Matrix m(T)^F_E Explained: Linear Maps U & V

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SUMMARY

The matrix m(T)^{F}_{E} represents the linear transformation T: U → V with respect to the bases E for U and F for V. Specifically, the columns of this matrix consist of the coefficients of the images of the basis vectors from E expressed as linear combinations of the basis vectors in F. This means that for each basis vector ui in E, T(ui) can be expressed as a linear combination of the vectors in F, leading to the matrix representation where M(T)^{F}_{E} = aji, with aji being the coefficients of these combinations.

PREREQUISITES
  • Understanding of linear maps and vector spaces
  • Familiarity with basis vectors and their representations
  • Knowledge of matrix representation of linear transformations
  • Basic concepts of linear combinations and coefficients
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Homework Statement



Let T: U-->V be a linear map between vector spaces U and V and let E be basis for U and F be a basis for V. Explain what is meant by the matrix m(T)^{F}_{E} of T taken with respect to E on the left and F on the right.

Homework Equations





The Attempt at a Solution



I said it means T(E) = \sum^{n}_{j=1} ajifj

where M(T)^{F}_{E} = aji

But the marker said describe matrix and I'm not quite sure what to describe.
 
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The columns of the matrix are the coefficients of the vectors T(ui), where ui are the vectors in basis E written as a linear as a linear combination of the vectors in basis F. that is, I think, essentially what you wrote except that "T(E)" makes no sense to me.
 

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