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Invariant Subspaces:

Definition 6.1.1   For $ T \in B(X)$, $ X$ a Banach spaces, we call $ M \leq X$ an invariant subspace for $ T$ is for all $ x \in M$, $ Tx \in M$.

Because subsapces in $ X$ do not have orthogonal complements (only Hilbert spaces have there), there is no way to define reducing subspaces. A subspace may have many complements.

For $ T \in B(X)$, define Lat $ T$ to be the invariant subspaces of $ T$. Notice, $ 0, X \in$   Lat $ T$. There are called trivial. For $ M,N \in$   Lat $ T$, define $ M \wedge N$ ($ M$ meet $ N$) to be $ M \cap N$. Note $ M \cap N \in$   Lat $ T$. Define % latex2html id marker 17499
$ M \vee N = \overline{\\ text{span}\{ M \cup N \}}$ ($ M$ join $ N$). Thus, $ M \vee N \in$   Lat $ T$.

Similarly, we can define $ \vee$ and $ \wedge$ for arbitrary collections of elements of Lat $ T$. That is Lat $ T$ is a complete lattice with 0 as the smallest element and $ X$ the biggest.

Theorem 6.1.2   Reed (1984), Enflow/Beauzamy (1985)
There is a non-reflexive Banach space $ X$ and $ T \in B(X)$ such that Lat $ T = \{ 0, X \}$

Later, Reed showed that $ X$ can be taken to be $ \ell^1$.

Open Question: If $ X$ is reflexive, is it possible to have $ T \in B(X)$ where Lat $ T = \{ 0, X \}$. In particular, this is open for $ X$ a separable Hilbert space.

In general, it is very hard to find Lat $ T$ (in general).

Examples:

  1. $ V:L^2[0,1] \rightarrow L^2[0,1]$ where $ V$ is the Volterra operator $ (Vf)(x) = \int_0^x f dm$.
    Let $ M_\alpha \leq L^2[0,1]$ be $ f \in L^2 : f\vert _{[0,\alpha]} \equiv 0$. Clearly, $ M_\alpha \in$   Lat $ V$. In fact,

       Lat $\displaystyle V = \{ M_\alpha : \alpha \in [0,1] \} $

    Notice Lat $ V$ is a (totally ordered) chain.
  2. Let $ S:\ell^2 \rightarrow \ell^2$ be the shift operator

    $\displaystyle S(x_1,x_2, \ldots) = (0, x_1, x_2, \ldots ) $

    Lat $ S$ is large and is parameterized using analytic functions (Beurling's Theorem in Rudin). E.g., subspace of elements of the form $ (0,0,0,x_4,x_5, \ldots)$.
  3. Let $ T = \begin{bmatrix}0 & 1 \ 1 & 1 \end{bmatrix}$ acting on $ \mathbb{R}^2$. Then Lat $ T$ is trivial, since $ T$ is a rotation by $ 90$ degrees.
  4. Every matrix/operator on $ B(\mathbb{C}^n$ has nontrivial invariant subspaces. This is because there exists $ \alpha \neq 0$ such that $ (T - \alpha I)$ is not invertible (This is in the book).
  5. (Not in the book). Suppose $ T \in B(H)$, $ \Vert T\Vert = 1$. If

    $\displaystyle \{ z \in \mathbb{C}: T - zI$    is not invertible $\displaystyle \} \supset \mathbb{T}$

    then $ T$ has a nontrivial invariant subspace where

    $\displaystyle \mathbb{T}= \{ z \in \mathbb{C}: \vert z\vert = 1 \}. $

Theorem 6.1.3   Lomonosov, 1973:
Let $ T \in B(X)$, $ X$ is a Banach space over $ \mathbb{C}$, and $ T$ is not a multiple of the identity. If there is a nonzero compact operator $ K$ such that $ TK = KT$, then $ T$ has a nontrivial hyper-invariant subspace. That is, there is $ M \leq X$ such that $ \forall A \in B(X)$ where $ AT = TA$, $ AM \subset M$.

We need two preliminary results first:

Theorem 6.1.4   Mazur's Theorem:
Let $ X$ be a Banach space and $ K \subset X$ be compact. Then % latex2html id marker 17632
$ \overline{\text{co }}(K)$ is compact

Proof. We need to show % latex2html id marker 17637
$ \overline{\text{co }}(K)$ is totally bounded. Let $ \epsilon > 0$. Since $ K$ is compact, it has an $ \frac\epsilon 4$-net $ x_1, \ldots, x_n$.

Let $ C =$   co $ \{ x_1, \ldots, x_n \}$ (which is a finite-dimensional set). This is easily seen to be compact since it is bounded and finite-dimensional (use Heine-Borel).

Let $ y_1, \ldots, y_m$ be an $ \frac\epsilon 4$-net for $ C$. Let % latex2html id marker 17656
$ w \in \overline{\text{co }}(K)$. Thus there is $ z \in$   co $ (K)$ such that $ \Vert z - w\Vert < \frac\epsilon 4$.
Thus, there is $ \alpha_1, \ldots , \alpha_p$ such that

$\displaystyle z = \sum_{p=1}^\ell \alpha_p k_p,  $    where $\displaystyle k_p \in K,   \alpha_i \neq 0,   \sum_{p=1}^n \alpha_p = 1 $

For each $ p$ there is $ x_\lambda(p)$ such that

$\displaystyle \Vert x_p - x_\sigma(p)\Vert < \frac\epsilon 4 $

Let

$\displaystyle a = \sum_{p=1}^\ell \alpha_p x_\sigma(p) \in C $

Then,

$\displaystyle \Vert z - a\Vert \leq \sum_{p=1}^\ell \vert\alpha_p\vert \Vert k_p - x_\sigma(p)\Vert \leq \frac\epsilon 4 $

As $ a \in C$, there exists $ y_i$ such that $ \Vert y_i - a\Vert < \frac\epsilon 4$. Thus,

$\displaystyle \Vert w - y_i \Vert < \epsilon $

So the $ y_i$ are an $ \epsilon $-net for % latex2html id marker 17690
$ \overline{\text{co }}(K)$. $ \qedsymbol$

Monday, April 3, 2006:

Lemma 6.1.5   Lomonosor's Lemma
Let $ \mathcal{A}$ be a subalgebra of $ B(H)$ and assume $ I \in \mathcal{A}$, Lat $ \mathcal{A}= \{ 0, \mathcal{A}\}$. Let $ K$ be a nonzero compact operator on $ X$. There is $ A \in \mathcal{A}$ such that $ \ker( AK - I) \neq 0$. That is, there is $ y \in X$ such that $ AKy = y$.

Proof. WLOG, $ \Vert K\Vert = 1$. Fix $ x_0 \in X$ such that $ \Vert K x_0\Vert > 1$. Let

$\displaystyle S = \{ x \in X : \Vert x - x_0\Vert \leq 1 \} = \overline{B_1(x_0)} $

Notice: $ 0 \notin S$, $ 0 \notin \overline{K(S)}$ as $ \overline{K(S)} \subset \overline{B_1(K x_0)}$. Consider

$\displaystyle \{ Tx : T \in \mathcal{A}\} $

for some fixed $ x in X, x \neq 0$. This is in Lat $ \mathcal{A}$ and it is not 0 (as $ I \in \mathcal{A}$). Thus,

$\displaystyle \overline{\{ Tx : T \in \mathcal{A}\}} = X $

Thus, for any $ y \in \overline{K(S)}$, there is $ T \in \mathcal{A}$, such that $ \Vert Ty - x_0 \Vert < 1$. Equivalently,

$\displaystyle \overline{K(S)} \subset \bigcup_{T \in \mathcal{A}} \{ y : \Vert Ty - x_0\Vert < 1 \} $

where the right hand side is open. By the compactness of $ K$, $ \overline{K(S)}$ is compact. So, there is $ T_1, \ldots, T_n$ such that

$\displaystyle \overline{K(S)} \subset \bigcup_{j=1}^n \{ y : \Vert T_j y - x_0 \Vert < 1 \} $

For $ y \in \overline{K(S)}$, $ j \in \{ 1, \ldots, n \}$, let $ a_j(y) = \max \{ 0, 1 - \Vert T_j y - x_0\Vert \}$. Then,

$\displaystyle \sum_{j=1}^n a_j(y) > 0 $

Let

$\displaystyle b_j(y) = \frac{a_j(y)}{\sum_{k=1}^n a_k(y)} $

Then,

$\displaystyle \sum_{j=1}^n b_j(y) = 1 $

for all $ y$.
Define $ \psi : S \rightarrow X$

$\displaystyle \psi(x) = \sum_{j=1}^n b_j(K x ) T_j Kx. $

It is easy to see that $ a_j$ (hence, $ b_j$ and $ \psi$ are continuous). If $ x \in S$, $ Kx \in K(S)$. If $ b_j(Kx) > 0$, then $ a_j(Kx) > 0$ and $ \Vert T_j Kx - x_0 \Vert < 1$. That is, $ T_j Kx \in S$ whenever $ b_j(Kx) > 0$. Thus, as $ S$ is convex, $ \psi(S) \subset S$. ($ \psi(x)$ is a convex combination of elements of $ S$).
Notice $ T_j K$ is compact and % latex2html id marker 17809
$ \textrm{ran }\psi$ is contained in

% latex2html id marker 17811
$\displaystyle \overline{\text{co }}\{ T_J K(\text{ball }X) : j = 1, \ldots, n \} $

By Mazur, this set is compact. By Schauder's Fixed Point Theorem, there is $ y \in S$ such that $ \psi(y) = y$.

Let $ \beta_j = b_j(Ky)$. Let $ A = \sum \beta_j T_j \in \mathcal{A}$. Then,

$\displaystyle A Ky = \sum_{j=1}^n \beta_j t_j K y = \sum_{j=1}^n b_j(Ky) T_j(Ky) = \psi(y) = y $

$ \qedsymbol$

Proof. Proof of Lomonosor's Theorem:
Let

$\displaystyle \mathcal{A}= \{ A \in B(X) : AT = TA \} $

So $ K \in A$. It suffices to prove that Lat $ A \neq \{ 0, X \}$. Assume Lat $ A = \{ 0, X \}$. By Lomonosor's Lemma, there is $ A \in \mathcal{A}$ such that $ \ker( AK - I) \neq 0$. Let $ N = \ker (AK - I)$. Then,

$\displaystyle N \in$   Lat $\displaystyle (AK) $

$\displaystyle AK\vert _N = I_N $

As $ AK$ is compact, $ AK\vert _N$ is compact. The only compact identity operators are the ones on finite-dimensional spaces. Thus, $ \dim N < \infty$.

As $ AK \in \mathcal{A}$, so

$\displaystyle Tx = T(AKx) = AK(Tx). $

Hence, $ T N \subset N$. Now, $ T\vert _N$ has an eigenvalue, $ \lambda$ So, $ \ker(T-\lambda) \neq 0$. Now $ \ker(T - \lambda) \neq X$, as $ T$ is not a multiple of the identity.

Claim: $ \ker(T - \lambda) \in$   Lat $ A$.

Proof. If $ \lambda \neq 0$,

$\displaystyle Ax = A \frac1\lambda (\lambda x) = \frac1\lambda A\lambda x = \frac1\lambda A(Tx) = \frac1\lambda T(Ax) $

$\displaystyle T(\frac{Ax}{\lambda}) $

Thus,

$\displaystyle T(Ax) = \lambda Ax $

Thus, $ Ax \in \ker T - \lambda$. This is true for all $ x \in \ker$, $ A \in \mathcal{A}$, proving the claim. $ \qedsymbol$

This gives a contradiction, so Lat $ \mathcal{A}\neq \{ 0, X \}$. $ \qedsymbol$


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Next: Spectral Theory Up: Compact Operators on Banach Previous: Compact Operators on Banach
Brian Bockelman 2006-04-21