7. Limits
1. Limit of a filter
Definition 1
Let be a topological space and a filter on . A point is said to be a limit point (or simply a limit) of , if is finer than the neighbourhood filter of ; is also said to converge (or to be convergent) to . The point is said to be a limit of a filter base on , and is said to converge to , if the filter whose base is converges to .
This definition, together with Proposition 4 of § 6, no. 3, gives the following criterion:
Proposition 1
A filter base* on a topological space converges to if and only if every set of a fundamental system of neighbourhoods of contains a set of .
In accordance with the terminology introduced in § 1, no. 2 we can state Proposition 1 in the following way: converges to if and only if there are sets of as near as we please to .
If a filter converges to , then every filter finer than also converges to , by reason of Definition 1. Likewise, if the topology of is replaced by a coarser topology, the neighbourhood filter of is replaced by a coarser filter ( 2, no. 2, Proposition 3), and therefore still converges to in this new topology.
We can therefore say that the finer the topology, the fewer convergent filters there are in this topology. In particular, in the discrete topology, the only convergent filters are the neighbourhood filters, for these are the trivial ultrafilters on ( 6, no. 4).
Let be a set of filters on , all of which converge to the same point ; the neighbourhood filter is coarser than all the filters of , hence also coarser than the intersection of these filters; in other words, also converges to .
Proposition 2
A filter* on a topological space converges to a point if and only if every ultrafilter which is finer than converges to .
This is an immediate consequence of the preceding remarks and Proposition 7 of § 6, no. 4.
In general a filter can have several distinct limit points; we shall revert to this question in § 8, no. 1.
2. Cluster point of a filter base
Definition 2
In a topological space* , a point is a cluster point of a filter base on if it lies in the closure of all the sets of .
If is a cluster point of a filter base , it is also a cluster point of every equivalent filter base by reason of § 6, no. 3, corollary to Proposition 4; in particular, is a cluster point of the filter whose base is .
Proposition 3
A point x is a cluster point of a filter base B if and only if every set of a fundamental system of neighbourhoods of x meets every set of B.
This follows immediately from the definitions.
This proposition and Corollary 2 to Proposition 1 of § 6, no. 2 show that the property "x is a cluster point of the filter " is equivalent to the property "there is a filter which is finer than both and the neighbourhood filter of x". In other words:
Proposition 4
A point x is a cluster point of a filter if and only if there is a filter finer than which converges to x.
In particular, every limit point of a filter is a cluster point of .
Corollary
An ultrafilter converges to a point x if and only if x is a cluster point of .
If x is a cluster point of a filter , it is also a cluster point of every filter coarser than ; likewise, if we replace the topology of X by a coarser topology, x remains a cluster point of in the new topology.
The set of cluster points of a filter base on X is by definition the set , whence
Proposition 5
The set of cluster points of a filter base on a topological space X is closed in X.
Proposition 6
Let be a filter base on a subset A of a topological space X. Then every cluster point of in X belongs to ; and conversely every point of is a limit point of a filter on A.
The first assertion is trivial; on the other hand, if , the trace on A of the neighbourhood filter of x in X is a filter on A which evidently converges to x.
Remark
A filter on a topological space need have no cluster points (and a fortiori no limit points); for example, in an infinite discrete space the filter of complements of finite subsets has no cluster points. Spaces in which every filter has a cluster point play an important role in mathematics, and we shall study them in § 9.
3. Limit point and cluster point of a function
Definition 3
Let f be a mapping of a set X into a topological space Y, and let be a filter on X. A point is said to be a limit point (or simply a limit) (resp. cluster point) of f with respect to the filter if y is a limit point (resp. cluster point) of the filter base .
The relation "y is a limit of f with respect to the filter " is written , or , or if there is no risk of confusion.
From Definition 3 and Propositions 1 (no. 1) and 3 (no. 2) we deduce the following criteria:
Proposition 7
A point is a limit of with respect to the filter if and only if, for each neighbourhood of in , there is a set such that (i.e. for each neighbourhood of ).* *A point is a cluster point of with respect to if and only if for each neighbourhood of and each there is a point such that .
Example 1
A sequence of points of a topological space is a mapping of into . In analysis one frequently uses the notions of limit point and cluster point of such a mapping with respect to the Fréchet filter (§ 6, no. 1) on ; if is a limit of with respect to the Fréchet filter, is said to be a limit of the sequence as n tends to infinity, and we write . A cluster point of the mapping with respect to the Fréchet filter is called a cluster point of the sequence .
Thus a point is a limit (resp. cluster point) of a sequence of points of if it is a limit point (resp. cluster point) of the elementary filter associated with (§ 6, no. 8).
The point is a limit of a sequence in if and only if, for every neighbourhood of in , all but a finite number of the terms of the sequence are in , i.e. there is an integer such that for all . Likewise is a cluster point of the sequence if and only if, for every neighbourhood of in and every integer , there is an integer such that .
Example 2
More generally, let be a mapping of a directed set into a topological space . If is a limit (resp. cluster point) of with respect to the section filter of then is said to be a limit (resp. cluster point) of with respect to the directed set , and we write .
If is a limit (resp. cluster point) of a mapping with respect to a filter on , then remains a limit (resp. cluster point) of with respect to if we replace the topology of by a coarser topology, or if we replace the filter by a finer (resp. coarser) filter.
Proposition 8
Let be a mapping of a set into a topological space ; then is a cluster point of with respect to if and only if there is a filter on which is finer than and such that is a limit of with respect to .
For if is a cluster point of with respect to , and if is the neighbourhood filter of , then is a filter base on since every set of meets every set of (§ 6, no. 6). This remark shows also that there is a filter on which is finer than both and the filter with base (§ 6, no. 2, Proposition 1, Corollary 2), hence that is a limit point of with respect to .
Notice finally that if is a mapping of a set into a topological space , the set of cluster points of with respect to a filter on is closed in (no. 2, Proposition 5) and possibly empty.
Remark
If is a limit (resp. cluster point) of a mapping with respect to a filter on , then is also a limit (resp. cluster point) of every function which has the same germ as with respect to (§ 6, no. 9); is said to be a limit (resp. cluster point) of the germ of with respect to .
4. Limits and continuity
Let be two topological spaces, a mapping of into , the neighbourhood filter in of a point . Instead of saying that is a limit of with respect to the filter and writing , we use the special notation
and we say that is a limit of at the point , or that tends to as tends to . Similarly, instead of saying that is a cluster point of with respect to , we say that is a cluster point of at the point .
A consideration of the definition of continuity (§ 2, no. 1, Definition 1) Proposition 7 of no. 3 shows that:
Proposition 9
A mapping* of a topological space into a topological space is continuous at a point if and only if .
Corollary 1
Let* be two topological spaces, a mapping of into which is continuous at a point ; then, for every filter base on which converges to , the filter base converges to . Conversely if, for every ultrafilter on which converges to , the ultrafilter base converges to , then is continuous at .
The first assertion is an immediate consequence of Proposition 9. To prove the second, suppose that is not continuous at ; then there is a neighbourhood W of in Y such that does not belong to the filter of neighbourhoods of in X. Hence (§ 6, no. 4, Proposition 7) there is an ultrafilter , finer than , which does not contain and therefore contains its complement (§ 6, no. 4, Proposition 5); since , does not converge to .
Corollary 2
Let g be a mapping of a set Z into a topological space X, which has a limit a with respect to a filter on Z; then if the map is continuous at a, the composition has as a limit point with respect to .
5. Limits relative to a subspace
Let X, Y be two topological spaces, let A be a subset of X, and let be a point of the closure of A (but not necessarily in A). Let be the trace on A of the neighbourhood filter of in X. If is a mapping of A into Y, then instead of saying that is a limit of with respect to and writing , we write
and we say that is a limit of f at a, relative to the subspace A, or that tends to y as x tends to a while remaining in A. We have then .
If where is not an isolated point of X, then we write
instead of .
We make analogous definitions for cluster points.
If is the restriction to A of a mapping , we say that has a limit (resp. cluster point) relative to A at a point , if is a limit (resp. cluster point) of at , relative to A.
Let B be a subset of A and let be a point of the closure of B; if is a limit at , relative to A, of a map , then is also a limit of at , relative to B; the converse is not necessarily true.
But if V is a neighbourhood in X of a point and if has a limit at , relative to , then is still a limit of at , relative to A.
Let be a non-isolated point of X, so that is in the closure of . Then a mapping is continuous at if and only if we have ; this follows immediately from the definitions.
6. Limits in product spaces and quotient spaces
Proposition 10
Let be a set, let be a family of topological spaces, and for each let be a mapping of into . Let be given the coarsest topology for which the are continuous. Then a necessary and sufficient condition for a filter on to converge to is that for each the filter base should converge to in .
The condition is necessary since the are continuous (no. 4, Proposition 9, Corollary 1). Conversely, suppose that the condition is satisfied, and let be an open neighbourhood of in . By the definition of (§ 2, no. 3, Proposition 4) there is a finite subset of , and for each an open subset of , such that for and such that contains the set
Corollary 1
A filter on a product space converges to a point if and only if for each the filter base converges to .
Corollary 2
Let be a mapping of a set into a product space . Then has a limit with respect to a filter on if and only if for each has limit with respect to .
Proposition 11
Let be an open equivalence relation on a topological space and let be the canonical mapping . Then for each and each filter base on which converges to , there is a filter base on which converges to and is such that is equivalent to .
If is any neighbourhood of in , then is a neighbourhood of in (§ 5, no. 3, Proposition 5), hence there is a set such that ; if we put , then . This shows that as runs through and runs through the neighbourhood filter of , the sets form a filter base on ; clearly converges to and is equivalent to .
Exercises
See the exercises for § 7.