Generalized Eigenspace and JOrdan Form

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SUMMARY

The discussion focuses on finding a basis for the generalized eigenspace of the linear operator T defined on P2(R) by T(f(x)) = 2f(x) - f '(x). The matrix representation of T is established as [T]_{\beta} = [[2, -1, 0], [0, 2, -2], [0, 0, 2]], with an eigenvalue λ = 2 of multiplicity 3. The Jordan canonical form is determined to be J = [[2, 1, 0], [0, 2, 1], [0, 0, 2]]. The basis for the generalized eigenspace is derived from the eigenvectors and generalized eigenvectors, specifically the vectors [1, 0, 0], [0, -1, 0], and [0, 0, 1/2].

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  • Understanding of linear operators and their matrix representations.
  • Familiarity with eigenvalues and eigenvectors.
  • Knowledge of Jordan canonical form and generalized eigenvectors.
  • Proficiency in solving linear equations and matrix operations.
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  • Study the properties of Jordan canonical forms in linear algebra.
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Students and professionals in mathematics, particularly those studying linear algebra, eigenvalue problems, and matrix theory. This discussion is beneficial for anyone seeking to deepen their understanding of generalized eigenspaces and Jordan forms.

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Homework Statement


For each linear operator T, find a basis for each generalized eigenspace of T consisting of a union of disjoint cycles of generalized eigenvectors. The find a Jordan canonical form J of T.

a) T is the linear operator on P2(R) defined by T(f(x)) = 2f(x) - f '(x)

Homework Equations


The Attempt at a Solution



OK, so I know the matrix rep of this transformation on the standard basis {1, x, x2}:
T(1) = 2
T(x) = -1 + 2x
T(x2) = -2x + 2x2

[tex][T]_{\beta}[/tex] =
2 -1 0
0 2 -2
0 0 2 and the eigenvalue of this matrix is [tex]\lambda[/tex] = 2 with a multiplicity of 3.

I know the JOrdan form will be :

2 1 0
0 2 1
0 0 2 , just not sure how to get the basis or how to get the J from the [T]
 
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Any eigenvector corresponding to eigenvalue 2 must satisfy
[tex]\begin{bmatrix}2 & -1 & 0 \\0 & 2 & -2 \\ 0 & 0 & 2\end{bmatrix}\begin{bmatrix}x \\ y \\ z \end{bmatrix}[/tex]
[tex]= \begin{bmatrix}2a- b & 2b- 2c & 2c\end{bmatrix}=\begin{bmatrix} 2x \\ 2y \\ 2z\end{bmatrix}[/tex]

So we have 2a- b= 2a, 2b- 2c= 2b, and 2c= 2c. The first says that b= 0 and the second that c= 0. All eigenvectors are multiples of [tex]\begin{bmatrix}1 \\ 0 \\ 0\end{bmatrix}[/tex].

The characteristic equation for this operator is [itex](\lambda- 2)^3= 0[/itex] and, since a matrix always satifies its own characteristic equation, we must have [itex](T- 2I)^3v= 0[/itex] for all vectors v. Of course if Tv= 2v, that is if v is an eigenvector, the (T- 2I)v= 0 so [itex](T- 2I)^3v= 0[/itex]. But the eigenvectors for this T only span a one-dimensional subspace.

We need to find v such that (T-I)v is not 0 but is in that eigen-space: then we would have [itex](T- I)^2((T-I)v)= (T-I)^2v= 0[/itex]- a "generalized eigenvector".

That is, we look for x, y, z such that
[tex]\begin{bmatrix}0 & -1 & 0 \\ 0 & 0 & -2 \\ 0 & 0 & 0\end{bmatrix}\begin{bmatrix} x \\ y \\ z \end{bmatrix}[/tex][tex]= \begin{bmatrix} -y \\ -2z \\ 0 \end{bmatrix}= \begin{bmatrix}1 \\ 0 \\ 0\end{bmatrix}[/tex].

It is easy to see that
[tex]\begin{bmatrix}0 \\ -1 \\ 0\end{bmatrix}[/tex]
works.

But now we need a vector such that neither (T- 2I)v= 0 nor [itex](T- 2I)^2v= 0[/itex] but such that [itex](T- 2I)^3v= 0[/itex]. Now we need [itex](T- 2I)^2v[/itex] to be an eigenvector which will be the case if
[tex]\begin{bmatrix}0 & -1 & 0 \\ 0 & 0 & -2 \\ 0 & 0 & 0\end{bmatrix}\begin{bmatrix}x \\ y \\ z\end{bmatrix}[/tex][tex]= \begin{bmatrix}-y \\ -2z \\ 0\end{bmatrix}= \begin{bmatrix}0 \\ -1 \\ 0\end{bmatrix}[/tex]

That gives
[tex]\begin{bmatrix}0 \\ 0 \\ \frac{1}{2}\end{bmatrix}[/tex]

Those three vectors form the basis. If P is the matrix having those vectors as columns, then [itex]P^{-1}TP[/itex] will be in Jordan Normal Form.
 
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