  2. Web site: Set Operations Union Intersection Complement Difference Mutually Exclusive Partitions De Morgan's Law Distributive Law Cartesian Product . 2020-09-05 . Probability Course.
  3. Book: Vereshchagin, Nikolai Konstantinovich. Basic Set Theory. Shen. Alexander. 2002-01-01. American Mathematical Soc.. 9780821827314. en.
  4. Book: deHaan, Lex. Applied Mathematics for Database Professionals. Koppelaars. Toon. 2007-10-25. Apress. 9781430203483. en.
  5. Book: Halmos, P. R.. Naive Set Theory. 2013-11-27. Springer Science & Business Media. 9781475716450. en.
  6. Book: Dasgupta, Abhijit. Set Theory: With an Introduction to Real Point Sets. 2013-12-11. Springer Science & Business Media. 9781461488545. en.
  7. Web site: Finite Union of Finite Sets is Finite . live . https://web.archive.org/web/20140911224545/https://proofwiki.org/wiki/Finite_Union_of_Finite_Sets_is_Finite . 11 September 2014 . 29 April 2018 . ProofWiki.
  8. Book: Smith, Douglas . A Transition to Advanced Mathematics . Eggen . Maurice . Andre . Richard St . 2014-08-01 . Cengage Learning . 9781285463261 . en . registration.
  9. Web site: The Unicode Standard, Version 15.0 – Mathematical Operators – Range: 2200–22FF . . 3.