Matrix algebra over finite fields

Click For Summary
SUMMARY

This discussion focuses on the application of matrix algebra over finite fields, specifically GF(p). The user seeks clarity on determining linear independence of matrix rows and comparing row spaces of different matrices. The consensus is that Gaussian elimination is the preferred method for assessing linear independence through rank. Additionally, the discussion highlights that the determinant can indicate linear independence, with a non-zero determinant confirming it.

PREREQUISITES
  • Understanding of linear algebra concepts, particularly matrix operations.
  • Familiarity with finite fields, specifically Galois Field GF(p).
  • Knowledge of Gaussian elimination techniques for matrix rank determination.
  • Basic understanding of determinants and their role in linear independence.
NEXT STEPS
  • Study Gaussian elimination in detail, focusing on its application in finite fields.
  • Learn about the properties of Galois Fields and their implications in linear algebra.
  • Explore methods for comparing row spaces of matrices, including concepts of span and subspace.
  • Investigate determinants in the context of finite fields and their significance in linear independence.
USEFUL FOR

Mathematicians, computer scientists, and students engaged in linear algebra, particularly those working with finite fields and matrix theory.

AngelofMusic
Messages
58
Reaction score
0
Hi,

We recently started analyzing linear machines using matrix algebra. Unfortunately, I haven't had much exposure to operating in finite fields aside from the extreme basics (i.e. the definitions of GF(P)). I can get matrix multiplication/addition, etc. just fine, but it's when finding the properties of a matrix that I'm confused.

How do we know if the rows of a matrix over GF(p) are linearly independent?

More specifically, how can I tell if two nonidentical matrices have the same row space, or if the row space of matrix A is a subspace of the row space of matrix B?

I suspect the answer to my first question is just to do Gaussian elimination and look at the rank instead of doing any algebraic manipulation such as (c1*row1 + c2*row2... ) and so forth.

But suppose I've got two matrices in row echelon form. How would I compare the rowspans of both matrices once I've done that?

I may be missing something very obvious, so your patience is appreciated!
 
Physics news on Phys.org
Linear algebra works the same over any field as it does over R.

For instance, the rows of a matrix are linearly independent if and only if the determinant is different from zero.
 
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 8 ·
Replies
8
Views
3K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K