Kernel (set theory)
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In set theory, the kernel of a function (or equivalence kernel[1]) 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 can tell",[2] or
- the corresponding partition of the domain.
An unrelated notion is that of the kernel of a non-empty family of sets which by definition is the intersection of all its elements: This definition is used in the theory of filters to classify them as being free or principal.
Definition
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For the formal definition, let be a function between two sets. Elements are equivalent if and only if and are equal, that is, are the same element of The kernel of is the equivalence relation thus defined.[2]
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Quotients
Like any equivalence relation, the kernel can be modded out to form a quotient set, and the quotient set is the partition:
This quotient set is called the coimage of the function and denoted (or a variation). The coimage is naturally isomorphic (in the set-theoretic sense of a bijection) to the image, specifically, the equivalence class of in (which is an element of ) corresponds to in (which is an element of ).
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 In this guise, the kernel may be denoted (or a variation) and may be defined symbolically as[2]
The study of the properties of this subset can shed light on
Algebraic structures
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If and are algebraic structures of some fixed type (such as groups, rings, or vector spaces), and if the function is a homomorphism, then is a congruence relation (that is an equivalence relation that is compatible with the algebraic structure), and the coimage of is a quotient of [2] The bijection between the coimage and the image of is an isomorphism in the algebraic sense; this is the most general form of the first isomorphism theorem.
In topology
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If is a continuous function between two topological spaces then the topological properties of can shed light on the spaces and For example, if is a Hausdorff space then must be a closed set. Conversely, if is a Hausdorff space and is a closed set, then the coimage of 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;[3][4] said differently, a space is compact if and only if every family of closed subsets with F.I.P. is fixed.
See also
References
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- ^ Page Module:Citation/CS1/styles.css has no content.Mac Lane, Saunders; Birkhoff, Garrett (1999), Algebra, Chelsea Publishing Company, p. 33, ISBN 0821816462.
- ^ a b c d Page Module:Citation/CS1/styles.css has no content.Bergman, Clifford (2011), Universal Algebra: Fundamentals and Selected Topics, Pure and Applied Mathematics, vol. 301, CRC Press, pp. 14–16, ISBN 9781439851296.
- ^ Page Module:Citation/CS1/styles.css has no content.Munkres, James (2004). Topology. New Delhi: Prentice-Hall of India. p. 169. ISBN 978-81-203-2046-8.
- ^ A space is compact iff any family of closed sets having fip has non-empty intersection at PlanetMath.
Bibliography
- Page Module:Citation/CS1/styles.css has no content.Awodey, Steve (2010) [2006]. Category Theory. Oxford Logic Guides. Vol. 49 (2nd ed.). Oxford University Press. ISBN 978-0-19-923718-0.
- Template:Dolecki Mynard Convergence Foundations Of Topology