Linear algebra invertible transformation of coordinates

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SUMMARY

The discussion focuses on the conditions under which a coordinate transformation is invertible, particularly in the context of linear transformations represented by the equation A^{x'} = T(A^{x}). It emphasizes the importance of the determinant criterion, stating that for a linear transformation T_{mn}, the condition det T_{mn} ≠ 0 ensures bijectivity. The conversation also highlights the distinction between bijections and isomorphisms, noting that isomorphisms require linearity and continuity, while bijections only require a one-to-one correspondence. The discussion concludes that arbitrary coordinate transformations necessitate the definition of an inverse function to establish bijectivity.

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  • Understanding of linear transformations and their properties
  • Knowledge of determinants and their role in bijectivity
  • Familiarity with the concepts of bijections and isomorphisms
  • Basic principles of coordinate transformations in vector spaces
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  • Learn about the inverse function theorem in non-linear transformations
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Homework Statement
Under what conditions is a coordinate transformation invertible in a neighborhood of some point?
Relevant Equations
N.
##A^{x'} = T(A^{x})##, where T is a linear transformation, in such way maybe i could express the transformation as a changing of basis from x to x' matrix:
##A^{x} = T_{mn}(A^{x'})##, in such conditions, i could say det ##T_{mn} \neq 0##. But how to deal with, for example, ##(x,y) -> (e^x,e^y)## ?
 
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Think about the Jacobian.
 
LCSphysicist said:
Homework Statement:: Under what conditions is a coordinate transformation invertible in a neighborhood of some point?
Relevant Equations:: N.

##A^{x'} = T(A^{x})##, where T is a linear transformation, in such way maybe i could express the transformation as a changing of basis from x to x' matrix:
##A^{x} = T_{mn}(A^{x'})##, in such conditions, i could say det ##T_{mn} \neq 0##. But how to deal with, for example, ##(x,y) -> (e^x,e^y)## ?
If the transformation is linear, you used the determinant criterion to check bijectivity. If it is not linear, then you obviously cannot use theorems about linear transformations. In that case you will have to define the inverse function and show that it is a bijection.

There is a difference between a bijection and an isomorphism. Isomorphisms belong to a certain category, here the category of vector spaces. This requires linearity. If the category is e.g. the topological spaces, then continuity in both directions is required, in the case of smooth manifolds it is differentiability. A bijection on the other hand is merely an isomorphism on the category of sets, where no further structure is considered, just sets.

By allowing an arbitrary coordinate transformation, you changed from the category of vector spaces to the category of sets. This means you forgot all linear structures. So you have to show that there is a second transformation ##T'## such that ##T\circ T'## and ##T'\circ T## are both identities of the corresponding set of vectors.
 

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