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

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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

Kernel of a function

For the formal definition, let be a function between two sets. Elements are equivalent if and are equal, that is, are the same element of The kernel of is the equivalence relation thus defined. [2]

Kernel of a family of sets

The kernel of a family of sets is [3] The kernel of is also sometimes denoted by The kernel of the empty set, is typically left undefined. A family is called fixed and is said to have non-empty intersection if its kernel is not empty. [3] A family is said to be free if it is not fixed; that is, if its kernel is the empty set. [3]

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

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

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; [4] [5] said differently, a space is compact if and only if every family of closed subsets with F.I.P. is fixed.

See also

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References

  1. Mac Lane, Saunders; Birkhoff, Garrett (1999), Algebra, Chelsea Publishing Company, p. 33, ISBN   0821816462 .
  2. 1 2 3 4 Bergman, Clifford (2011), Universal Algebra: Fundamentals and Selected Topics, Pure and Applied Mathematics, vol. 301, CRC Press, pp. 14–16, ISBN   9781439851296 .
  3. 1 2 3 Dolecki & Mynard 2016, pp. 27–29, 33–35.
  4. Munkres, James (2004). Topology. New Delhi: Prentice-Hall of India. p. 169. ISBN   978-81-203-2046-8.
  5. A space is compact iff any family of closed sets having fip has non-empty intersection at PlanetMath .

Bibliography