Understanding the basics of set theory is a prerequisite for studying probability.
This lecture presents a concise introduction to set membership and inclusion, unions, intersections and complements. These are all concepts that are frequently used in the calculus of probabilities.
A set is a collection of objects. Sets are usually denoted by a letter and the objects (or elements) belonging to a set are usually listed within curly brackets.
Example
Denote by the letter
the set of the natural numbers less than or equal to
.
Then, we can
write
Example
Denote by the letter
the set of the first five letters of the alphabet. Then, we can
write
Note that a set is an unordered collection of objects, i.e. the order in which the elements of a set are listed does not matter.
Example
The two
setsand
are
considered identical.
Sometimes a set is defined in terms of one or more properties satisfied by its
elements. For example, the
setcould
be equivalently defined
as
which
reads as follows:
"
is the set of all natural numbers
such that
is less than or equal to
",
where the colon symbol
(
)
means "such that" and precedes a list of conditions that the elements of the
set need to satisfy.
Example
The
setis
the set of all natural numbers
such that
divided by
is also a natural number, that
is,
When an element
belongs to a set
,
we
write
which
reads
"
belongs to
"
or
"
is a member of
".
On the contrary, when an element
does not belong to a set
,
we
write
which
reads
"
does not belong to
"
or
"
is not a member of
".
Example
Let the set
be defined as
follows:
Then,
for
example,
and
If
and
are two sets and if every element of
also belongs to
,
then we
write
which
reads
"
is included in
"
or
and
we read
"
includes
".
We also say that
is a subset of
.
Example
The set
is
included in the
set
because
all the elements of
also belong to
.
Thus, we can
write
When
but
is not the same as
(i.e., there are elements of
that do not belong to
),
then we
write
which
reads
"
is strictly included in
"
or
We
also say that
is a proper subset of
.
Example
Given the sets
we
have
that
but
we cannot
write
Let
and
be two sets. Their union is the set of all elements that belong to at least
one of them and it is denoted
by
Example
Define two sets
and
as
follows:
Their
union
is
If
,
,
...,
are
sets, their union is the set of all elements that belong to at least one of
them and it is denoted
by
Example
Define three sets
,
and
as
follows:
Their
union
is
Let
and
be two sets. Their intersection is the set of all elements that belong to both
of them and it is denoted
by
Example
Define two sets
and
as
follows:
Their
intersection
is
If
,
,
...,
are
sets, their intersection is the set of all elements that belong to all of them
and it is denoted
by
Example
Define three sets
,
and
as
follows:
Their
intersection
is
Complementation is another concept that is fundamental in probability theory.
Suppose that our attention is confined to sets that are all included in a
larger set
,
called universal set. Let
be one of these sets. The complement of
is the set of all elements of
that do not belong to
and it is indicated
by
Example
Define the universal set
as
follows:
and
the two
sets
The
complements of
and
are
Also note that, for any set
,
we
have
De Morgan' Laws
areand
can be extended to collections of more than two
sets:
Below you can find some exercises with explained solutions.
Define the following
sets:Find
the following
union:
The union can be written
asThe
union of the three sets
,
and
is the set of all elements that belong to at least one of
them:
Given the sets defined in the previous exercise, find the following
intersection:
The intersection can be written
asThe
intersection of the four sets
,
,
and
is the set of elements that are members of all the four
sets:
Suppose that
and
are two subsets of a universal set
and
that
Find
the following
union:
By using De Morgan's laws, we
obtain
Now that you are familiar with the basics of set theory, you can see how it is used in probability theory.
Read the lectures on:
Please cite as:
Taboga, Marco (2021). "Set theory", Lectures on probability theory and mathematical statistics. Kindle Direct Publishing. Online appendix. https://www.statlect.com/mathematical-tools/set-theory.
Most of the learning materials found on this website are now available in a traditional textbook format.