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I am having difficulty proving the following:

Let $V$ be a finite dimensional vector space over the complex numbers, and $T\colon V\to V$ a linear transformation. Prove that $T$ has a nontrivial (not equal to $V$ or to the zero subspace) hyperinvariant subspace iff $T$ is not a scalar transformation (that is, $T$ is not of the form $aI$).

I haven't encountered the term "hyperinvariant" before this question, so I'll append the definition given for that as well:

A subspace $W$ is called $T$-hyperinvariant if for every linear transformation $S\colon V\to V$ that satisfies $ST=TS$, $W$ is $S$-invariant.

This is a question from my course, but it's not homework (it's from a former exam), so feel free to give complete answers. Hints are also welcome, of course.

Thanks in advance!

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Note on terminology: in English, we say "over the complex number", rather than "above the complex numbers". –  Arturo Magidin Sep 19 '11 at 16:44
    
Ah, thanks. I'm not very familiar with English terminology, as you can see (here we sometimes call linear transformations "linear copies"!). –  iroiroaru Sep 19 '11 at 16:48
    
@iroioaru: I fixed the title; rather than "invariant hypersubspaces", you are talking about "hyperinvariant subspaces". –  Arturo Magidin Sep 19 '11 at 18:19

1 Answer 1

up vote 1 down vote accepted

If $\dim(V)\leq 1$, then every linear transformation is a scalar multiple of the identity, and $T$ has no nontrivial hyperinvariant subspace; so we may assume $\dim(V)\gt 1$.

If $T$ is a scalar transformation, then it commutes with every linear transformation; given any proper subspace $W$ of $V$, there is a linear transformation such that $S(W)\neq W$: indeed, let $\{w_1,\ldots,w_k\}$ be a basis for $W$, and let $v_{k+1},\ldots,v_n$ be vectors in $V$ such that $\{w_1,\ldots,w_k,v_{k+1},\ldots,v_n\}$ is a basis for $V$. Because we are assuming that $W$ is not the zero vector space, it follows that $k\geq 1$; because we are assuming that $W\neq V$, it follows that $k\neq n$. In particular, $w_1$ is a nonzero vector in $W$, and $v_n$ is a nonzero vector not in $W$. Now define $S\colon V\to V$ by defining it on the basis $w_1,\ldots,w_k,v_{k+1},\ldots,v_n$ as follows: $$\begin{align*} S(w_i) &= w_i&&\text{if }2\leq i\leq k,\\ S(v_j) &= v_j&&\text{if }k+1\leq j\lt n,\\ S(w_1)&=v_n,\\ S(v_n)&=w_1, \end{align*}$$ and extending linearly. Then $S(W)$ is not contained in $W$, since $w_1\in W$, but $S(w_1)=v_n\notin W$. Since $T=aI$, then $ST=TS$; so $W$ is not hyperinvariant. This holds for any nontrivial subspace of $V$, so we conclude that $T$ has no nontrivial hyperinvariant subspaces. This proves that if $T$ has a nontrivial invariant subspace, then it is not a scalar transformation.

Conversely, suppose that $T$ is not a scalar transformation; let $\lambda$ be an eigenvector of $T$, and let $W$ be the eigenspace of $T$ associated to $\lambda$. Then $W$ is a nontrivial subspace (it's not $0$ because $\lambda$ is an eigenvalue, and it's not $V$ because $T\neq \lambda I$). I claim that $W$ is hyperinvariant.

Indeed, let $S\colon V\to V$ be a linear transformation such that $TS=ST$, and let $w\in W$. Then $$\lambda S(w) = S(\lambda w) = S(T(w)) = T(S(w)),$$ so $S(w)$ lies in the eigenspace of $T$ corresponding to $\lambda$, which is none other than $W$. So $S(W)\subseteq W$, proving that $W$ is $S$-invariant, as claimed. $\Box$

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Thanks! Most of this is a lot simpler than I thought. –  iroiroaru Sep 19 '11 at 16:58
    
@iroiroaru: Added. –  Arturo Magidin Sep 19 '11 at 17:05
1  
@iroiroaru: Note: you should not feel pressured to accept an answer before being sure about it. You had asked a question that I was in the process of explaining when you accepted. In any case, it's often a good idea to wait some time before accepting an answer, as that invites the possibility of other people posting answers that are different from the ones already posted. More proofs = better. Having an answer accepted diminishes the number of replies, in general. –  Arturo Magidin Sep 19 '11 at 17:07

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