Generating a vector space via a T-cyclic subspace

In summary, the solution to this problem may be trivial or very difficult depending on the particular map in question, but it is possible to find a vector which is not an eigenvector of a given linear operator and which can be used to generate the entire space.
  • #1
Bipolarity
776
2
I've been thinking about a problem I made up. The solution may be trivial or very difficult as I have not given too much thought to it, but I can't think of an answer of the top of my head.

Let ## T:V → V ## be a linear operator on a finite-dimensional vector space ##V##. Does there exist a vector ## v \in V ## for which the T-cyclic subspace of ##V## generated by ##v## is ##V##? This is certainly not true in general, since if ##T## is the zero transformation and ##V## has dimension greater than 1 then no T-cyclic subspace will equal ##V##.

But what about for an arbitrary linear map?

BiP
 
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  • #2
Let's just look at a 2-dim space. Let T = [tex]
\begin{pmatrix}
0 & 1 \\
1 & 0\\

\end{pmatrix}
[/tex]
and v = (1,0). Then Tv = (0,1). Clearly v and Tv are a basis for the entire space.
 
  • #3
brmath said:
Let's just look at a 2-dim space. Let T = [tex]
\begin{pmatrix}
0 & 1 \\
1 & 0\\

\end{pmatrix}
[/tex]
and v = (1,0). Then Tv = (0,1). Clearly v and Tv are a basis for the entire space.

How can we generalize this for an arbitrary linear map?

BiP
 
  • #4
Assuming we are in a finite dimensional vector space, of dimension n, you need to pick a T such that [tex]T^n= T [/tex] but if 1 < m < n [tex] T^m \neq T.[/tex]
If you do have [tex]T^m = T[/tex] for 1 < m < n then the T-cyclic subspace has only dimension m, because that is all the independent vectors you can generate with powers of T.

Now there is bound to be some specific vector v such that [tex]T^mv = Tv[/tex] even though [tex]T^m \neq T.[/tex] That vector is in fact any eigenvector of [tex]T^m - T.[/tex] You can't generate the entire space V using that kind of vector v. However, there is bound to be a vector u which is not an eigenvector of [tex]T^m - T[/tex] for any 1 < m < n. You can use u to generate the entire space.

Does every n dimensional vector space have a linear operator which is cyclic of degree n? Yes. Start with my 2 dimensional example and see if you can find something similar in 3 dimensions. Once you get that far, you'll see how to generate such a T in n dimensions.
 
  • #5
olarBear,

This is an interesting question to consider. In general, the answer to whether there exists a vector ##v \in V## for which the T-cyclic subspace of ##V## generated by ##v## is ##V## will depend on the specific properties of the linear operator ##T## and the vector space ##V##.

One approach to tackling this problem would be to consider the eigenvalues and eigenvectors of ##T##. If ##T## has a full set of distinct eigenvalues, then it is possible to find a vector ##v## that generates a T-cyclic subspace that is equal to ##V##. This is because the eigenvectors corresponding to distinct eigenvalues are linearly independent, and thus span the entire vector space ##V##.

However, if ##T## has repeated eigenvalues or if the eigenvalues are not distinct, then it may not be possible to find a vector ##v## that generates a T-cyclic subspace that is equal to ##V##. In this case, the T-cyclic subspace generated by ##v## will be a proper subspace of ##V##.

Another approach to consider would be to examine the structure of the vector space ##V## itself. If ##V## has a basis consisting of eigenvectors of ##T##, then it is possible to find a vector ##v## that generates a T-cyclic subspace that is equal to ##V##. However, if ##V## does not have such a basis, then it may not be possible to find such a vector ##v##.

Overall, the existence of a vector ##v## for which the T-cyclic subspace generated by ##v## is equal to ##V## will depend on the specific properties of the linear operator ##T## and the vector space ##V##. Further investigation and analysis would be needed to determine the necessary and sufficient conditions for such a vector to exist.
 

FAQ: Generating a vector space via a T-cyclic subspace

What is a T-cyclic subspace?

A T-cyclic subspace is a subspace of a vector space that is generated by repeatedly applying a linear transformation T to a single vector. In other words, the subspace is the span of all vectors that can be obtained by applying T to the original vector.

How is a T-cyclic subspace different from a regular subspace?

A T-cyclic subspace is a special type of subspace that is generated by a single vector and a linear transformation, while a regular subspace can be generated by any set of vectors. Additionally, a T-cyclic subspace is always invariant under the linear transformation T, meaning that applying T to any vector in the subspace will result in another vector in the subspace.

Why is generating a vector space via a T-cyclic subspace useful?

Generating a vector space via a T-cyclic subspace allows us to understand the properties and behavior of a linear transformation T in a more efficient way. It also simplifies computations and allows us to easily analyze the structure of the vector space.

What are some examples of T-cyclic subspaces?

One example of a T-cyclic subspace is the set of all polynomials of degree n or less, where T is a differentiation operator and the single vector is the polynomial x^n. Another example is the set of all multiples of a particular vector, where T is a scalar multiplication operator.

How can we generate a vector space via a T-cyclic subspace?

To generate a vector space via a T-cyclic subspace, we start with a single vector v and repeatedly apply the linear transformation T to it. The resulting vectors will form a basis for the T-cyclic subspace, and the subspace itself will be the span of these vectors. This process can be continued until we have enough vectors to span the entire vector space.

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