In mathematics, a filter on a set
is a family
of subsets such that:
and 
- if
and
, then 
- If
and
, then 
A filter on a set may be thought of as representing a "collection of large subsets", one intuitive example being the neighborhood filter. Filters appear in order theory, model theory, and set theory, but can also be found in topology, from which they originate. The dual notion of a filter is an ideal.
Filters were introduced by Henri Cartan in 1937 and as described in the article dedicated to filters in topology, they were subsequently used by Nicolas Bourbaki in their book Topologie Générale as an alternative to the related notion of a net developed in 1922 by E. H. Moore and Herman L. Smith. Order filters are generalizations of filters from sets to arbitrary partially ordered sets. Specifically, a filter on a set is just a proper order filter in the special case where the partially ordered set consists of the power set ordered by set inclusion.
Preliminaries, notation, and basic notions
In this article, upper case Roman letters like
and
denote sets (but not families unless indicated otherwise) and
will denote the power set of
A subset of a power set is called a family of sets (or simply, a family) where it is over
if it is a subset of
Families of sets will be denoted by upper case calligraphy letters such as
Whenever these assumptions are needed, then it should be assumed that
is non–empty and that
etc. are families of sets over
The terms "prefilter" and "filter base" are synonyms and will be used interchangeably.
Warning about competing definitions and notation
There are unfortunately several terms in the theory of filters that are defined differently by different authors.
These include some of the most important terms such as "filter".
While different definitions of the same term usually have significant overlap, due to the very technical nature of filters (and point–set topology), these differences in definitions nevertheless often have important consequences.
When reading mathematical literature, it is recommended that readers check how the terminology related to filters is defined by the author.
For this reason, this article will clearly state all definitions as they are used.
Unfortunately, not all notation related to filters is well established and some notation varies greatly across the literature (for example, the notation for the set of all prefilters on a set) so in such cases this article uses whatever notation is most self describing or easily remembered.
The theory of filters and prefilters is well developed and has a plethora of definitions and notations, many of which are now unceremoniously listed to prevent this article from becoming prolix and to allow for the easy look up of notation and definitions.
Their important properties are described later.
Sets operations
The upward closure or isotonization in
of a family of sets
is

and similarly the downward closure of
is
Notation and Definition |
Name
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Kernel of
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Dual of where is a set.
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Trace of or the restriction of where is a set; sometimes denoted by
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Elementwise (set) intersection ( will denote the usual intersection)
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Elementwise (set) union ( will denote the usual union)
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Elementwise (set) subtraction ( will denote the usual set subtraction)
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Grill of
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Power set of a set
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Throughout,
is a map and
is a set.
Notation and Definition |
Name
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Image of or the preimage of under
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Image of or the preimage of
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Image of under
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Image of
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Image (or range) of
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Nets and their tails
A directed set is a set
together with a preorder, which will be denoted by
(unless explicitly indicated otherwise), that makes
into an (upward) directed set; this means that for all
there exists some
such that
For any indices
the notation
is defined to mean
while
is defined to mean that
holds but it is not true that
(if
is antisymmetric then this is equivalent to
).
A net in
is a map from a non–empty directed set into
The notation
will be used to denote a net with domain
Notation and Definition |
Name
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Tail or section of starting at where is a directed set.
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Tail or section of starting at
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Set or prefilter of tails/sections of Also called the eventuality filter base generated by (the tails of) If is a sequence then is also called the sequential filter base.
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(Eventuality) filter of/generated by (tails of)
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Tail or section of a net starting at where is a directed set.
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Warning about using strict comparison
If
is a net and
then it is possible for the set
which is called the tail of
after
, to be empty (for example, this happens if
is an upper bound of the directed set
).
In this case, the family
would contain the empty set, which would prevent it from being a prefilter (defined later).
This is the (important) reason for defining
as
rather than
or even
and it is for this reason that in general, when dealing with the prefilter of tails of a net, the strict inequality
may not be used interchangeably with the inequality
Filters and prefilters
Families of sets over
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Is necessarily true of  or, is closed under:
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Directed by
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F.I.P.
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π-system
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Semiring
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Never
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Semialgebra (Semifield)
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Never
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Monotone class
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only if  |
only if  |
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𝜆-system (Dynkin System)
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only if
 |
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only if or they are disjoint |
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Never
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Ring (Order theory)
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Ring (Measure theory)
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Never
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δ-Ring
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Never
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𝜎-Ring
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Never
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Algebra (Field)
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Never
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𝜎-Algebra (𝜎-Field)
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Never
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Dual ideal
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Never |
Never |
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Prefilter (Filter base)
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Never |
Never |
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Filter subbase
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Never |
Never |
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Open Topology
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(even arbitrary ) |
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Never
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Closed Topology
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(even arbitrary ) |
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Never
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Is necessarily true of  or, is closed under:
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directed downward
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finite intersections
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finite unions
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relative complements
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complements in
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countable intersections
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countable unions
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contains
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contains
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Finite Intersection Property
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Additionally, a semiring is a π-system where every complement is equal to a finite disjoint union of sets in 
A semialgebra is a semiring where every complement is equal to a finite disjoint union of sets in 
are arbitrary elements of and it is assumed that 
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The following is a list of properties that a family
of sets may possess and they form the defining properties of filters, prefilters, and filter subbases. Whenever it is necessary, it should be assumed that
The family of sets

is:
- Proper or nondegenerate if
Otherwise, if
then it is called improper or degenerate.
- Directed downward if whenever
then there exists some
such that
- This property can be characterized in terms of directedness, which explains the word "directed": A binary relation
on
is called (upward) directed if for any two
there is some
satisfying
Using
in place of
gives the definition of directed downward whereas using
instead gives the definition of directed upward. Explicitly,
is directed downward (resp. directed upward) if and only if for all
there exists some "greater"
such that
(resp. such that
) − where the "greater" element is always on the right hand side,[note 1] − which can be rewritten as
(resp. as
).
- If a family
has a greatest element with respect to
(for example, if
) then it is necessarily directed downward.
- Closed under finite intersections (resp. unions) if the intersection (resp. union) of any two elements of
is an element of
- If
is closed under finite intersections then
is necessarily directed downward. The converse is generally false.
- Upward closed or Isotone in
if
or equivalently, if whenever
and some set
satisfies
Similarly,
is downward closed if
An upward (respectively, downward) closed set is also called an upper set or upset (resp. a lower set or down set).
- The family
which is the upward closure of
is the unique smallest (with respect to
) isotone family of sets over
having
as a subset.
Many of the properties of
defined above and below, such as "proper" and "directed downward," do not depend on
so mentioning the set
is optional when using such terms. Definitions involving being "upward closed in
" such as that of "filter on
" do depend on
so the set
should be mentioned if it is not clear from context.
A family

is/is a(n):
- Ideal if
is downward closed and closed under finite unions.
- Dual ideal on
if
is upward closed in
and also closed under finite intersections. Equivalently,
is a dual ideal if for all
- Explanation of the word "dual": A family
is a dual ideal (resp. an ideal) on
if and only if the dual of
which is the family is an ideal (resp. a dual ideal) on
In other words, dual ideal means "dual of an ideal". The family
should not be confused with
because these two sets are not equal in general; for instance,
The dual of the dual is the original family, meaning
The set
belongs to the dual of
if and only if 
- Filter on
if
is a proper dual ideal on
That is, a filter on
is a non−empty subset of
that is closed under finite intersections and upward closed in
Equivalently, it is a prefilter that is upward closed in
In words, a filter on
is a family of sets over
that (1) is not empty (or equivalently, it contains
), (2) is closed under finite intersections, (3) is upward closed in
and (4) does not have the empty set as an element.
- Warning: Some authors, particularly algebrists, use "filter" to mean a dual ideal; others, particularly topologists, use "filter" to mean a proper/non–degenerate dual ideal. It is recommended that readers always check how "filter" is defined when reading mathematical literature. However, the definitions of "ultrafilter," "prefilter," and "filter subbase" always require non-degeneracy. This article uses Henri Cartan's original definition of "filter", which required non–degeneracy.
- A dual filter on
is a family
whose dual
is a filter on
Equivalently, it is an ideal on
that does not contain
as an element.
- The power set
is the one and only dual ideal on
that is not also a filter. Excluding
from the definition of "filter" in topology has the same benefit as excluding
from the definition of "prime number": it obviates the need to specify "non-degenerate" (the analog of "non-unital" or "non-
") in many important results, thereby making their statements less awkward.
- Prefilter or filter base if
is proper and directed downward. Equivalently,
is called a prefilter if its upward closure
is a filter. It can also be defined as any family that is equivalent (with respect to
) to some filter. A proper family
is a prefilter if and only if
A family is a prefilter if and only if the same is true of its upward closure.
- If
is a prefilter then its upward closure
is the unique smallest (relative to
) filter on
containing
and it is called the filter generated by
A filter
is said to be generated by a prefilter
if
in which
is called a filter base for 
- Unlike a filter, a prefilter is not necessarily closed under finite intersections.
- π–system if
is closed under finite intersections. Every non–empty family
is contained in a unique smallest π–system called the π–system generated by
which is sometimes denoted by
It is equal to the intersection of all π–systems containing
and also to the set of all possible finite intersections of sets from
:
- A π–system is a prefilter if and only if it is proper. Every filter is a proper π–system and every proper π–system is a prefilter but the converses do not hold in general.
- A prefilter is equivalent (with respect to
) to the π–system generated by it and both of these families generate the same filter on 
- Filter subbase and centered if
and
satisfies any of the following equivalent conditions:
has the finite intersection property, which means that the intersection of any finite family of (one or more) sets in
is not empty; explicitly, this means that whenever
then 
- The π–system generated by
is proper; that is, 
- The π–system generated by
is a prefilter.
is a subset of some prefilter.
is a subset of some filter.
- Assume that
is a filter subbase. Then there is a unique smallest (relative to
) filter
containing
called the filter generated by
, and
is said to be a filter subbase for this filter. This filter is equal to the intersection of all filters on
that are supersets of
The π–system generated by
denoted by
will be a prefilter and a subset of
Moreover, the filter generated by
is equal to the upward closure of
meaning
However,
if and only if
is a prefilter (although
is always an upward closed filter subbase for
).
- A
–smallest (meaning smallest relative to
) prefilter containing a filter subbase
will exist only under certain circumstances. It exists, for example, if the filter subbase
happens to also be a prefilter. It also exists if the filter (or equivalently, the π–system) generated by
is principal, in which case
is the unique smallest prefilter containing
Otherwise, in general, a
–smallest prefilter containing
might not exist. For this reason, some authors may refer to the π–system generated by
as the prefilter generated by
However, if a
–smallest prefilter does exist (say it is denoted by
) then contrary to usual expectations, it is not necessarily equal to "the prefilter generated by
" (that is,
is possible). And if the filter subbase
happens to also be a prefilter but not a π-system then unfortunately, "the prefilter generated by this prefilter" (meaning
) will not be
(that is,
is possible even when
is a prefilter), which is why this article will prefer the accurate and unambiguous terminology of "the π–system generated by
".
- Subfilter of a filter
and that
is a superfilter of
if
is a filter and
where for filters,
- Importantly, the expression "is a superfilter of" is for filters the analog of "is a subsequence of". So despite having the prefix "sub" in common, "is a subfilter of" is actually the reverse of "is a subsequence of." However,
can also be written
which is described by saying "
is subordinate to
" With this terminology, "is subordinate to" becomes for filters (and also for prefilters) the analog of "is a subsequence of," which makes this one situation where using the term "subordinate" and symbol
may be helpful.
There are no prefilters on
(nor are there any nets valued in
), which is why this article, like most authors, will automatically assume without comment that
whenever this assumption is needed.
Basic examples
Named examples
- The singleton set
is called the indiscrete or trivial filter on
It is the unique minimal filter on
because it is a subset of every filter on
; however, it need not be a subset of every prefilter on 
- The dual ideal
is also called the degenerate filter on
(despite not actually being a filter). It is the only dual ideal on
that is not a filter on 
- If
is a topological space and
then the neighborhood filter
at
is a filter on
By definition, a family
is called a neighborhood basis (resp. a neighborhood subbase) at
if and only if
is a prefilter (resp.
is a filter subbase) and the filter on
that
generates is equal to the neighborhood filter
The subfamily
of open neighborhoods is a filter base for
Both prefilters
also form a bases for topologies on
with the topology generated
being coarser than
This example immediately generalizes from neighborhoods of points to neighborhoods of non–empty subsets 
is an elementary prefilter[26] if
for some sequence 
is an elementary filter or a sequential filter on
if
is a filter on
generated by some elementary prefilter. The filter of tails generated by a sequence that is not eventually constant is necessarily not an ultrafilter. Every principal filter on a countable set is sequential as is every cofinite filter on a countably infinite set. The intersection of finitely many sequential filters is again sequential.
- The set
of all cofinite subsets of
(meaning those sets whose complement in
is finite) is proper if and only if
is infinite (or equivalently,
is infinite), in which case
is a filter on
known as the Fréchet filter or the cofinite filter on
If
is finite then
is equal to the dual ideal
which is not a filter. If
is infinite then the family
of complements of singleton sets is a filter subbase that generates the Fréchet filter on
As with any family of sets over
that contains
the kernel of the Fréchet filter on
is the empty set: 
- The intersection of all elements in any non–empty family
is itself a filter on
called the infimum or greatest lower bound of
which is why it may be denoted by
Said differently,
Because every filter on
has
as a subset, this intersection is never empty. By definition, the infimum is the finest/largest (relative to
) filter contained as a subset of each member of
- If
are filters then their infimum in
is the filter
If
are prefilters then
is a prefilter that is coarser (with respect to
) than both
(that is,
); indeed, it is one of the finest such prefilters, meaning that if
is a prefilter such that
then necessarily
More generally, if
are non−empty families and if
then
and
is a greatest element (with respect to
) of 
- Let
and let
The supremum or least upper bound of
denoted by
is the smallest (relative to
) dual ideal on
containing every element of
as a subset; that is, it is the smallest (relative to
) dual ideal on
containing
as a subset.
This dual ideal is
where
is the π–system generated by
As with any non–empty family of sets,
is contained in some filter on
if and only if it is a filter subbase, or equivalently, if and only if
is a filter on
in which case this family is the smallest (relative to
) filter on
containing every element of
as a subset and necessarily
- Let
and let
The supremum or least upper bound of
denoted by
if it exists, is by definition the smallest (relative to
) filter on
containing every element of
as a subset.
If it exists then necessarily
(as defined above) and
will also be equal to the intersection of all filters on
containing
This supremum of
exists if and only if the dual ideal
is a filter on
The least upper bound of a family of filters
may fail to be a filter. Indeed, if
contains at least 2 distinct elements then there exist filters
for which there does not exist a filter
that contains both
If
is not a filter subbase then the supremum of
does not exist and the same is true of its supremum in
but their supremum in the set of all dual ideals on
will exist (it being the degenerate filter
).
- If
are prefilters (resp. filters on
) then
is a prefilter (resp. a filter) if and only if it is non–degenerate (or said differently, if and only if
mesh), in which case it is one of the coarsest prefilters (resp. the coarsest filter) on
(with respect to
) that is finer (with respect to
) than both
this means that if
is any prefilter (resp. any filter) such that
then necessarily
in which case it is denoted by 
- Let
be non−empty sets and for every
let
be a dual ideal on
If
is any dual ideal on
then
is a dual ideal on
called Kowalsky's dual ideal or Kowalsky's filter.
- The club filter of a regular uncountable cardinal is the filter of all sets containing a club subset of
It is a
-complete filter closed under diagonal intersection.
Other examples
- Let
and let
which makes
a prefilter and a filter subbase that is not closed under finite intersections. Because
is a prefilter, the smallest prefilter containing
is
The π–system generated by
is
In particular, the smallest prefilter containing the filter subbase
is not equal to the set of all finite intersections of sets in
The filter on
generated by
is
All three of
the π–system
generates, and
are examples of fixed, principal, ultra prefilters that are principal at the point
is also an ultrafilter on 
- Let
be a topological space,
and define
where
is necessarily finer than
If
is non–empty (resp. non–degenerate, a filter subbase, a prefilter, closed under finite unions) then the same is true of
If
is a filter on
then
is a prefilter but not necessarily a filter on
although
is a filter on
equivalent to 
- The set
of all dense open subsets of a (non–empty) topological space
is a proper π–system and so also a prefilter. If the space is a Baire space, then the set of all countable intersections of dense open subsets is a π–system and a prefilter that is finer than
If
(with
) then the set
of all
such that
has finite Lebesgue measure is a proper π–system and free prefilter that is also a proper subset of
The prefilters
and
are equivalent and so generate the same filter on
The prefilter
is properly contained in, and not equivalent to, the prefilter consisting of all dense subsets of
Since
is a Baire space, every countable intersection of sets in
is dense in
(and also comeagre and non–meager) so the set of all countable intersections of elements of
is a prefilter and π–system; it is also finer than, and not equivalent to, 
- A filter subbase with no
smallest prefilter containing it: In general, if a filter subbase
is not a π–system then an intersection
of
sets from
will usually require a description involving
variables that cannot be reduced down to only two (consider, for instance
when
). This example illustrates an atypical class of a filter subbases
where all sets in both
and its generated π–system can be described as sets of the form
so that in particular, no more than two variables (specifically,
) are needed to describe the generated π–system.
For all
let
where
always holds so no generality is lost by adding the assumption
For all real
if
is non-negative then
[note 2]
For every set
of positive reals, let[note 3]
Let
and suppose
is not a singleton set. Then
is a filter subbase but not a prefilter and
is the π–system it generates, so that
is the unique smallest filter in
containing
However,
is not a filter on
(nor is it a prefilter because it is not directed downward, although it is a filter subbase) and
is a proper subset of the filter
If
are non−empty intervals then the filter subbases
generate the same filter on
if and only if
If
is a prefilter satisfying
[note 4] then for any
the family
is also a prefilter satisfying
This shows that there cannot exist a minimal/least (with respect to
) prefilter that both contains
and is a subset of the π–system generated by
This remains true even if the requirement that the prefilter be a subset of
is removed; that is, (in sharp contrast to filters) there does not exist a minimal/least (with respect to
) prefilter containing the filter subbase
Ultrafilters
There are many other characterizations of "ultrafilter" and "ultra prefilter," which are listed in the article on ultrafilters. Important properties of ultrafilters are also described in that article.
A non–empty family

of sets is/is an:
- Ultra if
and any of the following equivalent conditions are satisfied:
- For every set
there exists some set
such that
(or equivalently, such that
).
- For every set
there exists some set
such that
- This characterization of "
is ultra" does not depend on the set
so mentioning the set
is optional when using the term "ultra."
- For every set
(not necessarily even a subset of
) there exists some set
such that
- If
satisfies this condition then so does every superset
For example, if
is any singleton set then
is ultra and consequently, any non–degenerate superset of
(such as its upward closure) is also ultra.
- Ultra prefilter if it is a prefilter that is also ultra. Equivalently, it is a filter subbase that is ultra. A prefilter
is ultra if and only if it satisfies any of the following equivalent conditions:
is maximal in
with respect to
which means that
- Although this statement is identical to that given below for ultrafilters, here
is merely assumed to be a prefilter; it need not be a filter.
is ultra (and thus an ultrafilter).
is equivalent (with respect to
) to some ultrafilter.
- A filter subbase that is ultra is necessarily a prefilter. A filter subbase is ultra if and only if it is a maximal filter subbase with respect to
(as above).
- Ultrafilter on
if it is a filter on
that is ultra. Equivalently, an ultrafilter on
is a filter
that satisfies any of the following equivalent conditions:
is generated by an ultra prefilter.
- For any

This condition can be restated as:
is partitioned by
and its dual
- The sets
are disjoint whenever
is a prefilter.
is an ideal.
- For any
if
then 
- For any
if
then
(a filter with this property is called a prime filter).
- This property extends to any finite union of two or more sets.
- For any
if
then either 
is a maximal filter on
; meaning that if
is a filter on
such that
then necessarily
(this equality may be replaced by
).
- If
is upward closed then
So this characterization of ultrafilters as maximal filters can be restated as:
- Because subordination
is for filters the analog of "is a subnet/subsequence of" (specifically, "subnet" should mean "AA–subnet," which is defined below), this characterization of an ultrafilter as being a "maximally subordinate filter" suggests that an ultrafilter can be interpreted as being analogous to some sort of "maximally deep net" (which could, for instance, mean that "when viewed only from
" in some sense, it is indistinguishable from its subnets, as is the case with any net valued in a singleton set for example),[note 5] which is an idea that is actually made rigorous by ultranets. The ultrafilter lemma is then the statement that every filter ("net") has some subordinate filter ("subnet") that is "maximally subordinate" ("maximally deep").
Any non–degenerate family that has a singleton set as an element is ultra, in which case it will then be an ultra prefilter if and only if it also has the finite intersection property.
The trivial filter
is ultra if and only if
is a singleton set.
The ultrafilter lemma
The following important theorem is due to Alfred Tarski (1930).
A consequence of the ultrafilter lemma is that every filter is equal to the intersection of all ultrafilters containing it.[proof 1]
Assuming the axioms of Zermelo–Fraenkel (ZF), the ultrafilter lemma follows from the Axiom of choice (in particular from Zorn's lemma) but is strictly weaker than it. The ultrafilter lemma implies the Axiom of choice for finite sets. If only dealing with Hausdorff spaces, then most basic results (as encountered in introductory courses) in Topology (such as Tychonoff's theorem for compact Hausdorff spaces and the Alexander subbase theorem) and in functional analysis (such as the Hahn–Banach theorem) can be proven using only the ultrafilter lemma; the full strength of the axiom of choice might not be needed.
Kernels
The kernel is useful in classifying properties of prefilters and other families of sets.
The
kernel of a family of sets

is the intersection of all sets that are elements of
If
then for any point
Properties of kernels
If
then
and this set is also equal to the kernel of the π–system that is generated by
In particular, if
is a filter subbase then the kernels of all of the following sets are equal:
- (1)
(2) the π–system generated by
and (3) the filter generated by 
If
is a map then
and
If
then
while if
and
are equivalent then
Equivalent families have equal kernels. Two principal families are equivalent if and only if their kernels are equal; that is, if
and
are principal then they are equivalent if and only if
Classifying families by their kernels
If
is a principal filter on
then
and
where
is also the smallest prefilter that generates
Family of examples: For any non–empty
the family
is free but it is a filter subbase if and only if no finite union of the form
covers
in which case the filter that it generates will also be free. In particular,
is a filter subbase if
is countable (for example,
the primes), a meager set in
a set of finite measure, or a bounded subset of
If
is a singleton set then
is a subbase for the Fréchet filter on
For every filter
there exists a unique pair of dual ideals
such that
is free,
is principal, and
and
do not mesh (that is,
). The dual ideal
is called the free part of
while
is called the principal part where at least one of these dual ideals is filter. If
is principal then
otherwise,
and
is a free (non–degenerate) filter.
Finite prefilters and finite sets
If a filter subbase
is finite then it is fixed (that is, not free);
this is because
is a finite intersection and the filter subbase
has the finite intersection property.
A finite prefilter is necessarily principal, although it does not have to be closed under finite intersections.
If
is finite then all of the conclusions above hold for any
In particular, on a finite set
there are no free filter subbases (and so no free prefilters), all prefilters are principal, and all filters on
are principal filters generated by their (non–empty) kernels.
The trivial filter
is always a finite filter on
and if
is infinite then it is the only finite filter because a non–trivial finite filter on a set
is possible if and only if
is finite.
However, on any infinite set there are non–trivial filter subbases and prefilters that are finite (although they cannot be filters).
If
is a singleton set then the trivial filter
is the only proper subset of
and moreover, this set
is a principal ultra prefilter and any superset
(where
) with the finite intersection property will also be a principal ultra prefilter (even if
is infinite).
Characterizing fixed ultra prefilters
If a family of sets
is fixed (that is,
) then
is ultra if and only if some element of
is a singleton set, in which case
will necessarily be a prefilter. Every principal prefilter is fixed, so a principal prefilter
is ultra if and only if
is a singleton set.
Every filter on
that is principal at a single point is an ultrafilter, and if in addition
is finite, then there are no ultrafilters on
other than these.
The next theorem shows that every ultrafilter falls into one of two categories: either it is free or else it is a principal filter generated by a single point.
Finer/coarser, subordination, and meshing
The preorder
that is defined below is of fundamental importance for the use of prefilters (and filters) in topology. For instance, this preorder is used to define the prefilter equivalent of "subsequence", where "
" can be interpreted as "
is a subsequence of
" (so "subordinate to" is the prefilter equivalent of "subsequence of"). It is also used to define prefilter convergence in a topological space.
The definition of
meshes with
which is closely related to the preorder
is used in Topology to define cluster points.
Two families of sets
mesh and are compatible, indicated by writing
if
If
do not mesh then they are dissociated. If
then
are said to mesh if
mesh, or equivalently, if the trace of
which is the family
does not contain the empty set, where the trace is also called the restriction of
Declare that

stated as

is
coarser than 
and

is
finer than (or
subordinate to)

if any of the following equivalent conditions hold:
- Definition: Every
contains some
Explicitly, this means that for every
there is some
such that
- Said more briefly in plain English,
if every set in
is larger than some set in
Here, a "larger set" means a superset.
- In words,
states exactly that
is larger than some set in
The equivalence of (a) and (b) follows immediately.
- From this characterization, it follows that if
are families of sets, then 
which is equivalent to
;
;
which is equivalent to
;
and if in addition
is upward closed, which means that
then this list can be extended to include:
- So in this case, this definition of "
is finer than
" would be identical to the topological definition of "finer" had
been topologies on 
If an upward closed family
is finer than
(that is,
) but
then
is said to be strictly finer than
and
is strictly coarser than
Two families are
comparable if one of these sets is finer than the other.
Example: If
is a subsequence of
then
is subordinate to
in symbols:
and also
Stated in plain English, the prefilter of tails of a subsequence is always subordinate to that of the original sequence.
To see this, let
be arbitrary (or equivalently, let
be arbitrary) and it remains to show that this set contains some
For the set
to contain
it is sufficient to have
Since
are strictly increasing integers, there exists
such that
and so
holds, as desired.
Consequently,
The left hand side will be a strict/proper subset of the right hand side if (for instance) every point of
is unique (that is, when
is injective) and
is the even-indexed subsequence
because under these conditions, every tail
(for every
) of the subsequence will belong to the right hand side filter but not to the left hand side filter.
For another example, if
is any family then
always holds and furthermore,
Assume that
are families of sets that satisfy
Then
and
and also
If in addition to
is a filter subbase and
then
is a filter subbase and also
mesh.[proof 2]
More generally, if both
and if the intersection of any two elements of
is non–empty, then
mesh.[proof 2]
Every filter subbase is coarser than both the π–system that it generates and the filter that it generates.
If
are families such that
the family
is ultra, and
then
is necessarily ultra. It follows that any family that is equivalent to an ultra family will necessarily be ultra. In particular, if
is a prefilter then either both
and the filter
it generates are ultra or neither one is ultra.
If a filter subbase is ultra then it is necessarily a prefilter, in which case the filter that it generates will also be ultra. A filter subbase
that is not a prefilter cannot be ultra; but it is nevertheless still possible for the prefilter and filter generated by
to be ultra. If
is upward closed in
then
Relational properties of subordination
The relation
is reflexive and transitive, which makes it into a preorder on
The relation
is antisymmetric but if
has more than one point then it is not symmetric.
Symmetry:
For any
So the set
has more than one point if and only if the relation
is not symmetric.
Antisymmetry:
If
but while the converse does not hold in general, it does hold if
is upward closed (such as if
is a filter).
Two filters are equivalent if and only if they are equal, which makes the restriction of
to
antisymmetric.
But in general,
is not antisymmetric on
nor on
; that is,
does not necessarily imply
; not even if both
are prefilters. For instance, if
is a prefilter but not a filter then
Equivalent families of sets
The preorder
induces its canonical equivalence relation on
where for all
is equivalent to
if any of the following equivalent conditions hold:

- The upward closures of
are equal.
Two upward closed (in
) subsets of
are equivalent if and only if they are equal.
If
then necessarily
and
is equivalent to
Every equivalence class other than
contains a unique representative (that is, element of the equivalence class) that is upward closed in
Properties preserved between equivalent families
Let
be arbitrary and let
be any family of sets. If
are equivalent (which implies that
) then for each of the statements/properties listed below, either it is true of both
or else it is false of both
:
- Not empty
- Proper (that is,
is not an element)
- Moreover, any two degenerate families are necessarily equivalent.
- Filter subbase
- Prefilter
- In which case
generate the same filter on
(that is, their upward closures in
are equal).
- Free
- Principal
- Ultra
- Is equal to the trivial filter
- In words, this means that the only subset of
that is equivalent to the trivial filter is the trivial filter. In general, this conclusion of equality does not extend to non−trivial filters (one exception is when both families are filters).
- Meshes with

- Is finer than

- Is coarser than

- Is equivalent to

Missing from the above list is the word "filter" because this property is not preserved by equivalence.
However, if
are filters on
then they are equivalent if and only if they are equal; this characterization does not extend to prefilters.
Equivalence of prefilters and filter subbases
If
is a prefilter on
then the following families are always equivalent to each other:
;
- the π–system generated by
;
- the filter on
generated by
;
and moreover, these three families all generate the same filter on
(that is, the upward closures in
of these families are equal).
In particular, every prefilter is equivalent to the filter that it generates.
By transitivity, two prefilters are equivalent if and only if they generate the same filter.[proof 3]
Every prefilter is equivalent to exactly one filter on
which is the filter that it generates (that is, the prefilter's upward closure).
Said differently, every equivalence class of prefilters contains exactly one representative that is a filter.
In this way, filters can be considered as just being distinguished elements of these equivalence classes of prefilters.
A filter subbase that is not also a prefilter cannot be equivalent to the prefilter (or filter) that it generates.
In contrast, every prefilter is equivalent to the filter that it generates.
This is why prefilters can, by and large, be used interchangeably with the filters that they generate while filter subbases cannot.
Every filter is both a π–system and a ring of sets.
Examples of determining equivalence/non–equivalence
Examples: Let
and let
be the set
of integers (or the set
). Define the sets
All three sets are filter subbases but none are filters on
and only
is prefilter (in fact,
is even free and closed under finite intersections). The set
is fixed while
is free (unless
). They satisfy
but no two of these families are equivalent; moreover, no two of the filters generated by these three filter subbases are equivalent/equal. This conclusion can be reached by showing that the π–systems that they generate are not equivalent. Unlike with
every set in the π–system generated by
contains
as a subset,[note 6] which is what prevents their generated π–systems (and hence their generated filters) from being equivalent. If
was instead
then all three families would be free and although the sets
would remain not equivalent to each other, their generated π–systems would be equivalent and consequently, they would generate the same filter on
; however, this common filter would still be strictly coarser than the filter generated by
Set theoretic properties and constructions
Trace and meshing
If
is a prefilter (resp. filter) on
then the trace of
which is the family
is a prefilter (resp. a filter) if and only if
mesh (that is,
), in which case the trace of
is said to be induced by
.
If
is ultra and if
mesh then the trace
is ultra.
If
is an ultrafilter on
then the trace of
is a filter on
if and only if
For example, suppose that
is a filter on
is such that
Then
mesh and
generates a filter on
that is strictly finer than
When prefilters mesh
Given non–empty families
the family
satisfies
and
If
is proper (resp. a prefilter, a filter subbase) then this is also true of both
In order to make any meaningful deductions about
from
needs to be proper (that is,
which is the motivation for the definition of "mesh".
In this case,
is a prefilter (resp. filter subbase) if and only if this is true of both
Said differently, if
are prefilters then they mesh if and only if
is a prefilter.
Generalizing gives a well known characterization of "mesh" entirely in terms of subordination (that is,
):
Two prefilters (resp. filter subbases)
mesh if and only if there exists a prefilter (resp. filter subbase)
such that
and
If the least upper bound of two filters
exists in
then this least upper bound is equal to
Images and preimages under functions
Throughout,
will be maps between non–empty sets.
Images of prefilters
Let
Many of the properties that
may have are preserved under images of maps; notable exceptions include being upward closed, being closed under finite intersections, and being a filter, which are not necessarily preserved.
Explicitly, if one of the following properties is true of
then it will necessarily also be true of
(although possibly not on the codomain
unless
is surjective):
- Filter properties: ultra, ultrafilter, filter, prefilter, filter subbase, dual ideal, upward closed, proper/non–degenerate.
- Ideal properties: ideal, closed under finite unions, downward closed, directed upward.
Moreover, if
is a prefilter then so are both
The image under a map
of an ultra set
is again ultra and if
is an ultra prefilter then so is
If
is a filter then
is a filter on the range
but it is a filter on the codomain
if and only if
is surjective.
Otherwise it is just a prefilter on
and its upward closure must be taken in
to obtain a filter.
The upward closure of
is
where if
is upward closed in
(that is, a filter) then this simplifies to:
If
then taking
to be the inclusion map
shows that any prefilter (resp. ultra prefilter, filter subbase) on
is also a prefilter (resp. ultra prefilter, filter subbase) on
Preimages of prefilters
Let
Under the assumption that
is surjective:
is a prefilter (resp. filter subbase, π–system, closed under finite unions, proper) if and only if this is true of
However, if
is an ultrafilter on
then even if
is surjective (which would make
a prefilter), it is nevertheless still possible for the prefilter
to be neither ultra nor a filter on
(see this[note 7] footnote for an example).
If
is not surjective then denote the trace of
by
where in this case particular case the trace satisfies:
and consequently also:
This last equality and the fact that the trace
is a family of sets over
means that to draw conclusions about
the trace
can be used in place of
and the surjection
can be used in place of
For example:
is a prefilter (resp. filter subbase, π–system, proper) if and only if this is true of
In this way, the case where
is not (necessarily) surjective can be reduced down to the case of a surjective function (which is a case that was described at the start of this subsection).
Even if
is an ultrafilter on
if
is not surjective then it is nevertheless possible that
which would make
degenerate as well. The next characterization shows that degeneracy is the only obstacle. If
is a prefilter then the following are equivalent:
is a prefilter;
is a prefilter;
;
meshes with 
and moreover, if
is a prefilter then so is
If
and if
denotes the inclusion map then the trace of
is equal to
This observation allows the results in this subsection to be applied to investigating the trace on a set.
Bijections, injections, and surjections
All properties involving filters are preserved under bijections. This means that if
is a bijection, then
is a prefilter (resp. ultra, ultra prefilter, filter on
ultrafilter on
filter subbase, π–system, ideal on
etc.) if and only if the same is true of
A map
is injective if and only if for all prefilters
is equivalent to
The image of an ultra family of sets under an injection is again ultra.
The map
is a surjection if and only if whenever
is a prefilter on
then the same is true of
(this result does not require the ultrafilter lemma).
Subordination is preserved by images and preimages
The relation
is preserved under both images and preimages of families of sets.
This means that for any families
Moreover, the following relations always hold for any family of sets
:
where equality will hold if
is surjective.
Furthermore,
If
then
and
where equality will hold if
is injective.
Products of prefilters
Suppose
is a family of one or more non–empty sets, whose product will be denoted by
and for every index
let
denote the canonical projection.
Let
be non−empty families, also indexed by
such that
for each
The product of the families
is defined identically to how the basic open subsets of the product topology are defined (had all of these
been topologies). That is, both the notations
denote the family of all cylinder subsets
such that
for all but finitely many
and where
for any one of these finitely many exceptions (that is, for any
such that
necessarily
).
When every
is a filter subbase then the family
is a filter subbase for the filter on
generated by
If
is a filter subbase then the filter on
that it generates is called the filter generated by
.
If every
is a prefilter on
then
will be a prefilter on
and moreover, this prefilter is equal to the coarsest prefilter
such that
for every
However,
may fail to be a filter on
even if every
is a filter on
Set subtraction and some examples
Set subtracting away a subset of the kernel
If
is a prefilter on
then
is a prefilter, where this latter set is a filter if and only if
is a filter and
In particular, if
is a neighborhood basis at a point
in a topological space
having at least 2 points, then
is a prefilter on
This construction is used to define
in terms of prefilter convergence.
Using duality between ideals and dual ideals
There is a dual relation
or
which is defined to mean that every
is contained in some
Explicitly, this means that for every
, there is some
such that
This relation is dual to
in sense that
if and only if
The relation
is closely related to the downward closure of a family in a manner similar to how
is related to the upward closure family.
For an example that uses this duality, suppose
is a map and
Define
which contains the empty set if and only if
does. It is possible for
to be an ultrafilter and for
to be empty or not closed under finite intersections (see footnote for example).[note 8] Although
does not preserve properties of filters very well, if
is downward closed (resp. closed under finite unions, an ideal) then this will also be true for
Using the duality between ideals and dual ideals allows for a construction of the following filter.
Suppose
is a filter on
and let
be its dual in
If
then
's dual
will be a filter.
Other examples
Example: The set
of all dense open subsets of a topological space is a proper π–system and a prefilter. If the space is a Baire space, then the set of all countable intersections of dense open subsets is a π–system and a prefilter that is finer than
Example: The family
of all dense open sets of
having finite Lebesgue measure is a proper π–system and a free prefilter. The prefilter
is properly contained in, and not equivalent to, the prefilter consisting of all dense open subsets of
Since
is a Baire space, every countable intersection of sets in
is dense in
(and also comeagre and non–meager) so the set of all countable intersections of elements of
is a prefilter and π–system; it is also finer than, and not equivalent to,
Filters and nets
This section will describe the relationships between prefilters and nets in great detail because of how important these details are applying filters to topology − particularly in switching from utilizing nets to utilizing filters and vice verse − and because it to make it easier to understand later why subnets (with their most commonly used definitions) are not generally equivalent with "sub–prefilters".
Nets to prefilters
A net
is canonically associated with its prefilter of tails
If
is a map and
is a net in
then
Prefilters to nets
A pointed set is a pair
consisting of a non–empty set
and an element
For any family
let
Define a canonical preorder
on pointed sets by declaring
If
even if
so this preorder is not antisymmetric and given any family of sets
is partially ordered if and only if
consists entirely of singleton sets.
If
is a maximal element of
; moreover, all maximal elements are of this form.
If
is a greatest element if and only if
in which case
is the set of all greatest elements. However, a greatest element
is a maximal element if and only if
so there is at most one element that is both maximal and greatest.
There is a canonical map
defined by
If

then the tail of the assignment

starting at

is

Although
is not, in general, a partially ordered set, it is a directed set if (and only if)
is a prefilter.
So the most immediate choice for the definition of "the net in
induced by a prefilter
" is the assignment
from
into
If

is a prefilter on

then the
net associated with 
is the map
that is,

If
is a prefilter on
is a net in
and the prefilter associated with
is
; that is:[note 9]
This would not necessarily be true had
been defined on a proper subset of
For example, suppose
has at least two distinct elements,
is the indiscrete filter, and
is arbitrary. Had
instead been defined on the singleton set
where the restriction of
to
will temporarily be denote by
then the prefilter of tails associated with
would be the principal prefilter
rather than the original filter
;
this means that the equality
is false, so unlike
the prefilter
can not be recovered from
Worse still, while
is the unique minimal filter on
the prefilter
instead generates a maximal filter (that is, an ultrafilter) on
However, if
is a net in
then it is not in general true that
is equal to
because, for example, the domain of
may be of a completely different cardinality than that of
(since unlike the domain of
the domain of an arbitrary net in
could have any cardinality).
Ultranets and ultra prefilters
A net
is called an ultranet or universal net in
if for every subset
is eventually in
or it is eventually in
;
this happens if and only if
is an ultra prefilter.
A prefilter
is an ultra prefilter if and only if
is an ultranet in
Partially ordered net
The domain of the canonical net
is in general not partially ordered. However, in 1955 Bruns and Schmidt discovered[37] a construction that allows for the canonical net to have a domain that is both partially ordered and directed; this was independently rediscovered by Albert Wilansky in 1970.
It begins with the construction of a strict partial order (meaning a transitive and irreflexive relation)
on a subset of
that is similar to the lexicographical order on
of the strict partial orders
For any
in
declare that
if and only if
or equivalently, if and only if
The non−strict partial order associated with
denoted by
is defined by declaring that
Unwinding these definitions gives the following characterization:
if and only if
and also 
which shows that
is just the lexicographical order on
induced by
where
is partially ordered by equality
[note 10]
Both
are serial and neither possesses a greatest element or a maximal element; this remains true if they are each restricted to the subset of
defined by
where it will henceforth be assumed that they are.
Denote the assignment
from this subset by:
If
then just as with
before, the tail of the
starting at
is equal to
If
is a prefilter on
then
is a net in
whose domain
is a partially ordered set and moreover,
Because the tails of
are identical (since both are equal to the prefilter
), there is typically nothing lost by assuming that the domain of the net associated with a prefilter is both directed and partially ordered. If the set
is replaced with the positive rational numbers then the strict partial order
will also be a dense order.
Subordinate filters and subnets
The notion of "
is subordinate to
" (written
) is for filters and prefilters what "
is a subsequence of
" is for sequences.
For example, if
denotes the set of tails of
and if
denotes the set of tails of the subsequence
(where
) then
(that is,
) is true but
is in general false.
Non–equivalence of subnets and subordinate filters
A subset
of a preordered space
is frequent or cofinal in
if for every
there exists some
If
contains a tail of
then
is said to be eventual or eventually in
; explicitly, this means that there exists some
(that is,
). An eventual set is necessarily not empty. A subset is eventual if and only if its complement is not frequent (which is termed infrequent).
A map
between two preordered sets is order–preserving if whenever
Subnets in the sense of Willard and subnets in the sense of Kelley are the most commonly used definitions of "subnet."
The first definition of a subnet was introduced by John L. Kelley in 1955.
Stephen Willard introduced his own variant of Kelley's definition of subnet in 1970.
AA–subnets were introduced independently by Smiley (1957), Aarnes and Andenaes (1972), and Murdeshwar (1983); AA–subnets were studied in great detail by Aarnes and Andenaes but they are not often used.
Kelley did not require the map
to be order preserving while the definition of an AA–subnet does away entirely with any map between the two nets' domains and instead focuses entirely on
− the nets' common codomain.
Every Willard–subnet is a Kelley–subnet and both are AA–subnets.
In particular, if
is a Willard–subnet or a Kelley–subnet of
then
- Example: Let
and let
be a constant sequence, say
Let
and
so that
is a net on
Then
is an AA-subnet of
because
But
is not a Willard-subnet of
because there does not exist any map
whose image is a cofinal subset of
Nor is
a Kelley-subnet of
because if
is any map then
is a cofinal subset of
but
is not eventually in
AA–subnets have a defining characterization that immediately shows that they are fully interchangeable with sub(ordinate)filters.[39]
Explicitly, what is meant is that the following statement is true for AA–subnets:
If
are prefilters then
is an AA–subnet of
If "AA–subnet" is replaced by "Willard–subnet" or "Kelley–subnet" then the above statement becomes false. In particular, the problem is that the following statement is in general false:
False statement: If
are prefilters such that
is a Kelley–subnet of
Since every Willard–subnet is a Kelley–subnet, this statement remains false if the word "Kelley–subnet" is replaced with "Willard–subnet".
- Counter example: For all
let
Let
which is a proper π–system, and let
where both families are prefilters on the natural numbers
Because
is to
as a subsequence is to a sequence.
So ideally,
should be a subnet of
Let
be the domain of
so
contains a cofinal subset that is order isomorphic to
and consequently contains neither a maximal nor greatest element.
Let
is both a maximal and greatest element of
The directed set
also contains a subset that is order isomorphic to
(because it contains
which contains such a subset) but no such subset can be cofinal in
because of the maximal element
Consequently, any order–preserving map
must be eventually constant (with value
) where
is then a greatest element of the range
Because of this, there can be no order preserving map
that satisfies the conditions required for
to be a Willard–subnet of
(because the range of such a map
cannot be cofinal in
).
Suppose for the sake of contradiction that there exists a map
such that
is eventually in
for all
Because
there exist
such that
For every
because
is eventually in
it is necessary that
In particular, if
then
which by definition is equivalent to
which is false.
Consequently,
is not a Kelley–subnet of
[39]
If "subnet" is defined to mean Willard–subnet or Kelley–subnet then nets and filters are not completely interchangeable because there exists a filter–sub(ordinate)filter relationships that cannot be expressed in terms of a net–subnet relationship between the two induced nets. In particular, the problem is that Kelley–subnets and Willard–subnets are not fully interchangeable with subordinate filters. If the notion of "subnet" is not used or if "subnet" is defined to mean AA–subnet, then this ceases to be a problem and so it becomes correct to say that nets and filters are interchangeable. Despite the fact that AA–subnets do not have the problem that Willard and Kelley subnets have, they are not widely used or known about.[39]
See also
Notes
- ^ Indeed, in both the cases
appearing on the right is precisely what makes
"greater", for if
are related by some binary relation
(meaning that
) then whichever one of
appears on the right is said to be greater than or equal to the one that appears on the left with respect to
(or less verbosely, "
–greater than or equal to").
- ^ More generally, for any real numbers satisfying
where
- ^ If
This property and the fact that
is nonempty and proper if and only if
actually allows for the construction of even more examples of prefilters, because if
is any prefilter (resp. filter subbase, π–system) then so is
- ^ It may be shown that if
is any family such that
then
is a prefilter if and only if for all real
there exist real
such that
- ^ For instance, one sense in which a net
could be interpreted as being "maximally deep" is if all important properties related to
(such as convergence for example) of any subnet is completely determined by
in all topologies on
In this case
and its subnet become effectively indistinguishable (at least topologically) if one's information about them is limited to only that which can be described in solely in terms of
and directly related sets (such as its subsets).
- ^ The π–system generated by
(resp. by
) is a prefilter whose elements are finite unions of open (resp. closed) intervals having endpoints in
with two of these intervals being of the forms
(resp.
) where
; in the case of
it is possible for one or more of these closed intervals to be singleton sets (that is, degenerate closed intervals).
- ^ For an example of how this failure can happen, consider the case where there exists some
such that both
and its complement in
contains at least two distinct points.
- ^ Suppose
has more than one point,
is a constant map, and
then
will consist of all non–empty subsets of
- ^ The set equality
holds more generally: if the family of sets
then the family of tails of the map
(defined by
) is equal to
- ^ Explicitly, the partial order on
induced by equality
refers to the diagonal
which is a homogeneous relation on
that makes
into a partially ordered set. If this partial order
is denoted by the more familiar symbol
(that is, define
) then for any
which shows that
(and thus also
) is nothing more than a new symbol for equality on
that is,
The notation
is used because it avoids the unnecessary introduction of a new symbol for the diagonal.
Proofs
- ^ Let
be a filter on
. If
is such that
has the finite intersection property (because for all
). By the ultrafilter lemma, there exists some ultrafilter
such that
(so, in particular,
). Intersecting all such
proves that
- ^ a b To prove that
mesh, let
Because
(resp. because
), there exists some
where by assumption
so
If
is a filter subbase and if
then taking
implies that
If
then there are
such that
and now
This shows that
is a filter subbase.
- ^ This is because if
are prefilters on
then
Citations
- ^ Castillo, Jesus M. F.; Montalvo, Francisco (January 1990), "A Counterexample in Semimetric Spaces" (PDF), Extracta Mathematicae, 5 (1): 38–40
- ^ Bruns G., Schmidt J., Zur Aquivalenz von Moore-Smith-Folgen und Filtern, Math. Nachr. 13 (1955), 169-186.
- ^ a b c Clark, Pete L. (18 October 2016). "Convergence" (PDF). math.uga.edu/. Retrieved 18 August 2020.
References
- Adams, Colin; Franzosa, Robert (2009). Introduction to Topology: Pure and Applied. New Delhi: Pearson Education. ISBN 978-81-317-2692-1. OCLC 789880519.
- Arkhangel'skii, Alexander Vladimirovich; Ponomarev, V.I. (1984). Fundamentals of General Topology: Problems and Exercises. Mathematics and Its Applications. Vol. 13. Dordrecht Boston: D. Reidel. ISBN 978-90-277-1355-1. OCLC 9944489.
- Berberian, Sterling K. (1974). Lectures in Functional Analysis and Operator Theory. Graduate Texts in Mathematics. Vol. 15. New York: Springer. ISBN 978-0-387-90081-0. OCLC 878109401.
- Bourbaki, Nicolas (1989) [1966]. General Topology: Chapters 1–4 [Topologie Générale]. Éléments de mathématique. Berlin New York: Springer Science & Business Media. ISBN 978-3-540-64241-1. OCLC 18588129.
- Bourbaki, Nicolas (1989) [1967]. General Topology 2: Chapters 5–10 [Topologie Générale]. Éléments de mathématique. Vol. 4. Berlin New York: Springer Science & Business Media. ISBN 978-3-540-64563-4. OCLC 246032063.
- Bourbaki, Nicolas (1987) [1981]. Topological Vector Spaces: Chapters 1–5. Éléments de mathématique. Translated by Eggleston, H.G.; Madan, S. Berlin New York: Springer-Verlag. ISBN 3-540-13627-4. OCLC 17499190.
- Burris, Stanley; Sankappanavar, Hanamantagouda P. (2012). A Course in Universal Algebra (PDF). Springer-Verlag. ISBN 978-0-9880552-0-9. Archived from the original on 1 April 2022.
- Cartan, Henri (1937a). "Théorie des filtres". Comptes rendus hebdomadaires des séances de l'Académie des sciences. 205: 595–598.
- Cartan, Henri (1937b). "Filtres et ultrafiltres". Comptes rendus hebdomadaires des séances de l'Académie des sciences. 205: 777–779.
- Comfort, William Wistar; Negrepontis, Stylianos (1974). The Theory of Ultrafilters. Vol. 211. Berlin Heidelberg New York: Springer-Verlag. ISBN 978-0-387-06604-2. OCLC 1205452.
- Császár, Ákos (1978). General topology. Translated by Császár, Klára. Bristol England: Adam Hilger Ltd. ISBN 0-85274-275-4. OCLC 4146011.
- Dixmier, Jacques (1984). General Topology. Undergraduate Texts in Mathematics. Translated by Berberian, S. K. New York: Springer-Verlag. ISBN 978-0-387-90972-1. OCLC 10277303.
- Dolecki, Szymon; Mynard, Frédéric (2016). Convergence Foundations Of Topology. New Jersey: World Scientific Publishing Company. ISBN 978-981-4571-52-4. OCLC 945169917.
- Dugundji, James (1966). Topology. Boston: Allyn and Bacon. ISBN 978-0-697-06889-7. OCLC 395340485.
- Dunford, Nelson; Schwartz, Jacob T. (1988). Linear Operators. Pure and applied mathematics. Vol. 1. New York: Wiley-Interscience. ISBN 978-0-471-60848-6. OCLC 18412261.
- Edwards, Robert E. (1995). Functional Analysis: Theory and Applications. New York: Dover Publications. ISBN 978-0-486-68143-6. OCLC 30593138.
- Howes, Norman R. (23 June 1995). Modern Analysis and Topology. Graduate Texts in Mathematics. New York: Springer-Verlag Science & Business Media. ISBN 978-0-387-97986-1. OCLC 31969970. OL 1272666M.
- Jarchow, Hans (1981). Locally convex spaces. Stuttgart: B.G. Teubner. ISBN 978-3-519-02224-4. OCLC 8210342.
- Jech, Thomas (2006). Set Theory: The Third Millennium Edition, Revised and Expanded. Berlin New York: Springer Science & Business Media. ISBN 978-3-540-44085-7. OCLC 50422939.
- Joshi, K. D. (1983). Introduction to General Topology. New York: John Wiley and Sons Ltd. ISBN 978-0-85226-444-7. OCLC 9218750.
- Kelley, John L. (1975) [1955]. General Topology. Graduate Texts in Mathematics. Vol. 27 (2nd ed.). New York: Springer-Verlag. ISBN 978-0-387-90125-1. OCLC 1365153.
- Köthe, Gottfried (1983) [1969]. Topological Vector Spaces I. Grundlehren der mathematischen Wissenschaften. Vol. 159. Translated by Garling, D.J.H. New York: Springer Science & Business Media. ISBN 978-3-642-64988-2. MR 0248498. OCLC 840293704.
- Koutras, Costas D.; Moyzes, Christos; Nomikos, Christos; Tsaprounis, Konstantinos; Zikos, Yorgos (20 October 2021). "On Weak Filters and Ultrafilters: Set Theory From (and for) Knowledge Representation". Logic Journal of the IGPL. 31: 68–95. doi:10.1093/jigpal/jzab030.
- MacIver R., David (1 July 2004). "Filters in Analysis and Topology" (PDF). Archived from the original (PDF) on 2007-10-09. (Provides an introductory review of filters in topology and in metric spaces.)
- Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
- Robertson, Alex P.; Robertson, Wendy J. (1980). Topological Vector Spaces. Cambridge Tracts in Mathematics. Vol. 53. Cambridge England: Cambridge University Press. ISBN 978-0-521-29882-7. OCLC 589250.
- Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
- Schechter, Eric (1996). Handbook of Analysis and Its Foundations. San Diego, CA: Academic Press. ISBN 978-0-12-622760-4. OCLC 175294365.
- Schubert, Horst (1968). Topology. London: Macdonald & Co. ISBN 978-0-356-02077-8. OCLC 463753.
- Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.
- Wilansky, Albert (2013). Modern Methods in Topological Vector Spaces. Mineola, New York: Dover Publications, Inc. ISBN 978-0-486-49353-4. OCLC 849801114.
- Wilansky, Albert (17 October 2008) [1970]. Topology for Analysis. Mineola, New York: Dover Publications, Inc. ISBN 978-0-486-46903-4. OCLC 227923899.
- Willard, Stephen (2004) [1970]. General Topology. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-43479-7. OCLC 115240.