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

In summary, the concept of the matrix m(T)^{F}_{E} of a linear map T between vector spaces U and V, with respect to bases E and F, is represented by the columns of the matrix being the coefficients of the vectors T(ui), where ui are the vectors in basis E written as a linear combination of the vectors in basis F.
  • #1
sunnyday11
14
0

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)[tex]^{F}_{E}[/tex] 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) = [tex]\sum[/tex][tex]^{n}_{j=1}[/tex] ajifj

where M(T)[tex]^{F}_{E}[/tex] = aji

But the marker said describe matrix and I'm not quite sure what to describe.
 
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  • #2
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.
 

1. What is a matrix representation of a linear map?

A matrix representation of a linear map is a way to represent a linear transformation between two vector spaces using a matrix. This allows us to perform calculations and operations on the linear map using matrix operations.

2. How do you determine the matrix representation of a linear map?

To determine the matrix representation of a linear map, you need to choose a basis for both the domain and codomain vector spaces. Then, for each basis vector in the domain, apply the linear map and write the resulting vector as a linear combination of the basis vectors in the codomain. The coefficients of the linear combination will form the columns of the matrix representation.

3. What is the significance of the matrix m(T)^F_E in the expression "Matrix m(T)^F_E Explained: Linear Maps U & V"?

The matrix m(T)^F_E represents the matrix representation of a linear map T between two vector spaces U and V. The superscripts F and E indicate the chosen bases for the domain and codomain vector spaces, respectively. This matrix is used to perform operations on the linear map using matrix operations.

4. How do you apply a linear map to a vector using its matrix representation?

To apply a linear map to a vector using its matrix representation, you simply multiply the vector by the matrix representation. This is done by writing the vector as a column vector and performing matrix multiplication. The resulting vector will be the image of the original vector under the linear map.

5. Can you explain the concept of composition of linear maps using the notation m(T)^F_E?

Yes, the notation m(T)^F_E can be used to represent the composition of two linear maps. For example, if we have two linear maps T: U → V and S: V → W, then the composition of these two maps can be represented as m(ST)^F_G, where G is the basis for the vector space W. This notation allows us to easily perform operations on compositions of linear maps using matrix operations.

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