It turns out that S(V) is in effect the same as the polynomial ring, over K, in indeterminates that are basis vectors for V. Therefore this construction only brings something extra, in case the naturality of looking at polynomials this way has some advantage. The construction of S(V) is also a special case, that of the Lie bracket always being 0, of the universal enveloping algebra construction.
It is possible to use the tensor algebraT(V) to describe the symmetric algebra S(V). In fact we pass from the tensor algebra to the symmetric algebra by forcing it to be commutative; if elements of V commute, then tensors in them must, so that we should take the quotient ring of T(V) by the ideal generated by all differences of products
vw − wv
for v and w in V. Given the polynomial ring as model, one expects and can prove a direct sum decomposition of S(V) as a graded algebra, into summands
Sk(V)
which consist of the linear span of the monomials in vectors of V of degree k, for k = 0, 1, 2, ... (with S0(V) = K and S1(V)=V). The K-vector space Sk(V) is the k-th symmetric power of V. It has a universal property with respect to symmetric multilinear operators defined on Vk. The Sk are functors comparable to the exterior powers; here though, of course, the dimension grows with k.
Linear algebra is the branch of mathematics devoted to the theory of linear structure.
From the geometric point of view, “linear” is synonymous with “straight”, and consequently linear algebra can be regarded as the branch of mathematics dealing with lines and planes, as well as with transformations of space that preserve “straightness”, e.g.
This is version 4 of linear algebra, born on 2002-02-22, modified 2005-01-23.