Automata Set Theory
A set is a collection of distinct elements in which the order of elements does not matter. If S is the set, then the size of a set is denoted as |S|. If x is a member in a set S, then it is denoted as x ∈ A and y is a member not in set S, it is denoted as y ∉ A.
Set Union
In set theory, the union of a collection of sets is the set of all elements in the collection. If A and B are two sets, then their union is defined as -
A ∪ B := {x : x ∈ A or x ∈ B}
Example of Union
A = {2,4,5}
B = {6,9,7}
A ∪ B = {2,4,5,6,7,9}
Set Intersection
In set theory, the intersection of two given sets is the largest set which contains all the elements that are common to both the sets. If A and B are two sets, then their intersection is defined as -
A ∩ B := {x : x ∈ A and x ∈ B}
Example of Intersection
A = {2,4,5}
B = {4,5,6}
A ∩ B = {4,5}
Set Difference
In set theory, the set difference returns a set that is the difference between two sets. If A and B are two sets, then their difference is defined as-
A - B := {x : x ∈ A and x ∉ B}
Example of Set Difference
A = {2,4,5}
B = {4,5}
A - B = {2}
Set Symmetric Difference
The symmetric difference of two sets is the set of elements which are in either of the sets, but not in their intersection. If A and B are two sets, then their symmetric difference is defined as-
A Δ B := {x : x ∈ A or x ∈ B, but x ∉ (A ∩ B)}
Example of Set Difference
A = {2,4,5}
B = {4,5,6}
A Δ B = {2,6}
Set Cartesian Product
If A and B are two sets, then their cartesian product is defined as-
A X B := {(x,y): x ∈ A, y ∈ B}
Example of Set Cartesian Product
A = {1,2}
B = {a,b}
A X B = {(1,a),(1,b),(2,a),(2,b)}
Automata Theory
Finite Automata