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In mathematics, a nonempty subset S of a group G is said to be symmetric if

S = S-1

where S-1 = { s-1 : sS}. In other words, S is symmetric if s-1S whenever sS.

If S is a subset of a vector space, then S is said to be symmetric if it is symmetric with respect to the additive group structure of the vector space; that is, if S = -S = { -s : sS}.

Sufficient conditions

Arbitrary unions and intersections of symmetric sets are symmetric.

Examples

See also

Absolutely convex set
Absorbing set – A set that can be "inflated" to eventually always include any given point in a space
Balanced set – Construct in functional analysis
Bounded set (topological vector space)
Convex set – In geometry, set that intersects every line into a single line segment
Minkowski functional
Star domain

References

R. Cristescu, Topological vector spaces, Noordhoff International Publishing, 1977.
Rudin, Walter (January 1, 1991). Functional Analysis. International Series in Pure and Applied Mathematics. 8 (Second ed.). New York, NY: McGraw-Hill Science/Engineering/Math. ISBN 978-0-07-054236-5. OCLC 21163277.
Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
Trèves, François (August 6, 2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.

This article incorporates material from symmetric set on PlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.

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