Existence of n T-invariant Subspaces in Vector Spaces and Linear Operators

  • Thread starter graceytigger
  • Start date
  • Tags
    Subspaces
In summary, a T-invariant subspace is a subset of a vector space that remains unchanged under a linear transformation T. It is specifically defined in relation to T and is closed under its operation. T-invariant subspaces are important for simplifying the analysis of T and can be determined by checking if T applied to any vector in the subspace results in another vector in the subspace. A vector space can have multiple T-invariant subspaces, including the zero subspace and the entire vector space itself, depending on the specific T.
  • #1
graceytigger
1
0
Hi everyone- any help would be great!

For each integer n>= 2, there exists a vector space V and a linear
operator T : L(V ) such that V has exactly n T- invariant subspaces.

I think it is true but i do not know how to prove it...
awesome thanks!
 
Physics news on Phys.org
  • #2
try it for n=2. what have you got?
 
  • #3


Hello, thank you for your question. The statement is indeed true and can be proven using induction on the dimension of the vector space. Let's first define what a T-invariant subspace is.

A subspace W of a vector space V is called T-invariant if T(W) is a subset of W. In other words, the linear operator T maps vectors in W to other vectors in W.

Now, let's consider the base case n=2. For a vector space V with dimension 2, we can have two T-invariant subspaces: the zero subspace {0} and the entire vector space V.

Now, assume that for some integer k>=2, the statement is true for all vector spaces with dimension k. That is, for any linear operator T on a vector space V with dimension k, there exists exactly k T-invariant subspaces.

We will now prove that the statement is also true for dimension k+1. Consider a vector space V with dimension k+1 and a linear operator T on V. By the induction hypothesis, we know that there exist k T-invariant subspaces W1, W2, ..., Wk of V.

Now, consider the subspace W = W1 + W2 + ... + Wk. This subspace is also T-invariant since for any vector w in W, we can write it as a linear combination of vectors in W1, W2, ..., Wk and T(w) will also be a linear combination of vectors in W1, W2, ..., Wk, thus remaining in W.

Additionally, we know that V/W is also a vector space with dimension 1. Therefore, by the base case, there exists exactly one T-invariant subspace U of V/W.

Combining these two subspaces, we have a total of k+1 T-invariant subspaces of V, satisfying the statement for dimension k+1.

Thus, by induction, the statement is true for all n>=2. I hope this helps.
 

1. What is a T-invariant subspace?

A T-invariant subspace is a subspace of a vector space that remains unchanged under a linear transformation T. In other words, if a vector v is contained in the subspace, then T(v) is also contained in the subspace.

2. How is a T-invariant subspace different from a regular subspace?

A T-invariant subspace is specifically defined in relation to a linear transformation T, whereas a regular subspace is simply a subset of a vector space that satisfies certain properties. Additionally, a T-invariant subspace is closed under the operation of T, meaning that applying T to any vector in the subspace will result in another vector in the subspace.

3. Why are T-invariant subspaces important?

T-invariant subspaces are important because they allow us to simplify the analysis of a linear transformation T by breaking it down into smaller, more manageable subspaces. This can be particularly useful when studying complex systems or when trying to find certain properties or patterns within a transformation.

4. How can one determine if a subspace is T-invariant?

To determine if a subspace is T-invariant, one can use the following property: if a vector v is contained in the subspace, then T(v) must also be contained in the subspace. Another way is to check if the subspace is closed under the operation of T, meaning that T applied to any vector in the subspace results in another vector in the subspace.

5. Can a vector space have more than one T-invariant subspace?

Yes, a vector space can have multiple T-invariant subspaces. In fact, every vector space has at least two T-invariant subspaces: the zero subspace (containing only the zero vector) and the entire vector space itself. Other T-invariant subspaces may also exist depending on the specific linear transformation T.

Similar threads

  • Linear and Abstract Algebra
Replies
3
Views
1K
Replies
2
Views
1K
  • Linear and Abstract Algebra
Replies
3
Views
1K
  • Linear and Abstract Algebra
Replies
4
Views
833
  • Linear and Abstract Algebra
Replies
1
Views
830
  • Linear and Abstract Algebra
Replies
1
Views
2K
  • Linear and Abstract Algebra
Replies
10
Views
324
  • Linear and Abstract Algebra
Replies
3
Views
3K
Replies
3
Views
1K
  • Calculus and Beyond Homework Help
Replies
0
Views
440
Back
Top