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From: Kaba on 20 Jun 2010 18:29 Stephen Montgomery-Smith wrote: > Kaba wrote: > > Axel Vogt wrote: > >> Kaba wrote: > >>> Hi, > >>> > >>> I'd like construct matrix algebra as an algebra over a field. How would > >>> you approach this? > >> > >> multiplication = composition of morphisms ? > > > > Yes, but what confuses me is that there are all linear transformations > > from R^n from R^m, for all n, m in N, where N is natural numbers. And > > (R^n -> R^m) o (R^m -> R^p) gives (R^n -> R^p) etc. I would need some > > common object to represent them all to keep composition closed. > > R^{N x N} comes to mind. > > How about using finite rank bounded linear operators on a Hilbert space > as the common object? I think that is more or less what I meant by the R^{N x N} (assuming there are only finitely many non-zero entries). Here's one try: Let M = {A in R^{m x n} : m, n in N} union {E}, where the elements of R^{m x n} are taken as just arrays of numbers with no additional structure, and E is the empty set representing a special empty matrix E. Give a vector-space structure to M by pointwise addition and multiplication by a scalar (real number), when the extents match. Otherwise, define the result as E. Define * : M x M -> M: o(A, B), as the familiar matrix multiplication of A and B, when the extents are consistent, and E otherwise. This operation is bilinear. Then C = (M, *) is an algebra over a field, called the matrix algebra (over the reals). -- http://kaba.hilvi.org
From: Kaba on 20 Jun 2010 18:42 Kaba wrote: > Then C = (M, *) is an algebra over a field, called the matrix algebra > (over the reals). But damn... I failed to capture the identity element so that I could say it is unital. So not good enough. -- http://kaba.hilvi.org
From: Stephen Montgomery-Smith on 20 Jun 2010 18:51 Kaba wrote: > Kaba wrote: >> Then C = (M, *) is an algebra over a field, called the matrix algebra >> (over the reals). > > But damn... I failed to capture the identity element so that I could say > it is unital. So not good enough. > To do that, use the matrices that are the sum of a multiple of the identity and a finite rank matrix. The identity HAS to be an "infinite matrix."
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