Kernel (set theory)

{{short description|Equivalence relation expressing that two elements have the same image under a function}}

{{other uses|Kernel (disambiguation)}}

{{refimprove|date=December 2009}}

In set theory, the kernel of a function f (or equivalence kernel{{citation|title=Algebra|year=1999|first1=Saunders|last1=Mac Lane|author1link = Saunders Mac Lane|author2link = Garrett Birkhoff|first2=Garrett|last2=Birkhoff|publisher=Chelsea Publishing Company|isbn=0821816462|url=https://books.google.com/books?id=L6FENd8GHIUC&pg=PA33|pages=33}}.) may be taken to be either

  • the equivalence relation on the function's domain that roughly expresses the idea of "equivalent as far as the function f can tell",{{citation|title=Universal Algebra: Fundamentals and Selected Topics|series=Pure and Applied Mathematics|volume=301|first=Clifford|last=Bergman|publisher=CRC Press|year=2011|isbn=9781439851296|url=https://books.google.com/books?id=QXi3BZWoMRwC&pg=PA14|pages=14–16}}. or
  • the corresponding partition of the domain.

An unrelated notion is that of the kernel of a non-empty family of sets \mathcal{B}, which by definition is the intersection of all its elements:

\ker \mathcal{B} ~=~ \bigcap_{B \in \mathcal{B}} \, B.

This definition is used in the theory of filters to classify them as being free or principal.

Definition

{{visible anchor|Kernel of a function}}

For the formal definition, let f : X \to Y be a function between two sets.

Elements x_1, x_2 \in X are equivalent if f\left(x_1\right) and f\left(x_2\right) are equal, that is, are the same element of Y.

The kernel of f is the equivalence relation thus defined.

{{visible anchor|Kernel of a family of sets}}

The {{visible anchor|kernel of a family of sets|text=kernel of a family \mathcal{B} \neq \varnothing of sets}} is{{sfn|Dolecki|Mynard|2016|pp=27–29, 33–35}}

\ker \mathcal{B} ~:=~ \bigcap_{B \in \mathcal{B}} B.

The kernel of \mathcal{B} is also sometimes denoted by \cap \mathcal{B}. The kernel of the empty set, \ker \varnothing, is typically left undefined.

A family is called {{em|{{visible anchor|fixed}}}} and is said to have {{em|{{visible anchor|non-empty intersection}}}} if its {{em|kernel}} is not empty.{{sfn|Dolecki|Mynard|2016|pp=27–29, 33–35}}

A family is said to be {{em|{{visible anchor|free}}}} if it is not fixed; that is, if its kernel is the empty set.{{sfn|Dolecki|Mynard|2016|pp=27–29, 33–35}}

Quotients

Like any equivalence relation, the kernel can be modded out to form a quotient set, and the quotient set is the partition:

\left\{\, \{w \in X : f(x) = f(w)\} ~:~ x \in X \,\right\} ~=~ \left\{f^{-1}(y) ~:~ y \in f(X)\right\}.

This quotient set X /=_f is called the coimage of the function f, and denoted \operatorname{coim} f (or a variation).

The coimage is naturally isomorphic (in the set-theoretic sense of a bijection) to the image, \operatorname{im} f; specifically, the equivalence class of x in X (which is an element of \operatorname{coim} f) corresponds to f(x) in Y (which is an element of \operatorname{im} f).

As a subset of the Cartesian product

Like any binary relation, the kernel of a function may be thought of as a subset of the Cartesian product X \times X.

In this guise, the kernel may be denoted \ker f (or a variation) and may be defined symbolically as

\ker f := \{(x,x') : f(x) = f(x')\}.

The study of the properties of this subset can shed light on f.

Algebraic structures

{{See also|Kernel (algebra)}}

If X and Y are algebraic structures of some fixed type (such as groups, rings, or vector spaces), and if the function f : X \to Y is a homomorphism, then \ker f is a congruence relation (that is an equivalence relation that is compatible with the algebraic structure), and the coimage of f is a quotient of X.

The bijection between the coimage and the image of f is an isomorphism in the algebraic sense; this is the most general form of the first isomorphism theorem.

In topology

{{See also|Filters in topology}}

If f : X \to Y is a continuous function between two topological spaces then the topological properties of \ker f can shed light on the spaces X and Y.

For example, if Y is a Hausdorff space then \ker f must be a closed set.

Conversely, if X is a Hausdorff space and \ker f is a closed set, then the coimage of f, if given the quotient space topology, must also be a Hausdorff space.

A space is compact if and only if the kernel of every family of closed subsets having the finite intersection property (FIP) is non-empty;{{cite book|first=James|last=Munkres|authorlink = James Munkres|title=Topology|isbn=978-81-203-2046-8|publisher=Prentice-Hall of India|location=New Delhi|date=2004|page=169}}{{planetmath| urlname=ASpaceIsCompactIffAnyFamilyOfClosedSetsHavingFipHasNonemptyIntersection|title=A space is compact iff any family of closed sets having fip has non-empty intersection}} said differently, a space is compact if and only if every family of closed subsets with F.I.P. is fixed.

See also

  • {{annotated link|Filter (set theory)}}

References

{{reflist}}

Bibliography

  • {{cite book|last=Awodey|first=Steve|authorlink=Steve Awodey|title=Category Theory|edition=2nd|orig-year=2006|year=2010|publisher=Oxford University Press|isbn=978-0-19-923718-0|series=Oxford Logic Guides|volume=49}}
  • {{Dolecki Mynard Convergence Foundations Of Topology}}

{{DEFAULTSORT:Kernel (Set Theory)}}

Category:Abstract algebra

Category:Basic concepts in set theory

Category:Set theory

Category:Topology