cyclic subspace

In mathematics, in linear algebra and functional analysis, a cyclic subspace is a certain special subspace of a vector space associated with a vector in the vector space and a linear transformation of the vector space. The cyclic subspace associated with a vector v in a vector space V and a linear transformation T of V is called the T-cyclic subspace generated by v. The concept of a cyclic subspace is a basic component in the formulation of the cyclic decomposition theorem in linear algebra.

Definition

Let T:V\rightarrow V be a linear transformation of a vector space V and let v be a vector in V. The T-cyclic subspace of V generated by v, denoted Z(v;T), is the subspace of V generated by the set of vectors \{ v, T(v), T^2(v), \ldots, T^r(v), \ldots\}. In the case when V is a topological vector space, v is called a cyclic vector for T if Z(v;T) is dense in V. For the particular case of finite-dimensional spaces, this is equivalent to saying that Z(v;T) is the whole space V.

{{cite book

| last1 = Hoffman | first1 = Kenneth

| last2 = Kunze | first2 = Ray | author2-link = Ray Kunze

| edition = 2nd

| location = Englewood Cliffs, N.J.

| mr = 0276251

| page = [https://archive.org/details/linearalgebra00hoff_0/page/227 227]

| publisher = Prentice-Hall, Inc.

| title = Linear algebra

| url = https://archive.org/details/linearalgebra00hoff_0 | url-access = registration | year = 1971| isbn = 9780135367971

}}

There is another equivalent definition of cyclic spaces. Let T:V\rightarrow V be a linear transformation of a topological vector space over a field F and v be a vector in V. The set of all vectors of the form g(T)v, where g(x) is a polynomial in the ring F[x] of all polynomials in x over F, is the T-cyclic subspace generated by v.

The subspace Z(v;T) is an invariant subspace for T, in the sense that T Z(v;T) \subset Z(v;T).

=Examples=

  1. For any vector space V and any linear operator T on V, the T-cyclic subspace generated by the zero vector is the zero-subspace of V.
  2. If I is the identity operator then every I-cyclic subspace is one-dimensional.
  3. Z(v;T) is one-dimensional if and only if v is a characteristic vector (eigenvector) of T.
  4. Let V be the two-dimensional vector space and let T be the linear operator on V represented by the matrix \begin{bmatrix} 0&1\\ 0&0\end{bmatrix} relative to the standard ordered basis of V. Let v=\begin{bmatrix} 0 \\ 1 \end{bmatrix}. Then Tv = \begin{bmatrix} 1 \\ 0 \end{bmatrix}, \quad T^2v=0, \ldots, T^rv=0, \ldots . Therefore \{ v, T(v), T^2(v), \ldots, T^r(v), \ldots\} = \left\{ \begin{bmatrix} 0 \\ 1 \end{bmatrix}, \begin{bmatrix} 1 \\ 0 \end{bmatrix} \right\} and so Z(v;T)=V. Thus v is a cyclic vector for T.

Companion matrix

Let T:V\rightarrow V be a linear transformation of a n-dimensional vector space V over a field F and v be a cyclic vector for T. Then the vectors

::B=\{v_1=v, v_2=Tv, v_3=T^2v, \ldots v_n = T^{n-1}v\}

form an ordered basis for V. Let the characteristic polynomial for T be

:: p(x)=c_0+c_1x+c_2x^2+\cdots + c_{n-1}x^{n-1}+x^n.

Then

::

\begin{align}

Tv_1 & = v_2\\

Tv_2 & = v_3\\

Tv_3 & = v_4\\

\vdots & \\

Tv_{n-1} & = v_n\\

Tv_n &= -c_0v_1 -c_1v_2 - \cdots c_{n-1}v_n

\end{align}

Therefore, relative to the ordered basis B, the operator T is represented by the matrix

::

\begin{bmatrix}

0 & 0 & 0 & \cdots & 0 & -c_0 \\

1 & 0 & 0 & \ldots & 0 & -c_1 \\

0 & 1 & 0 & \ldots & 0 & -c_2 \\

\vdots & & & & & \\

0 & 0 & 0 & \ldots & 1 & -c_{n-1}

\end{bmatrix}

This matrix is called the companion matrix of the polynomial p(x).

See also

References