From: Axel Vogt on 23 Sep 2009 14:19 Omega Cubed wrote: > On 2009-09-23, ganesh <ganeshs138(a)gmail.com> wrote: >> you answered the right question, and I think I understood. >> How does this change for an asymetric tensor? >> v1^a1.v2^a2 and v2^a2.v1^a1 would be two different axis for an >> asymetric tensor, but for a symetric tensor these are the same. Is >> this right? > > The space of fully antisymetric tensor of rank n over a vector space of > dimension m has [ m choose n ] dimensions. > > I am too lazy to do the explanation here, so go look up "alternating > forms" somewhere. The reason is really simple. > > In general, v1 tensor v2 and v2 tensor v1 are two different tensors. > In the symmetric case, the reason we only count them once is that by > the symmetry, v1 tensor v2 by itself is not a symmetric tensor. Or > that if a symmetric tensor has a v1 tensor v2 component, it must also > have a v2 tensor v1 component with the same coefficient. One cannot > appear without the other. > > In the most generality, the space of rank n tensors over a vector > space of m dimensions has dimension m^n. There are some interesting > subspaces in there if you apply various types of symmetry assumptions. > For example, you can ask: what is the subspace of tensors such that > the first two spots is symmetric, the third spot and the fourth spot > is antisymmetric, the fifth and sixth antisymmetric, but if you > simultaneously swap the third and fifth AND the fourth and sixth it is > symmetric. These are some seriously hard questions. If you are > interested in it, the best (and I think only) source is the book by > Hermann Weyl called "Classical Groups: their invariants and > representations". > > W Bourbaki, Algebre III should have, I think it is the one which treats the tensor algebras
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