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mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, the algebra of sets, not to be confused with the mathematical structure of ''an'' algebra of sets, defines the properties and laws of sets, the set-theoretic operations of union, intersection, and complementation and the relations of set equality and set inclusion. It also provides systematic procedures for evaluating expressions, and performing calculations, involving these operations and relations. Any set of sets closed under the set-theoretic operations forms a
Boolean algebra In mathematics and mathematical logic, Boolean algebra is a branch of algebra. It differs from elementary algebra in two ways. First, the values of the variables are the truth values ''true'' and ''false'', usually denoted 1 and 0, whereas i ...
with the join operator being ''union'', the meet operator being ''intersection'', the complement operator being ''set complement'', the bottom being \varnothing and the top being the
universe The universe is all of space and time and their contents, including planets, stars, galaxies, and all other forms of matter and energy. The Big Bang theory is the prevailing cosmological description of the development of the univers ...
set under consideration.


Fundamentals

The algebra of sets is the set-theoretic analogue of the algebra of numbers. Just as arithmetic addition and multiplication are associative and commutative, so are set union and intersection; just as the arithmetic relation "less than or equal" is reflexive, antisymmetric and transitive, so is the set relation of "subset". It is the algebra of the set-theoretic operations of union, intersection and complementation, and the relations of equality and inclusion. For a basic introduction to sets see the article on sets, for a fuller account see naive set theory, and for a full rigorous axiomatic treatment see axiomatic set theory.


The fundamental properties of set algebra

The binary operations of set union (\cup) and intersection (\cap) satisfy many identities. Several of these identities or "laws" have well established names. : Commutative property: ::*A \cup B = B \cup A ::*A \cap B = B \cap A :
Associative property In mathematics, the associative property is a property of some binary operations, which means that rearranging the parentheses in an expression will not change the result. In propositional logic, associativity is a valid rule of replaceme ...
: ::*(A \cup B) \cup C = A \cup (B \cup C) ::*(A \cap B) \cap C = A \cap (B \cap C) : Distributive property: ::*A \cup (B \cap C) = (A \cup B) \cap (A \cup C) ::*A \cap (B \cup C) = (A \cap B) \cup (A \cap C) The union and intersection of sets may be seen as analogous to the addition and multiplication of numbers. Like addition and multiplication, the operations of union and intersection are commutative and associative, and intersection ''distributes'' over union. However, unlike addition and multiplication, union also distributes over intersection. Two additional pairs of properties involve the special sets called the empty set Ø and the universe set U; together with the complement operator (A^C denotes the complement of A. This can also be written as A', read as A prime). The empty set has no members, and the universe set has all possible members (in a particular context). :Identity : ::*A \cup \varnothing = A ::*A \cap U = A :Complement : ::*A \cup A^C = U ::*A \cap A^C = \varnothing The identity expressions (together with the commutative expressions) say that, just like 0 and 1 for addition and multiplication, Ø and U are the identity elements for union and intersection, respectively. Unlike addition and multiplication, union and intersection do not have inverse elements. However the complement laws give the fundamental properties of the somewhat inverse-like unary operation of set complementation. The preceding five pairs of formulae—the commutative, associative, distributive, identity and complement formulae—encompass all of set algebra, in the sense that every valid proposition in the algebra of sets can be derived from them. Note that if the complement formulae are weakened to the rule (A^C)^C = A , then this is exactly the algebra of propositional linear logic.


The principle of duality

Each of the identities stated above is one of a pair of identities such that each can be transformed into the other by interchanging ∪ and ∩, and also Ø and U. These are examples of an extremely important and powerful property of set algebra, namely, the principle of duality for sets, which asserts that for any true statement about sets, the dual statement obtained by interchanging unions and intersections, interchanging U and Ø and reversing inclusions is also true. A statement is said to be self-dual if it is equal to its own dual.


Some additional laws for unions and intersections

The following proposition states six more important laws of set algebra, involving unions and intersections. PROPOSITION 3: For any
subset In mathematics, set ''A'' is a subset of a set ''B'' if all elements of ''A'' are also elements of ''B''; ''B'' is then a superset of ''A''. It is possible for ''A'' and ''B'' to be equal; if they are unequal, then ''A'' is a proper subset of ...
s ''A'' and ''B'' of a universe set U, the following identities hold: : idempotent laws: ::*A \cup A = A ::*A \cap A = A :domination laws: ::*A \cup U = U ::*A \cap \varnothing = \varnothing : absorption laws: ::*A \cup (A \cap B) = A ::*A \cap (A \cup B) = A As noted above, each of the laws stated in proposition 3 can be derived from the five fundamental pairs of laws stated above. As an illustration, a proof is given below for the idempotent law for union. ''Proof:'' The following proof illustrates that the dual of the above proof is the proof of the dual of the idempotent law for union, namely the idempotent law for intersection. ''Proof:'' Intersection can be expressed in terms of set difference : A \cap B = A \setminus (A \setminus B)


Some additional laws for complements

The following proposition states five more important laws of set algebra, involving complements. PROPOSITION 4: Let ''A'' and ''B'' be
subset In mathematics, set ''A'' is a subset of a set ''B'' if all elements of ''A'' are also elements of ''B''; ''B'' is then a superset of ''A''. It is possible for ''A'' and ''B'' to be equal; if they are unequal, then ''A'' is a proper subset of ...
s of a universe U, then: : De Morgan's laws: ::*(A \cup B)^C = A^C \cap B^C ::*(A \cap B)^C = A^C \cup B^C :double complement or involution law: ::*^ = A :complement laws for the universe set and the empty set: ::*\varnothing^C = U ::*U^C = \varnothing Notice that the double complement law is self-dual. The next proposition, which is also self-dual, says that the complement of a set is the only set that satisfies the complement laws. In other words, complementation is characterized by the complement laws. PROPOSITION 5: Let ''A'' and ''B'' be subsets of a universe U, then: :uniqueness of complements: ::*If A \cup B = U, and A \cap B = \varnothing, then B = A^C


The algebra of inclusion

The following proposition says that inclusion, that is the binary relation of one set being a subset of another, is a
partial order In mathematics, especially order theory, a partially ordered set (also poset) formalizes and generalizes the intuitive concept of an ordering, sequencing, or arrangement of the elements of a set. A poset consists of a set together with a binary ...
. PROPOSITION 6: If ''A'', ''B'' and ''C'' are sets then the following hold: : reflexivity: ::*A \subseteq A : antisymmetry: ::*A \subseteq B and B \subseteq A if and only if A = B : transitivity: ::*If A \subseteq B and B \subseteq C, then A \subseteq C The following proposition says that for any set ''S'', the power set of ''S'', ordered by inclusion, is a bounded lattice, and hence together with the distributive and complement laws above, show that it is a
Boolean algebra In mathematics and mathematical logic, Boolean algebra is a branch of algebra. It differs from elementary algebra in two ways. First, the values of the variables are the truth values ''true'' and ''false'', usually denoted 1 and 0, whereas i ...
. PROPOSITION 7: If ''A'', ''B'' and ''C'' are subsets of a set ''S'' then the following hold: :existence of a least element and a greatest element: ::*\varnothing \subseteq A \subseteq S :existence of joins: ::*A \subseteq A \cup B ::*If A \subseteq C and B \subseteq C, then A \cup B \subseteq C :existence of meets: ::*A \cap B \subseteq A ::*If C \subseteq A and C \subseteq B, then C \subseteq A \cap B The following proposition says that the statement A \subseteq B is equivalent to various other statements involving unions, intersections and complements. PROPOSITION 8: For any two sets ''A'' and ''B'', the following are equivalent: :*A \subseteq B :*A \cap B = A :*A \cup B = B :*A \setminus B = \varnothing :*B^C \subseteq A^C The above proposition shows that the relation of set inclusion can be characterized by either of the operations of set union or set intersection, which means that the notion of set inclusion is axiomatically superfluous.


The algebra of relative complements

The following proposition lists several identities concerning relative complements and set-theoretic differences. PROPOSITION 9: For any universe U and subsets ''A'', ''B'', and ''C'' of U, the following identities hold: :*C \setminus (A \cap B) = (C \setminus A) \cup (C \setminus B) :*C \setminus (A \cup B) = (C \setminus A) \cap (C \setminus B) :*C \setminus (B \setminus A) = (A \cap C)\cup(C \setminus B) :*(B \setminus A) \cap C = (B \cap C) \setminus A = B \cap (C \setminus A) :*(B \setminus A) \cup C = (B \cup C) \setminus (A \setminus C) :*(B \setminus A) \setminus C = B \setminus (A \cup C) :*A \setminus A = \varnothing :*\varnothing \setminus A = \varnothing :*A \setminus \varnothing = A :*B \setminus A = A^C \cap B :*(B \setminus A)^C = A \cup B^C :*U \setminus A = A^C :*A \setminus U = \varnothing


See also

* σ-algebra is an algebra of sets, completed to include countably infinite operations. * Axiomatic set theory * Image (mathematics)#Properties *
Field of sets In mathematics, a field of sets is a mathematical structure consisting of a pair ( X, \mathcal ) consisting of a set X and a family \mathcal of subsets of X called an algebra over X that contains the empty set as an element, and is closed unde ...
* List of set identities and relations * Naive set theory *
Set (mathematics) A set is the mathematical model for a collection of different things; a set contains '' elements'' or ''members'', which can be mathematical objects of any kind: numbers, symbols, points in space, lines, other geometrical shapes, variables, o ...
*
Topological space In mathematics, a topological space is, roughly speaking, a geometrical space in which closeness is defined but cannot necessarily be measured by a numeric distance. More specifically, a topological space is a set whose elements are called poin ...
— a subset of \wp(X), the power set of X, closed with respect to arbitrary union, finite intersection and containing \emptyset and X.


References

* Stoll, Robert R.; ''Set Theory and Logic'', Mineola, N.Y.: Dover Publications (1979)
"The Algebra of Sets", pp 16—23
* Courant, Richard, Herbert Robbins, Ian Stewart, ''What is mathematics?: An Elementary Approach to Ideas and Methods'', Oxford University Press US, 1996.
"SUPPLEMENT TO CHAPTER II THE ALGEBRA OF SETS"


External links



{{Mathematical logic Basic concepts in set theory