The General Linear Group as a basis for all nxn matrices

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SUMMARY

The discussion focuses on proving that every nxn matrix can be expressed as a linear combination of matrices in the General Linear Group GL(n,F). It establishes that matrices in GL(n,F) are invertible, possessing linearly independent columns and rows. The conversation suggests exploring the relationship between the bases of the n-dimensional column and row spaces and the dimension of M_{nxn}(F), which is n^2. The key insight is that if one can demonstrate that the standard basis matrices can be formed from linear combinations of invertible nxn matrices, the proof is complete.

PREREQUISITES
  • Understanding of General Linear Group GL(n,F)
  • Knowledge of linear combinations and matrix representation
  • Familiarity with vector spaces and isomorphisms
  • Concept of basis in linear algebra
NEXT STEPS
  • Study the properties of GL(n,F) and its role in linear algebra
  • Learn about the relationship between bases of vector spaces and matrix representations
  • Investigate linear combinations of matrices and their implications in matrix theory
  • Explore the concept of isomorphisms in vector spaces and their matrix representations
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Mathematicians, linear algebra students, and educators looking to deepen their understanding of matrix theory and the General Linear Group's applications in linear combinations and vector space isomorphisms.

fishshoe
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I'm trying to prove that every nxn matrix can be written as a linear combination of matrices in GL(n,F).

I know all matrices in GL(n,F) are invertible and hence have linearly independent columns and rows. I was thinking perhaps there is something about the joint bases for the n-dimensional column and row spaces, respectively, that could provide a basis for M_{nxn}(F), which has dimension of n^2.

Is this on the right track?
 
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The easiest bases for the space of nxn matrices is just the matrices with a one as one entry and zeros everywhere else. If you can show that there is a way to make all of these matrice as linear combinations of invertible nxn matrices (just do it explicitly) you are done.

Also remember that the general linear group is not a group of matrices but of isomorphisms of vector spaces. depending on the bases one isomorphism can have different matrices.
 

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