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==In topology== {{Main|Filters in topology}} In [[general topology]] and analysis, filters are used to define convergence in a manner similar to the role of [[sequence]]s in a [[metric space]]. They unify the concept of a [[Limit (mathematics)|limit]] across the wide variety of arbitrary [[topological space]]s. To understand the need for filters, begin with the equivalent concept of a [[Net (mathematics)|net]]. A [[sequence]] is usually indexed by the [[natural numbers]] {{Math|{{mathbb|N}}}}, which are a [[totally ordered set]]. Nets generalize the notion of a sequence by replacing {{Math|{{mathbb|N}}}} with an arbitrary [[directed set]]. In certain categories of topological spaces, such as [[first-countable space]]s, sequences characterize most topological properties, but this is not true in general. However, nets β as well as filters β always do characterize those topological properties. Filters do not involve any set external to the topological space {{Mvar|X}}, whereas sequences and nets rely on other directed sets. For this reason, the collection of all filters on {{Mvar|X}} is always a [[Set (mathematics)|set]], whereas the collection of all {{Mvar|X}}-valued nets is a [[proper class]]. === Neighborhood bases === Any point {{Mvar|x}} in the topological space {{Mvar|X}} defines a [[Neighbourhood system|neighborhood filter or system]] {{Math|{{mathcal|N}}<sub>''x''</sub>}}: namely, the family of all sets containing {{Mvar|x}} in their [[Interior (topology)|interior]]. A set {{Math|{{mathcal|N}}}} of neighborhoods of {{Mvar|x}} is a [[neighbourhood base|neighborhood base]] at {{Mvar|x}} if {{Math|{{mathcal|N}}}} generates {{Math|{{mathcal|N}}<sub>''x''</sub>}}. Equivalently, {{Math|''S'' ⊆ ''X''}} is a neighborhood of {{Mvar|x}} if and only if there exists {{Math|''N'' ∈ {{mathcal|N}}}} such that {{Math|''N'' ⊆ ''S''}}. ==== Convergent filters and cluster points ==== A prefilter {{Mvar|B}} [[Convergent prefilter|converges]] to a point {{Mvar|x}}, written {{Math|''B'' → ''x''}}, if and only if {{Mvar|B}} generates a filter {{Mvar|F}} that contains the neighborhood filter {{Math|{{mathcal|N}}<sub>''x''</sub>}} β explicitly, for every neighborhood {{Mvar|U}} of {{Mvar|x}}, there is some {{Math|''V'' ∈ ''B''}} such that {{Math|''V'' ⊆ ''U''}}. Less explicitly, {{Math|''B'' → ''x''}} if and only if {{Mvar|B}} refines {{Math|{{mathcal|N}}<sub>''x''</sub>}}, and any neighborhood base at {{Mvar|x}} can replace {{Math|{{mathcal|N}}<sub>''x''</sub>}} in this condition. Clearly, every [[neighbourhood base|neighborhood base]] at {{Mvar|x}} converges to {{Mvar|x}}. A filter {{Mvar|F}} (which generates itself) converges to {{Mvar|x}} if {{Math|{{mathcal|N}}<sub>''x''</sub> ⊆ ''F''}}. The above can also be reversed to characterize the neighborhood filter {{Math|{{mathcal|N}}<sub>''x''</sub>}}: {{Math|{{mathcal|N}}<sub>''x''</sub>}} is the finest filter coarser than each filter converging to {{Mvar|x}}. If {{Math|''B'' → ''x''}}, then {{Mvar|x}} is called a [[Limit of a filter|limit]] (point) of {{Mvar|B}}. The prefilter {{Mvar|B}} is said to cluster at {{Mvar|x}} (or have {{Mvar|x}} as a [[Cluster point of a filter|cluster point]]) if and only if each element of {{Mvar|B}} has non-empty intersection with each neighborhood of {{Mvar|x}}. Every limit point is a cluster point but the converse is not true in general. However, every cluster point of an {{em|ultra}}filter is a limit point.
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