Intersection (set Theory)

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## Notation and terminology

## Definition

### Intersecting and disjoint sets

## Algebraic properties

## Arbitrary intersections

## Nullary intersection

*every possible *. When 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.
## See also

## References

## Further reading

## External links

This article uses material from the Wikipedia page available here. It is released under the Creative Commons Attribution-Share-Alike License 3.0.

Intersection Set Theory

Type | Set operation |
---|---|

Field | Set theory |

Statement | The intersection is the set of elements that exists in both set and set . |

Symbolic statement |

In mathematics, the **intersection** of two sets and denoted by ^{[1]} is the set containing all elements of that also belong to or equivalently, all elements of that also belong to ^{[2]}

Intersection is written using the symbol "" between the terms; that is, in infix notation. For example:

The intersection of more than two sets (generalized intersection) can be written as:

which is similar to capital-sigma notation.

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

The intersection of two sets and denoted by ,^{[3]} is the set of all objects that are members of both the sets and
In symbols:

That is, is an element of the intersection if and only if is both an element of and an element of ^{[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.

We say that * intersects (meets) * if there exists some that is an element of both and in which case we also say that * intersects (meets) at *. Equivalently, intersects if their intersection is an

We say that * and are disjoint* if does not intersect In plain language, they have no elements in common. and are disjoint if their intersection is empty, denoted

For example, the sets and are disjoint, while the set of even numbers intersects the set of multiples of 3 at the multiples of 6.

Binary intersection is an associative operation; that is, for any sets and one has

Thus the parentheses may be omitted without ambiguity: either of the above can be written as . Intersection is also commutative. That is, for any and one has

The intersection of any set with the empty set results in the empty set; that is, that for any set ,

Also, the intersection operation is idempotent; that is, any set satisfies that . All these properties follow from analogous facts about logical conjunction.

Intersection distributes over union and union distributes over intersection. That is, for any sets and one has

Inside a universe one may define the complement of to be the set of all elements of not in Furthermore, the intersection of and may be written as the complement of the union of their complements, derived easily from De Morgan's laws:

The most general notion is the intersection of an arbitrary *nonempty* collection of sets.
If is a nonempty set whose elements are themselves sets, then is an element of the *intersection* of if and only if for every element of is an element of
In symbols:

The notation for this last concept can vary considerably. Set theorists will sometimes write "", while others will instead write "". The latter notation can be generalized to "", which refers to the intersection of the collection Here is a nonempty set, and is a set for every

In the case that the index set is the set of natural numbers, notation analogous to that of an infinite product may be seen:

When formatting is difficult, this can also be written "". This last example, an intersection of countably many sets, is actually very common; for an example, see the article on ?-algebras.

Note that in the previous section, we excluded the case where was the empty set (). The reason is as follows: The intersection of the collection is defined as the set (see set-builder notation)

If is empty, there are no sets in so the question becomes "which 's satisfy the stated condition?" The answer seems to be

In type theory however, is of a prescribed type so the intersection is understood to be of type (the type of sets whose elements are in ), and we can define to be the universal set of (the set whose elements are exactly all terms of type ).

- 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 shapes
- 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

**^**"Intersection of Sets".*web.mnstate.edu*. Retrieved .**^**"Stats: Probability Rules". People.richland.edu. Retrieved .- ^
^{a}^{b}"Set Operations | Union | Intersection | Complement | Difference | Mutually Exclusive | Partitions | De Morgan's Law | Distributive Law | Cartesian Product".*www.probabilitycourse.com*. Retrieved . **^**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.

- 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.

This article uses material from the Wikipedia page available here. It is released under the Creative Commons Attribution-Share-Alike License 3.0.

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