Set theory is a branch of mathematics that studies sets, their operations, and their properties.
∪
, pronounced “cup”, means “or”;∩
, pronounced “cap”, means “and”;\
, means “without”;'
, means “the inverse of”;×
, means “the Cartesian product of”.:
, or the vertical bar |
qualifiers are interchangeable and mean “such that”;∈
, means “belongs to”;⊆
, means “is a subset of”;⊂
, means “is a subset of but is not equal to”.∅
, the empty set, i.e. the set containing no items;ℕ
, the set of all natural numbers;ℤ
, the set of all integers;ℚ
, the set of all rational numbers;ℝ
, the set of all real numbers.There are a few caveats to mention regarding the canonical sets: 1. Even though the empty set contains no items, the empty set is a subset of itself (and indeed every other set); 2. Mathematicians generally do not universally agree on whether zero is a natural number, and textbooks will typically explicitly state whether or not the author considers zero to be a natural number.
The cardinality, or size, of a set is determined by the number of items in the set. The cardinality operator is given by a double pipe, |...|
.
For example, if S = { 1, 2, 4 }
, then |S| = 3
.
∅ = { x : x ≠ x }
, or ∅ = { x : x ∈ N, x < 0 }
;|∅| = 0
.A set can be constructed literally by supplying a complete list of objects contained in the set. For example, S = { a, b, c, d }
.
Long lists may be shortened with ellipses as long as the context is clear. For example, E = { 2, 4, 6, 8, ... }
is clearly the set of all even numbers, containing an infinite number of objects, even though we’ve only explicitly written four of them.
Set builder notation is a more descriptive way of constructing a set. It relies on a subject and a predicate such that S = { subject : predicate }
. For example,
A = { x : x is a vowel } = { a, e, i, o, u }
B = { x : x ∈ N, x < 10 } = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 }
C = { x : x = 2k, k ∈ N } = { 0, 2, 4, 6, 8, ... }
Sometimes the predicate may “leak” into the subject, e.g.
D = { 2x : x ∈ N } = { 0, 2, 4, 6, 8, ... }
a
is contained in the set A
, then we say a
belongs to A
and represent this symbolically as a ∈ A
.a
is not contained in the set A
, then we say a
does not belong to A
and represent this symbolically as a ∉ A
.A = B
.{ 1, 2, 3, 4 } = { 2, 3, 1, 4 }
.{ 1, 2, 2, 3, 4, 3, 4, 2 } = { 1, 2, 3, 4 }
.A
and B
are equal if and only if A ⊆ B
and B ⊆ A
.A
be any set. The set that contains all possible subsets of A
is called a “power set” and is written as P(A)
. If the set A
contains n
elements, then P(A)
contains 2^n
elements.P(A) = { x : x ⊆ A }
Given two sets A
and B
, the union of the two sets are the items that appear in either A
or B
, written as A ∪ B
.
A ∪ B = { x : x ∈ A ∪ x ∈ B }
Given two sets A
and B
, the intersection of the two sets are the items that appear in both A
and B
, written as A ∩ B
.
A ∩ B = { x : x ∈ A, x ∈ B }
Given two sets A
and B
, the set difference of A
with B
is every item in A
that does not belong to B
.
A \ B = { x : x ∈ A, x ∉ B }
Given two sets A
and B
, the symmetrical difference is all items among A
and B
that doesn’t appear in their intersections.
A △ B = { x : ((x ∈ A) ∩ (x ∉ B)) ∪ ((x ∈ B) ∩ (x ∉ A)) }
A △ B = (A \ B) ∪ (B \ A)
Given two sets A
and B
, the cartesian product between A
and B
consists of a set containing all combinations of items of A
and B
.
A × B = { (x, y) | x ∈ A, y ∈ B }
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Originally contributed by Andrew Ryan Davis, and updated by 9 contributors.