Matteo's question at Yahoo Answers (change of basis)

In summary, the matrix of change of basis $M_{B',\;B}(L)$ is the result of multiplying the inverse of the change-of-basis matrix in $\mathbb{R}^2$ by the matrix of the linear map $L$ with respect to the canonical bases in $\mathbb{R}^3$ and $\mathbb{R}^2$, and then multiplying by the change-of-basis matrix in $\mathbb{R}^3$.
  • #1
Fernando Revilla
Gold Member
MHB
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Here is the question:

Let L: IR^3 -> IR^2 the linear map represented by the matrix A:

7 7 7
7 7 7

with respect to the canonical bases in arriving and departing.

Are B:

0 1 3
1 0 2
0 0 1

and B':

1 1
2 0

respectively bases of R^3 and R^2.
Find the matrix of change of basis MB' ,B (L)

Here is a link to the question:

Matrix of change of basis? - Yahoo! Answers

I have posted a link there to this topic so the OP can find my response.
 
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  • #2
Hello Matteo,

The change-of-basis matrix in $\mathbb{R}^3$ from $B_c=\{(1,0,0),(0,1,0),(0,01)\}$ to $B=\{(0, 1, 3), (1, 0, 2), (0, 0, 1)\} $ is
$$P=\begin{bmatrix}{0}&{1}&{0}\\{1}&{0}&{0}\\{3}&{2}&{1}\end{bmatrix}$$
The change-of-basis matrix in $\mathbb{R}^2$ from $B^*_c=\{(1,0),(0,1)\}$ to $B'=\{(1, 1), (2, 0)\} $ is
$$Q=\begin{bmatrix}{1}&{2}\\{1}&{0}\end{bmatrix}$$
The matrix of $L$ with respect to $B_c$ and $B_c^*$ is
$$A=\begin{bmatrix}{7}&{7}&{7}\\{7}&{7}&{7} \end{bmatrix}$$

Accorging to a well-konwn theorem, the matrix of $L$ with respect to the new basis $B$ and $B'$ is $Q^{-1}AP$, so
$$M_{B',\;B}(L)=\begin{bmatrix}{1}&{2}\\{1}&{0} \end{bmatrix}^{-1}
\begin{bmatrix}{7}&{7}&{7}\\{7}&{7}&{7} \end{bmatrix}\begin{bmatrix}{0}&{1}&{0}\\{1}&{0}&{0}\\{3}&{2}&{1} \end{bmatrix}=\ldots$$
 

FAQ: Matteo's question at Yahoo Answers (change of basis)

1) What is "change of basis" in the context of Matteo's question at Yahoo Answers?

Change of basis refers to the process of converting a vector or set of vectors from one coordinate system to another. In the context of Matteo's question, it relates to finding the coefficients of a vector in a new basis using a given transformation matrix.

2) Why is change of basis important in linear algebra?

Change of basis is important in linear algebra because it allows us to represent vectors and linear transformations in different coordinate systems. This can simplify calculations and make it easier to analyze and understand the underlying structure of a problem.

3) How do you find the transformation matrix for a change of basis?

To find the transformation matrix for a change of basis, you need to first determine the new basis vectors and express them as linear combinations of the old basis vectors. Then, the columns of the transformation matrix will be the coefficients of the new basis vectors in terms of the old ones.

4) What is the relationship between change of basis and eigenvectors?

Eigenvectors play a crucial role in change of basis because they are the vectors that remain unchanged under a linear transformation. In other words, they are the basis vectors for the transformed space. This makes them useful in finding the transformation matrix for a change of basis.

5) How is change of basis applied in real-world problems?

Change of basis is applied in various fields such as physics, engineering, and computer science. For example, in graphics and image processing, it is used to rotate, scale, and skew images. In physics, it is used to represent vectors in different coordinate systems, such as Cartesian and spherical coordinates. In general, it is a useful tool for solving problems that involve multiple coordinate systems and transformations between them.

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