Are inverse functions in R^n an identity matrix?

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SUMMARY

The discussion centers on the concept of inverse functions and identity matrices in the context of functions mapping from R^n to R^m. The user initially struggles with the notation and understanding that the identity matrix I represents an identity on the image of the function f, while the composition of f and its inverse f^-1 yields an identity on R^n. The clarification provided emphasizes that matrices represent linear transformations, and the output of these transformations is a vector, not a matrix. This distinction resolves the user's confusion regarding the relationship between functions and their inverses.

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  • Understanding of linear transformations in R^n and R^m
  • Familiarity with function composition and inverse functions
  • Knowledge of matrix representation of linear transformations
  • Basic concepts of identity matrices and their properties
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Students and professionals in mathematics, particularly those studying linear algebra, as well as anyone seeking to deepen their understanding of inverse functions and their applications in vector spaces.

GregA
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Sorry if this is the wrong place for my question, I'm having difficulty on a conceptual level getting my head round inverse functions and compositions of functions in R^n. I'm failing to understand my lecture notes as a result.

Suppose I have some function with domain R^n which maps to R^m given by f(x) = f[x1,x2,...,xn]T=[f1(x),f2(x),...,fm(x)]T it seems reasonable that you'd want to define f-1(x) such that f o f-1(x) = I, but is I an identity matrix?. I ask this because f(x) is a vector in R^m, I'd expect some other function g(f(x)) would also be a vector (as opposed to a matrix).
I'm clearly missing something. Can anyone throw me any hints or direct me to some online material that would help me (I have a book on the way in the post)
 
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f(f^-1(x)) = x, not simply I.

You might be thinking of Ix which is x.
 
Your notation for I is incomplete. Your I is an identity on the image of f (a subset of Rm), while the alternative J = f^{-1}\circ f is an identity on Rn.
Matrices represent linear transformations, not the result of a linear transformation. Ie., if g is a linear transformation from Rm into Rn, then g(x) is a vector in Rn while g can be represented by an nxm matrix.
 
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aha!...cheers guys! You're right, I was considering f acting on a vector instead of considering that f by itself is an mxn matrix :redface: :smile:

Things make sense again!
 

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