Change of Basis between different size spaces

In summary, the matrix [T]\alpha\alpha is calculated by expressing the vectors in R3 in terms of the basis \alpha and using those coefficients as the columns of the matrix.
  • #1
trap101
342
0
Hi,

I'm working on an example question with the following info:

[itex]\alpha[/itex] = {(3,0,1) , (3,1,1), (2,1,1)} [itex]\beta[/itex] = {(1,1), (1,-1)} Are a set of bases. [T][itex]\beta\alpha[/itex] = \begin{bmatrix} 1 & 2 & -1\\ 0 & 1 & -1 \end{bmatrix} Now they go on to say:

Let T: R3--> R3 be the transformation whose matris with respect to the basis [itex]\alpha[/itex] is:


[T][itex]\\alpha\alpha[/itex] = \begin{bmatrix} 1 & 1 & 0 \\ 0 & 1 & 1 \\ 0 & 0 & 1 \end{bmatrix}

Now I'm trying to do some back calculations to figure out how they got that matrix, but the only thing I know would be to use a calculation such as [itex]\beta\alpha[/itex] [T][itex]\alpha\beta[/itex]


But I can't write out a vector in R2 as a linear combination of vectors in R3 right? So how would I get that

[T][itex]\\alpha\alpha[/itex] = \begin{bmatrix} 1 & 1 & 0 \\ 0 & 1 & 1 \\ 0 & 0 & 1 \end{bmatrix}
 
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  • #2
Thanks!The matrix [T]\alpha\alpha is the matrix representation of the linear transformation T with respect to the basis \alpha. You can calculate it by expressing the vectors in R3 in terms of the basis \alpha. For example, for the first column of the matrix, you would need to express the vector (1,0,0) = 1*(3,0,1)+0*(3,1,1)+0*(2,1,1). This gives you the first column of the matrix as (1, 0, 0). Similarly, you can calculate the other columns.
 

Related to Change of Basis between different size spaces

1. What is a change of basis between different size spaces?

A change of basis refers to the process of expressing vectors in a given space using a different set of basis vectors. When changing the basis between spaces of different sizes, the dimensionality of the original space is altered, requiring a new set of basis vectors to represent the vectors in the new space.

2. Why is a change of basis necessary between different size spaces?

A change of basis is necessary when working with spaces of different sizes because the dimensions of the original space and the new space do not align. This misalignment makes it impossible to directly compare or perform computations with vectors in the different spaces without first changing the basis.

3. How is a change of basis between different size spaces performed?

The process of changing the basis between spaces of different sizes involves finding a transformation matrix that maps vectors from the original space to the new space. This transformation matrix is typically found by solving a system of linear equations using the basis vectors of the original and new spaces.

4. What are some real-world applications of change of basis between different size spaces?

Change of basis is used in various fields such as computer graphics, image processing, and quantum mechanics. For example, in computer graphics, it is used to rotate and scale objects in a 3D space. In quantum mechanics, it is used to express wavefunctions in different coordinate systems.

5. What are some challenges or limitations when performing a change of basis between different size spaces?

One challenge is finding a suitable set of basis vectors for the new space. It requires knowledge of linear algebra and the properties of vector spaces. Additionally, the process can become computationally intensive when dealing with high-dimensional spaces. Another limitation is that the transformation matrix may not be unique, leading to different results depending on the chosen basis vectors.

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