In mathematics, symmetrization is a process that converts any function in n variables to a symmetric function in n variables. Conversely, anti-symmetrization converts any function in n variables into an antisymmetric function.
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Two variables
Let
The symmetrization of a map
Conversely, the anti-symmetrization or skew-symmetrization of a map
The sum of the symmetrization and the anti-symmetrization of a map α is 2α. Thus, away from 2, meaning if 2 is invertible, such as for the real numbers, one can divide by 2 and express every function as a sum of a symmetric function and an anti-symmetric function.
The symmetrization of a symmetric map is its double, while the symmetrization of an alternating map is zero; similarly, the anti-symmetrization of a symmetric map is zero, while the anti-symmetrization of an anti-symmetric map is its double.
Bilinear forms
The symmetrization and anti-symmetrization of a bilinear map are bilinear; thus away from 2, every bilinear form is a sum of a symmetric form and a skew-symmetric form, and there is no difference between a symmetric form and a quadratic form.
At 2, not every form can be decomposed into a symmetric form and a skew-symmetric form – for instance, over the integers, the associated symmetric form (over the rationals) may take half-integer values, while over
This leads to the notion of ε-quadratic forms and ε-symmetric forms.
Representation theory
In terms of representation theory:
As the symmetric group of order two equals the cyclic group of order two (
n variables
More generally, given a function in n variables, one can symmetrize by taking the sum over all
Here symmetrizing (respectively anti-symmetrizing) a symmetric function multiplies by
In terms of representation theory, these only yield the subrepresentations corresponding to the trivial and sign representation, but for
Bootstrapping
Given a function in k variables, one can obtain a symmetric function in n variables by taking the sum over k element subsets of the variables. In statistics, this is referred to as bootstrapping, and the associated statistics are called U-statistics.