Linear transformation with 2 ordered basis

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SUMMARY

The discussion focuses on finding the matrix representation of a linear transformation L: R² -> R³ with respect to two ordered bases, [u1, u2] and [b1, b2, b3]. The user outlines the steps to compute the transformation matrix, emphasizing the need to apply the transformation T to each vector in the first basis and express the results in terms of the second basis. The transformation matrix T is defined with respect to the standard basis e, which is crucial for accurate computation. The user seeks confirmation on their methodology for obtaining two distinct matrices corresponding to the different bases.

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Homework Statement



Suppose L:R^2 -> R^3

Find the matrix representing L(x) = Tx with respect to the ordered basis [u1,u2] and [b1.b2,b3]

Homework Equations


The Attempt at a Solution



I've excluded the actual values since i can do the computation. Just wanted to make sure these steps are ok and I should get 2 different matrices (one for each base)

1. [x]_u = u^(-1) [x]_e

[T(x)]_u = u^(-1) Ax

2. [x]_b = b^(-1) [x]_e

[T(x)]_b = b^(-1) Ax

then L with respect to u is

[T(x)]_u= [u^(-1)]*T*u

and L with respect to b is

[T(x)]_b = [b^(-1)]*T*b

(T) is the transformation matrix with respect to standard basis e
sorry for the poor notation.

much appreciated!
 
Last edited:
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I'm not sure what kind of answer you want. Of course, a specific matrix would depend upon the specific T. The standard way to find the matrix representation of a linear transformation is to apply the linear transformation to each vector in the first basis, here {u1, u2} and write the result as a linear combination of vectors in the second basis, here, {v1, v2, b3}.

I don't know what you mean by "(T) is the transformation matrix with respect to standard basis e". The standard basis of which vector space?
 

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