Linear Algebra (Similar Matrices)

In summary, the standard matrix representation TE for T is a 4x4 matrix where the basis vectors are x^3, x^2, x, and 1. The matrix represents the transformation of a polynomial of degree 3 or less to a polynomial of degree 2 or less. To show that this matrix is similar to another matrix, we need to consider whether T is a function from the space of polynomials of degree 3 or less to itself or to the space of polynomials of degree 2 or less. If the former, the matrix is 4 by 4. If the latter, it is 4 by 3, with the first row being all "0"s.
  • #1
DanielFaraday
87
0

Homework Statement



Write the standard matrix representation TE for T.

Homework Equations



[tex]
T\left(ax^3+bx^2+cx+d\right)=(a-b)x^2+(c-d)x+(a+b-c)
[/tex]

The Attempt at a Solution



[tex]
[T]_E=\left(
\begin{array}{c}
a+b-c \\
c-d \\
a-b \\
0
\end{array}
\right)
[/tex]

I think this is right, but a subsequent problem asks me to show that this matrix is similar to another matrix. Similarity only makes sense for an n x n matrix, so this must be wrong.

Any ideas?
 
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  • #2
The basis 'vectors' are x^3, x^2, x and 1. So ax^3+bx^2+cx+d=(a,b,c,d).This is exactly the same as other exercises you have already done, it's T(a,b,c,d)=(0,a-b,c-d,a+b-c). Sure, it's an 4x4 matrix.
 
  • #3
Is T here a function from the space of polynomials of degree 3 or less to itself or to the space of polynomials of degree 2 or less? If the former, the matrix is 4 by 4. If the latter, it is 4 by 3 (but the first row is all "0"s).
For example, taking x3 as the first "basis vector", T(x3)= ax2+ 0x+ a as a polynomial of degree 2 or less or 0x3+ ax2+ 0 x+ a as a polynomial of degree 3 or less. That is:
[tex]T\begin{bmatrix}1 \\ 0 \\ 0 \\ 0\end{bmatrix}= \begin{bmatrix}a \\ 0 \\ a\end{bmatrix}[/tex]
in the first case or
[tex]T\begin{bmatrix}1 \\ 0 \\ 0 \\ 0\end{bmatrix}= \begin{bmatrix}0 \\ a \\ 0 \\ a\end{bmatrix}[/tex]
in the second.

Do you see that those give you the first column of the matrix?
 
  • #4
Ah yes, I see. I was thinking of T as a vector instead of a transformation. Thanks!
 

1. What does it mean for matrices to be similar?

Matrices are considered similar if they have the same size and shape, and if there exists an invertible matrix that can transform one matrix into the other through a similarity transformation.

2. How can you tell if two matrices are similar?

Two matrices are similar if they have the same eigenvalues and corresponding eigenvectors. This means that they represent the same linear transformation, but in different bases.

3. What is the significance of similar matrices?

Similar matrices are significant because they allow us to easily find the eigenvalues and eigenvectors of a matrix. They also help us understand the relationship between different linear transformations and how they can be represented in different bases.

4. Can similar matrices have different determinants?

No, similar matrices always have the same determinant. This is because the determinant is a property of the linear transformation represented by the matrix, and similar matrices represent the same linear transformation.

5. How can I use similar matrices in practical applications?

Similar matrices are useful in many areas of science and engineering, such as computer graphics, physics, and machine learning. They can help us analyze and solve systems of linear equations, perform transformations on data, and understand the behavior of linear systems.

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