Intersection (set theory)
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The intersection of two sets {\displaystyle A} and {\displaystyle B,} represented by circles. {\displaystyle A\cap B} is in red. | |
Type | Set operation |
---|---|
Field | Set theory |
Statement | The intersection of {\displaystyle A} and {\displaystyle B} is the set {\displaystyle A\cap B} of elements that lie in both set {\displaystyle A} and set {\displaystyle B}. |
Symbolic statement | {\displaystyle A\cap B=\{x:x\in A{\text{ and }}x\in B\}} |
In set theory, the intersection of two sets {\displaystyle A} and {\displaystyle B,} denoted by {\displaystyle A\cap B,}[1] is the set containing all elements of {\displaystyle A} that also belong to {\displaystyle B} or equivalently, all elements of {\displaystyle B} that also belong to {\displaystyle A.}[2]
Notation and terminology
[edit ]Intersection is written using the symbol "{\displaystyle \cap }" between the terms; that is, in infix notation. For example: {\displaystyle \{1,2,3\}\cap \{2,3,4\}=\{2,3\}} {\displaystyle \{1,2,3\}\cap \{4,5,6\}=\varnothing } {\displaystyle \mathbb {Z} \cap \mathbb {N} =\mathbb {N} } {\displaystyle \{x\in \mathbb {R} :x^{2}=1\}\cap \mathbb {N} =\{1\}} The intersection of more than two sets (generalized intersection) can be written as: {\displaystyle \bigcap _{i=1}^{n}A_{i}} which is similar to capital-sigma notation.
For an explanation of the symbols used in this article, refer to the table of mathematical symbols.
Definition
[edit ]The intersection of two sets {\displaystyle A} and {\displaystyle B,} denoted by {\displaystyle A\cap B},[3] is the set of all objects that are members of both the sets {\displaystyle A} and {\displaystyle B.} In symbols: {\displaystyle A\cap B=\{x:x\in A{\text{ and }}x\in B\}.}
That is, {\displaystyle x} is an element of the intersection {\displaystyle A\cap B} if and only if {\displaystyle x} is both an element of {\displaystyle A} and an element of {\displaystyle B.}[3]
For example:
- The intersection of the sets {1, 2, 3} and {2, 3, 4} is {2, 3}.
- The number 9 is not in the intersection of the set of prime numbers {2, 3, 5, 7, 11, ...} and the set of odd numbers {1, 3, 5, 7, 9, 11, ...}, because 9 is not prime.
Intersecting and disjoint sets
[edit ]We say that {\displaystyle A} intersects (meets) {\displaystyle B} if there exists some {\displaystyle x} that is an element of both {\displaystyle A} and {\displaystyle B,} in which case we also say that {\displaystyle A} intersects (meets) {\displaystyle B} at {\displaystyle x}. Equivalently, {\displaystyle A} intersects {\displaystyle B} if their intersection {\displaystyle A\cap B} is an inhabited set , meaning that there exists some {\displaystyle x} such that {\displaystyle x\in A\cap B.}
We say that {\displaystyle A} and {\displaystyle B} are disjoint if {\displaystyle A} does not intersect {\displaystyle B.} In plain language, they have no elements in common. {\displaystyle A} and {\displaystyle B} are disjoint if their intersection is empty, denoted {\displaystyle A\cap B=\varnothing .}
For example, the sets {\displaystyle \{1,2\}} and {\displaystyle \{3,4\}} are disjoint, while the set of even numbers intersects the set of multiples of 3 at the multiples of 6.
Algebraic properties
[edit ]Binary intersection is an associative operation; that is, for any sets {\displaystyle A,B,} and {\displaystyle C,} one has
{\displaystyle A\cap (B\cap C)=(A\cap B)\cap C.}Thus the parentheses may be omitted without ambiguity: either of the above can be written as {\displaystyle A\cap B\cap C}. Intersection is also commutative. That is, for any {\displaystyle A} and {\displaystyle B,} one has{\displaystyle A\cap B=B\cap A.} The intersection of any set with the empty set results in the empty set; that is, that for any set {\displaystyle A}, {\displaystyle A\cap \varnothing =\varnothing } Also, the intersection operation is idempotent; that is, any set {\displaystyle A} satisfies that {\displaystyle A\cap A=A}. All these properties follow from analogous facts about logical conjunction.
Intersection distributes over union and union distributes over intersection. That is, for any sets {\displaystyle A,B,} and {\displaystyle C,} one has {\displaystyle {\begin{aligned}A\cap (B\cup C)=(A\cap B)\cup (A\cap C)\\A\cup (B\cap C)=(A\cup B)\cap (A\cup C)\end{aligned}}} Inside a universe {\displaystyle U,} one may define the complement {\displaystyle A^{c}} of {\displaystyle A} to be the set of all elements of {\displaystyle U} not in {\displaystyle A.} Furthermore, the intersection of {\displaystyle A} and {\displaystyle B} may be written as the complement of the union of their complements, derived easily from De Morgan's laws:{\displaystyle A\cap B=\left(A^{c}\cup B^{c}\right)^{c}}
Arbitrary intersections
[edit ]The most general notion is the intersection of an arbitrary nonempty collection of sets. If {\displaystyle M} is a nonempty set whose elements are themselves sets, then {\displaystyle x} is an element of the intersection of {\displaystyle M} if and only if for every element {\displaystyle A} of {\displaystyle M,} {\displaystyle x} is an element of {\displaystyle A.} In symbols: {\displaystyle \left(x\in \bigcap _{A\in M}A\right)\Leftrightarrow \left(\forall A\in M,\ x\in A\right).}
The notation for this last concept can vary considerably. Set theorists will sometimes write "{\displaystyle \bigcap M}", while others will instead write "{\displaystyle {\bigcap }_{A\in M}A}". The latter notation can be generalized to "{\displaystyle {\bigcap }_{i\in I}A_{i}}", which refers to the intersection of the collection {\displaystyle \left\{A_{i}:i\in I\right\}.} Here {\displaystyle I} is a nonempty set, and {\displaystyle A_{i}} is a set for every {\displaystyle i\in I.}
In the case that the index set {\displaystyle I} is the set of natural numbers, notation analogous to that of an infinite product may be seen: {\displaystyle \bigcap _{i=1}^{\infty }A_{i}.}
When formatting is difficult, this can also be written "{\displaystyle A_{1}\cap A_{2}\cap A_{3}\cap \cdots }". This last example, an intersection of countably many sets, is actually very common; for an example, see the article on σ-algebras.
Nullary intersection
[edit ]In the previous section, we excluded the case where {\displaystyle M} was the empty set ({\displaystyle \varnothing }). The reason is as follows: The intersection of the collection {\displaystyle M} is defined as the set (see set-builder notation) {\displaystyle \bigcap _{A\in M}A=\{x:{\text{ for all }}A\in M,x\in A\}.} If {\displaystyle M} is empty, there are no sets {\displaystyle A} in {\displaystyle M,} so the question becomes "which {\displaystyle x}'s satisfy the stated condition?" The answer seems to be every possible {\displaystyle x}. When {\displaystyle M} is empty, the condition given above is an example of a vacuous truth. So the intersection of the empty family should be the universal set (the identity element for the operation of intersection),[4] but in standard (ZF) set theory, the universal set does not exist.
However, when restricted to the context of subsets of a given fixed set {\displaystyle X}, the notion of the intersection of an empty collection of subsets of {\displaystyle X} is well-defined. In that case, if {\displaystyle M} is empty, its intersection is {\displaystyle \bigcap M=\bigcap \varnothing =\{x\in X:x\in A{\text{ for all }}A\in \varnothing \}}. Since all {\displaystyle x\in X} vacuously satisfy the required condition, the intersection of the empty collection of subsets of {\displaystyle X} is all of {\displaystyle X.} In formulas, {\displaystyle \bigcap \varnothing =X.} This matches the intuition that as collections of subsets become smaller, their respective intersections become larger; in the extreme case, the empty collection has an intersection equal to the whole underlying set.
Also, in type theory {\displaystyle x} is of a prescribed type {\displaystyle \tau ,} so the intersection is understood to be of type {\displaystyle \mathrm {set} \ \tau } (the type of sets whose elements are in {\displaystyle \tau }), and we can define {\displaystyle \bigcap _{A\in \emptyset }A} to be the universal set of {\displaystyle \mathrm {set} \ \tau } (the set whose elements are exactly all terms of type {\displaystyle \tau }).
See also
[edit ]- Algebra of sets – Identities and relationships involving sets
- Cardinality – Definition of the number of elements in a set
- Complement – Set of the elements not in a given subset
- Intersection (Euclidean geometry) – Shape formed from points common to other shapesPages displaying short descriptions of redirect targets
- Intersection graph – Graph representing intersections between given sets
- Intersection theory – Branch of algebraic geometry
- List of set identities and relations – Equalities for combinations of sets
- Logical conjunction – Logical connective AND
- MinHash – Data mining technique
- Naive set theory – Informal set theories
- Symmetric difference – Elements in exactly one of two sets
- Union – Set of elements in any of some sets
References
[edit ]- ^ "Intersection of Sets". web.mnstate.edu. Archived from the original on 2020年08月04日. Retrieved 2020年09月04日.
- ^ "Stats: Probability Rules". People.richland.edu. Retrieved 2012年05月08日.
- ^ a b "Set Operations | Union | Intersection | Complement | Difference | Mutually Exclusive | Partitions | De Morgan's Law | Distributive Law | Cartesian Product". www.probabilitycourse.com. Retrieved 2020年09月04日.
- ^ Megginson, Robert E. (1998). "Chapter 1". An introduction to Banach space theory. Graduate Texts in Mathematics. Vol. 183. New York: Springer-Verlag. pp. xx+596. ISBN 0-387-98431-3.
Further reading
[edit ]- Devlin, K. J. (1993). The Joy of Sets: Fundamentals of Contemporary Set Theory (Second ed.). New York, NY: Springer-Verlag. ISBN 3-540-94094-4.
- Munkres, James R. (2000). "Set Theory and Logic". Topology (Second ed.). Upper Saddle River: Prentice Hall. ISBN 0-13-181629-2.
- Rosen, Kenneth (2007). "Basic Structures: Sets, Functions, Sequences, and Sums". Discrete Mathematics and Its Applications (Sixth ed.). Boston: McGraw-Hill. ISBN 978-0-07-322972-0.