In mathematics, particularly in the subfields of set theory and topology, a set
is said to be saturated with respect to a function
sends two points
Said more succinctly, the set
is called saturated if
is saturated if it is equal to an intersection of open subsets of
In a T1 space every set is saturated.
define its image under
and define its preimage or inverse image under
is defined to be the preimage:
Any preimage of a single point in
is referred to as a fiber of
-saturated and is said to be saturated with respect to
and if any of the following equivalent conditions are satisfied:[1] Related to computability theory, this notion can be extended to programs.
Here, considering a subset
, this can be considered saturated (or extensional) if
In words, given two programs, if the first program is in the set of programs satisfying the property and two programs are computing the same thing, then also the second program satisfies the property.
This means that if one program with a certain property is in the set, all programs computing the same function must also be in the set).
In this context, this notion can extend Rice's theorem, stating that: Let
is any set then its preimage
In particular, every fiber of a map
The empty set
Arbitrary unions of saturated sets are saturated, as are arbitrary intersections of saturated sets.
where note, in particular, that no requirements or conditions were placed on the set
is any map then set
forms a topology on
is also a topological space then
is continuous (respectively, a quotient map) if and only if the same is true of
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