Working with differential forms

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SUMMARY

The discussion focuses on proving the equation dωij + Σk=1n ωik ∧ ωkj = 0 using differential forms in the context of invertible matrices. The participants reference the group G of invertible n x n matrices and the application of differential forms to the matrix entries Xij. A suggested approach involves using the equivalent formula dXij = Σk=1n Xikωkj and applying the exterior derivative d to derive the desired result.

PREREQUISITES
  • Understanding of differential forms and their properties
  • Familiarity with the group of invertible matrices (GL(n, R))
  • Knowledge of exterior derivatives and wedge products
  • Basic linear algebra concepts, particularly matrix operations
NEXT STEPS
  • Study the properties of Maurer-Cartan forms in detail
  • Explore the application of exterior derivatives in differential geometry
  • Learn about the structure and applications of the general linear group GL(n, R)
  • Investigate the relationship between differential forms and linear transformations
USEFUL FOR

Mathematicians, physicists, and students studying differential geometry, particularly those interested in the applications of differential forms in linear algebra and matrix theory.

Demon117
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Homework Statement



Show that
[tex]d\omega_{ij}+\sum_{k=1}^{n} \omega_{ik}\wedge\omega_{kj} =0[/tex]


Homework Equations



Let G be the group of invertible nxn matrices. This is an open set in the vector space
[tex]M=Mat(n\times n, R)[/tex]
and our formalism of differential forms applies there with the coordinate functions now being the entries
[tex]X_{ij}[/tex] of a matrix [tex]X[/tex].
For every linear function
[tex]\lambda : M\rightarrow R[/tex],
there is a unique 1-form
[tex]\omega_{\lambda}\in G[/tex]
that has the value[tex]\lambda[/tex] at I and is invariant under all left multiplications
[tex]L_{\lambda}:Y\rightarrow YX for X\in G[/tex]; that is, [tex]L_{X}^{*}(\omega_{\lambda})=\omega_{\lambda}[/tex]. It is given by
[tex]\omega_{\lambda}(X):Y|\rightarrow\lambda(D(L_{X^{-1}})_{X}(Y))=\lambda(X^{-1}Y), X\in G, Y\in M[/tex].
The basic examples are the Maurer-Cartan forms
[tex]\omega_{ij}(X)(Y)=(X^{-1}Y)_{ij}[/tex]
or
[tex]\omega_{ij}(X)=\sum_{k=1}^{n} (X^{-1}_{ik}dX_{kj})[/tex].



The Attempt at a Solution


HA HA, I don't know. It has been suggested that I use an equivalent formula, namely
[tex]dX_{ij}=\sum_{k=1}^{n} X_{ik}\omega_{kj}[/tex].
Then apply [tex]d[/tex]. Now this will hold for all i and j. To obtain a differential [tex]d\omega_{rj}[/tex], multiply that equation by [tex](X^{-1})_{ri}[/tex] and sum over i.

This suggestion is great, but I am not even sure I really understand it. Any other suggestions on how to prove this, or maybe some tips about this suggestion?
 
Last edited:
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Ok, clearly no one else understands this. . . . but it is actually quite straightforward now that I have done it myself.
 

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