In mathematics, symmetrization is a process that converts any function in
n
{\displaystyle n}
variables to a symmetric function in
n
{\displaystyle n}
variables.
Similarly, antisymmetrization converts any function in
n
{\displaystyle n}
variables into an antisymmetric function.
Two variables
Let
S
{\displaystyle S}
be a set and
A
{\displaystyle A}
be an additive abelian group. A map
α
:
S
×
S
→
A
{\displaystyle \alpha :S\times S\to A}
is called a symmetric map if
α
(
s
,
t
)
=
α
(
t
,
s
)
for all
s
,
t
∈
S
.
{\displaystyle \alpha (s,t)=\alpha (t,s)\quad {\text{ for all }}s,t\in S.}
It is called an antisymmetric map if instead
α
(
s
,
t
)
=
−
α
(
t
,
s
)
for all
s
,
t
∈
S
.
{\displaystyle \alpha (s,t)=-\alpha (t,s)\quad {\text{ for all }}s,t\in S.}
The symmetrization of a map
α
:
S
×
S
→
A
{\displaystyle \alpha :S\times S\to A}
is the map
(
x
,
y
)
↦
α
(
x
,
y
)
+
α
(
y
,
x
)
.
{\displaystyle (x,y)\mapsto \alpha (x,y)+\alpha (y,x).}
Similarly, the antisymmetrization or skew-symmetrization of a map
α
:
S
×
S
→
A
{\displaystyle \alpha :S\times S\to A}
is the map
(
x
,
y
)
↦
α
(
x
,
y
)
−
α
(
y
,
x
)
.
{\displaystyle (x,y)\mapsto \alpha (x,y)-\alpha (y,x).}
The sum of the symmetrization and the antisymmetrization of a map
α
{\displaystyle \alpha }
is
2
α
.
{\displaystyle 2\alpha .}
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 antisymmetrization of a symmetric map is zero, while the antisymmetrization of an anti-symmetric map is its double.
Bilinear forms
The symmetrization and antisymmetrization 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
Z
/
2
Z
,
{\displaystyle \mathbb {Z} /2\mathbb {Z} ,}
a function is skew-symmetric if and only if it is symmetric (as
1
=
−
1
{\displaystyle 1=-1}
).
This leads to the notion of ε-quadratic forms and ε-symmetric forms.
Representation theory
In terms of representation theory:
- exchanging variables gives a representation of the symmetric group on the space of functions in two variables,
- the symmetric and antisymmetric functions are the subrepresentations corresponding to the trivial representation and the sign representation, and
- symmetrization and antisymmetrization map a function into these subrepresentations – if one divides by 2, these yield projection maps.
As the symmetric group of order two equals the cyclic group of order two (
S
2
=
C
2
{\displaystyle \mathrm {S} _{2}=\mathrm {C} _{2}}
), this corresponds to the discrete Fourier transform of order two.
n variables
More generally, given a function in
n
{\displaystyle n}
variables, one can symmetrize by taking the sum over all
n
!
{\displaystyle n!}
permutations of the variables,[1] or antisymmetrize by taking the sum over all
n
!
/
2
{\displaystyle n!/2}
even permutations and subtracting the sum over all
n
!
/
2
{\displaystyle n!/2}
odd permutations (except that when
n
≤
1
,
{\displaystyle n\leq 1,}
the only permutation is even).
Here symmetrizing a symmetric function multiplies by
n
!
{\displaystyle n!}
– thus if
n
!
{\displaystyle n!}
is invertible, such as when working over a field of characteristic
0
{\displaystyle 0}
or
p
>
n
,
{\displaystyle p>n,}
then these yield projections when divided by
n
!
.
{\displaystyle n!.}
In terms of representation theory, these only yield the subrepresentations corresponding to the trivial and sign representation, but for
n
>
2
{\displaystyle n>2}
there are others – see representation theory of the symmetric group and symmetric polynomials.
Bootstrapping
Given a function in
k
{\displaystyle k}
variables, one can obtain a symmetric function in
n
{\displaystyle n}
variables by taking the sum over
k
{\displaystyle k}
-element subsets of the variables. In statistics, this is referred to as bootstrapping, and the associated statistics are called U-statistics.
See also
- Alternating multilinear map – Multilinear map that is 0 whenever arguments are linearly dependent
- Antisymmetric tensor – Tensor equal to the negative of any of its transpositions
Notes
- Hazewinkel (1990), p. 344