Can Multilinear Maps Be Represented with Matrices?

  • Thread starter Thread starter WWGD
  • Start date Start date
Click For Summary
Multilinear maps can be represented using matrices, but the representation varies with the number of inputs. Linear maps correspond to column vectors, while bilinear maps are represented by matrices with two indices. For trilinear maps, a triply-indexed array is used instead of a matrix. Higher-order p-linear maps can be represented by tensors with p indices, maintaining the structure of the original linear and bilinear theorems. However, the complexity increases with the number of indices, making proofs more cumbersome.
WWGD
Science Advisor
Homework Helper
Messages
7,772
Reaction score
13,008
Hi, everyone:

There are standard ways of representing linear and bilinear maps.
between (fin. dim) vector spaces, after choosing a basis .Linear maps
are represented by columns T(vi) , for a basis {v1,...,vn} (assume B
defined on VxV ), bilinear maps B(x,y) with the matrix Bij=(B(ei,ej))
Is there a way of representing 3-linear, 4-linear, etc. maps with
matrices?. I have played around with matrices T(ei,ej,ek), but
I cannot see how to get a real number as a product of 3 matrices.
Any ideas?.

P.S: I don't know how to setup the spacing.In this forum I was asked
to not leave spacing. In other forums, people complain when I don't
leave spacing, because the lack of spaces force them to strain their
eyes ( where they also complain about how kids today don't understand
music, and about how Frank Sinatra was the last good singer. They also
talk about Selzer water Melba toast, and that hot new comedian Red Skelton.
. Maybe this last explains it :smile:)
 
Physics news on Phys.org
Here is the answer, given to me by someone else (Prof. R. Israel), in case anyone
else is interested:

Suppose T is an n-linear map from V^n to W, and B = {b_i: i=1..m} is a basis
of V. Then the m^n vectors T(b_i) = T(b_{i_1},...,b_{i_n}) for n-tuples
i = (i_1,...,i_n) in {1..m}^n determine T, since if each
x_j = sum_{k = 1}^m c_{j,k} b_k,
T(x_1,...,x_n) = sum_{i in {1..m}^n} product_{j=1}^n c_{j, i_j} T(b_i).

A bilinear map from V^2 to the reals R, for example, can be represented by an
m x m matrix of real numbers: each entry has a pair of indices. A trilinear
map from V^3 to the reals would be represented by a triply-indexed array
of real numbers, rather than a matrix.
 
A p-linear map can be represented by a matrix (tensor) with p indices. Most of the basic theorems with linear maps and bilinear maps are generalized to the p-linear case. The proofs remain the same too, but reading and writing the proofs is really messy because of all the indices.
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

Similar threads

  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
3
Views
3K
Replies
3
Views
2K
Replies
6
Views
11K
Replies
3
Views
4K
  • · Replies 9 ·
Replies
9
Views
4K
Replies
2
Views
6K
Replies
6
Views
11K