Symmetric algebra

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In mathematics , symmetric algebras are used to define polynomials over any vector space . They play an important role, for example, in the theory of Lie groups and in the theory of characteristic classes .

Formal definition

Let it be a vector space over a body . Be further

the -fold tensor product of with the conventions and . The direct sum

is the tensor algebra of .

The two-sided, homogeneous ideal is generated by differences of elementary tensors with "reversed order":

.

The symmetric algebra is then defined as the quotient space

.

The -th symmetric power of is defined as the image of in , it is denoted by. You have a decomposition

.

The product in symmetric algebra is traditionally written as.

Similarly, one can define the symmetric algebra of modules using commutative rings .

Examples

For is isomorphic to the polynomial ring .

In general, the elements of can be interpreted as polynomials in the elements of a firmly chosen basis of .

Especially for the vector space of - matrices over , you can see the elements of interpreted as polynomials in the entries of the matrices:

.

Polynomials over vector spaces

Polynomials of degree over a vector space are - by definition - the elements from , where denotes the dual space . These polynomials are linear maps

which are invariant under the action of the symmetric group . (Note that such a polynomial is already uniquely determined by its values for all of them .)

The product

is defined by

.

See also

literature