Find T-cyclic subspace, minimal polynomials, eigenvalues, eigenvectors

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SUMMARY

The discussion focuses on finding the T-cyclic subspace, minimal polynomials, eigenvalues, and eigenvectors for the linear operator T defined by a specific 6x6 matrix. The matrix is given as follows:

(0 0 0 0 0 1 
0 0 0 0 1 0 
1 0 0 0 0 0 
0 0 0 1 0 0
0 1 0 0 0 0 
0 0 1 0 0 0 )
Participants clarify that the T-cyclic subspace is generated by the span of vectors derived from applying T to the standard basis vectors. The minimal polynomial is determined by the linear dependence of the vectors generated by T, with the degree of the polynomial corresponding to the number of linearly independent vectors before dependence occurs.

PREREQUISITES
  • Understanding of linear transformations and their representation as matrices.
  • Knowledge of eigenvalues, eigenvectors, and eigenspaces.
  • Familiarity with the concept of minimal polynomials in linear algebra.
  • Ability to compute spans and linear independence in vector spaces.
NEXT STEPS
  • Study the computation of T-cyclic subspaces for various linear operators.
  • Learn how to derive minimal polynomials from linear transformations using the characteristic polynomial.
  • Explore the relationship between eigenvalues and the minimal polynomial of a matrix.
  • Investigate the implications of linear dependence in sequences of vectors generated by linear transformations.
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Students and educators in linear algebra, mathematicians focusing on operator theory, and anyone interested in understanding the properties of linear transformations in R^6.

toni07
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Homework Statement



Let T: R^6 -> R^6 be the linear operator defined by the following matrix(with respect to the standard basis of R^6):
(0 0 0 0 0 1
0 0 0 0 1 0
1 0 0 0 0 0
0 0 0 1 0 0
0 1 0 0 0 0
0 0 1 0 0 0 )
a) Find the T-cyclic subspace generated by each standard basis vector.
b) Find all the minimal polynomial of T with respect to each standard basis vector.
c) Find all eigenvalues, eigenvectors, and eigenspaces of T(over R).
d) Find the minimal polynomial of T.

Homework Equations





The Attempt at a Solution


I used the definition of T-cyclic subspace of span{x, T(X), T^2(X),...} for part a, since the basis is already in the matrix, but I don't think I'm right. I don't understand how I'm supposed to find minimal polynomial with respect to basis, I tried to find the determinant of the matrix, but I don't really think that's the right way to go since the matrix contains standard basis. Please help.
 
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toni07 said:

Homework Statement



Let T: R^6 -> R^6 be the linear operator defined by the following matrix(with respect to the standard basis of R^6):
(0 0 0 0 0 1
0 0 0 0 1 0
1 0 0 0 0 0
0 0 0 1 0 0
0 1 0 0 0 0
0 0 1 0 0 0 )
a) Find the T-cyclic subspace generated by each standard basis vector.
b) Find all the minimal polynomial of T with respect to each standard basis vector.
c) Find all eigenvalues, eigenvectors, and eigenspaces of T(over R).
d) Find the minimal polynomial of T.

Homework Equations





The Attempt at a Solution


I used the definition of T-cyclic subspace of span{x, T(X), T^2(X),...} for part a, since the basis is already in the matrix, but I don't think I'm right. I don't understand how I'm supposed to find minimal polynomial with respect to basis, I tried to find the determinant of the matrix, but I don't really think that's the right way to go since the matrix contains standard basis. Please help.

If ##e## is any vector (in particular, a basis vector), look at the sequence of vectors ##e_0 = e, \:e_1 = Te, \:e_2 = T^2 e, \ldots##. If ##e_0,\ldots, e_{r-1}## are linearly independent but ##e_0, \:e_1, \ldots, e_r## are linearly dependent, the minimial polynomial of ##e## has degree ##r##, and the linear combination ##e_r + c_{r-1} e_{r-1} + \ldots + c_0 e_0 = 0## gives the minimal polynomial of ##e## as ##x^r + c_{r-1} x^{r-1} + \ldots + c_0##.
 

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